An AI development company that ships to production.
We design and build LLM applications, AI agents, and chatbots wired into your data and workflows. Every build is grounded in your content, measured with evals, and engineered type-safe and observable, so it works in production, not just in a demo.
What we build
AI development services
From a single AI feature to autonomous agents and end-to-end automation, choose the build that fits the problem you're solving.
AI Application Development
LLM-powered applications built into your product, from retrieval and search to generation, shipped production-grade.
AI Agent Development
Autonomous agents that plan, use tools, and complete multi-step tasks against your systems, with humans in the loop.
AI Chatbot Development
Custom chatbots that answer from your knowledge base and hand off to a person cleanly when they should.
LLM Application Development
Retrieval-augmented apps grounded in your data, with evals and guardrails so answers stay accurate and safe.
AI Automation
Automations that use AI to handle language-heavy work, from triage to summarization, reliably at scale.
Business Process Automation
End-to-end workflow automation that removes manual steps across your tools, data, and teams.
AI Integration
AI features added to your existing product through typed, tested APIs and the right model providers.
Custom AI Solutions
Bespoke AI systems designed around a specific problem when an off-the-shelf tool won't fit.
How we work
Our AI development process
A clear path from use case to production, with quality measured at every stage.
- 01
Discovery & use case
We find where AI creates real value, not novelty, and define what success looks like and how we'll evaluate it.
- 02
Data & design
We prepare your data, choose models, and design retrieval, prompts, and guardrails before committing to a build.
- 03
Build & evaluate
Typed, tested engineering with evals and human review, so quality is measured against real cases, not guessed at.
- 04
Launch & improve
We ship to production, monitor cost, latency, and quality, and iterate as your data and usage grow.
Tech & tooling
Built on a modern, model-agnostic stack
We pick models and tools per use case and prioritize accuracy, cost control, and long-term maintainability over hype.
- Python
- TypeScript
- Next.js
- Anthropic Claude
- OpenAI
- LangChain
- pgvector
- PostgreSQL
- Vercel
What you can expect
- Quality measured with evals, not vibes
- Answers grounded in your data with retrieval (RAG)
- Guardrails, cost controls, and observability built in
- Type-safe, tested code you own and can maintain
Selected work
AI we've shipped to production
FAQ
AI development, answered
Exploring what AI can do for you? Book a call and we'll pressure-test the use case.
What does your AI development service include?
Use-case discovery, data preparation, model selection, and the full build of LLM applications, agents, chatbots, and automations, plus evaluation, guardrails, and deployment. We can own the whole project or add AI features to an existing product alongside your team.
Which AI models do you build with?
We're model-agnostic and choose per use case, working with leading providers like Anthropic Claude and OpenAI, and with open models where privacy or cost calls for it. We default to the most capable models for the task and design so you can switch providers without a rewrite.
How do you keep AI outputs accurate and grounded in our data?
We use retrieval-augmented generation (RAG) to ground answers in your own content, add guardrails to constrain responses, and build evaluation sets so we can measure accuracy on real cases. Where it matters, we keep a human in the loop rather than letting the model act unchecked.
Can you add AI to our existing product?
Yes. We integrate AI features into your current stack through typed, tested APIs, whether that's search, generation, a chatbot, or automation, without disrupting what already works.
How do you handle data privacy and security?
We treat your data as sensitive by default: least-privilege access, no training on your data without explicit agreement, and provider options that keep data in-region or on private endpoints when required. Security and privacy are decided during design, not after.
What does an AI project cost and how long does it take?
It depends on the use case, data readiness, and how far into production it needs to go. A focused pilot can move quickly; a production system with evals and integrations takes longer. After a discovery call we scope the work and give you a clear estimate before building.
Let's build something worth shipping
Tell us what you're working on. Book a call to talk through it, or send a few details and we'll get back to you with next steps.
