Applied Compute, a company founded by former OpenAI researchers, has exited stealth with $80 million in funding and a clear mission: to build what it calls “Specific Intelligence” for enterprises. The funding round, backed by Benchmark, Sequoia, Lux, Hanabi, Neo, Elad Gil, Victor Lazarte, Omri Casspi, and others, values the company at close to $700 million, according to people familiar with the deal.
The company’s thesis is that while general-purpose models such as GPT-4 have proven highly capable, they create generalist agents that are useful but lack a competitive edge. Applied Compute argues that the next phase of AI adoption will be defined by agents designed for a specific company, trained on its own data, and fine-tuned for its workflows.
“We build Specific Intelligence,” the company said in its announcement. “That means unlocking a company’s latent knowledge, training custom models, and deploying in-house agent workforces that are owned and directed by the enterprise itself.”
