We build what
frontier AI needs
Data built through real people, real environments and domain expertise for AI systems across physical AI, medical, voice and other specialized applications.
How we 2une
Data gets you started.
Expertise gets you further
AI systems need different kinds of data depending on what they are being built to do. We bring together the people, environments and processes needed to collect, annotate and validate that data.
- Real people
Trained contributors and domain specialists working against the requirements of the task. - Real environments
Studios, workplaces, clinical settings and physical spaces configured for data collection. - Domain expertise
Specialist knowledge built into collection, annotation and quality control.
What we build
Specialised data across domains, modalities and environments.
Physical AI
Capture and process real world human activity and interaction for physical AI systems.
Medical
Medical data and specialist annotation across imaging, text, video and clinical workflows.
Voice
Speech datasets built around languages, accents, speakers, conversations and recording conditions.
Coming soon
Vision & Documents
Structured visual data for systems working with complex information in the documents people use every day.
Coming soon
Code & Agents
Training and evaluation data for systems that interact with software, follow workflows and complete tasks on their own.
Coming soon
Expert Reasoning
Human generated data for systems that need to work through complex problems and make decisions against specialist standards.
The infrastructure behind the work
Why us
2une operates within the PhysicsWallah ecosystem, with access to trained people, physical environments, studios and operational infrastructure across India.
Qualified specialists for medical annotation
300+
Physical infrastructure across the ecosystem
400+
Environments for physical world data collection
2,000+
Indic language coverage across text and voice
22+
Have a requirement?
Tell us what you need to build. We will work with you on the data, people and environments required.