Assistants API built into your product, not bolted on
We build production integrations with the OpenAI Assistants API, persistent threads, function calling, file search, and the infrastructure layer that keeps it reliable when real users and real data are involved.
From API keys to production-grade assistant
The docs get you to a demo. We get you to a system that handles real user volume.
Assistants API integration
End-to-end integration of the OpenAI Assistants API into your product, thread management, tool calling, file search, and the stateful conversation layer your application needs.
Custom function calling
Defining and connecting the function schemas that let your assistant call your real APIs, query your databases, and trigger actions in your systems, not just generate text.
File search & knowledge bases
Attaching your documents, PDFs, and knowledge bases to an assistant with file search, so it answers from your content, not from its general training data.
Production assistant infrastructure
Building the thread storage, usage monitoring, cost controls, and rate-limit handling that a production Assistants API deployment requires beyond the happy-path demo.
Managed state and tool use, without building it from scratch
State is the difference
The Assistants API gives you persistent threads, memory, and tool use in one managed layer. Building that yourself with raw completions takes weeks. The API gets you there in days, if the integration is done right.
Function calling is where the value lives
An assistant that can only talk is a chatbot. One that can call your APIs, write to your database, and trigger workflows is an AI agent embedded in your product. Function calling is that bridge.
Production needs more than the docs cover
The OpenAI documentation covers the happy path. Production deployments hit thread expiry, token limits, partial tool responses, and cost spikes. We have shipped through all of those.
Want an assistant that works inside your actual product?
Describe what you need the assistant to do. We will tell you whether the Assistants API is the right fit and what the integration involves.
