AI That Explains Why — Not Just What
24may builds Causal AI solutions for universities, governments, and enterprises. Hong Kong-based.
Education · Engineering · Smart City · Construction · Corporate Training
Causal AI at the Core
We estimate the effect of acting — not just what correlates with what.
Built for Institutions
Auditable, explainable, and reportable analysis decision-makers can defend.
HK First
Hong Kong-based and focused, with global reach as a secondary market.
Education First
Grounded in universities and L&D, where causal questions matter most.
Causal AI
We don’t just predict. We explain.
Predictive models tell you what tends to happen. Causal AI estimates what happens when you act — the difference between a forecast and a decision.
- Estimates the effect of an interventionOnly ranks what correlates
- Answers “what if we change this?”Answers “what usually happens next?”
- Experts encode the causal structurePatterns inferred from data alone
The Ladder of Causation
Standard ML lives on the bottom rung. 24may works on the top two — with your experts in the loop.
Reference implementations
See the approach in context
These demo applications show how Causal AI behaves on real institutional problems. Both are in development, with early access open.
Causal GIS Platform
Causal AI applied to spatial data. Domain experts define causal hypotheses; the platform estimates effects and visualises results on an interactive map.
IoT Device Platform
Real-time IoT monitoring with AI anomaly detection and predictive analytics across all 18 Hong Kong districts.
Where Causal AI fits
Featured projects
We are early-stage and honest about it. These projects span our demo applications — explore the full portfolio, including forward-looking concepts.
District Congestion Intervention Modelling
Estimating how district-level roadworks and signal changes cause shifts in traffic across the network.
Counterfactual traffic estimate per intervention
18-District IoT Environmental Monitoring
Real-time device telemetry paired with causal analytics across all 18 Hong Kong districts.
Live telemetry across 18 HK districts
Air Quality Policy Impact
Quantifying how environmental policies cause measurable changes in air quality over space and time.
Counterfactual air-quality estimate per policy
Human-in-the-loop
Experts own the assumptions
Explainable
Every estimate is auditable
Hong Kong-based
Local focus, global reach
Research-grounded
Built on causal inference
See Causal AI on your institution’s data
Book a demo and we will walk through how a causal model would fit one of your real decisions — with your experts in the loop.