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.
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 5 days coding reports. Now, business users query millions of records in plain English for instant results.
Analysts spent 5 days coding reports. Now, business users query millions of records in plain English for instant results.
Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
Searching 4kg of paper manuals forced drivers to stop trains. Now, they query a secure AI assistant for instant, validated answers.
Aging CRMs and Excel sheets bottlenecked operations. Now, agents resolve calls in 1 minute and mobile workers query data via hands-free AI.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
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.
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 5 days coding reports. Now, business users query millions of records in plain English for instant results.
Analysts spent 5 days coding reports. Now, business users query millions of records in plain English for instant results.
Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
Searching 4kg of paper manuals forced drivers to stop trains. Now, they query a secure AI assistant for instant, validated answers.
Aging CRMs and Excel sheets bottlenecked operations. Now, agents resolve calls in 1 minute and mobile workers query data via hands-free AI.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.