Nika

Headquartered in Singapore, Nika builds spatial AI for the decisions that shape a country: urban planning, housing and infrastructure, utility and energy networks, environmental monitoring and disaster response. Its users are public agencies, enterprises and consultancies doing survey, certification and audit work.

NikaPlanet is the foundation this work runs on. It stores, converts and processes map data at petabyte scale, scales computing power to match the job, and gives teams ready-made mapping building blocks — a machine learning and automation framework for map data, plus a powerful mapping SDK — so anyone can launch their own mapping applications without building the plumbing.

On that foundation, anyone can search, manage and analyse complex mapping data without heavy technical work. Nika's AI answers questions in plain English across an organisation's files, CAD drawings, maps, satellite imagery and location data, and shows the source behind every answer — closing the translation gap between GIS specialists and the teams that depend on their work.

Key Features

Handles the hard data — reads 100+ spatial formats, from satellite imagery and 3D point clouds to GIS layers, CAD files and survey documents, and connects to 100+ sources including cloud storage and company file systems

Ready to build on — machine learning tools for map data, plus Python and JavaScript libraries, so teams ship their own mapping applications, in the cloud or on their own servers

Works with what you already have — plugs into ArcGIS, QGIS, PostGIS and DuckDB, so organisations keep the systems and licences they already run

Every answer is traceable — ask in plain English and see the source data behind each result, kept current with mobile field capture and data labelling tools

Value Proposition

Nika adds AI to the systems an organisation already runs, instead of replacing them. Teams launch mapping applications sooner and get answers in hours instead of weeks — usable by non-experts, checkable by auditors.