Prompt and Context Optimization for Coding Agents
Choose a coding agent harness, model, and task dataset and optimize context and prompts to get the best performance for long-horizon tasks
What they do:
Reinforcement Learning (RL) for AI Agents
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HQ: San Francisco, CA, United States
What they do:
Autonomously scaling environments
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HQ: San Francisco, CA, United States
What they do:
Earned intelligence for every company
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HQ: San Francisco, CA, United States
What they do:
Continual Learning for Agents
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HQ: San Francisco, CA, United States
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Specialized AI for Critical Industries
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HQ: San Francisco, CA, United States
What they do:
We find flaws in RL environments and evals and help you fix them.
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HQ: San Francisco, CA, United States
Prompt and Context Optimization for Coding Agents
San Francisco, CA, United States
2 employees, according to the company profile.
There are no funding rounds for Synth in our data.
Similar startups: Osmosis, Vibrant Labs, and Riften.