Data Platforms
One governed layer for every source, kept in sync automatically — so your teams work from a single, trusted version of the truth.
What it does
Every source, one intake
Databases, SaaS tools, spreadsheets, APIs, and real-time event streams connect through a single governed intake layer — no more one-off pipelines built by whoever was free that week. Built on real-time change-data-capture, new data is picked up the moment it changes, not on tomorrow's batch job.
Rules, lineage, access
Consistent schemas, ownership, and permissions applied automatically, with full lineage from source to report. On top, we build a business ontology — a shared, living definition of what terms like "active customer" or "at-risk account" actually mean — so people, dashboards, and AI agents are never interpreting the same word differently.
Always current
Changes propagate automatically across every downstream system — dashboards, warehouses, and the agents making decisions on your behalf — so nobody, human or AI, is ever working from a stale export.
Why teams move to a unified platform
One source of truth
No more reconciling three spreadsheets that all disagree with each other — or three teams each convinced their number is the "real" one.
Faster time-to-insight
New data sources plug into the same governed layer instead of triggering a new custom pipeline, cutting weeks of integration work down to days.
Lower engineering load
Automated sync, schema management, and self-healing pipelines free your engineers from firefighting broken jobs at 2am — so they build products instead of babysitting infrastructure.
Audit-ready by default
Built-in lineage and access controls mean compliance reviews stop being a fire drill — every number is traceable back to its exact source, automatically.
Ontology-grounded, not guesswork
A shared business ontology means every dashboard, report, and AI agent reasons from the same definitions, the same KPIs, and the same rules — so answers stay consistent no matter who, or what, is asking.
Ready for agents, not just reports
Because access is governed down to the row and the tool call, you can safely connect AI agents to live data via MCP (Model Context Protocol) — the emerging standard for how AI systems securely reach real business data — without opening a security hole to do it.
Where a unified platform pays off fastest
Consolidating ERP, CRM & spreadsheets
Bring finance, sales, and ops systems into one governed model without ripping anything out — so the CFO, the sales team, and ops finally look at the same numbers in the same meeting.
Real-time inventory & ops sync
Keep warehouse, supplier, and storefront systems in lockstep as stock moves — catch a stockout before a customer does, not after.
Regulatory-ready data lineage
Trace any number back to its exact source instantly for audits, SOC 2, or GDPR data-subject requests — what used to take a week of digging now takes minutes.
M&A & post-merger integration
Merge two companies' data estates into one governed model in weeks, not years — so leadership gets a combined view of the business before the ink is even dry.
A safe front door for AI agents
Instead of every AI tool touching your raw databases directly, agents connect through governed MCP endpoints — the same access rules, the same audit trail, whether a person or an agent is asking the question.
A living business ontology
Rather than a glossary nobody updates, your ontology keeps itself current — continuously learning from how data is actually used, so "this quarter's revenue" means the same thing to a new hire, a board report, and an AI agent six months from now.
See it running on your data
A short call is enough to map your sources to a unified plan.