Artificial Intelligence
We connect your product to the right LLMs and design the workflows around them — prompting, retrieval, guardrails, and evaluation — so AI features are dependable, not experimental.
What's included
End-to-end coverage, whether you're starting from a blank repo or extending something that already exists.
LLM integration
Anthropic, OpenAI, Gemini, and other providers, chosen per use case.
RAG & knowledge retrieval
Ground responses in your own data and documents.
Prompt design & evaluation
Structured testing so quality doesn't drift over time.
Guardrails & safety
Input/output validation for production-grade reliability.
Custom AI features
Search, summarization, classification, copilots, and agents.
Cost & performance tuning
Right-size model choice and usage for your budget.
AI Adoption
Hands-on rollout and training so your team actually uses what we build.
AI automations
Automate repetitive workflows end to end with AI-driven pipelines.
Teams that want to ship real AI features into an existing product without betting the whole roadmap on it.
How we work
A straightforward process built around visibility — you always know what's being built and why.
Discovery & scoping
We map your goals, constraints, and existing systems before writing a single line of code.
Architecture & planning
We define the technical approach, stack, and milestones so there are no surprises mid-build.
Iterative development
Short cycles with working software you can review at every step, not just at the end.
Launch & support
We ship, monitor, and stay close for the first weeks in production — then keep supporting as needed.
Technology we work with
We pick the right tool for the job, not the other way around.
Have a project in mind?
Tell us what you're building and we'll get back to you with next steps.