An intelligence layer
for utilities everywhere.
The energy transition runs on data that is messy, fragmented and locked inside PDFs and portals. MartinAI exists to make that data understandable, and trustworthy enough to act on.
Utility data lives in incompatible bills, standardized files, tariffs and meters, across many commodities and regions. Reading it is slow; trusting it is harder.
We treat utility documents as a graph of meaning, not a wall of text, resolving every field in context and validating it against tariffs and relationships.
Structured, governed data that flows into billing, M&V, benchmarking, programs and planning, with confidence and provenance attached.
Principles, not features.
Domain-true
We build for the messy reality of energy data: tariffs, meters, Green Button and regulators, not a generic document pipeline.
Trust by design
Every answer carries confidence and provenance. Validation questions its own output before you rely on it.
Sovereign & governed
Your data stays yours. Knowledge is curated and governed by a Knowledge Trust Framework, deployable in your environment.
Global, grounded
Bilingual by default, accessibility-aware, and aligned to local utilities, tariffs and privacy law wherever you operate.
Six modules, one core.
Document Intelligence
Reads any utility bill or statement, across every commodity and layout, and resolves each one into a single clean, structured object.
Validation & Compliance
Cross-checks extracted data against published tariffs and cross-field relationships, flagging billing errors, anomalies and rate mismatches before they cost you.
Energy & Utility Management
Boards, facilities and meters in one place, with usage ingestion, benchmarking, measurement and verification, emissions tracking and bilingual support.
Trusted Domain Intelligence
A governed knowledge layer that answers questions with confidence scores and provenance, and can be deployed sovereignly inside your own environment.
Infrastructure Mapping
Interactive maps of energy and utility infrastructure: generation, networks, loads and live prices, turning invisible systems into something anyone can explore.
Data Collection
Self-serve collection at scale: customers upload bills and standardized data, which is normalized for programs, audits and analytics.