
Cosine has secured $2.5 million seed funding round led by Uphonest, and SOMA Capital, with participation from Lakestar, and Focal, and others.
SUMMARY
- Cosine has secured $2.5 million seed funding round led by Uphonest, and SOMA Capital, with participation from Lakestar, and Focal, and others.
- Founded in 2022 by Alistair Pullen, Sam Stenner, and Yang Li.
Cosine's vision is to codify human reasoning and apply it to hard problems. The first such problem is software engineering. Cosine started because 3 friends were curious to see how far they could push Davinci-2; each iteration they were candid about the knowns and unknowns but remained maximally enthusiastic, optimistic, and curious about what comes next. Finally, the technology has matured enough to ship vision.
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“Our breakthrough in codifying human reasoning is allowing us to train AI models to operate far beyond the narrow range of tasks and tightly restricted prompts currently available to teams developing software.” said Cosine CEO, Alistair Pullen.
“Cosine is not just improving AI; they’re fundamentally teaching AI to reason, providing companies with a true AI colleague”, said Ellen Ma, Partner at Uphonest Capital. “I’ve seen thousands of AI startups and no one has managed to capture human reasoning like Cosine. Genie is proof that their vision, strategy and team is perfect to get us closer to AGI”, said Ben Tossell, Founder of Ben’s Bites.
“We are focused on creating a colleague, not a co-pilot” said Sam Stenner, CIO at Cosine. “After we figured out how to generate data sets that codify human reasoning which can then be used to train LLMs, we knew the potential for what we had built and worked with OpenAI to fine tune their largest context window LLMs. We’re confident we now have the capabilities to consistently beat our own top score”.
About Cosine
Founded in 2022 by Alistair Pullen, Sam Stenner, and Yang Li. Cosine is the first company in the world that can train human reasoning into any AI model through proprietary synthetic data generation and unique AI finetuning methodologies.
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