Evogene
Evogene is a Rehovot, Israel-based computational biology company founded in 1999 that applies computational technologies to life-science product development. The firm employs 101-250 staff; specific products, customers, and revenue details were not extractable from the available sources.
- Company typePrivate
- Founded1999
- HeadquartersRehovot, Israel
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What Evogene does
Evogene is a computational biology company headquartered in Rehovot, Israel, founded in 1999. According to its own short_description, the firm "utilizes computational biology technologies to revolutionize life-science product development," indicating its core function is the application of computational methods to discovery, design, or optimization within life-science value chains (e.g., ag-bio, therapeutics, or industrial biotechnology are plausible but unconfirmed by the source material).
The company's underlying technology stack, platform architecture, proprietary algorithms, and product portfolio were not extractable from the available source material. The primary website extraction (evogene.com) returned only a loading placeholder ("One moment, please... Loader... Please wait while your request is being verified"), and no products_and_services, technology, ai_capability_types, or patents_and_trademarks fields were populated. Firmographic data indicates a headcount band of 101-250 employees, consistent with a mid-sized R&D-oriented organization rather than an early-stage startup.
Evogene's business model, pricing structure, go-to-market motion, customer segments, named accounts, and partnership network are not documented in the available data. No revenue figures, funding rounds, leadership team, M&A activity, or regulatory actions were captured. This absence represents a material information gap: any investment thesis on revenue mechanics, customer concentration, unit economics, or commercialization stage cannot be grounded in the supplied evidence and must be deferred until primary disclosures are obtained.
Evogene firmographics
Firmographics- Name
- Evogene
- Website
- https://evogene.com
- Company type
- Private
- Founded year
- 1999
- Headcount range
- 51–100 employees
- Short description
- Evogene is a Rehovot, Israel-based computational biology company founded in 1999 that applies computational technologies to life-science product development. The firm employs 101-250 staff; specific products, customers, and revenue details were not extractable from the available sources.
- Ownership category
- akta.pro rank
Evogene industry classification
Industry- Product category
- Computational Biology Platforms
- NAICS
- Research and Development in Biotechnology (except Nanobiotechnology) (541714), Research and Development in the Physical, Engineering, and Life Sciences (54171), Biological Product (except Diagnostic) Manufacturing (325414)
- SIC
- Services-Commercial Physical & Biological Research (8731), Services-Prepackaged Software (7372)
- akta.pro primary industry
- AI/ML Platforms for Drug Discovery & Experiment Optimization (HLAGAJAO)
- akta.pro secondary industries
- Synthetic Biology & Genetic Circuit Design Platforms (pathway engineering, chassis development) (HLAAAIAD), Protein Engineering & Directed Evolution Platforms (enzyme/therapeutic protein optimization) (HLAAAIAC)
Keywords
Where Evogene is headquartered
LocationHeadquarters
- HQ city
- Rehovot
- HQ country
- Israel
- HQ region
- Middle East
Markets served
Evogene business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel
Evogene product offering
Product offeringCore offering
Evogene applies computational biology technologies to support and accelerate life-science product development. The company uses computational tools to revolutionize how life-science products are discovered and developed by its customers.
Differentiator
Problem solved
Functional benefit
Companies that use Evogene
Customer profileIdeal customer profiles1 record
Evogene technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Evogene partnerships and signals
Strategic signalRecent moves1 record
Evogene competitors and assessment
Company assessmentBroad incumbents
- Zymergen (now part of Ginkgo Bioworks): Developed a platform combining biology, automation, and machine learning to engineer microbes for industrial applications. Comparable to Evogene's synthetic-biology/AI platform orientation.
Direct peers
- NRGene: Israel-based genomics and AI company providing computational solutions for plant breeding and life-science research. Comparable to Evogene by geography, technology, and agricultural biology focus.
- Insitro: Applies machine learning and high-throughput biology to drug discovery. Comparable to Evogene's AI/ML platform approach to life-science product development.
- Recursion Pharmaceuticals: Uses AI, high-throughput biology, and automated experimentation to discover and develop drug candidates. Comparable to Evogene as an AI/ML-driven life-science discovery company with a platform model.
- Schrödinger, Inc. Provides a computational platform combining physics-based modeling and machine learning for drug discovery and materials design. Comparable to Evogene as a software/AI-driven life-science discovery platform sold to R&D organizations.
- Benson Hill: Uses AI/ML-driven genomics and crop analytics to develop plant-based food and ingredient products. Comparable to Evogene as an AI/biology platform targeting agricultural and food applications.
- Inari Agriculture: Applies AI and predictive design to seed development for sustainable agriculture. Comparable to Evogene's agricultural applications of its computational biology platform.
- Ginkgo Bioworks: Operates a platform applying synthetic biology, AI, and high-throughput screening to engineer organisms for industrial, agricultural, and pharmaceutical customers. Closely comparable to Evogene's computational biology platform serving multiple life-science verticals.
Emerging players
- Pairwise: Applies gene editing and computational biology to develop improved crops. Comparable to Evogene as an emerging AI/computational-biology player in agricultural life sciences.
- Atomwise: Uses AI for small-molecule drug discovery. Comparable to Evogene as an AI/ML-driven life-science discovery company, though focused on chemistry-based rather than biological-product discovery.
Market position
Strengths3 records
Weaknesses3 records
Competitive moat3 records
Key risks4 records
Key highlights4 records
Customer concentration
Evogene social profiles
Digital presenceEvogene financial estimates
Financial estimateRevenue estimate
Valuation estimate
Evogene leadership team
Management profileNumber of profiles
Evogene funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Evogene M&A and investment
M&A and investmentM&A
Investments1 record
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Evogene
What does Evogene do?
Evogene applies computational biology technologies to support and accelerate life-science product development. The company uses computational tools to revolutionize how life-science products are discovered and developed by its customers.
When was Evogene founded?
Evogene was founded in 1999. It employs 51 to 100 people.
Where is Evogene based?
Evogene is headquartered in Rehovot, Israel, in the Middle East region.
Who are Evogene's main competitors?
Zymergen (now part of Ginkgo Bioworks) is listed as a broad incumbent. Direct peers are NRGene, Insitro, Recursion Pharmaceuticals, Schrödinger, Inc., Benson Hill, Inari Agriculture and Ginkgo Bioworks. Emerging players are Pairwise and Atomwise.
Does Evogene have an API?
No public API is recorded for Evogene.
What industry is Evogene in?
Evogene's product category is Computational Biology Platforms. Its primary akta.pro industry code is HLAGAJAO, AI/ML Platforms for Drug Discovery & Experiment Optimization, with a secondary code of HLAAAIAD, Synthetic Biology & Genetic Circuit Design Platforms (pathway engineering, chassis development). Its NAICS code is 541714 and its SIC code is 8731.