Business Context Execution Engine
Live

The Bidirectional
Business Context
Execution Engine

Governed business context for AI agents.

Not moved. Not duplicated. Activated.

So that AI can execute with quality, privacy, security, traceability, audit and control, in both directions, in real time.

01 Data Activation 02 Governance & Privacy 03 Business Context 04 AI Execution Distributed data AI-ready actions
Category of one

We solve the data-metadata problem,
end-to-end.

DataModal provides a multi-modal, bi-directional, industry-standards based business context execution engine. Our integrated solution accelerates time to market for your AI & Agentic initiatives by addressing the data-metadata challenge, while automating data governance, data quality, lineage, traceability, audit and compliance controls.

CAPABILITY
TYPICAL STACK, POINT TOOLS
DATAMODAL
→Multimodal data integration
Each tool handles one modality
✓Every modality, one platform
→Bidirectional execution
Read-only views or one-way sync
✓Reads and writes, governed, both ways
→Ontology & semantic layer
Bolt-on catalogs, after the fact
✓Industry standards based models with deterministic integrity and traceability
→Enterprise repository, data quality and compliance control plane
Fragmented solutions that don't solve the problem
✓Automated metadata governance, data quality, lineage, audit, compliance
→Business context execution
Pipelines and glue code
✓Intelligent bi-directional business context execution engine & composite MCP engine
Multimodal

One platform. One solution. Multimodal.

Integrated data & metadata middleware for AI & Agentic.

End-to-end data and metadata capability for AI. One platform that connects, governs, understands and executes across every system and modality.

DataModal multimodal wheel: Business Context Execution Engine, Data Virtualization, Data Streaming, Data Prep, ETL/ELT, Intelligent Data Fabric / Mesh

▸ HOVER OR CLICK A CAPABILITY

We are about results

The DataModal Difference.

Without DataModal
6-9 months
to prepare AI-ready data
40-70%
of data-team time on prep
Models fail
when deployed across systems
Manual
governance, no lineage
88%
of pilots never reach production
With DataModal
↑Under 30 days
to AI-ready data products
↑3×-5×
data engineering productivity
↑Consistent
semantics across all systems
↑Automated
end-to-end governance and lineage
↑Production
AI initiatives, not just pilots
How DataModal delivers it
In placeData secured at its source with zero code. Nothing has to migrate.
Discover & mapAutomated discovery and semantic mapping
Ontology layerShared meaning across every system
Governance by DefaultAutomated governance, lineage, and compliance.
Deliver via MCPData and metadata with full context to agents in real time
One governed pipeline is why the results above hold, data is AI-ready in under 30 days, semantics stay consistent across systems, governance and lineage are automatic, and AI reaches production instead of stalling in pilots.
The bidirectional difference

Your data stays virtual. Always in place.

Your data stays where it lives. DataModal spins context out to every source, and brings governed answers back. Both ways. Always on.

Business context execution leveraging an intelligent data fabric

We enable many-to-one, many-to-many, many-to-any views. We can aggregate data across systems, and shred data into multiple systems.

Your transactional and analytical systems can integrate bi-directionally with AI & Agentic.

Solution: virtual view, apps and services above one governed model (graph, ontology, JSON, XML, SQL) with bidirectional virtual views to applications, mainframe and DBMS
Data stays at source
Your data never moves, context is delivered to it, in place.
At sourceCloud · on-prem · databases
Context layerShared ontology + semantic
ConsumersPipelines · agents (MCP)
  • Secured in originating systems, no centralized consolidation
  • Unified discovery, access & translation across cloud and on-premises
  • Automated tagging, curation & organization, enterprise-wide
Non-disruptive integration
Modernize the estate without disrupting what runs today.
ExistingSoftware & hardware
InterfaceREST-API, SQL, Kafka, HTTP/S
Governed fabricIntegrated · operated
  • Standards-compliant, spans multiple API types, including Fabric API/SDK
  • Mission-critical systems integrated, governed & operated
  • Minimal change to existing processes & active operations

DataModal enables you to be AI-ready without the need for a data lake or a data warehouse. AI Agents most often require direct integration with transactional systems. With the bi-directional integration capabilities provided by DataModal, there is no need to build an expensive enterprise data lake or data warehouse. We will enable you to directly integrate AI & Agents with enterprise transactional and analytical systems.

For organizations seeking to build a data lake or data warehouse, we enable you to integrate with disparate systems, create data products and load gold layers directly. DataModal provides the flexibility that enterprises seek whether its virtualization or physicalization. We provide a multi-modal solution to implement both approaches and deliver a governed data platform with full context.

Intelligent Data Fabric

Context goes to the data from disparate data sources, information is linked together, governed answers return. Many-to-any, many-to-many, one-to-many: polymorphic data integration.

Your data · at source
Databases & WarehousesSQL · lakehouse
APIs & SaaS SystemsREST · MCP
Files, Docs & Streamsunstructured
Siloed / Multi-enclave Nodesfederated
never moves
Spider-AI · context mesh
Knowledge Graphentities & relationships
Ontology Layershared meaning across systems
Semantic / Canonical Layerover data, in place
Execution

Business Context Execution Engine

CONTEXT› OBSERVE› REASON› ACT
MEMORY · governed, cited, auto-saved
Agency · governed action
Autonomous Agentshuman on the loop
Briefs, Reports & Answerscited [1] [2]
Tools & SkillsMCP · REST
Any Authorized App / Teamno central copy
in place · in real time
context delivered to data · governed reads return · intent in · governed action out
ZERO CODING

Visual design & orchestration of data for AI.

Connect, govern, and activate enterprise context for AI agents, in both directions, with no pipelines to hand-code. Visual, drag-n-drop design; the engine handles execution, lineage, and control.

What we solve

Four core business problems. DataModal solves them. Achieves business outcomes.

Context without execution is information. Context with execution is advantage.

88%
of AI pilots fail to reach production
60-80%
of enterprise data unlocked
<30d
to AI-ready data products
3x-5x
return on investment
01

Enterprise data is locked away from AI

60-80% of enterprise data never reaches AI systems, trapped across silos, formats, and undocumented sources.

Layer 01 · Enterprise Data Activation Unified discovery, semantic mapping, and automated data product creation make it consumable.

02

Governance and quality break at scale

Manual lineage, inconsistent quality, and after-the-fact compliance make AI outputs impossible to trust or audit.

Layer 02 · Governance, Quality & Assurance Automated lineage, quality enforcement, and continuous monitoring, built in at ingestion.

03

Regulatory obligations are fragmented

EU AI Act, NIST, ISO, and BCBS requirements are tracked in disconnected tools, leaving gaps and duplicated effort.

Layer 03 · Unified Regulatory Control Plane A single control plane turns regulatory obligations into operational defaults.

04

AI never reaches production

88% of pilots stall because consumers can't get context-rich, governed data in the formats they actually use.

Layer 04 · AI-Ready Enterprise Execution Governed data delivered to GenAI, agents, and analytics via MCP, APIs, and real-time interfaces.

ONE EXECUTION LAYER
Four problems · One governed execution layer · Context delivered in place
FEDERATION ENGINE

The federation and synchronization engine between Databricks and Snowflake, or any data source, and across cloud and on-prem.

Integration via DataModal gives you rich data products with governance, lineage, audit, controls, traceability, semantic context, ontology and much more.

Polymorphic data integration

One context layer. Many-to-any. Full control.

One governed context layer in the center; adapters and connectors out to every source, databases, apps, APIs, files, streaming and legacy. Bidirectional, polymorphic, and governed end-to-end. Same data available via multiple adaptors, MCP, REST-API, SQL, Kafka, JMS, SFTP, etc.

Many-to-ManyMany-to-AnyPolymorphicWith Full Control
How it works

Governed AI data products in three automated steps.

01

Automate data product creation

  • Connects without migration or rearchitecture
  • Policy-driven governance at ingestion
  • Reusable data products with embedded context
02

Real-time semantic unification

  • Unified semantic layer via automated entity resolution
  • Real-time sync across batch and streaming
  • Consistent definitions across analytics, ML, and catalogs
03

Accelerate AI and analytics delivery

  • SQL, GraphQL, REST APIs, XML, JSON, Ontology Knowledge Graph, and vector interfaces
  • ML-ready feature pipelines with point-in-time correctness
  • Trusted metadata with bidirectional lineage
Our competitive advantage

Where the category stops, DataModal keeps going.

◦ WHERE THE CATEGORY LIVESWHERE ONLY DATAMODAL CONTINUES ●
STOPS HERE 01DATA02SOURCEMETA DATA03LAKES · MARTSVIRTUAL VIEWS04ENTERPRISEMETADATA05INDUSTRYMODELS06SEMANTICLAYER07ONTOLOGY08KNOWLEDGEGRAPH09GOVERNANCE10CONTROLPLANE11BUSINESSCONTEXT12BI-DIRECTIONALEXECUTION13POLYMORPHIC
Most platforms stop at stage 03. Only DataModal continues through 04 to 13: enterprise metadata, industry models, semantic layer, ontology, knowledge graph, governance, control plane, business context, bi-directional execution and polymorphic. Hover a stage. Click to replay.
Get started

AI without context is risk.
With context is trust.

Join enterprises that have moved beyond AI pilots to production-grade, governed AI execution.

Request a demo Contact us
Products

The Spider-AI Suite.

A unified platform that brings together every component needed to deliver enterprise-ready data for AI. Built to support large enterprises running AI initiatives across multiple business units.

Inside the Suite

One product. The modules that compose it.

You buy the Spider-AI Suite, a single platform. These are the capabilities and modules inside it, working as one governed layer.

Request a demo
Platform architecture

Five layers, one governed platform.

From connectivity to execution, every layer governed, end-to-end.

AI Orchestration & Executiontop
Agents, copilots and workflows, governed execution
↑↓
AI Governance & Security
Policy, access, audit and control for AI
↑↓
Compliance & Regulatory Controls
EU AI Act · NIST · ISO 42001 · BCBS 239
↑↓
Semantic Context Foundation
Ontology, knowledge graph and business context
↑↓
Data Connectivitybase
Any source, any modality, no migration

Ready to see the platform?

Request a personalized walkthrough tailored to your industry and use case.

Request a demoTalk to sales
Solutions

Solutions by industry, department, and use case.

DataModal adapts to the regulatory, operational, and AI challenges of your sector and your teams, not the other way around.

By industry

Enterprise context at the point where it matters.

EHR · imaging · clinical03 / 06

Healthcare

Federated access across clinical systems, no migration, lineage from source to AI.

Raw sourcesGoverned + lineageAI-ready context
  • Federated data access across EHR, imaging, and clinical systems without migration
  • HIPAA-aligned governance and patient data lineage from source to AI consumer
  • Semantic layer enabling interoperability across disparate clinical data sources
HIPAAEHRImagingInterop
By department

Built around how your teams actually work.

Finance & Accounting

Close faster on governed, reconciled numbers.

ReportingReconciliationAudit

Risk & Compliance

AML/KYC and regulatory reporting on lineage-backed data.

AML/KYCBCBS 239Lineage

Data Engineering

Federate Databricks ↔ Snowflake; cut Bronze/Silver & compute.

FederationShred-to-SQLETL/ELT

Customer & Revenue

Customer 360/720 across every system, in real time.

Customer 360ChurnNRR

Operations

Stream composite views to act on live data.

StreamingKafkaOrchestration

Executive & Strategy

Trusted, governed context for AI-driven decisions.

KPIsForecastsGovernance
By use case

Cross-platform patterns, productionized.

See DataModal in your industry.

Get certifiedRequest a demo
Partners

Built to deliver with the ecosystem.

DataModal's partner program supports resellers, global systems integrators, cloud alliances, and OEM relationships. Strategic partnerships accelerate client value and reduce implementation risk.

Partner programs

Four ways to work with DataModal.

Partner program02 / 04

Cloud Partners

Native deployment across the major clouds, with co-engineered solutions and joint go-to-market.

  • Native deployment on AWS, Google Cloud, and Azure
  • Apply existing cloud commitments toward DataModal
  • Joint go-to-market and co-engineered cloud solutions
OEM

Your agents. Our data engine underneath.

OEM partners ship finance, risk and HR agents, with DataModal as the embedded, governed data technology powering them.

Become a DataModal partner.

Contact the partner team
Resources

Insight for enterprise data and AI leaders.

Technical depth, strategic frameworks, and practitioner perspectives on building enterprise AI on a trusted data foundation.

Content library

Research. Learn. Build.

Learn & earn

The DataModal Academy

Go from data fundamentals to deploying the Business Context Execution Engine, eight hands-on lessons, XP, badges, and a clear path to certification.

8Lessons
340XP
4Badges
5Levels
First Steps
Governor
Connector
Architect

Documentation

Setup guides, connector references, governance and MCP, everything to deploy the Business Context Execution Engine.

Read the docs
From the field

The DataModal Blog

Posts from the DataModal team, our humans and our highly-trained AI agents alike.

Governance
Governance that runs at ingestion, not in meetings
Ranga ChandraRanga Chandra · 6 min
AI
The 88% problem: why AI pilots die before production
Tom MendesTom Mendes · 8 min
Lineage
A number with a receipt: lineage for regulated teams
Jojy VargheseJojy Varghese · 5 min
Start learning

Popular lessons

01+30 XP
What is data, really?

Rows, signals, and why raw data is not information.

02+30 XP
Silos: where data goes to hide

Why your data is scattered and what that costs.

03+40 XP
Lineage: the data’s paper trail

Knowing where every number came from.

04+40 XP
Governance: the rules of the road

Who can use what data, and how.

FAQ

Questions, answered.

The essentials on how DataModal works, how it is different, and how to get started. Need more? See customer success & best practices in the docs or talk to us.

What is DataModal?+

DataModal is a Business Context Execution Engine (BCEE): it delivers governed business context to AI and agents, bidirectionally, in real time, without moving or duplicating your data.

How is this different from data virtualization or federated query (e.g. Denodo, Starburst)?+

Federated query gives you read-only views at query time. DataModal persists governed, versioned context and runs both ways, reads and writes, with lineage and a regulatory control plane built in. It is an execution engine, not just a view layer.

Does my data have to move?+

No. Your data stays where it lives. DataModal spins context out to every source and brings governed answers back, platform-to-platform, no migration.

What can it connect to?+

Databases, data lakes, applications, APIs, files/documents, streaming events and IoT, across Databricks, Snowflake, every cloud (AWS · Azure · GCP) and on-premise systems.

How are governance and compliance handled?+

Governance, data quality, and lineage are enforced at ingestion, lineage is the receipt. The Regulatory Control Plane maps to EU AI Act, NIST AI RMF, ISO 42001 and BCBS 239.

How do AI agents consume context?+

Through MCP, REST, and SQL. Agents read and write governed business context bidirectionally, quality, privacy, security, traceability, audit and control in both directions.

Do we need to hand-code pipelines?+

No. Visual, no-code, natural-language design lets business and data teams map and orchestrate data flows and governance, zero coding for bidirectional data for AI.

How fast can we see value?+

A focused 2-3 week proof of concept on your own environment, against live workloads, with measurable results on governance coverage, latency at scale, and source load.

Contact us

Get in touch.

Talk to the DataModal team about deploying the platform, joining the partner program, or exploring career opportunities.

Email us at contact@datamodal.com

Call us at +1 (203) 494-1581

Request a demo

Request a personalized walkthrough of the DataModal platform tailored to your industry and use case. See how DataModal unifies enterprise data and accelerates AI outcomes in your environment. Connect with a solutions architect to map the platform against your specific initiatives.

Request a demo

Product sales

Talk to the DataModal sales team about deploying the platform across your enterprise. Discuss pricing, deployment options, and procurement paths including direct and marketplace options. Engage with enterprise account executives across regulated industries and Fortune 1000 accounts.

Talk to sales

Partners & channels

Connect with the DataModal partner team to explore alliance, reseller, and OEM opportunities. Access partner enablement resources, joint go-to-market support, and dedicated channel management.

Contact partner team

Careers

Explore open roles across engineering, product, sales, and enterprise functions at DataModal. Join a team building the foundation for enterprise AI at scale.

View open roles
About

The intelligence layer for enterprise data and AI.

DataModal transforms fragmented enterprise data into governed, AI-ready context, backed by deep domain expertise across regulated industries.

World-class leadership

120+ years of cumulative experience.

Leadership delivering business and technology solutions across banking, insurance, capital markets and enterprise AI. Globally reputable.

Jojy Mathew

Jojy Mathew

Founder & CEO
  • Retired Data, Analytics and AI leader for Global Financial Services for a premier Big 4 consultancy
  • Trusted advisor to clients in Banking, Insurance, Retirement, Asset Management, Wealth Management & Capital Markets
  • Expert in Data, AI and Agentic solutions for global firms
  • Built AI & Agentic tech stacks on Cloud
  • Wall Street quant with deep domain expertise in Financial Services
Thomas Mazzaferro

Thomas Mazzaferro

Co-Founder & President
  • Pioneer in AI & Agentic business solutions
  • Chief Data, Analytics & AI Officer at JP Morgan Chase, HSBC, Cyera, Truist, Western Union
  • 4x Top 100 Global CDO
  • 2025 Top 100 Chief AI Officer
  • Winner of the 2025 AI Solution of the Year at American Banker
Kirstan Vandersluis

Kirstan Vandersluis

Co-Founder & CTO
  • Former Airforce Officer delivering data solutions at NORAD
  • Co-founder of XAware, delivered for Airforce, EPA and more
  • Enterprise architect with 30+ years in data solutions
  • Pioneer in semantic layers and standards
  • Author of book on XML based integration
  • Expert in Network Node based solutions
Ranga Maramraju

Ranga Maramraju

Co-Founder & Head of Engineering
  • Innovator and pioneer in Data and AI solutions
  • Proven delivery leader at Deloitte, where he delivered data, analytics and AI projects
  • Founder & CTO of Spatial Grid Computing
  • Founder of DataAIDE, filed several US patents on AI
Advisors

Backed by deep domain expertise.

Bill Miller
Bill Miller
  • Founder / Managing Partner, FirstMile Ventures
  • CTO & Co-Founder, Storage Networks
  • CEO, XAware
Peter Serenita
Peter Serenita
  • Chief Data Officer, Scotiabank
  • Global Chief Data Officer, HSBC
  • Chairman, EDM Council
Company

Built for enterprise scale.

Mission
DataModal is the intelligence layer that transforms fragmented enterprise data into governed AI-ready outcomes.
Built for
Organizations that operate at the intersection of scale, complexity, and regulatory rigor. Financial services, healthcare, life sciences, and energy.
Reach
Headquartered to serve enterprise customers globally. 10 design partners across financial services, healthcare, and retail. Available on all major cloud marketplaces.
Learn

Understand data. Level up.

Read the field notes, then play through the Data Academy, bite-size lessons that turn governance, lineage, and AI-ready data into something you actually retain. Earn XP, climb from Rookie to Architect, and collect badges as you go.

Data Academy · Learn & Earn

Eight lessons. One mental model for enterprise data.

No prior background needed. Each lesson is a 2-minute read followed by a single question, answer it and bank the XP. Complete the track to unlock the Data Architect badge.

Lv 1 · Rookie 0 XP
0 / 100 to nextExplorer
0
Lessons
0
Badges
0
Streak
First Steps
Governor
Connector
Data Architect
The track 0 of 8 complete
01

What is data, really?

Rows, signals, and why raw data is not information.
+30 XPStart
02

Silos: where data goes to hide

Why your data is scattered and what that costs.
+30 XPLocked
03

Lineage: the data’s paper trail

Knowing where every number came from.
+40 XPLocked
04

Governance: the rules of the road

Who can use what data, and how.
+40 XPLocked
05

Data products

Treating data like something you ship.
+40 XPLocked
06

AI-ready data

Why most AI pilots stall before production.
+50 XPLocked
07

MCP: how AI talks to your data

The protocol that connects models to context.
+50 XPLocked
08

Putting it together

From scattered silos to a business context engine.
+60 XPLocked
Get certified

DataModal Certification

Validate your skills implementing the Business Context Execution Engine. Earn an industry-recognized credential, a shareable badge, and proof you can take DataModal from connected source to governed, AI-ready data product in production.

Fundamentals Free

DataModal Fundamentals

Entry-level, self-paced. Understand the BCE, core data concepts, and the value of governed context, no experience required.

  • FormatSelf-paced · non-proctored
  • Questions30 multiple choice
  • Time45 minutes
  • ValidityLifetime
Most popular
Associate $200

Implementation Associate

Prove you can implement the BCE: connect sources, govern at ingestion, and ship a documented data product end to end.

  • FormatProctored · online
  • Questions45 multiple choice
  • Time90 minutes
  • Validity2 years
Professional $200

Implementation Professional

Advanced, production-grade implementation: multi-source architecture, MCP at scale, performance, and governance design.

  • FormatProctored · online
  • Questions60 multiple choice
  • Time120 minutes
  • Validity2 years

What the Associate exam covers

Implementation Associate · domain weighting
Connecting & ingesting data sources 26%
Governance & policy at ingestion 24%
Building & publishing data products 22%
Exposing context via MCP 16%
Monitoring, lineage & troubleshooting 12%
01
Learn

Work through the Academy lessons and the implementation guides in the docs.

02
Practice

Run a real end-to-end implementation in a sandbox workspace.

03
Take the exam

Sit the proctored exam online, on your schedule.

04
Get credentialed

Earn a verifiable badge to share on LinkedIn and with clients.

Launched from the field

The DataModal Blog

Field notes on data, governance, lineage and AI, written by the DataModal team: our humans and our highly-trained AI agents. Every thread below is a category; pull one to explore.

Governance

Governance that runs at ingestion, not in meetings

Why the most durable data policies are the ones nobody has to remember to enforce.

Ranga Chandra
Ranga Chandra
Jun 2026 · 6 min read
AI

The 88% problem: why AI pilots die before production

It is almost never the model. A look at the data failures hiding behind stalled AI.

Tom Mendes
Tom Mendes
Jun 2026 · 8 min read
Lineage

A number with a receipt: lineage for regulated teams

How end-to-end lineage turns audit season from a fire drill into a query.

Jojy Varghese
Jojy Varghese
May 2026 · 5 min read
MCP

Giving agents a key, not a copy

What the Model Context Protocol changes about how AI reaches enterprise data.

Ranga Chandra
Ranga Chandra
May 2026 · 7 min read
Data products

Stop excavating data. Start shipping it.

The mindset shift from raw tables in a lake to packaged, owned data products.

Ranga Chandra
Ranga Chandra
Apr 2026 · 6 min read
AI

Context is the moat, not the model

Everyone has the same models. The advantage is the business context you can attach.

Helena Freitas
Helena Freitas
Apr 2026 · 9 min read
🔒

Documentation is for members

Sign in or request access to view setup guides, connector references, governance and MCP docs.

Request access
Documentation

Build on the Business Context Execution Engine.

Practical guides and technical references for connecting your data, enforcing governance, and shipping AI-ready data products with DataModal.

Lesson

Title

Quick check · +30 XP
Question
Level up
Explorer

Title

DatereadHelena Freitas
Author
Helena Freitas
Chief AI Education at DataModal
Leads how teams learn to build on trusted data. Writes about governance, lineage, and making enterprise data ready for AI.
Legal

Privacy Policy

Effective: August 5, 2026  ·  Last updated: August 5, 2026  ·  Contact: contact@datamodal.com

Scope. This Policy covers our marketing site, demo/access requests, and Workspace User accounts on the Business Context Execution Engine platform. It does not govern the Customer business data processed by the Platform — see Section 6 for how that data is handled.

01Introduction

DataModal AI (“DataModal,” “we,” “us,” or “our”) provides the Business Context Execution Engine, an enterprise data governance, data quality, and AI-context platform (the “Platform” or “Services”), together with our marketing website at datamodal.com (the “Site”).

This Privacy Policy explains what personal information we collect, how we use and share it, and the choices and rights available to you. It applies to visitors to our Site, prospective customers who request a demo or access, and individual users of the Platform (“Workspace Users”) acting on behalf of a customer organization (a “Customer”).

If you are a Workspace User, your use of the Platform may also be subject to policies set by your employer, who controls your account and access.

02Who we are

DataModal AI is the provider of the Business Context Execution Engine. For any privacy question, request, or concern, contact us at contact@datamodal.com.

03Information we collect

Information you provide to us

ContextData collected
Request a demoName, work email address
Request accessFull name, work email address, company name
Log in to a WorkspaceWork email address, password (see Section 7 on storage)
Contacting usAny information you include in your message
Workspace administrationEmail, display name, assigned role, and — for SSO organizations — an identifier from your identity provider

Information collected automatically

Our Site uses only the cookies strictly necessary for login and session functionality to work. We do not currently use third-party advertising or analytics cookies. If this changes, we will update this Policy and, where required, request consent via a cookie banner.

Our hosting infrastructure may log standard technical information for security purposes — IP address, browser type, device type, referring pages, and request timestamps.

Information generated through use of the Platform

  • Audit trail records — operational events recorded for governance and compliance, retained for a configurable period (90 days by default).
  • AI Assistant conversations — prompts and responses, stored as part of your session history when this feature is enabled.
  • Authentication records — login timestamps, session activity, and role assignments.

04How we use it

  • Provide, operate, and maintain the Site and the Platform
  • Create and manage Workspace User accounts and authenticate access
  • Respond to demo requests, access requests, and support inquiries
  • Communicate with you about your account or our Services
  • Maintain audit, security, and compliance records required for enterprise governance features
  • Detect and prevent fraud, abuse, or security incidents
  • Comply with legal obligations

05AI features & providers

The Platform includes an optional AI Assistant and AI-assisted mapping features. When a Workspace User submits a prompt, that content is transmitted to a third-party AI model provider for processing — depending on your organization’s configuration, this may be Anthropic (Claude models), Amazon Web Services (Amazon Bedrock), OpenAI, or Microsoft Azure OpenAI.

These providers process submitted content solely to generate a response, under their own data handling terms and any contractual commitments in place with DataModal and/or your organization. We recommend avoiding sensitive personal information in AI Assistant prompts unless your organization’s policies permit it.

06Customer data

The Platform is designed to be deployed within a Customer’s own environment — on-premises or within the Customer’s private cloud — one deployment per Customer organization.

  • Customer data stays at the source. The Platform connects directly to a Customer’s own databases, warehouses, SaaS applications, and file/streaming systems using Customer-supplied credentials. Data is not copied to or centralized on servers operated by DataModal as a standard part of operation.
  • Credentials are not stored in plain text. Connection credentials are stored as references to a secrets manager, vault, or environment-based store rather than as plain text.
  • Metadata, not bulk copies. Governance features (cataloging, lineage, data quality, ontology, knowledge graph) generally operate on metadata describing Customer Data’s structure and quality, consistent with the Platform’s “data stays in place” design.
Any personal information contained within Customer Data is processed by DataModal solely as a service provider on behalf of the Customer (the data controller), under the applicable agreement with that Customer. Individuals whose information may appear in Customer Data should direct requests to that Customer organization.

07Security

We use technical and organizational measures designed to protect information, including:

  • Password hashing — passwords are never stored in plain text
  • Token-based authentication for Platform access
  • Role-based access control for Workspace Users
  • Encrypted, vault-backed storage for connection credentials
  • HTTPS/TLS for data in transit
  • Audit logging of security-relevant operations

No method of transmission or storage is 100% secure, and we cannot guarantee absolute security.

08Retention

  • Demo / access requests — retained as long as reasonably necessary to respond, unless you ask us to delete it sooner.
  • Workspace account data — retained while your account is active, and briefly afterward per your organization’s agreement with us or applicable law.
  • Audit trail data — retained per your organization’s configured period (90 days by default), unless a longer period is legally required.

09Your rights

Depending on your location, you may have rights to access, correct, or delete your information; object to or restrict certain processing; request a portable copy; or withdraw consent where processing relies on it.

To exercise these rights, contact contact@datamodal.com. If your data was submitted by your employer as part of a Workspace account, we may direct your request to that organization, which controls the account.

Residents of the EEA, UK, Switzerland, California, and other jurisdictions with comprehensive privacy laws may have additional rights (e.g., GDPR, UK GDPR, CCPA/CPRA). We do not sell personal information and do not use it for cross-context behavioral advertising.

10International transfers

If we transfer personal information across borders, we take steps to ensure appropriate safeguards are in place consistent with applicable law — for example, standard contractual clauses for transfers from the European Economic Area or United Kingdom.

11Children’s privacy

Our Site and Platform are intended for business use by adults and are not directed to children. We do not knowingly collect personal information from children under 16.

12Changes to this policy

We may update this Privacy Policy from time to time. Material changes will be reflected in an updated “Last updated” date above and, where appropriate, additional notice.

13Contact us

DataModal AI
Email: contact@datamodal.com

Legal

Terms of Service and Conditions

Effective: August 5, 2026  ·  Last updated: August 5, 2026  ·  Contact: contact@datamodal.com

Scope. These Terms govern access to and use of our marketing site, demo/access requests, and Workspace User accounts on the Business Context Execution Engine platform. If your organization has a signed order form or master subscription agreement with DataModal, that agreement controls to the extent it conflicts with these Terms — see Section 4.

01Acceptance of these Terms

These Terms of Service and Conditions (“Terms”) form an agreement between DataModal AI (“DataModal,” “we,” “us,” or “our”) and you, governing your access to and use of our marketing website at datamodal.com (the “Site”) and the Business Context Execution Engine platform (the “Platform” or “Services”).

By visiting the Site, requesting a demo or access, or logging in to a Workspace, you agree to be bound by these Terms. If you are accepting on behalf of an organization (a “Customer”), you represent that you have authority to bind that organization, and “you” refers to both you and the Customer.

If you do not agree to these Terms, do not use the Site or the Services.

02Definitions

TermMeaning
CustomerThe organization that has requested access to, or subscribes to, the Platform.
Workspace UserAn individual authorized by a Customer to access that Customer’s Workspace on the Platform.
WorkspaceThe logical deployment and configuration of the Platform provisioned for a single Customer.
Customer DataData from a Customer’s own systems that the Platform connects to, profiles, catalogs, or otherwise processes on the Customer’s behalf.
Order FormA signed ordering document, quote, or master subscription agreement referencing these Terms.

03The Services

The Platform is a data governance, data quality, and AI-context engine that connects to a Customer’s own data sources — databases, warehouses, SaaS applications, and file or streaming systems — to provide cataloging, profiling, data quality, lineage, semantic modeling, knowledge graph, and AI-assisted mapping capabilities, together with an optional AI Assistant.

We may add, change, or discontinue features of the Services from time to time. We will provide reasonable notice before discontinuing a feature that a Customer actively relies on under an active Order Form.

04Order forms & agreements

These Terms apply by default to all use of the Site and Platform. Where a Customer has a separately negotiated Order Form or master subscription agreement with DataModal, that document governs the commercial relationship, and its terms control over these Terms in the event of a direct conflict. Everything not addressed there is governed by these Terms.

A demo, trial, or evaluation Workspace provided before any Order Form is signed is governed solely by these Terms and may be limited in scope, data volume, or duration at our discretion.

05Accounts & eligibility

You must be at least 18 years old and able to form a binding contract to use the Services. Workspace Users act on behalf of, and are provisioned by, a Customer; the Customer is responsible for its Workspace Users’ compliance with these Terms and for all activity under its Workspace.

  • Keep login credentials confidential and notify us promptly of any suspected unauthorized access.
  • Provide accurate information when requesting a demo, requesting access, or administering a Workspace.
  • Your organization is responsible for assigning and reviewing the roles and permissions of its own Workspace Users.

06Subscriptions & fees

Paid access to the Platform is governed by the fees, billing frequency, and payment terms set out in the applicable Order Form. Unless the Order Form states otherwise:

  • Fees are invoiced in advance and are non-refundable except as expressly stated.
  • Late payments may result in suspension of Workspace access after reasonable notice.
  • Fees are exclusive of taxes, which are the Customer’s responsibility unless we are required to collect them.

07Customer Data

As between DataModal and the Customer, the Customer retains all right, title, and interest in and to its Customer Data. DataModal is granted only the rights necessary to provide the Services.

  • Data stays at the source. The Platform connects directly to a Customer’s own databases, warehouses, SaaS applications, and file/streaming systems using Customer-supplied credentials. Customer Data is not copied to or centralized on servers operated by DataModal as a standard part of operation.
  • Credentials are not stored in plain text. Connection credentials are stored as references to a secrets manager, vault, or environment-based store rather than as plain text.
  • Metadata, not bulk copies. Governance features (cataloging, lineage, data quality, ontology, knowledge graph) generally operate on metadata describing Customer Data’s structure and quality, consistent with the Platform’s “data stays in place” design.
  • Use limited to the Services. We will not use Customer Data to train general-purpose models or for any purpose other than providing, securing, and supporting the Services to that Customer, except with the Customer’s written permission.

Any personal information contained within Customer Data is processed by DataModal solely as a service provider on behalf of the Customer, under the applicable Order Form and, where required, a data processing agreement. The Customer is responsible for having a lawful basis to provide such data to the Platform.

08AI features & providers

The Platform includes an optional AI Assistant and AI-assisted mapping features. When a Workspace User submits a prompt or triggers an AI-assisted action, the relevant content is transmitted to a third-party AI model provider for processing — depending on the Customer’s configuration, this may be Anthropic (Claude models), Amazon Web Services (Amazon Bedrock), OpenAI, or Microsoft Azure OpenAI.

These providers process submitted content solely to generate a response, under their own terms and any contractual commitments in place with DataModal and/or the Customer. AI-generated output may be inaccurate or incomplete; Workspace Users are responsible for reviewing AI-generated suggestions before relying on them for governance, quality, or compliance decisions.

09Acceptable use

You agree not to:

  • Use the Services to violate any applicable law, or to process data you are not authorized to process;
  • Attempt to bypass access controls, rate limits, or security measures, or probe, scan, or test the Platform’s vulnerability without our prior written consent;
  • Reverse engineer, decompile, or attempt to extract the source code of the Platform, except to the extent applicable law permits despite this restriction;
  • Resell, sublicense, or provide the Services to a third party outside your own organization without our prior written consent;
  • Upload or connect data sources containing malware, or interfere with the integrity or availability of the Platform or its infrastructure;
  • Use the Services to build a directly competing product.

10Intellectual property

DataModal and its licensors retain all right, title, and interest in and to the Platform, the Site, and all underlying software, models, designs, and documentation, including any improvements or feedback incorporated into them. These Terms grant no ownership rights in the Services.

Subject to these Terms and the applicable Order Form, we grant the Customer a limited, non-exclusive, non-transferable right to access and use the Platform during the applicable subscription term, solely for the Customer’s internal business purposes.

11Confidentiality

Each party may receive non-public information from the other (“Confidential Information”), including Customer Data, Workspace configuration, and pricing terms. Each party will use the other’s Confidential Information only to perform its obligations under these Terms, protect it with the same degree of care it uses for its own similarly sensitive information (and no less than reasonable care), and not disclose it except to personnel and subprocessors who need it and are bound by similar obligations.

This obligation does not apply to information that is or becomes public through no fault of the receiving party, was already lawfully known to it, or is required to be disclosed by law, provided reasonable notice is given where legally permitted.

12Warranties & disclaimers

We will provide the Services with reasonable skill and care and in substantial conformity with any documentation made available to the Customer. Except as expressly stated in these Terms or an applicable Order Form:

The Services and Site are provided “as is” and “as available.” To the fullest extent permitted by law, DataModal disclaims all other warranties, whether express, implied, or statutory, including merchantability, fitness for a particular purpose, non-infringement, and any warranty arising from course of dealing or usage of trade. We do not warrant that the Services will be uninterrupted, error-free, or that all data quality or AI-generated output will be accurate.

13Limitation of liability

To the fullest extent permitted by law, neither party will be liable for any indirect, incidental, special, consequential, or punitive damages, or any loss of profits, revenue, data, or goodwill, arising out of or related to these Terms or the Services, even if advised of the possibility of such damages.

Each party’s total liability arising out of or related to these Terms will not exceed the fees paid or payable by the Customer to DataModal in the twelve (12) months preceding the event giving rise to the claim.

These limitations do not apply to a party’s breach of its confidentiality obligations, a party’s indemnification obligations, or liability that cannot be limited under applicable law.

14Indemnification

DataModal will defend the Customer against a third-party claim alleging that the Platform, as provided by us and used in accordance with these Terms, infringes that third party’s intellectual property rights, and will indemnify the Customer against damages finally awarded, subject to prompt notice and our control of the defense.

The Customer will defend and indemnify DataModal against third-party claims arising from the Customer’s Data, the Customer’s breach of the Acceptable Use provisions in Section 9, or the Customer’s violation of applicable law in its use of the Services.

15Term & termination

These Terms remain in effect for as long as you use the Site or the Services. A Customer’s subscription term is set out in its Order Form and renews as specified there.

  • Either party may terminate for the other’s uncured material breach after 30 days’ written notice.
  • We may suspend or terminate access to protect the security or integrity of the Platform, or where required by law, with notice where reasonably practicable.
  • On termination, Workspace User access ends; we will make Customer Data exports available for a reasonable period as described in the applicable Order Form, after which it may be deleted.

16Governing law & disputes

These Terms are governed by the laws of the jurisdiction specified in the applicable Order Form, without regard to conflict-of-laws principles. Where no Order Form applies, these Terms are governed by the laws of the State of Delaware, USA. The parties consent to the exclusive jurisdiction of the courts located there for any dispute not otherwise resolved by good-faith negotiation.

17Changes to these Terms

We may update these Terms from time to time. Material changes will be reflected in an updated “Last updated” date above and, where appropriate, additional notice to active Customers. Continued use of the Site or Services after a change takes effect constitutes acceptance of the revised Terms. Changes will not be applied retroactively to reduce a Customer’s rights under an active Order Form without that Customer’s consent.

18General provisions

  • Entire agreement. These Terms, together with any applicable Order Form, constitute the entire agreement between the parties regarding the Services and supersede prior discussions on the same subject.
  • Assignment. Neither party may assign these Terms without the other’s consent, except to a successor in a merger, acquisition, or sale of substantially all assets.
  • Severability. If any provision is held unenforceable, the remaining provisions continue in full force.
  • No waiver. Failure to enforce a provision is not a waiver of the right to enforce it later.
  • Force majeure. Neither party is liable for delay or failure caused by events beyond its reasonable control.

19Contact us

DataModal AI
Email: contact@datamodal.com