Eliminate the AI-Pilot-to-Production Gap
LazyFox gives AI a shared understanding of your business.
Works with your existing stack. Live in days. No migration required.
LazyFox Enterprise AI Adoption Platform
The Payoff
Governs what every metric means across your stack, so every AI tool, agent, and report returns the same governed answer: deterministic, versioned, role-aware, with an audit trail your CFO signs and your regulator accepts.
Learn about trusted answers →Every resolved conflict and approved definition becomes governed precedent: a knowledge graph of what your business means that compounds inside your company, not inside your model vendor.
Learn about staying vendor-agnostic →Connects read-only to your existing systems and builds a governed semantic layer from what's already there.
Learn about the data catalog →Monitors every connected source for conflicts and drift before your AI inherits them, versioning every approved definition automatically.
Learn about the data catalog →Enables your domain experts in natural language, eliminating the IT-Business coordination bottleneck on every update.
Learn about natural language analytics →Governs the context layer beneath Claude, Gemini, Glean, Slack AI, making each one more accurate without a new interface or rollout.
Learn about integrations →Definitions are built once at setup; every governed query then runs directly from code with zero per-query model calls. Routine token spend drops 60-80%, so the layer funds itself.
Learn how to cut your token bill →Nadella's Reverse Information Paradox says buyers now pay twice: once in cash, once in the knowledge they reveal to make a model useful. Here is where that trust boundary lives in your stack.
Read → ResearchMongoDB moved native search and vector search out of Atlas and into the free Community Edition. Here’s what that changes, and what it still leaves ungoverned.
Read → ResearchClaude Tag turns AI into a shared team member. Genuinely useful. Also the most elegant lock-in architecture enterprise software has produced in years.
Read →LazyFox is an enterprise AI adoption platform that reconciles what data means across every system a business runs, so AI tools return the same, correct answer every time. It sits read-only on top of the stack a company already has (Databricks, Salesforce, SAP, Snowflake, MongoDB, and more), rather than requiring a migration to a new platform.
Enterprises use LazyFox to remove three barriers to reliable AI: reaching data that's locked away, resolving conflicting metric definitions, and producing answers that can be explained and audited. It goes live in days, with no data shared with the underlying AI models.