AI Strategy & Consulting
AI that ships, not slideware
Everyone is experimenting with AI. Few are putting it in production. We design, build, and operate AI systems that solve a measurable business problem, and we tell you honestly when AI is the wrong tool.
Build
What we build with you
Why teams pick us for AI
Practical over hype
Every engagement starts with a feasibility check against your data and workflows. If a simpler solution beats a model, we say so before you spend.
Production-first engineering
Evals on your real data, guardrails, and end-to-end tracing are part of the build, not an afterthought when the demo breaks.
One team, full stack
Strategy, data, model integration, and the product around it, handled by one senior team instead of three vendors.
What we build
Typical engagements our AI team delivers.
LLM-powered products
Copilots, chat interfaces, and generation features built into your product.
Multi-step agents
Agent systems built with LangGraph that plan, call tools, and complete real workflows, validated with evals and monitored in Langfuse.
Knowledge assistants
Retrieval-augmented assistants that answer from your private documents, accurately and with sources.
Process automation
Document processing, triage, and back-office workflows automated with AI plus human review.
Private & compliant deployments
When regulation, data residency, or confidentiality demands it, we run models inside your own cloud or on-premise, so your data never leaves your environment.
Agentic development setup
We set your engineering team up with AI-assisted development: Claude Code, Cursor, and the workflows and review practices that make it safe to ship faster.
Strategy & feasibility audits
A short, fixed-price assessment of where AI actually pays off, with use cases scored and sequenced into a fundable roadmap.
How it works
From request to result
Copilots, agents, and automations we ship all run the same loop.
Request
Something needs doing
A user asks a question, a document arrives, or a call comes in.
Plan
The agent breaks it down
A multi-step agent maps the job and picks the right tools.
Act
Tools do the work
It queries your data, calls your APIs, and drafts the result.
Quality gate
The result is checked
Guardrails and evals validate the output before anyone sees it.
Observability
Every step is traced
Quality, cost, and latency are measured on every run, so the system improves instead of drifting.
Stack
Technologies we build with
Claude
OpenAI
LangChain
LangGraph
Langfuse- Claude Code
Cursor
How we work
01
Assess
Understand the workflow, the data, and the success metric.
02
Prototype
A working proof of concept on your real data within weeks.
03
Productionize
Hardening, evaluation, guardrails, and integration into your stack.
04
Operate
Monitoring, cost tuning, and iteration once it is live.
How we deliver
AI-native on every engagement
AI-assisted engineering
Every engineer works with Claude Code and Cursor. The repeatable parts go faster, and seniors focus on the hard ones.
Quality is measured
Evals and end-to-end tracing come standard, so quality, cost, and latency are numbers, not opinions.
People own the risk
Architecture, security, and reviews stay with senior engineers. AI accelerates, people decide.
Not sure where AI fits your business?
Book a call. We will tell you what is feasible, what it costs, and what to skip.