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ContextBase or a model on its own

Point a frontier model at your schema and it will write well-formed SQL. What it cannot know is what only your estate knows. That is the part ContextBase adds.

A model on its own

The schema. Not what the estate knows.

ContextBase

Every system, read in place, with knowledge your team approves.

Side by side

A model on its ownWith ContextBase
What a metric meansA model on its ownIn the prompt, if someone wrote itContextBaseApproved once, versioned in the knowledge graph
Who sees whatA model on its ownWhatever the service account can seeContextBaseEach person’s own grants, carried through
Keeping it runningA model on its ownYour team builds and maintains itContextBaseBuilt and run by Flume, HITRUST i1 and SOC 2 Type 2
Before anyone actsA model on its ownThe SQL it ranContextBaseIts queries, its rows, and checks that say where it is weak

Three reasons teams add ContextBase

  • A knowledge problem, not a model problem

    A model writes good SQL from your schema. What it cannot know is what your team knows about the data, and that is where answers go wrong.

    Key benefitModels converge. Knowledge of your estate does not.
  • Knowledge that carries forward

    When your team approves a finding, it attaches to its table. Every later answer that reads the table starts from it.

    Key benefitThe next answer starts where the last one ended.
  • Not another thing to maintain

    Definitions, checks, access, and the audit trail come built in. Your team spends its time on answers, not on the plumbing.

    Key benefitKeep the model you like, over MCP.

Text-to-SQL is close to solved for clean schemas. Healthcare estates are not clean: flags are nullable, views miss part of the roster, and paid amounts are derived downstream. None of that is in the schema. ContextBase is where it gets written down and approved, so whichever model you use answers from it.

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Bring one question your team cannot answer today. We connect one system and show you the answer and the work behind it.