Case Studies

Egocentric Data for a Robot Foundation Model
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Lab-grade first-person manipulation data, RLDS-ready

Egocentric Data for a Robot Foundation Model

A frontier robotics team needed diverse egocentric manipulation data to pretrain a cross-embodiment VLA. Tbrain ran the EgoKit factory pack across home, market, and workshop environments, synchronized capture against a hardware clock, auto-filtered broken demonstrations with AI-native QC, and delivered everything in RLDS / LeRobot format.

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Real-World Video to Ground a World Model
Diverse, action-labeled video synthetic data can't fake

Real-World Video to Ground a World Model

A world-model lab trained on game and simulated environments needed real, action-paired video to anchor its predictions in physics. Tbrain supplied long egocentric sequences from East-Asian kitchens, markets, and workshops — with synchronized action labels and language captions — as ground truth for sim-to-real transfer.

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Teleop Cold-Start for a Manipulation Startup
Fast, QC'd demos to bootstrap a new task

Teleop Cold-Start for a Manipulation Startup

A mid-tier robotics startup needed cold-start data for a new manipulation task without standing up a collection org. Tbrain delivered pre-QC'd teleoperation and UMI demonstrations, plugged directly into the customer's training pipeline in days, exported to LeRobot.

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Evaluation and Benchmarks for Agents
Delivering enterprise-grade AI agents at unprecedented speed

Evaluation and Benchmarks for Agents

A global enterprise engaged Tbrain to stand up 6 domain-specific Q&A agents and a practical evaluation framework. We delivered production-grade agents grounded in authentic, approved knowledge in just 1 month from kickoff to handoff.

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High-Accuracy CAD Annotation and Review Project
Delivering mission-critical data for AI-powered manufacturing intelligence

High-Accuracy CAD Annotation and Review Project

Tbrain partnered with a leading AI-powered manufacturing company to process and review 500 complex CAD drawings across 15 annotation fields within a strict 30-day delivery window.

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Scalable Multimodal Data Labeling for Advanced GenAI Training
Creating 48,000 complex visual prompts across 7 scientific disciplines

Scalable Multimodal Data Labeling for Advanced GenAI Training

Scaled from zero to 48,000 high-quality visual prompts in 4 months across chemistry, biology, medical sciences, mathematics, physics, engineering, and economics.

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