India is scheduled to invest more in infrastructure over the next ten years than it has in its history. Whether that translates into working grids, cities and corridors — or into audit reports about what went wrong — depends on how well hundreds of agencies coordinate.
Greeniti exists to make that coordination tractable. We build AI decision systems that give planners, utilities and ministries a shared, evidence-based view of what to build, where, and in what sequence.
Our first product is a regulatory sandbox for power transmission — where 84% of projects miss schedule and clean-energy targets depend on unblocking the grid. It's the sharpest edge of the problem, and the best proof point for the approach.
But the underlying stack — regulation graph, geospatial constraints, delay-pattern models, scenario simulation — generalises. Distribution, city gas, urban planning, highways, rail, water. Different acronyms; the same coordination problem.
We build with, not around, the institutions that make these decisions. That's non-negotiable.
Every recommendation cites the rule, the dataset, or the audited precedent behind it.
Statutory authority stays with the state. We compress the workflow around it.
Not demos. We deploy inside live projects with real deadlines.
Indian law, Indian data, Indian institutions — not adapted from elsewhere.
We're actively looking for utilities, ministries and developers to co-build the next sector.