YOUR DATAYOUR MODELSYOUR ADVANTAGE
Production AI built around your data sovereignty.
DataS AI designs and deploys governed AI systems that connect your business data, tools, and workflows, while you retain control of access, models, policies, and outcomes.
Explore the DataS FrameworkControl, Evidence, Action
Control
Your data and access policies remain yours. You decide which people, models, and agents can reach what.
Evidence
AI outputs trace back to approved sources and rules, so every answer and action can be checked.
Action
Agents move work forward through permissioned, human-approved workflows in the tools you already use.
How it fits together
From fragmented data to decisions and action
Your operational data lives in a dozen systems and spreadsheets. We put a governed layer in between: one that knows who may see what, cites its sources, and asks before it acts.
| Your systems |
|---|
| ERP / accounting |
| CRM |
| Files and spreadsheets |
| Tickets and support |
| Warehouse / databases |
| Governed AI layer |
|---|
| Permissions |
| Retrieval and context |
| Model routing |
| Audit log |
| Human approval |
| Decisions and actions |
|---|
| Exceptions found |
| Changes explained |
| Approved work moved |
What DataS builds
Sovereign AI systems, not AI demos.
Every build connects to real systems, respects real permissions, and ships with the evidence and approvals it needs to run in production.
Private AI data workspaces
Structured context over your warehouse, databases, and files, scoped to the people who are allowed to see it.
See the solutionSource-grounded knowledge and support agents
Policy-aware answers for employees and customers, with citations back to the approved document or record.
See the solutionOperations and exception-intelligence agents
Detect what broke, explain the likely cause, assemble the evidence, and route it to the accountable owner.
See the solutionRevenue, customer, and finance intelligence workflows
Reconcile, forecast, and explain what changed across CRM, billing, product, and support data.
See the solutionAI governance, evaluation, and model-routing foundations
Evals, observability, audit logs, and policy-based routing across providers and self-hosted models.
See the solutionIntegrations across your stack
SaaS, cloud, databases, ERP, CRM, support, and internal systems, connected through APIs, exports, warehouses, and custom connectors.
See the solution
Works with your stack
Integrates with common enterprise and SaaS systems.
- Data sources
- Excel / CSVGoogle SheetsSQL databasesSnowflakeBigQueryDatabricksS3
- Business platforms
- SalesforceHubSpotQuickBooksNetSuiteShopifyStripeZendeskIntercom
- ERP and operations
- SAPOracleMicrosoft DynamicsWorkdayServiceNowJira
- Cloud and engineering
- AWSAzureGCPPostgresREST / GraphQL APIsGitHubDocker
- AI layer
- OpenAIAnthropicGoogleOpen-weight modelsSelf-hosted modelsModel gateways
- Delivery
- SlackMicrosoft TeamsEmailDashboardsWeb appsAPIsApproval workflows
We connect through APIs, exports, warehouses, and custom connectors. Systems listed are examples of the categories we work across, not claims of native integrations or partnerships.
Flagship use cases
Three workflows we build again and again.
Operations Exception Intelligence
Detect exceptions across orders, inventory, invoices, and tickets; explain the likely drivers; route the fix to the accountable owner.
CRMERP / accountingWarehouse or WMSSpreadsheetsRead the use caseRevenue and Customer Intelligence
Identify churn and expansion risk, explain pipeline movement, and prepare the next customer-success or sales action with the evidence attached.
Salesforce / HubSpotStripeProduct analyticsSupport deskSee the solutionInternal Knowledge and Workflow Agent
Answer source-grounded questions, summarize work, draft tasks, route approvals, and keep an auditable history.
Google Drive / SharePointNotion / ConfluenceSlack / TeamsJira / ServiceNowSee the solution
Why DataS AI
Built by the person who ships it.
Senior architecture
Designed and led by the same senior engineer who ships it.
Hands-on delivery
We write the integrations, evals, and approval flows ourselves.
Fixed scope
A named outcome and a named metric before we start.
Who you work with
A Forward-Deployed AI Engineer and Fractional CTO.
Deep enterprise architecture experience, from strategy to deployed systems.
Enterprise systems experience
Put AI to work without giving up control.
A fixed-scope Opportunity Sprint: your system map, three prioritized use cases, and a pilot plan in two weeks.