Why reliable AI on enterprise data is so hard

Why reliable AI on enterprise data is so hard

The "talk to your data" promise is oversold. Most AI tools lack the business context and deep analytical reasoning to deliver trusted answers to real-world business questions.

Today's AI can't answer this

"Which of our top customers downgraded last quarter due to fulfillment delays, mentioned shipping frustrations in their tickets, and might be open to reactivation this quarter?"

Your semantic layer is not built for the AI era

AI Era

Current semantic layer approaches behave more like static metadata catalogs – not dynamic business context engines.

The Problems

Slow to set-up

Painful to maintain

Misses real business context

Your data and business change constantly. Your AI needs a living semantic layer that evolves with them. PromptQL does just that.

Agentic Semantic Layer – Foundation for Accurate AI

PromptQL is an AI platform that continuously adapts LLMs to your domain by encoding the proprietary know-how into a planning language the LLM can understand and generate. Its unique agentic semantic layer captures how your business thinks – across systems, logic, and evolving definitions – turning tribal knowledge into a living, operational intelligence layer.

Version-controlled like code

Version-controlled like code

Bootstraps itself and adapts with changing data

Bootstraps itself and adapts with changing data

Auditable and rollback-ready

Auditable and rollback-ready

Continuously learns  and improves with use

Continuously learns and improves with use

Proven impact

More than the semantic layer

More than just SQL

Snowflake, APIs, SaaS tools, even unstructured sources

Operates like an analyst

Self-corrects, retries, and adapts to edge cases

Handles both analytical and semantic tasks

From metrics to sentiment, reviews, and root-cause

Explains itself clearly

Builds transparency and trust with plain-language reasoning

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