About us
Our story so far
A team built at the intersection of operations, datasets, and AI evaluation.
Who we are
About GroundTruth
About GroundTruth
GroundTruth was built around a simple belief: AI systems should be tested, understood, and improved before they reach the real world. We bring together hands-on experience in data operations, annotation quality, and model evaluation to help teams build safer, more reliable AI systems. From training data workflows to red teaming and system-level evaluation, we focus on the work that makes AI outputs more dependable in production.
GroundTruth was built around a simple belief: AI systems should be tested, understood, and improved before they reach the real world. We bring together hands-on experience in data operations, annotation quality, and model evaluation to help teams build safer, more reliable AI systems. From training data workflows to red teaming and system-level evaluation, we focus on the work that makes AI outputs more dependable in production.

Law
Coding
Medical
Languages
Creative Disciplines
STEM
Accounts & Finance

Law
Coding
Medical
Languages
Creative Disciplines
STEM
Accounts & Finance

Law
Coding
Medical
Languages
Creative Disciplines
STEM
Accounts & Finance
Mission & values
We’re building for a future where AI systems are more reliable by design
GroundTruth exists to improve the quality of AI systems through better datasets, stronger evaluation, and deeper failure analysis.
Rigorous
We care about precision, clarity, and evaluation quality — because small errors scale fast in AI systems.
Practical
We focus on workflows that teams can actually use in production, not just impressive theory.
Curious
We investigate how models fail, where they break, and what those failures reveal.
Collaborative
We work closely with teams to build workflows, datasets, and evaluations that fit real product needs.
Mission & values
We’re building for a future where AI systems are more reliable by design
GroundTruth exists to improve the quality of AI systems through better datasets, stronger evaluation, and deeper failure analysis.
Rigorous
We care about precision, clarity, and evaluation quality — because small errors scale fast in AI systems.
Practical
We focus on workflows that teams can actually use in production, not just impressive theory.
Curious
We investigate how models fail, where they break, and what those failures reveal.
Collaborative
We work closely with teams to build workflows, datasets, and evaluations that fit real product needs.
Mission & values
We’re building for a future where AI systems are more reliable by design
GroundTruth exists to improve the quality of AI systems through better datasets, stronger evaluation, and deeper failure analysis.
Rigorous
We care about precision, clarity, and evaluation quality — because small errors scale fast in AI systems.
Practical
We focus on workflows that teams can actually use in production, not just impressive theory.
Curious
We investigate how models fail, where they break, and what those failures reveal.
Collaborative
We work closely with teams to build workflows, datasets, and evaluations that fit real product needs.
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Annotators on-demand
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PhD, Subject Matter Experts
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Partnerships with Factories/Retailers/Warehouses
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Egocentric Video Contributors
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Annotators on-demand
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PhD, Subject Matter Experts
0K+
0K+
Partnerships with Factories/Retailers/Warehouses
0K+
0K+
Egocentric Video Contributors
0K+
0K+
Annotators on-demand
0K+
0K+
PhD, Subject Matter Experts
0K+
0K+
Partnerships with Factories/Retailers/Warehouses
0K+
0K+
Egocentric Video Contributors
Team
Meet our founders
Aman Goutam
Founder
Aman brings deep experience across annotation operations, dataset creation, and AI workflow execution. In previous roles, he helped build and scale a 125K+ global annotator network in six months, supporting talent supply for Uber AI Solutions. His experience spans data curation, inverse text normalization, and image/video annotation workflows. At GroundTruth, Aman focuses on evaluation-first datasets, model failure analysis, and practical systems for improving AI reliability.

Mohit Khullar
Co-founder
Mohit brings operational depth and execution discipline to GroundTruth’s delivery systems. He has previously built and led annotation teams delivering 98%+ accuracy for global projects supporting Uber AI Solutions, and has held operational leadership roles across fast-scaling businesses. At GroundTruth, he focuses on scaling processes, maintaining quality, and building dependable workflows for evaluations and training datasets.

Team
Meet our founders
Aman Goutam
Founder
Aman brings deep experience across annotation operations, dataset creation, and AI workflow execution. In previous roles, he helped build and scale a 125K+ global annotator network in six months, supporting talent supply for Uber AI Solutions. His experience spans data curation, inverse text normalization, and image/video annotation workflows. At GroundTruth, Aman focuses on evaluation-first datasets, model failure analysis, and practical systems for improving AI reliability.

Mohit Khullar
Co-founder
Mohit brings operational depth and execution discipline to GroundTruth’s delivery systems. He has previously built and led annotation teams delivering 98%+ accuracy for global projects supporting Uber AI Solutions, and has held operational leadership roles across fast-scaling businesses. At GroundTruth, he focuses on scaling processes, maintaining quality, and building dependable workflows for evaluations and training datasets.

Team
Meet our founders
Aman Goutam
Founder
Aman brings deep experience across annotation operations, dataset creation, and AI workflow execution. In previous roles, he helped build and scale a 125K+ global annotator network in six months, supporting talent supply for Uber AI Solutions. His experience spans data curation, inverse text normalization, and image/video annotation workflows. At GroundTruth, Aman focuses on evaluation-first datasets, model failure analysis, and practical systems for improving AI reliability.

Mohit Khullar
Co-founder
Mohit brings operational depth and execution discipline to GroundTruth’s delivery systems. He has previously built and led annotation teams delivering 98%+ accuracy for global projects supporting Uber AI Solutions, and has held operational leadership roles across fast-scaling businesses. At GroundTruth, he focuses on scaling processes, maintaining quality, and building dependable workflows for evaluations and training datasets.

Building or testing an AI system?
Reach out to discuss pilots, evaluation workflows, red teaming, or dataset creation tailored to your use case.









Building or testing an AI system?
Reach out to discuss pilots, evaluation workflows, red teaming, or dataset creation tailored to your use case.









Building or testing an AI system?
Reach out to discuss pilots, evaluation workflows, red teaming, or dataset creation tailored to your use case.








