Predictive Analytics & Decisioning
Turn your data into decisions — forecasts, risk scores, and classifications running in production, evaluated for accuracy, and wired into the systems where the decisions actually get made.
Dashboards describe the past; decisions need a prediction
Most analytics stops at a chart a human still has to interpret and act on. The value is in decisioning — a model that scores, classifies, or forecasts at the moment of action, at scale, with accuracy you can measure and defend.
From insight to decision
A prediction embedded in the workflow beats a dashboard nobody opens.
Measured, not asserted
Decisioning models need an evaluation bar and monitoring for drift.
At the point of action
The score has to reach the system making the call, in time to matter.
Models that make decisions, in production
We build predictive and decisioning systems — classification, forecasting, scoring — evaluated against a labelled bar and deployed where the decision happens. Monitored for drift, explainable where it needs to be, and integrated so the output changes what your systems do.
Classification & Scoring
Route, rank, and score records at scale with measured accuracy.
Forecasting
Demand, risk, and trend prediction built on your real history.
Evaluation & Monitoring
A measured accuracy bar and drift detection in production.
Decisioning at the Edge
Predictions delivered into the systems and workflows that act on them.
Explainability
Reasons behind a score, where risk and compliance require them.
Data Integration
Connected to your warehouses and operational systems.
What you get
Faster, consistent decisions
Automate the judgment calls that bottleneck operations.
Defensible accuracy
A measured bar you can show a regulator or a board.
Fewer costly misses
Catch risk and opportunity earlier and more consistently.
Decisions in the workflow
Scores land where the action happens, not in a report.
Drift-aware
Monitoring that flags when the world changes under the model.
Scales with data
From thousands to millions of decisions without re-platforming.
Recently shipped
Real, in-production work. Clients are described by sector and scale, per NDA — we don't publish numbers we can't stand behind.
A production classifier making 5,000+ document decisions/month to a ≥95% accuracy target — decisioning at scale, live in 8 weeks.
Network-wide recommendation logic running against live, in-store transactions across every location.
Sitting on data but short on decisions?
How we work
Feasibility in weeks, production in a quarter — not a nine-month science project.
Step 1: Feasibility
Assess the data, define the decision and its accuracy bar, and validate the ROI.
Step 2: Build & Evaluate
Train and score models against a labelled set until they clear the bar.
Step 3: Deploy
Put the decision into production where the workflow acts on it.
Step 4: Operate & Improve
Monitor for drift, retrain, and extend to new decisions.
Let's Start Your AI Journey
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Location
Sheridan, WY, USA • Barcelona, Spain • Lisbon, Portugal
Why Choose CONE RED?
- AI R&D lab & venture builder — production systems, not slideware
- Feasibility in 6 weeks, production in ~90 days
- Accuracy measured and evaluated — never invented or guaranteed
- Real engagements across financial services, healthcare & retail
- End-to-end support from strategy to deployment
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