data-operations
(5)
Crystal Equation makes the case for a better middleman
The staffing firm pairs technical recruiting with the less glamorous work of keeping people and data operations running. Its most useful lesson: a good introduction is only the beginning.
Enterprise Data and AI Operations Makes AI Clock In
The model is rarely what keeps an AI pilot from becoming daily work. The missing layer is the data foundation, workflow engineering and round-the-clock operational discipline that makes intelligence dependable.
Invisible Lost $10,000 on Every Client. Then It Built the AI Assembly Line Enterprises Actually Buy
A failed executive-assistant service taught Invisible Technologies the lesson now haunting corporate AI: the model is rarely the whole problem. Its answer is a five-part platform that cleans the data, maps the work, recruits the experts, tests the model and puts agents into production.
Nexla
Nexla is a unified data operations platform that turns fragmented enterprise data into AI-ready data products - called Nexsets - so analysts, engineers, and AI agents can integrate, transform, and govern data without writing code.
Saket Saurabh
Saket Saurabh is the co-founder and CEO of Nexla, an AI-powered data integration platform built for the age of generative AI. A serial entrepreneur who started as an engineer at NVIDIA — where he worked on GPU tech for the PlayStation 3 and automotive computing — he went on to co-found Mobsmith, a mobile ad-serving startup that was acquired by Rubicon Project (NYSE: RUBI). Armed with a BTech from IIT Kanpur and an MBA from The Wharton School, Saket founded Nexla in 2016 to automate the hardest parts of data engineering, earning recognition as a 2021 Gartner Cool Vendor and landing enterprise customers like DoorDash, Johnson & Johnson, and American Express. Nexla has raised $33.5 million in funding.