Generative AI/ML Solutions
LLMs and generative models wired into real workflows.
We take generative AI past the demo stage — integrated into your actual product, with the evaluation, guardrails, and cost controls that make it something you can rely on in production, not just show in a pitch deck.
What's included
- LLM integration into existing products and internal tools
- Prompt and evaluation pipelines so quality is measured, not guessed
- Retrieval and vector search for grounding models in your own data
- Cost and latency tuning for production-scale usage
Tools & tech
How we work
Discovery
We start by understanding your product, users, and constraints — no assumptions carried over from another project.
Plan
We map the approach, scope, and milestones so you know what's being built and when.
Build
Design and engineering move together in short cycles, with working software to react to early.
Launch & support
We ship, monitor, and stay close after launch to fix what real usage surfaces.
What we do
LLM integration
Models wired into your actual product surface, not a standalone chat demo.
Evaluation pipelines
Quality measured against real test sets, so you know when a prompt change helps or hurts.
Retrieval & grounding
Vector search and retrieval pipelines that ground responses in your own data, not just the model's training.
Cost & latency tuning
Production-scale usage tuned for cost and response time, not just accuracy in a notebook.
Why work with us
Predictable delivery
Work moves in short, visible cycles, so you always know what's shipping and when — no black box between kickoff and launch.
Built to last
Code we hand over is code we'd maintain ourselves — documented, tested, and free of shortcuts that become someone else's problem.
An outside eye
We ask the hard questions early — about scope, architecture, and risk — before they turn into an expensive fix six months in.
Let's talk about your project
Tell us what you're building — we'll tell you how we'd approach it.