AI development that ships to production.
Most AI projects die as demos. We engineer LLM products that survive real users — copilots, RAG pipelines, and automation agents built on GPT, Claude, and open-source models, backed by the infrastructure to run them fast and affordably.
What you ship with us
Every engagement is scoped around a working feature in your product — not a research report. From the first week, we build against your real data, your real users, and your real latency budget.
Start a Project- AI copilots and chatbots embedded into your existing product
- Retrieval-augmented generation (RAG) over your private documents
- AI automation for support, sales, content, and operations
- Vision and document processing pipelines
- Evaluation harnesses and guardrails that keep quality high
- Cost controls, monitoring, and streaming built in from day one
What we build for you
Six areas where we bring deep, shipped-in-production AI engineering experience — from the first prompt to the infrastructure bill.
areas
AI Copilots & Assistants
Domain-aware assistants that understand your product, data, and users — built on GPT, Claude, or fine-tuned open-source models, with tool calling and multi-model routing.
RAG & Semantic Search
Vector pipelines that ground every answer in your own knowledge base — document ingestion, embeddings, hybrid search, and source-cited answers free of hallucinated facts.
AI Automation Agents
Multi-step agents that orchestrate tools, APIs, and workflows — handling support tickets, data entry, and back-office operations with human-in-the-loop approvals.
Vision & Document AI
OCR, intelligent parsing, and image understanding that turn invoices, forms, scans, and photos into clean, structured data your systems can act on.
ML Infrastructure
The serving layer that keeps AI features fast and affordable at scale — caching, token streaming, observability, latency tuning, and per-feature cost tracking.
Evaluation & Guardrails
Labeled evaluation sets, CI regression gates, content filters, and red-team reviews — so every release makes your AI better, never worse.
Models & tools we work with.
Model-agnostic by design — we benchmark against your task and pick what performs, not what's fashionable.
Built for teams with real stakes.
Enterprises
Deploying internal copilots and knowledge assistants that make teams measurably faster — without exposing sensitive data.
SaaS Products
Adding AI features your competitors can't match — embedded assistants, smart search, and automation inside your existing app.
Startups
Scaling an AI prototype into a production product — with the infrastructure to survive real traffic and real users.
Operations Teams
Automating document-heavy, repetitive workflows — support triage, data extraction, and reporting that used to eat whole days.
Got questions? We’ve got answers.
Can you build AI features on top of our existing product?
Yes — most of our AI work is integration, not greenfield. We connect to your existing database, auth, and billing systems and ship AI features inside your current app, with no core rewrite required.
Which model should we use — GPT, Claude, or open-source?
We benchmark your actual task in week one and let the results decide. Nuanced, user-facing features usually favor GPT or Claude; high-volume internal workloads often run cheaper on fine-tuned Llama or Mistral. Model routing lets you mix both.
How do you control AI costs in production?
Caching, prompt compression, model routing, and token streaming — plus per-feature cost tracking so you always know what each AI feature costs per user, and can catch spend regressions before your invoice does.
Do you handle model evaluation and safety?
Every feature ships with a labeled evaluation set and CI regression gates, so prompt and model changes are tested like code. For sensitive domains we add content filters and run red-team sessions before launch.
Ready to ship
your AI product?
Tell us what you want to build in a few sentences. We'll come back within one business day with a proposed approach, timeline, and the engineers who'd build it.