People Intelligence Platform
Turn workforce data into decisions — attrition risk, skills gaps, and team-performance signals — privacy-first and explainable.
The problem
Workforce decisions are made on gut feel because the data lives in a dozen systems. Leaders can’t see attrition risk coming, skills gaps until they hurt, or which teams need support until it’s too late.
What it includes
The capabilities we build into this solution — engineered for production, not a demo.
Attrition-risk signals
Surface where and why people are likely to leave, early enough to act.
Skills-gap mapping
See the skills you have vs. the ones you’ll need, by team and role.
Team-performance analytics
Signals on workload, collaboration, and delivery — not surveillance.
Privacy-first design
Aggregated and access-controlled; built to respect employee privacy.
Explainability
Every signal shows its drivers so leaders can act with context.
HRIS integration
Connects your HR, ATS, and collaboration data into one view.
How we'd build it
The same method behind everything we ship: de-risked, measured, and in production in one quarter.
Feasibility
We validate the use case on your real data, define the accuracy bar and ROI, and give you an honest go/no-go — usually in weeks.
Build & evaluate
We engineer the system and score it against a labelled set until it clears the bar — quality is a measured number, not a promise.
Deploy
We ship to production, integrated with your systems and behind the right human-approval gates, with monitoring from day one.
Operate & improve
We watch it in production, handle drift, and expand scope as trust builds — feasibility in 6 weeks, production in ~90 days.
What you get
- Early, explainable attrition and skills-gap signals
- A single view across your HR and collaboration data
- Privacy-first, access-controlled analytics
- Decisions in the workflow, not another dashboard nobody opens
Production AI we've shipped
We'd build your solution with the same discipline behind these real, in-production engagements — described by sector under NDA.
A production document classifier — 5,000+ documents/month, built to a ≥95% accuracy target and live in 8 weeks.
Read the case studyBank-statement automation across 21 banks with a measured 0.24% transaction-direction error rate.
Read the case studyAI-at-POS recommendations running against live in-store transactions across every location.
Read the case studyWant to scope People Intelligence Platform?
Tell us the use case. We'll come back with a feasibility view and an honest go/no-go — a working prototype in about six weeks.
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Location
Barcelona, Spain • Lisbon, Portugal • Sheridan, WY, USA (incorporation)
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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