Trusted by Organizations
Applications on the CML+ platform, each with an AI tutor and coach that trains your staff as they use it.
Student success, career outcomes and institutional decisions.
Apps
Attendance, student success and literacy in K-12 schools.
Apps
+0.2 SD3rd-grade reading scores, Kids Read Now
ICU digital twins, care management and virtual trial cohorts.
Apps
3k → 8.5kdaily steps in an NIH-funded randomized trial
Conservation programs, asset management and water-loss detection.
Apps
4–7×more cost-effective conservation in Carrizo Springs
Lead-channel ROI, retention and customer lifetime value.
Apps
7%better customer retention at Americor
Evidence to prevent human trafficking, state by state.
Apps
No automated decision affects a person. CML+ ranks, recommends and explains; your people decide.
CML+ builds on your dashboards and analysts rather than replacing them, starting from the systems you already run.
| Compared on | BI dashboards | In-house analysts | Consultants | CML+ |
|---|---|---|---|---|
| Answers | What happened | The questions they have time for | One question, once | Which action changes the outcome, for whom, by how much |
| Keeps learning | No | When staffed | Ends with the report | Each cycle of outcomes updates the evidence |
| Who can use it | Analysts and leaders | Analysts | Sponsors | Leaders, analysts and front-line staff, each in their own terms |
| Works with | The reports you already build | The data they can reach | Extracts for one engagement | The systems you already run |
See CML+ alongside the dashboards and analysts you already have.
Book a working sessionOur six-stage method comes down to three moves, and every result makes the next decision smarter.
We connect your systems, prove our methods on a synthetic twin of your data, and check findings against published research.
Try each option on a digital twin in minutes, and rank them by expected impact.
The best options go live as small experiments. Agents explain results to each team, and every result feeds back.
A causal result is only useful if each person can act on it. Here is how the agent tailors the same evidence to each stakeholder.
Example: a K-12 attendance application
Are we on track for our chronic-absenteeism goal, and where should we invest?
How confident are we that mentoring caused the improvement?
Who should I call first this morning, and what do I say?
How do I explain why we're reaching out?
Illustrative example based on a K-12 attendance application. Numbers are for demonstration.
In a 45-minute working session we show what the evidence already says about it, what we could simulate, and how you would learn as you go.
Book a working sessionTrusted by Organizations
Stay up to date with our latest thinking on causal AI and evidence-based analytics
A Department of Education-funded platform flags struggling students from Canvas and Banner data and recommends interventions; grades rose more than 8% for flagged students in an early pilot.
The evolution from personalized learning to precision learning through causal AI and advanced analytics.
Leveraging responsible AI to move from intuition-based to evidence-driven strategies in combating human trafficking.