Poetiq

Poetiq is building a self-improving inference-time reasoning system for last-mile LLM needs in businesses. Poetiq Poetiq is led by Shumeet Baluja and Ian Fischer. Prior to Poetiq, Shumeet and Ian spent the bulk of their careers as AI researchers at Google / DeepMind. Who is the CEO of Poetiq? Can you share a little bit about Poetiq? Winning in this market requires top LLM research talent with business acumen to find product-market fit. The Poetiq team fits the bill given it is comprised of DeepMind researchers with 100+ patents and 2x prior IPOs. What makes this team special? How does the product solve customer problems? Most organizations lack the resources to customize LLM reasoning to their needs. Poetiq solves this by injecting task-specific reasoning logic at inference-time – this implementation is quick, cost-efficient, does not require customers to have technical expertise, and is accessible via a simple API. Poetiq is a first mover in providing inference-time reasoning. Unlike finetuning and reinforcement learning, inference-time reasoning uses task-specific thinking strategies, generalizes across tasks proficiently, and is resource-efficient in improving reasoning performance. What differentiates the product? What attracted you to the
market?
Inference-time reasoning provides a step-function improvement in reasoning performance for business use cases. Despite its potential to accrue value on par with LLMs, we were excited to learn that the technology is likely orthogonal and complementary to the roadmaps of LLM developers. How can I get in touch with Poetiq? Please feel free to reach out to
Shumeet Baluja and Ian Fischer over
Akul Penugonda over Linkedin
Akul Penugonda over Linkedin
Akul Penugonda over Linkedin
Please feel free to reach out to
Akul Penugonda over
Please feel free to reach out to
Akul Penugonda over
Please feel free to reach out to
Akul Penugonda over
[email protected]

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Poetiq

            is building a self-improving inference-time reasoning system for last-mile LLM needs in businesses. Poetiq is led by Shumeet Baluja and Ian Fischer. Prior to Poetiq, Shumeet and Ian spent the bulk of their careers as AI researchers at Google / DeepMind. Who is the CEO of Poetiq? Can you share a little bit about Poetiq? Winning in this market requires top LLM research talent with business acumen to find product-market fit. The Poetiq team fits the bill given it is comprised of DeepMind researchers with 100+ patents and 2x prior IPOs. What makes this team special? How does the product solve customer problems? Most organizations lack the resources to customize LLM reasoning to their needs. Poetiq solves this by injecting task-specific reasoning logic at inference-time – this implementation is quick, cost-efficient, does not require customers to have technical expertise, and is accessible via a simple API. Poetiq is a first mover in providing inference-time reasoning. Unlike finetuning and reinforcement learning, inference-time reasoning uses task-specific thinking strategies, generalizes across tasks proficiently, and is resource-efficient in improving reasoning performance. What differentiates the product? What attracted you to the market? Inference-time reasoning provides a step-function improvement in reasoning performance for business use cases. Despite its potential to accrue value on par with LLMs, we were excited to learn that the technology is likely orthogonal and complementary to the roadmaps of LLM developers. How can I get in touch with Poetiq? Please feel free to reach out to
Shumeet Baluja and Ian Fischer over
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Bow Capital Management, LLC (“Bow Capital”) is an independent investment adviser that is not affiliated with Hico Ventures. Bow Capital has not prepared, and is not responsible for, the contents of this site.

Legal

Bow Capital Management, LLC (“Bow Capital”) is an independent investment adviser that is not affiliated with Hico Ventures. Bow Capital has not prepared, and is not responsible for, the contents of this site.