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Overshoot makes AI models run faster and cheaper on your hardware.
Serving engines like vLLM and SGLang were designed for the average workload. This results in most deployments being extremely inefficient, especially around throughput (hence cost).
We profile your workload on your hardware, then build a custom deployment image tuned to the metrics you care about, within the quality limits you set.
You only pay if we meet the performance target we agree on.
Co-founder and CEO of Overshoot. Prior to this, Zakaria spent 7 years building pricing algorithms at Uber and writing GPU kernels at Meta AI. Won 3 prominent AI hackathons. Built and sold a software product while in grad school at MIT. He graduated top of his class at the London School of Economics. Likes to nerd out on anything inference and VLM / video understanding.
Ex-Intel Computer Vision AI Frameworks Engineer. CTO of Overshoot. Building the platform for realtime vision powered by LLMs.
Founded 2025 · Source
Source-based assessment · automated evidence rules
The retained text does not establish product availability or customer use.
Maturity is an evidence-based assessment, not a success rating. It may understate the current stage where evidence is limited. Coverage records documented areas, not a complete or independently audited company history.
Give your agent an inbox of its own. AgentMail is the email infrastructure built for AI agents: send, receive and act on email at scale.
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Compresr is an LLM context-compression API: send long context plus your query, get back a shorter context that keeps the answer-bearing tokens and drops the rest. Cut token cost and latency; at light compression, match or beat…
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