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Overview

A live context layer, compiled from your code, that checks every AI answer and every change before it ships.

News

News typedef.ai 3 months ago
The model is swappable, the ontology compounds
Databricks Genie Ontology shows why the model is swappable but governed context compounds. Why the enterprise context layer should be neutral not a vendor moat.
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News typedef.ai 5 months ago
From Benchmarketing to Benchmaxxing: What 40 Years of Database Evals Can Teach Data Leaders about AI
AI benchmarks repeat 40 years of database benchmarketing mistakes. Learn why standard evals fall short and how to build your own.
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News typedef.ai 11 months ago
The Learning-Curve Moat in Data Systems
Fenic, an LLM-native DataFrame, uses MCP-Docs: code-native docs + scan/search/read tools so models browse the API with no fine-tuning or embeddings.
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News SiliconANGLE 1 year ago
Startup Typedef gets $5.5M seed funding to build customized data pipelines for AI model workloads
Startup Typedef gets $5.5M seed funding to build customized data pipelines for AI model workloads - SiliconANGLE
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