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.
Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
Analysts spent 5 days coding reports. Now, business users query millions of records in plain English for instant results.
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.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
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.
Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
Analysts spent 5 days coding reports. Now, business users query millions of records in plain English for instant results.
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.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.