The data layer for AI agents
Gekit gives your agents the right enterprise data, so they deliver better results, faster and at lower cost.
How it works.
AI agents ask many different kinds of questions. No single index, retrieval method, or query strategy works for all of them.
Gekit prepares your data in advance and chooses the best way to answer each request.
Optimized Data Layer.
Gekit preprocesses your data and builds specialized indexes and metadata for different kinds of questions.
Intelligent Query Execution.
When an agent makes a request, Gekit chooses the right data structures and execution strategy to answer it.
Self-Improving Infrastructure.
Gekit learns from workloads and continuously improves what it indexes, prepares, and computes.
Let your agents focus. Let Gekit handle the data.
Built for the agentic loop.
Your application agent sends a data request to Gekit. Gekit finds just the right data, so your agent can focus on reasoning instead of wasting resources on data access.
Application Agent
Sends data requests to Gekit and uses the returned results to reason and act.
Gekit
Plans and executes data work using the best indexes, metadata, and compute path for each request.
Your Data
Your unmodified databases, document stores, APIs, memory systems, and other enterprise data systems.
Give your agents better data.
Let your agents delegate data work to Gekit and get faster, cheaper, and more reliable results.