Custom models engineered for ROI
Predictive, vision and NLP models built around a business metric — not a benchmark — and shipped to production where they earn their keep.
every model targets a KPI — and ships to production
/ what actually counts
Accuracy isn’t all.
Your number is.
A model can top every benchmark and still move nothing. We engineer each one around a business metric you already track — so it earns its keep, not a leaderboard rank.
/ what it’s worth
Every $1 in AI,
$3.70 back
The return is real — but it only shows up when the model moves a metric your business already lives by. That’s the only kind we build.
return on every $1 invested in AI
IDC / Microsoft, 2024
…but only when the model is tied to a number you already track. A leaderboard win returns nothing.
/ the model’s P&L
What a model
is worth
Churn is one example — drag in your numbers and watch the revenue a retention model protects.
Revenue saved / year
customers retained / year
Cutting churn 15% keeps ≈ 1,125 customers — ≈ $1.4M a year.
/ how a model learns
Signal out of the noise
We don’t chase leaderboard accuracy. We engineer the model that separates the signal that drives your KPI from the noise — and prove it on your real, held-out data.
proven against a baseline, before rollout
/ how we ship it
Built to ship,
from line one
Most models die in a notebook because no one planned for production. We work backwards from the KPI, and every step earns its place on the way to a live, monitored model.
Frame the KPI
Start from the number you want to move — not a model type.
Baseline
Measure today's cost and performance, so impact is provable.
Engineer & train
Features, model and tuning — on your real, messy data.
Validate
Held-out, real-world tests against the baseline before rollout.
Ship & monitor
Into production with drift detection and a retraining path.
/ what we build
Three families, one standard
/ where it pays
Models that move
real numbers
The same engineering, pointed at the decisions that cost or earn the most. A few of the places it lands hardest:
Forecasting & demand
Right stock on the shelf — less waste, fewer stock-outs.
Churn & retention
Spot at-risk accounts early and save the revenue.
Fraud & anomaly
Catch the bad transaction before the loss lands.
Vision & quality
Find the defect a tired human eye would miss.
Docs & language
Turn hours of reading into an instant answer.
Pricing & risk
Price each deal to the margin it actually carries.
/ why it pays
Outcomes you can measure
model accuracy
Predictive models
Forecasting, churn, demand and risk models tuned to your decisions and data.
faster inspection
Computer vision
Detection, inspection and OCR that automate what humans can't do at scale.
less manual review
NLP & search
Classification, extraction and semantic search over your unstructured text.
AMDIM delivery · McKinsey 2024 · AMDIM engagements — verified, not invented.
/ what we deliver
End-to-end, not half-built.
/ before you commit
Fair questions
Whatever ships fastest and safest — we fine-tune proven open models when we can, and build bespoke only when the problem demands it.
See where you stand in 5 minutes.
Take the AI/ML Solutions Readiness Scorecard — a tailored score and the fastest path to impact.
/ explore more