Build real AI into your business - without the guesswork
We design AI workflows, train small language models for niche tasks, and ship production-ready assistants for small and medium teams. Practical, affordable, and fully handed over to you.
- faster delivery vs. building in-house
- 2-3x
- lower inference cost with tuned SLMs
- 90%
- to a working prototype
- Days
- of code & models handed to you
- 100%
faster delivery vs. building in-house
lower inference cost with tuned SLMs
to a working prototype
of code & models handed to you
What we do
AI services, end to end
From a single automated step to a fully trained model in your pipeline - we pick the right tool for the job and ship it.
How we work
A clear path from idea to impact
No six-month black boxes. We move in small, visible steps so you see value early and stay in control the whole way.
Discover
We learn your business, the process we're improving, and what success looks like. No jargon, no assumptions.
- Goals & constraints workshop
- Data & systems review
- Success metrics defined
Prototype
We build a focused proof of concept fast, so you can see real results before committing to a full build.
- Working prototype in days
- Evaluated against your data
- Go / no-go decision
Build
We harden the prototype into something production-ready - reliable, monitored, and integrated with your tools.
- Production engineering
- Guardrails & evaluation
- Integration with your stack
Deploy & Support
We ship it, watch it in the real world, and keep improving. You're never left holding a black box.
- Smooth rollout
- Monitoring & iteration
- Knowledge transfer to your team
Use cases
What this looks like in practice
Illustrative examples of the kind of work we do. Yours will be tailored to your business.
Support inbox that answers itself
Problem: A 6-person team was drowning in repetitive order and returns questions, with replies taking hours.
Solution: A RAG assistant trained on policies and order data drafts grounded replies for agents to approve.
- ~70% of tickets auto-drafted
- First-response time minutes, not hours
- No new headcount
Proposals drafted in minutes
Problem: Consultants spent hours hand-assembling proposals from past projects and scattered docs.
Solution: An automated workflow pulls relevant past work and drafts a tailored proposal for review.
- Draft time cut by 80%
- More consistent quality
- More proposals sent per week
A tiny model that classifies every shipment
Problem: Calling a frontier model on every shipment note was slow and expensive at scale.
Solution: A fine-tuned small language model classifies notes accurately at a fraction of the cost.
- ~90% cheaper per call
- Sub-second latency
- Accuracy on par with the big model
Why teams choose us
A studio that behaves like part of your team
We're engineers first. That means honest scoping, real working software, and a clean handover - not a dependency on us forever.
Speed over ceremony
We get to a working prototype in days, not quarters. You see real output before committing to a full build.
Right-sized, not over-sold
We use the cheapest tool that does the job - often a small tuned model instead of an expensive frontier API.
Privacy-first by design
Your data stays in your control. We can run models in environments you own when that matters.
You own everything
Code, models, and documentation are handed to your team. No lock-in, no black boxes.
FAQ
Questions, answered
The things teams ask us most before getting started.
No. We specialize in small and medium teams. We start with a focused, affordable prototype so you can see value before investing in a full build, and we handle the data plumbing for you.
Have a process that's begging for AI?
Tell us what you're trying to improve. We'll reply with an honest take and a suggested first step - usually within two business days.