Request Access
Enterprise AI data middleware

Give your AI agents governed access to real enterprise data

Strattum connects AI agents to internal data sources through MCP connectors, with a policy layer and full audit trail on every context request.

AI Agent LLM Workflow AI Agent RAG Pipeline AI Agent Agentic Workflow STRATTUM Policy Layer + Audit Store Connector SAP / Workday Connector Salesforce / SQL Connector Snowflake / REST Connector ServiceNow / API Audit log: agent ID, scope, policy matched, timestamp every request recorded
Design partners in financial services and healthcare
New York, NY
Founded 2025, shipping since Q4

Every time your AI agent queries internal data, it is a governance gap.

Regulated enterprises face three specific problems when connecting AI agents to internal systems.

No record of what the agent read

When an AI agent pulls context from your CRM or ERP, there is no log of what data was accessed, by which agent, at what time. Your compliance team cannot answer basic audit questions.

No policy controlling what it can access

There is no layer between the agent and your data sources that enforces which fields, tables, or records a specific agent is permitted to query. Agents can ask for anything.

Custom connectors break constantly

Hand-rolled integrations to SAP, Salesforce, and internal APIs snap whenever source schemas change. Engineering time consumed in maintenance, not in building the AI workflows that matter.

How it works

One middleware layer, three outcomes

STEP 01 Connect Sources MCP connectors STEP 02 Define Policies Per agent identity STEP 03 Agents Query, Logged Full audit record
01

Connect enterprise data sources

Drop in standardized MCP connectors for SAP, Salesforce, PostgreSQL, Workday, Snowflake, ServiceNow, and custom REST APIs. No hand-rolled integration code required.

02

Define access policies per agent

Bind each AI agent to a declared scope: which data sources it can reach, which fields or record categories, under what conditions. Policies are version-controlled and auditable.

03

Agents query; every request is logged

When an agent requests context, Strattum enforces the policy and writes a complete audit record: requester identity, query scope, matched rule, timestamp, and response summary.

Connector catalog

Connectors for the systems your data actually lives in

SAP ERP, finance, supply chain records Available
Salesforce CRM, opportunity, account data Available
PostgreSQL Relational database tables and views Available
Workday HR, workforce, compensation data Available
Snowflake Data warehouse and analytics tables Coming Soon
ServiceNow ITSM, incident, and change records Coming Soon
Microsoft SQL Server Enterprise relational data and stored procs Coming Soon
Custom REST Internal APIs via OpenAPI schema declaration Available
See full connector catalog
Early design partners

What early design partners say

The audit trail quality was what sold us. Before Strattum we could not answer a basic compliance question: which records did the agent actually pull during that investigation run. Now every context query has a full record. It saved our data team weeks of forensic work on our first internal review.

Head of Data Engineering Regulated insurance platform, early access program

Our compliance reporting required a clear answer to 'what data did this AI workflow touch and under what authorization.' Strattum gave us the access policy structure to answer that. The per-agent scope declarations map directly to the evidence our auditors want to see.

VP of AI Mid-market financial services firm, design partner program
Get started

Start building with governed data context

Connect your first enterprise data source in under an hour. Audit trail included from day one.

Starter Free
Team $299/mo
Enterprise Contact us