Varun Sharma’s Response to Data Trapped in Silos
People tracked everything, but the why was missing.
Deployed's enterprise AI reporting on Scale AI.
People tracked everything, but the why was missing.
Mercor’s comment about a potential IPO comes at a time when few AI infrastructure startups have publicly raised the possibility.
We spend a lot of time thinking about the experience of contributors. The goal is to make it clear what is expected, provide fair rewards, and maintain consistent quality.
Heading into 2026, AI agents will shift from experimental tools to essential enterprise partners, driving automation and predictive workflows that boost productivity.
Uber expands their playbook and steps into Enterprise AI with data labeling.
The AI startup sharpens its strategy, streamlining teams while doubling down on core data services.
Our mission is to give organizations the human data capabilities they need to operate efficiently and at scale.
Meta’s fourth AI reorganization in six months raises real questions
If this was the team entrusted with Scale’s most ambitious AI initiatives, why were they the first to be cut just weeks after a record-setting investment?
It’s not that Linear doesn’t work for enterprise—it’s that some teams weren’t ready. Now they are.
Voice is how AI enters the real world.
Some of the most aggressive and promising AI startups are being built not inside college campuses, but in spite of them.
The AI community is on a spree to start the most innovative startup and it is getting really competitive.