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Machine Bio is at the forefront of the biotechnology revolution, harnessing the power of artificial intelligence and machine learning to decode complex biological systems. Our mission is to accelerate scientific discovery and develop transformative therapies and diagnostic tools for challenging diseases. By integrating cutting-edge computational techniques with deep biological expertise, we aim to create a healthier future through data-driven innovation. We focus on developing platforms that can analyze vast biological datasets to identify novel drug targets, optimize therapeutic candidates, and personalize patient treatments.
Our Cambridge headquarters serves as the central nexus for research and development, AI model creation, strategic partnerships, and corporate operations.
The facility boasts advanced BSL-2 laboratories co-located with high-performance computing infrastructure, fostering seamless collaboration between our wet-lab and computational teams. It includes open-plan workspaces designed to encourage interdisciplinary interaction.
Machine Bio cultivates a dynamic, intellectually stimulating, and collaborative work environment. We value curiosity, rigor, and a shared passion for solving complex scientific problems. Employees experience a culture of continuous learning and impact-driven research.
Located in the heart of the Cambridge biotech ecosystem, our HQ offers unparalleled access to world-class academic institutions, talent, and a vibrant network of potential collaborators and industry leaders.
While our primary R&D and corporate functions are centered in the USA (Cambridge, MA and South San Francisco, CA) and the UK (Oxford), Machine Bio actively engages in global collaborations. Our cloud-based AI platforms and data analysis services support international research projects, and we partner with academic institutions and pharmaceutical companies worldwide to advance our mission. We are also exploring strategic expansions into key Asian markets to support clinical research and data science initiatives.
1 Kendall Square, Bldg 200, Suite 405
Cambridge
MA
USA
Address: 700 Gateway Blvd, Suite 150
To leverage the rich talent pool and innovation ecosystem of the San Francisco Bay Area, particularly for AI engineering and collaborations with Pacific Rim partners.
Address: Oxford Science Park, Schrödinger Building, Office 3.1
To expand our research network, tap into European scientific talent, and facilitate clinical development in Europe.
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As of April 2025, Machine Bio' leadership includes:
Machine Bio has been backed by several prominent investors over the years, including:
Over the past year, Machine Bio strengthened its leadership by appointing a new Chief Business Officer and saw its long-serving Head of AI Research transition to an advisory role upon retirement.
Discover the tools Machine Bio uses. Highperformr reveals the technologies powering your target accounts — helping your sales, marketing, and GTM teams prioritize smarter and close faster.
Machine Bio primarily utilizes the email format combining the first initial with the last name. For common names, a middle initial or full first name might be used.
[first_initial][last_name]@machine-bio.example.com (e.g., evance@machine-bio.example.com)
Format
evance@machine-bio.example.com
Example
92%
Success rate
BioIT World • May 15, 2024
Machine Bio shared promising preclinical results for its lead oncology candidate, discovered using its proprietary AI platform 'PathFinderAI', demonstrating significant tumor regression in models. The data was presented at the American Society of Clinical Oncology (ASCO) annual meeting....more
Endpoints News • February 28, 2024
Machine Bio announced the closure of a $60 million Series B financing round co-led by Digital Biology Fund and Catalyst Innovations. The funding will be used to advance its lead programs into clinical trials and further develop its AI discovery engine....more
Nature Biotechnology Briefing • November 10, 2023
Machine Bio and NeuroGen Corp have partnered to apply Machine Bio's AI platform to identify novel biomarkers and develop diagnostic tools for early detection of diseases like Alzheimer's and Parkinson's....more
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