From LLM fine-tuning and RAG to predictive models and automation, we build AI that slots into how you already work and earns measurable ROI. No science projects. No demos that never ship. Just systems that do the job.
One AI partner · the whole stack
AI products shipped to production
to first production model
on-time delivery
vetted senior engineers
Why most AI never earns a dollar
Four ways AI investment quietly turns into sunk cost — and what we build instead.
A slick prototype impressed everyone — then never survived real users, real data, or a security review. The 'last 20%' is where most AI dies.
An off-the-shelf model is confident and wrong in exactly the ways that embarrass you in front of customers. Trust is the feature you're missing.
Effort went in, a model came out, and nothing changed on a single business metric. AI that doesn't move a number is a science project.
Inference bills creep, latency drags, and suddenly the AI feature costs more than it earns. Cost per query is an engineering decision, not an accident.
One partner, the whole AI stack
Six capabilities, one accountable team. Click into any of them for the deep dive, the engineering, and a real project we delivered.
Receipts, not promises
BrightSmile had grown by acquisition to 214 dental practices on a dozen different systems, with a profit picture that arrived monthly and weeks late. We unified the data and put AI on the leaks. Here's what the numbers did.
BrightSmile Partners
Dental practice network · 214 locations · North America
Practices unified
Avg. margin lift
Leakage recovered, yr 1
Reporting (was monthly)
“We were running a 214-practice business on a month-old spreadsheet. Now I can see every location this morning, and the system tells me where the money is leaking before it's gone. The first year paid for the platform many times over.”
How we work
A disciplined path that treats 'it works in a notebook' as the start line, not the finish.
We pin down the business outcome, the success metric, and what your data can actually support — before a line of code.
We build the smallest thing that proves it works, measured on an evaluation harness from day one. No vanity demos.
Guardrails, security review, and integration into your stack — the unglamorous 80% that turns a model into a product.
Production rollout with monitoring, drift detection, and a plan to keep accuracy up and cost per query down.
Straight answers
The full lifecycle: discovery and data audit, model selection or fine-tuning, RAG and retrieval, evaluation, secure deployment, and monitoring. We cover generative AI and LLMs, chatbots, predictive analytics, NLP and computer vision, data engineering, and workflow automation — under one senior team.
Off-the-shelf tools solve the average company's problem. We build for yours — grounded in your data, wired into your systems, and tuned to the accuracy, latency and cost targets that actually matter to your business. You own the code and the model.
We scope a measurable outcome in week one, build against an evaluation harness from the first sprint, and ship in milestones you can verify. Most failed AI work dies in the gap between demo and production — closing that gap is the whole job.
No. We assess your data maturity up front and can work with smaller datasets using retrieval, transfer learning, and synthetic augmentation. You don't need to hire an ML team — that's what you're hiring us for.
You do, in full, from the first commit. We work in your repository under your license and hand over documented code, an evaluation report, and a runbook.
Tell us the outcome you need. You'll have a senior AI engineer and a clear, fixed-scope plan back within 24 hours.
2000+ vetted engineers · 3 global hubs · 98% client retention
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