Metric is an AI Research Lab. We are building the world's most accurate document processing foundation model. We're creating a unified intelligence layer that processes any document format with enterprise-grade accuracy and privacy.
Current document AI systems are fundamentally fragmented. Enterprise document processing pipelines resemble a patchwork of isolated solutions: separate models for OCR, layout recognition, information extraction, document classification, and search. This fragmentation creates brittle integrations, inflated costs, and scaling challenges that plague modern enterprises.
We're developing the first family of foundation models designed specifically for document understanding. Our unified approach treats PDFs, images, forms, and structured data as equally important, maintaining consistent real-time performance across diverse enterprise requirements while being efficient enough to run on edge devices.

One Model, All Documents, All Tasks

Instead of cobbling together multiple specialized tools, we deliver a single foundation model that handles the complete spectrum of document AI tasks—from basic OCR to complex information extraction—with enterprise-grade accuracy.
Our models are designed to be small enough for edge deployment while maintaining the accuracy standards that enterprises demand. Privacy-conscious organizations can process sensitive documents without sending data to external APIs.
Whether it's handwritten forms, complex technical diagrams, or structured financial reports, our foundation models understand document context and extract meaningful insights with consistent reliability.

Built for Real-World Impact

Document processing is mission-critical for businesses. Our models are built to handle the complexity and variability of real-world documents, delivering the precision that enterprise workflows require.
We understand that document data is often highly sensitive. Our edge-deployable models ensure that your data stays within your infrastructure while maintaining top-tier processing capabilities.
Replace your fragmented document processing pipeline with a single, powerful foundation model that integrates cleanly into existing enterprise workflows.

Science Meets Engineering

Model intelligence drives everything we do. We're building foundation models at the frontier of document understanding capabilities, combining cutting-edge research with practical engineering to solve real-world problems.
Our approach is empirical and iterative. We measure success by how effectively our models create genuine value in enterprise environments, not just benchmark performance. The most important breakthroughs come from understanding what truly matters in document processing workflows.
We're building the future of document understanding.
If you're interested in joining us, get in touch: hrant@metriclabs.ai
Hrant Davtyan, PhD
Founder & CEO