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.

a circular object with a lot of different things on it

Law

Coding

Medical

Languages

Creative Disciplines

STEM

Accounts & Finance

a circular object with a lot of different things on it

Law

Coding

Medical

Languages

Creative Disciplines

STEM

Accounts & Finance

a circular object with a lot of different things on it

Law

Coding

Medical

Languages

Creative Disciplines

STEM

Accounts & Finance

Mission & values

Were 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

Were 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

Were 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

0K+

0K+

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.

Close-up of a dark green leaf showing its textured surface and central vein against a muted background.
a cell phone with a lot of green dots on it
a close up of a bunch of glass objects
A smiling woman with her arms crossed, standing against a dark green background. She has long, dark hair.
Close-up of a dark green leaf showing its textured surface and central vein against a muted background.
a crystal vase with pink flowers in it
a group of different colored objects floating in the air
a cut in half picture of a building with blue and red arrows
Close-up of a tree stump showing growth rings and a textured brown wood surface.

Building or testing an AI system?

Reach out to discuss pilots, evaluation workflows, red teaming, or dataset creation tailored to your use case.

Close-up of a dark green leaf showing its textured surface and central vein against a muted background.
a cell phone with a lot of green dots on it
a close up of a bunch of glass objects
A smiling woman with her arms crossed, standing against a dark green background. She has long, dark hair.
Close-up of a dark green leaf showing its textured surface and central vein against a muted background.
a crystal vase with pink flowers in it
a group of different colored objects floating in the air
a cut in half picture of a building with blue and red arrows
Close-up of a tree stump showing growth rings and a textured brown wood surface.

Building or testing an AI system?

Reach out to discuss pilots, evaluation workflows, red teaming, or dataset creation tailored to your use case.

Close-up of a dark green leaf showing its textured surface and central vein against a muted background.
a cell phone with a lot of green dots on it
a close up of a bunch of glass objects
A smiling woman with her arms crossed, standing against a dark green background. She has long, dark hair.
Close-up of a dark green leaf showing its textured surface and central vein against a muted background.
a crystal vase with pink flowers in it
a group of different colored objects floating in the air
a cut in half picture of a building with blue and red arrows
Close-up of a tree stump showing growth rings and a textured brown wood surface.