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Platform for custom AI training, inference, and improvement
appliedcompute.comLast updated
In short: Applied Compute raised $350 million at a $3.25 billion valuation and launched its AC2 platform for scaling enterprise AI workloads.
Partnering with Turbopuffer, the team trains a 35B parameter model to query precomputed indexes, achieving up to 100x lower costs and significantly reduced latency compared to frontier models.
They are recognized in the 2026 Enterprise Tech 30 for promising private enterprise tech companies. Their growth reflects demand for proprietary AI agent workforces.
They release production traces from agentic coding, code QA, and office work use cases with a replay harness to optimize inference engines.
Funding at $1.3 billion valuation led by Kleiner Perkins brings total to $160 million. It supports Specific Intelligence agents for enterprises.
Just 15 months after it founding, Applied Compute is raising $350 million at a $3.25 billion...
Applied Compute, a year-old startup that helps companies run and customize open-source models with their own data, is discussing a new funding round that would...
Applied Computing has secured fresh funding to expand its AI platform for energy operations, supporting international growth, ...
AndroGuider is a blog where you can scoop your daily need of tech information with some dose of special reviews and custom ...
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