Company Summary

  • Rilith Rilith
  • Information Technology
  • 1-4 employees
  • Bangalore, India

Company Overviews

The robots being built today are only as good as the data they learn from. At Rilith, that's exactly what we solve.

We curate high-quality, real-world data specifically designed for robot training — built for the hard problems that simulation alone cannot fix.
What we do:

Egocentric video data for industrial and household environments, sourced and delivered to your exact specifications
Sim-to-Real transfer — we deploy in real Indian industrial environments so your robots can learn from the physical world, not just a physics engine
Cross-embodiment data solutions — structured data that generalizes across different robot form factors

What makes us different is our network. We maintain a global database of 100,000 of subject matter experts (SMEs) across multiple countries, enabling us to collect data at scale, with precision, in environments that matter.
We don't sell generic datasets. We work with robotics companies to understand their specific training gaps and deliver data that directly closes them.
If your team is hitting a wall with data diversity, real-world coverage, or embodiment generalization — I'd love to have a conversation.

📩 Reach me at contact@rilith.com or message me directly here.

Rating Reviews

Rating is calculated based on 14 reviews and is evolving.

Featured Reviews

Software Engineer
4.0
22 September 2026
Good tech role with room for process improvement
Pros: The team culture is generally collaborative and supportive, which is great for a remote setup. There's a genuine effort towards professional development, and I've had opportunities to learn new technologies. The work itself is challenging and engaging, fitting well within the fast-paced software development sector. Management is accessible and usually open to feedback, creating a reasonably positive atmosphere.
Cons: Sometimes project priorities can shift rapidly without clear communication, leading to a bit of churn. Documentation could be more robust in certain areas. While flexibility is good, occasional intense periods mean work-life balance can be strained during critical delivery phases. This is common in the tech world, but worth noting.
Advice to Management: Consider implementing more structured communication channels for project scope changes and enhancing internal documentation to streamline onboarding and knowledge sharing for remote teams.
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Software Engineer
4.0
26 April 2026
Fantastic Flexibility and Supportive Culture for Engineers
Pros: As a Software Engineer, the work flexibility is fantastic; it genuinely helps achieve a great work-life balance, which is key in the tech industry. My team is very supportive, and I've found consistent opportunities to learn new skills and contribute to diverse projects. It's a stable and rewarding place to work.
Cons: The main drawback is that some internal approval processes can occasionally be slow, impacting project velocity. Also, cross-team communication could be smoother as the company grows and teams become more distributed.
Advice to Management: Consider reviewing and streamlining internal approval workflows to improve project velocity. Investing in better strategies or tools for cross-functional communication, especially for larger, distributed teams, would also be highly beneficial for efficiency.
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AI Data Collector
4.0
21 July 2026
Solid Remote Work in the AI Data Field
Pros: As an AI Data Collector at Rilith, the remote work flexibility is outstanding, which is crucial for my lifestyle in the United States. I appreciate the variety of projects in the Artificial Intelligence industry, helping me gain experience in data annotation and machine learning. The team environment is generally supportive, and management trusts you to get the work done. The work itself offers a clear purpose, knowing you're building foundational data for AI applications. It's a solid
Cons: While the remote setup is great, sometimes communication can be a bit fragmented, especially regarding project updates or changes in guidelines for specific AI data collection tasks. Career growth paths for AI Data Collectors aren't always super clear, and it feels like you have to really advocate for yourself to move into more advanced roles within the Artificial Intelligence industry. More structured feedback and development opportunities would be a big help. Project availability can
Advice to Management: Focus on improving internal communication channels, especially for remote teams. Provide clearer roadmaps for career progression for AI Data Collectors and offer more structured opportunities for skill development within the Artificial Intelligence industry. Consistent project flow would also greatly help with employee satisfaction and retention.
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