AI that actually works in production.
We embed real AI capabilities into your product. LLMs, agents, RAG pipelines, and automation — purpose-built for your use case.
What's included
Everything you need, nothing you don't.
LLM integration
OpenAI, Anthropic, open-source models — we integrate the right model for your use case with proper prompt engineering and cost controls.
Custom AI agents
Autonomous agents that take actions, make decisions, and handle workflows your users would otherwise do manually.
RAG & knowledge bases
Vector databases, embedding pipelines, and retrieval systems that let your AI reference your actual data accurately.
Prompt engineering & optimization
Structured prompts, chain-of-thought reasoning, and output validation so your AI is reliable, not random.
AI cost optimization
Token usage monitoring, model routing, caching strategies, and fallback logic to keep your AI spend predictable.
Evaluation & monitoring
Logging, quality scoring, and regression testing so you know your AI is performing and can improve it over time.
How it works
Use case assessment
We evaluate where AI creates real value in your product versus where traditional logic is better. No AI for the sake of AI.
Architecture & model selection
We design the AI architecture, choose the right models, and define the integration points with your existing system.
Build & iterate
We implement the AI features, run evaluations, tune prompts, and iterate until the output quality meets your bar.
Ship & monitor
Your AI goes live with monitoring, cost tracking, and quality checks in place. We stay on for tuning as real usage data comes in.
