Make your data truly legible to AI.
AI models and agents fail because they don't know what your data means, how it's used, or what to trust. Big Context turns your nuanced data knowledge — buried in people, systems, documents across your company — into a living graph any AI can read.
Your data stack was built for a world without AI. It makes sense that legacy frameworks, like semantic layers, catalogs, ontologies, & knowledge graphs, are proven to be insufficient for AI-scale data work. Big Context is built on the back of the Pragmatic Layer and captures how your data is actually used in the real world.
The Open Pragmatics Standard — the semantic vocabulary for enterprise AI.
OPS defines the full taxonomy of business context that AI needs to reason correctly over enterprise data. It's open, extensible, and vendor-neutral.
A semantic layer is a static record of what data means. A pragmatic graph is a living record of how it’s actually used in your business — it’s situational awareness as a foundation. It’s an AI-native representation of your company’s live model of meaning.
Legacy records promised to stay current, but couldn’t. Ad hoc queries were rarely reusable. Big Context agents watch how data is used, capture new caveats as they emerge, catch drift the moment a metric changes, and build your latent business context like a veteran on your team.
No new tools to adopt, nothing to migrate, completely yours to do as you wish. Context is delivered into the tools you already run through open protocols like MCP. The OS meets your stack where it is and disappears into it.
A wrong number that looks right is worse than no number — and 90% accurate, while a breakthrough in AI is catastrophic here. Before any answer or context leaves the OS, it’s validated against evals, tests, and ground truth, traceable to its source, with low-confidence cases escalated to a human rather than guessed.
Governance to your enterprise’s standards — access, policy, PII handling, full audit trail — so every answer is permissioned and traceable. All backstopped by Experts-in-the-Loop. Comprehensive intervention frameworks so that the system follows the rules and your (or our) best data people can intervene at scale. Expert judgment becomes a permanent asset instead of walking out the door.
BCOS connects to your data sources — warehouses, CRMs, productivity tools, knowledge bases — without requiring a migration. Your current investments stay intact.
The Open Pragmatics Standard captures the full semantic fabric of your business: metrics, entities, policies, decisions, and the tribal knowledge that never made it into a schema.
Every query an AI agent sends to your data gets answered with fresh, business-aware context from BCOS. No guessing. No stale snapshots.
BCOS ships context that AI can actually use — not approximations, not hallucinations.