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Training data & consulting

Train your models. Build what comes next.

Explore curated external dataset sources for egocentric activity, robotics, audio, images, and language. Discuss custom collections and synthetic examples for gaps in the available data, or work with us on AI strategy, evaluation, and technical decisions.

01Enterprise data & custom datasets

Explore curated dataset sources and scope custom collections for activity understanding, robotics, and world models.

Browse curated datasets

01Enterprise data & custom datasets

Egocentric activity, audio & vision

First-person video, audio context, activity labels, and object annotations for models that understand what people are doing. Explore external sources or discuss a permissioned custom collection.

02Enterprise data & custom datasets

Robotics models

Discuss demonstrations, action and state records, and robot outcomes for your target tasks. We’re also planning synthetic collections in which simulated robot arms repeat captured human actions.

03Enterprise data & custom datasets

World models

Training datasets for world models that learn about environments and how they change. Discuss your model’s focus and the scenarios you need represented.

02AI strategy

Define where AI could help, what it would require, and whether it is the right approach for your organization.

01AI strategy

Use-case assessment

Examine a workflow, the available data, and the constraints to identify useful applications and their limitations.

02AI strategy

Build or buy

Compare existing tools, model providers, and custom approaches against your requirements and operating costs.

03AI strategy

Adoption planning

Define a practical sequence of experiments, review points, and responsibilities before committing to a larger investment.

03Evaluation & prototyping

Test a technical idea against a specific task. Use the evidence to decide what to pursue, change, or stop.

01Evaluation & prototyping

Model evaluation

Design task-specific comparisons that consider quality, failure cases, latency, and cost.

02Evaluation & prototyping

Feasibility prototypes

Build a focused proof of concept to investigate an assumption before planning a production system.

03Evaluation & prototyping

Assistants and agent workflows

Explore how models could use your information and tools, with clear boundaries and human review where needed.

04Technical advisory

Get an independent technical perspective on AI architecture, integration decisions, and work already underway.

01Technical advisory

Architecture review

Review system design, model dependencies, data flows, and operational tradeoffs against your intended use.

02Technical advisory

Integration planning

Map how an AI capability would fit your existing systems, including access controls, monitoring, and handoff.

03Technical advisory

Technical decision support

Work through vendor proposals, cost assumptions, and engineering priorities with your team.

Next step

Discuss an AI challenge.

Start with a free 15-minute introductory call with Revanth. We’ll discuss your training data needs or AI challenge and how Matha Labs can help.