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AI-driven stock market researcher Nosible secures $1 million in pre-Seed funding
This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author. The funding will support NOSIBLE in launching its growth marketing efforts, scaling its sales operations, and accelerating its go-to-market strategy. Founded by Stuart
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NOSIBLE garners $1 million in pre-seed funds By Investing.com
SAN FRANCISCO, CA AND NEW YORK, NY - NOSIBLE, an AI startup, announced today that it has raised $1 million in pre-seed financing. The round was led by Atlantica Ventures with contributions from strategic investors, including existing customers. The capital injection is earmarked for the launch of
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NOSIBLE, an AI startup specializing in stock market research, has raised $1 million in pre-seed funding. The company's innovative approach to AI-powered search technology promises to revolutionize asset management and financial analysis.

NOSIBLE, an AI-driven stock market research startup, has successfully secured $1 million in pre-seed funding. The round was led by Atlantica Ventures, with additional contributions from strategic investors, including existing customers
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. This financial boost will support NOSIBLE's growth marketing efforts, scale its sales operations, and accelerate its go-to-market strategy.At the heart of NOSIBLE's innovation is a groundbreaking solution to one of AI's most challenging puzzles: approximate nearest neighbors. Founded by Stuart Reid, a computer scientist and quantitative analyst, and Matthew Dicks, a founding engineer, NOSIBLE has developed a technology that significantly reduces the cost of large-scale search functions in AI
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.The company claims its solution is 100 times cheaper than the current state-of-the-art in large-scale search. NOSIBLE's index operates at 1/100th the cost of current methods and uniquely supports real-time hyperparameter tuning, allowing it to dynamically adapt to more complex searches
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.Stuart Reid, Founder and CEO of NOSIBLE, stated, "Our discovery changes the AI equation. Our index operates at 1/100th the cost of current methods and uniquely supports real-time hyperparameter tuning, allowing it to dynamically adapt to more complex searches - similar to how OpenAI pioneered the use of test-time compute."
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NOSIBLE has launched nosible.ai, a platform hosting hyperspecialized AI agents designed to automate labor-intensive tasks in asset management. Unlike generalized "God models" popularized by large AI labs, each nosible.ai agent focuses exclusively on performing one task exceptionally well, improving continuously through extensive search interactions
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.The company's core thesis is straightforward: the more its AI agents search, the smarter they become. For instance, its research agent can quickly analyze data in minutes, which traditionally requires 20 hours
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Joining NOSIBLE as an advisor is industry veteran Axel Hörger, who brings nearly three decades of experience in executive leadership roles at leading financial institutions, including Lombard International, UBS, and Goldman Sachs. Hörger's extensive network and expertise in capital markets and next-generation digitalization are expected to be pivotal in accelerating NOSIBLE's influence
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.Ik Kanu, Founding Partner at Atlantica Ventures, commented on their investment: "We invested in NOSIBLE because we saw a small, focused team that was deeply knowledgeable in quantitative finance, ML, and computer science, building their own infrastructure to power a low-cost, agentic platform with intelligent workflows."
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NOSIBLE's innovation has the potential to reshape AI analytics entirely. By drastically reducing the cost of web-scale search, the company believes its agents will deliver significantly deeper insights to asset managers
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.Reid concludes, "nosible.ai agents empower asset managers to do the impossible. With lower search costs, our agents can deliver unprecedented analytical depth."
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As NOSIBLE continues to develop its technology and expand its reach, it is poised to set new standards for web-scale search and pave the way for future innovations in AI-driven financial analysis and asset management.
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