The problem ReasoNet solves
Startup founders often struggle to clearly articulate, validate, and refine their ideas. From vague initial concepts to poor communication and expensive validation cycles, the early stages of building a startup are chaotic, inefficient, and error-prone.
Our platform solves this by streamlining and strengthening every critical step in the idea-to-execution journey.
Challenges we ran into
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Model quality wasn’t the issue — SAGE performed well in isolated tests.
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Real challenge began during deployment and integration into the full system.
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Recursive reasoning made debugging complex — we had to trace logic, not just code.
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32B parameter model created infrastructure issues: memory limits, cold starts, and scaling headaches.
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UI-model-human loop was fragile — small UI changes broke model alignment.
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Edge cases (myths, sarcasm, vague inputs) exposed cracks in otherwise solid outputs.
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Introduced reasoning checkpoints and visible trace outputs to catch and fix hidden flaws.
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Spent more time on deployment stability and validation feedback loops than on model training.
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