Big Context & Company
Big Context & Company provides full-stack AI transformation for enterprise data functions through its Pragmatics Operating System (Pragmatics OS). The platform captures how data is actually used across workflows—rather than relying on static semantic definitions—to make corporate data stacks legible to AI. It is built on an open, vendor-neutral standard and includes an evaluation harness for testing AI readiness.
- Artificial Intelligence
- Enterprise Software
- AI Agents
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Traditional enterprise data stacks, built on semantic layers, catalogs, ontologies, and knowledge graphs, were designed before the AI era and fail to provide the contextual awareness required for AI-scale data work. These legacy frameworks capture limited, hand-crafted, and often stale snapshots of meaning, which are insufficient for production AI systems that demand massively more situational awareness.
Solution
Big Context delivers full-stack AI transformation for the corporate data function through its Pragmatics Operating System (Pragmatics OS). Built according to the Pragmatics Standard, this system captures what data means in actual use, creating a dynamic, self-maintaining system of record that mirrors the contextual judgment of expert data practitioners. The platform renders data legible to AI by continuously tracking how data is used across workflows, rather than relying on static definitions. Designed to be vendor-neutral, the architecture supports existing data stacks and is optimized for expert-level reliability in enterprise AI production environments. The OS includes expert-grade governance, validation against ground truth, and workflow-native integration through open protocols like MCP.
Target Audience
Enterprise data functions and data practitioners seeking to make their corporate data stacks AI-ready, including data engineering, data governance, and analytics teams working with complex production data environments.
Features
- Pragmatics OS, a state-of-the-art operating system for making data legible to AI, built on the Pragmatics Standard
- Open specification that is implementation-agnostic, preventing vendor lock-in for data agents
- Reference architecture that is agnostic to models and systems of record, building on existing stacks
- Evaluation harness with executable tests run against a customer's own deployment across the context lifecycle
- Behavioral specification providing a normative standard for system behavior under common conditions
- Conformance suites offering measurement axes and sufficiency benchmarks for AI readiness
- Expert ecosystem with community practitioners contributing to governance and sample bodies of work
- Expert-grade governance out of the box, including access control, PII handling, and full audit trails with Experts-in-the-Loop intervention frameworks
- Validation of answers against evals, tests, and ground truth, with low-confidence cases escalated to humans
- Workflow-native delivery into existing tools via open protocols like MCP, with no migration required
- Always-on data workforce agents that watch data usage, capture new caveats, and catch metric drift as it emerges