Executives couldn't query a maze of 4,000+ messy data tables. Now, a chat agent finds the right data and answers questions in plain English.
An AI-native business automation company was tasked by a major logistics client to build a tool for querying a data landscape of over 4,000 poorly labeled tables across multiple systems.
The client's executives needed a tool to answer ad-hoc questions in plain English, but standard text-to-SQL solutions were insufficient. They...
“With Letta I could just prototype much faster. I was able to see the product working right away.”
Agentic AI platform for deterministic business process automation using plain English.
Open-source framework for building stateful LLM agents with persistent memory, formerly known as MemGPT.
Kognitos's Business analytics chat is part of this use case:
Related implementations across industries and use cases
50 years of logistics wisdom sat locked in founders' heads. Devs now query that expertise via AI to build automated cost-saving tools.
Ops manually chased drivers via chaotic calls. An AI voice agent now automates outreach, updating a dozen orders in a single interaction.
Analysts spent days building reports from slow, siloed tools. Now, they ask a question and an AI agent instantly generates an accurate chart.
Analysts spent 5 days coding reports. Now, business users query millions of records in plain English for instant results.
Simple questions demanded 45 minutes of SQL. An AI assistant now answers 70% of internal analytics, freeing the team from routine queries.
Manual checks of varied supplier documents bottlenecked financial close. Now, AI matches contracts, routing discrepancies to specialists.
Time zones bottlenecked competitive intel for global sales. Now, an AI Slack agent delivers vetted talking points and charts on demand.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
Executives couldn't query a maze of 4,000+ messy data tables. Now, a chat agent finds the right data and answers questions in plain English.
An AI-native business automation company was tasked by a major logistics client to build a tool for querying a data landscape of over 4,000 poorly labeled tables across multiple systems.
The client's executives needed a tool to answer ad-hoc questions in plain English, but standard text-to-SQL solutions were insufficient. They...
“With Letta I could just prototype much faster. I was able to see the product working right away.”
Agentic AI platform for deterministic business process automation using plain English.
Open-source framework for building stateful LLM agents with persistent memory, formerly known as MemGPT.
Kognitos's Business analytics chat is part of this use case:
Related implementations across industries and use cases
50 years of logistics wisdom sat locked in founders' heads. Devs now query that expertise via AI to build automated cost-saving tools.
Ops manually chased drivers via chaotic calls. An AI voice agent now automates outreach, updating a dozen orders in a single interaction.
Analysts spent days building reports from slow, siloed tools. Now, they ask a question and an AI agent instantly generates an accurate chart.
Analysts spent 5 days coding reports. Now, business users query millions of records in plain English for instant results.
Simple questions demanded 45 minutes of SQL. An AI assistant now answers 70% of internal analytics, freeing the team from routine queries.
Manual checks of varied supplier documents bottlenecked financial close. Now, AI matches contracts, routing discrepancies to specialists.
Time zones bottlenecked competitive intel for global sales. Now, an AI Slack agent delivers vetted talking points and charts on demand.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.