You don't need to rebuild your entire stack to get value from AI. We integrate LLMs, agents, and AI capabilities into your existing applications -- without disrupting what's already working.
Most teams approach AI as a standalone project -- a separate service, a new platform, a fresh stack. That approach creates silos, duplicates infrastructure, and produces AI features that feel bolted-on rather than built-in.
The engineering reality is that the most valuable AI work happens inside existing products: the CRM that gains an AI assistant, the workflow engine that gains a smart routing layer, the document system that gains extraction and summarization. We specialize in that integration work.
Embed LLM capabilities into your existing applications via API. We handle authentication, rate limiting, cost management, error handling, and fallback logic -- the production engineering around the model call.
Add AI agent capabilities to your existing workflows. We design agents that use your existing tools, databases, and APIs as their action space -- not a new environment.
Connect your existing data sources to AI systems -- databases, document stores, APIs, and data warehouses. We build the retrieval and context layer that gives AI access to your data.
Surface AI capabilities in your existing UI -- chat interfaces, inline suggestions, smart search, and AI-assisted workflows. We build the frontend components and API contracts.
We map your existing stack, identify integration points, and design an approach that minimizes disruption to what's already running.
We integrate AI capabilities one layer at a time, with feature flags and rollback paths at every step.
We instrument the integration with logging, monitoring, and cost tracking. Your team can see what AI is doing and why.
Tell us what your software does today -- we'll show you where AI fits and what it would take to integrate it.
