- Specialization
Biotechnologyand 1 more specialization valuesLess
- Scientific Discovery
- Business
- Scientific Research
- Market
- Life Sciences
- Ecosystem
- AI for science
- Customers
- Consumers
More details
- Organization type
- Commercial Company
- Ecosystem
- AI for science
- Business
- Scientific Research
- Specialization
- Biotechnology, Scientific Discovery
- Market
- Life Sciences
- Customers
- Consumers
- Delivery models
- Not classified
- Revenue models
- Not classified
- Listing status
- Not classified
- Latest equity round
- Not classified
- Reported funding amount
- Not classified
About
Evolvere BioSciences is developing next-generation antibiotics and biologic therapeutics for human-healthcare treatment markets, ultimately serving patients. Its differentiator is combining AI with co-evolutionary protein-interaction data to forecast bacterial mutations and design antibiotics that target pathogens while sparing beneficial microbes and human cells.
Market
Evolvere competes in antimicrobial-resistance therapeutics and next-generation antibiotic discovery, positioning itself as an early-stage platform biotech that combines evolutionary modeling with generative protein design. Its differentiation is the use of co-evolutionary data and biologic protein therapeutics intended to precisely target pathogens, preserve beneficial microbes and human cells, and reduce the risk of resistance. Competitors overlap in the AMR market but generally use different modalities, including generative-AI antibiotic discovery at Phare Bio, engineered bacteriophages at Locus Biosciences and BiomX, and small-molecule antibiotic programs at Kinvard Bio and VenatoRx.
Best-fit customers are life-sciences drug developers—especially early-stage biotechnology companies and pharmaceutical anti-infective R&D teams—seeking computational protein design or strategic partnerships to create targeted biologic antibiotics. Likely buyers are discovery and translational-science leaders, such as CSOs, heads of R&D, and business-development or licensing teams; this is inferred because Evolvere is described as an early-stage therapeutics platform rather than a commercialized product vendor.
At a Glance
Problem
Evolvere BioSciences addresses antimicrobial resistance: bacteria evolve around existing antibiotics, causing treatments to stop working and forcing society into a costly cycle of repeated drug discovery. The burden is both clinical and economic: bacterial antimicrobial resistance was associated with more than 4.7 million deaths globally in 2021, while unchecked resistance has been estimated to threaten 3.8% of global GDP annually by 2050 and increase healthcare costs from roughly $66 billion to $159 billion.
The central use case is treating serious bacterial infections—especially infections caused by resistant pathogens—without the collateral damage of broad-spectrum antibiotics. Evolvere’s stated goal is to create therapies that precisely target pathogenic bacteria while sparing beneficial microbes and human cells, and that remain effective against the mutations bacteria are likely to develop.
Product / Service
Evolvere combines evolutionary biology, computational models, and AI to design next-generation protein antibiotics. Its approach uses co-evolutionary protein-interaction data to forecast bacterial mutations, then subjects large libraries of antibiotic candidates to iterative mutation and selection for stronger antibacterial activity and reduced resistance. The company describes this as a new modality of protein antibiotic therapy intended to outpace bacterial evolution.
The business appears to have a dual model: developing therapeutic antibiotic assets while licensing its AI and computational design tools. Its protein-design platform has been deployed on AWS using orchestrated compute and storage workflows, with generative design, inverse-folding, structure-prediction, and biophysical-evaluation steps. The intended benefit is a more targeted and durable antibiotic-discovery process, potentially reducing how often entirely new antibiotics must be developed.
Market
Evolvere competes in TechBio and AI-powered drug discovery, specifically the next-generation and precision-antibiotics segment. Its adjacent competitive set includes Glox Therapeutics, which is developing engineered protein bacteriocins; Phare Bio, which is building a generative-AI antibiotic discovery engine; and Locus Biosciences, which is developing engineered bacteriophage therapies against bacterial pathogens. Evolvere’s differentiator is its emphasis on forecasting bacterial evolution and designing protein antibiotics to minimize future resistance, rather than relying only on conventional antibiotic discovery or pathogen-targeting modalities.
The company is an early-stage Oxford biotech founded in 2021, accepted into Y Combinator’s Summer 2024 cohort, and listed as active with a three-person team. PitchBook reports $511,000 raised, while AWS documented deployment of its protein-design platform. The evidence reviewed does not disclose a clinical-stage candidate, approved product, or named commercial customer, so the most defensible characterization is pre-commercial and early-stage rather than definitively pre-revenue; one third-party directory estimates revenue, but that estimate is not corroborated by a primary company source.
Founders & Leadership
Funding History
Y Combinator
Recent News
A bioRxiv preprint identifies O.M.C. as having served on Evolvere Biosciences’ scientific advisory board. This is an indirect research-publication mention rather than a standalone company announcement.
The University of Oxford’s Vice-Chancellor’s Oration reported that Evolvere Biosciences had been accepted into the prestigious Y Combinator programme. The item provides recent institutional coverage of the company’s accelerator participation.
Active Roles
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Get notified when they postBusiness Model
Evolvere is an early-stage, funding-backed therapeutics developer that has raised seed/Y Combinator capital while building proprietary antibiotic candidates, rather than publishing a SaaS or transactional pricing model. The evidence does not confirm a current customer-revenue stream or licensing deal; its intended commercial path is drug partnerships or licensing and eventual antibiotic sales.