Bluenote’s mission is to carry life-saving medicines, medical gadgets, and diagnostics to sufferers & clinicians sooner by streamlining regulatory and compliance workflows.
Bluenote introduced $10M in financing for its generative AI platform for all times sciences corporations. Co-founders Fatima Sabar and Katsuya Noguchi have been early executives at Shade Well being. The crew brings greater than a decade of expertise constructing AI instruments for all times sciences and healthcare.
The spherical is led by Lux Capital, with participation from Elad Gil, Anthropic & Menlo Ventures Anthology Fund, McKesson Ventures, Avichal Garg/Electrical Capital, Moxxie Ventures, Carbon Silicon Ventures, and leaders in AI and life sciences – Othman Laraki (CEO Shade Well being), Fidji Simo (CEO Instacart, Co-founder Metrodora Institute, OpenAI Board), Mike Nohaile (CEO Prellis Biologics, beforehand Amgen & Novartis Govt), Kristen Fortney (CEO BioAge), Eric Morgen (COO BioAge), Qasar Younis (CEO Utilized Instinct), Linus Upson (Verily), and Jeffrey Low (Life sciences investor).
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“At Lux, we fund companies that flip science fiction into truth. Bluenote is enabling precisely that kind of breakthrough innovation—leveraging innovative AI to radically scale back the overhead and handbook workflows to carry pharmaceutical merchandise into the fingers of sufferers sooner,” stated Deena Shakir, Common Companion at Lux Capital. “The crew represents inimitable {industry} experience and technical sophistication, and their traction and excessive reward from clients converse for itself.”
Bluenote’s Generative AI Know-how Platform Streamlines Regulatory & Compliance Workflows
Firms within the life sciences {industry} are closely regulated, and wish to take a position vital time and assets to meet their regulatory and compliance obligations. Whereas the regulatory framework is in place to make sure affected person security, scientific efficacy, and constant product high quality, the work required to supply compliance documentation is time-consuming and largely handbook. Following a scientific trial’s completion, corporations sometimes spend 8-9 months making ready regulatory submissions1. Throughout the {industry}, 1000’s of scientists, engineers, and growth professionals spanning a number of capabilities – analysis, scientific, manufacturing, regulatory and high quality – dedicate vital time to supply 1000’s of pages for regulatory filings and handle advanced interdependencies between protocols, technical stories and compliance necessities. This time may as an alternative be redirected in direction of scientific analysis and product growth to carry new breakthroughs to sufferers.
Bluenote has developed a generative AI know-how platform for all times sciences corporations to streamline regulatory workflows and produce their breakthroughs to sufferers sooner. In the present day, the platform’s most generally used purposes give attention to producing regulatory filings, technical stories, protocols, Customary Working Procedures (SOPs), validation stories, threat analyses, manufacturing documentation and extra. Bluenote has deployed 15+ purposes for scientists, engineers, high quality, regulatory and manufacturing groups. Bluenote has developed fine-tuned fashions which can be 90% most well-liked over off-the-shelf fashions. The corporate is quickly increasing the variety of purposes on its platform.
Bluenote is Rising the Accuracy, Reliability & Timeliness of Regulatory Filings, and Serving to Firms Speed up Time to Market
“Throughout the healthcare {industry}, we face in depth regulatory necessities and documentation that should adhere to quite a few tips and regional legal guidelines. At Guardant Well being, now we have been happy with Bluenote’s generative AI capabilities to streamline these time-intensive and complicated duties—starting from scientific analysis papers, examine stories, and software program growth documentation vital to regulatory filings,” stated Kenny Speer, Vice President, Bioinformatics and Software program Engineering at Guardant Well being. “Bluenote’s know-how not solely helps the accuracy, reliability, and timeliness of our documentation, but in addition flags areas that want human-in-the-loop evaluation. This heightened confidence in our submissions finally improves completeness, reduces time-to-market, and helps higher affected person care outcomes.”
“Firms spend an inordinate period of time and assets producing 1000’s of pages for regulatory filings. A whole bunch of individuals are concerned throughout R&D, scientific, manufacturing, regulatory,” stated Mike Nohaile, CEO of Prellis Biologics, and beforehand govt at Amgen and Novartis. “Each week a course of growth scientist spends on documentation is per week they don’t seem to be optimizing the drug product. You need your scientific groups targeted on opening examine websites, not filling in regulatory filings. Now corporations can automate this time-intensive work with Bluenote, and give attention to vital growth actions.”
“Life sciences leaders are transferring shortly to deploy generative AI throughout dozens of workflows. On this {industry}, each day counts. Every day a breakthrough remedy or machine will not be within the fingers of clinicians and sufferers is a misplaced alternative to save lots of lives,” stated Fatima Sabar, Bluenote Co-founder & CEO. “Bluenote’s AI brokers are being built-in into laborious workflows to speed up time to market and improve operational excellence.”
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Bluenote has Developed a Safe Generative AI Platform that’s Tailor-made to the Life Sciences Trade:
- Accuracy and verifiability of AI outputs
- Bluenote’s product is engineered to incorporate solely factual particulars from traceable main sources, combining guardrails with customized Giant Language Fashions (LLMs), and inserting call-to-action placeholders for human reviewers to supply particulars the place further context is required.
- Custom-made outputs by way of proprietary datasets, connectivity to knowledge lakes & a multi-model method
- Bluenote developed domain-optimized Retrieval-Augmented Technology (RAG) that ingests knowledge from varied knowledge lakes and third occasion purposes, precisely processes the datasets, together with industry-specific edge circumstances, and indexes them to assist distinctive software necessities.
- Bluenote finds that there isn’t any one-size-fits-all mannequin, and as an alternative, combines one of the best fashions from Anthropic, OpenAI, Google, and its personal fine-tuned fashions primarily based on proprietary datasets. With new fashions often getting into the market, Bluenote constantly evaluates and updates mannequin configurations to make sure that clients are among the many first to profit from the most recent advances.
- Single, safe platform that powers a number of workflows and capabilities
- There are compounding advantages to having a single platform operating AI purposes as an alternative of a number of distributors for every. The identical proprietary information base is used for a number of purposes. The outputs from one workflow turn out to be inputs into one other, enabling the propagation of adjustments. As well as, clients want to consolidate their proprietary knowledge inside a single, safe atmosphere for simplicity.
With the brand new financing, Bluenote is quickly increasing its platform to assist further mission-critical, time-intensive workflows, and enabling life sciences corporations to carry their breakthroughs to sufferers sooner.
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