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Nextnet has raised $1.0M across 1 funding round.
Key people at Nextnet.
Nextnet has raised $1.0M in total across 1 funding round.
Nextnet develops an artificial intelligence platform specifically designed for life sciences research, streamlining the complex process of scientific discovery. Its core offerings include Nextnet Copilot, an AI assistant, and Nextnet Explorer, which provides connected knowledge search capabilities. The platform leverages a proprietary semantic web to unify vast amounts of biomedical data, enabling researchers to efficiently search, collaborate, learn, and curate information.
The company was founded in late 2020 by Steven Banerjee, Jason Collins, Malik Alimoekhamedov, and Dr. Derek Park. Their foundational insight stemmed from the critical need to organize, integrate, and make globally accessible the ever-expanding volume of scientific knowledge. This vision aimed to overcome fragmentation and empower research teams with a unified data environment.
Nextnet’s product serves a diverse user base, including individuals, biotech startups, academic institutions, pharmaceutical companies, and enterprise organizations within the life sciences and healthcare sectors. The company’s overarching mission is to accelerate scientific insights and unlock new possibilities by providing a trusted AI companion that facilitates seamless discovery, visualization, and sharing of critical research.
Nextnet is a life sciences AI platform designed to accelerate research for individuals, biotech startups, and teams by providing AI-powered research assistants (Copilot) and a connected knowledge search engine (Explorer).[2][4] It serves researchers, biotech companies, academic labs, and pharma partners, solving the problem of inefficient literature review and knowledge discovery across vast biomedical datasets by unifying the world's biomedical data into a semantic web that delivers evidence-backed, hallucination-free answers.[2] The platform enables quick project kickoffs, pinpointing relevant papers in minutes, knowledge gap identification, and collaborative sharing, with thousands of life scientists already using it to save hours monthly and uncover novel connections.[2]
Nextnet blends semantic search with generative AI tailored for biomedicine, acting like "ChatGPT for Life Sciences" but grounded in proprietary data unification, fostering durable institutional memory without needing full data teams.[2] Its growth momentum is evident in user testimonials highlighting transformations in research processes and rapid adoption among global life scientists.[2]
Nextnet was founded by Steven Banerjee (CEO), alongside co-founders Jason Collins (Head of Product & Growth), Malik Alimoekhamedov (Head of Engineering), and Derek Park, PhD (Head of Data & Science), who brought expertise in computer science, bioinformatics, software engineering, and data science from top institutions.[4] The team is supported by leaders like Valeriya Kalkina (Head of Brand Marketing), Oleh Tymoshenko (Product Designer), and advisors including scientific experts (e.g., Cassian Yee, MD; Michael Fenn, PhD) and industry veterans from pharma and biotech.[4]
While exact founding details are not specified, the platform emerged to address pain points in life sciences research, evolving from the need for a unified semantic web of biomedical knowledge amid exploding scientific data volumes.[2][4] Early traction stems from its utility in scanning millions of articles—replacing weeks of PubMed searches with days of AI-assisted discovery—drawing backing from top institutional investors and a robust advisory board.[2][4]
Nextnet rides the AI-for-science wave, particularly in life sciences, where generative AI meets exploding biomedical data (e.g., millions of papers yearly), enabling faster R&D amid drug discovery bottlenecks.[2] Timing is ideal post-ChatGPT era, as generic LLMs hallucinate on specialized science, while Nextnet's semantic unification delivers precise, connected insights—capitalizing on market forces like biotech funding surges and demands for efficient knowledge platforms.[2]
It influences the ecosystem by democratizing high-end research tools for startups (replacing data teams) and individuals, fostering collaborations between academia, biotech, and pharma, and accelerating innovation in drug development and personalized medicine.[2][4] As AI platforms specialize vertically, Nextnet positions life sciences R&D as more agile, potentially shortening timelines from years to months.
Nextnet is poised to dominate as the go-to AI knowledge platform for life sciences, expanding from individual researchers to enterprise-scale biotech/pharma adoption with features like advanced collaboration and co-development tools.[2][4] Trends like multimodal AI integration, real-time data ingestion from new studies, and regulatory pushes for faster drug approvals will propel it, especially as semantic tech scales to predictive modeling.
Its influence may evolve into a full R&D stack, bridging discovery to validation, backed by its elite team and investors—ultimately redefining how science scales sustainably, much like it promises for brands in adjacent digital growth narratives.[1][2][4]
Key people at Nextnet.
Nextnet has raised $1.0M in total across 1 funding round.
Nextnet's investors include DeNA, Village Global, Ivan Markman.
Nextnet has raised $1.0M across 1 funding round. Most recently, it raised $1.0M Seed in May 2023.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| May 1, 2023 | $1M Seed | — | DeNA, Village Global, Ivan Markman | Announced |
