We build AI systems for
Healthcare
aimateo designs and ships production AI — computer vision, agents, forecasting, and the infrastructure to keep them running — built around how your industry actually works, not a generic demo.
Six disciplines, one team — no handoffs between vendors.
Every engagement is staffed by engineers who ship, not account managers who translate.
Custom AI Development
Bespoke models and pipelines built around your data and constraints — not a fine-tuned vendor demo wearing your logo.
from scratchLLM & Agent Systems
Production-grade copilots and autonomous workflows wired into the tools your team already uses daily.
agenticComputer Vision
Inspection, tracking, and quality systems trained on your equipment, your lighting, and your actual edge cases.
visionForecasting & Prediction
Demand, risk, and failure models tuned to your operational reality — with confidence intervals your team can act on.
time-seriesMLOps & Infrastructure
Deployment, monitoring, and retraining pipelines so a model that worked at launch still works eighteen months later.
infraAI Strategy & Audits
A clear-eyed read on where AI pays for itself in your stack — and an honest answer where it doesn't, yet.
advisorySame discipline, different constraints — we build for the room, not the trend.
Each industry has its own rules for what "good enough" means. We design to those, not around them.
Healthcare
Clinical documentation, triage support, and imaging tools designed to sit inside existing compliance boundaries.
Financial Services
Underwriting, fraud detection, and reconciliation models that hold up under audit, not just backtest.
Manufacturing
Defect detection and predictive maintenance running on the plant floor, on hardware you already own.
Logistics & Supply Chain
Route, inventory, and demand models that adapt when a supplier misses a date — because one always does.
Retail & E-commerce
Personalization and inventory forecasting that respect margin, not just click-through rate.
Energy & Utilities
Load forecasting and grid anomaly detection built for infrastructure that cannot afford a false positive.
A five-stage build, in the order it actually has to happen.
You get a working build every week, not a slide deck at the end of the month.
Discover
We audit your data, workflows, and constraints before writing a line of model code — so the plan is grounded in what's actually there.
Design
Architecture and model selection sized to the problem, not to whatever's trending — sometimes the right answer is a regression, not a transformer.
Build
Iterative development with a working build every week, reviewed together — no black-box sprint that ends in a surprise.
Deploy
Production rollout with monitoring and rollback in place from day one, not bolted on after the first incident.
Scale
Retraining loops, drift monitoring, and a path to the next use case once the first one is earning its keep.
You'll talk to the people writing the code.
No account layer between you and the engineering. Every client works directly with the people building their system, from kickoff to the day it ships.
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Fixed-scope pilots first
We prove the approach on a bounded slice of the problem before you commit budget to the full build.
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You own the code and the models
Everything we build ships into your repositories and your infrastructure — no platform lock-in, no recurring license.
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We say no to the wrong problems
If a rules-based system solves it more reliably than a model, that's what we'll recommend.
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Built to be maintained by your team
Documentation and handover are part of the deliverable, not an afterthought if there's time left.
Tell us what's breaking, or what's still done by hand.
Most engagements start with a 30-minute working session, not a sales call. Bring the messy version of the problem.