This article presents an analytical overview of 10 new computational biology companies integrating advanced technologies in their specialized fields. These companies offer cloud-based bioinformatics systems, protein genome analytics, virtual drug screening, and more. Each company employs innovative approaches to accelerate research and development in pharmaceuticals, personalized medicine, cellular agriculture, evolutionary biology, and disease prevention. The collective advancements by these computational biology companies advance scientific inquiry and improve the efficacy and speed of health-related discoveries. Explore how these entities are reshaping the landscape of computational biology. We updated this report 5 days ago. Notice something’s off? Let’s make it right together — reach out!
Continue reading to gain up-to-date and data-driven insights on:
- Profiles of 10 Emerging Computational Biology Companies
- How to Scout New Computational Biology Solutions Easily
Key Takeaways
Drawing insights from the Big Data & AI-powered StartUs Insights Discovery Platform that provides data on over 4.7+ million emerging companies globally, we explore the evolving landscape of computational biology. This sector is marked by key trends and a substantial workforce, shaping its future. Here are some key insights at a glance:
- Current Computational Biology Trends: Some of the top trends in computational biology are bioinformatics, genomics analysis, next-generation sequencing (NGS), protein engineering, and drug discovery and development.
- Computational Biology Market Stats: The sector comprises 1.5K+ organizations worldwide. Out of these, 500+ new computational companies were founded in the last five years, with 2020 as the average founding year. On average, each of these companies employs about 18 people. Moreover, the average funding received by the computational biology industry per round in the same span is USD 41.8 million.
- 10 New Computational Biology Companies to Watch:
- FoldChanges – Bioreactor Management
- Bainom – Cloud-based Bioinformatics
- Naturannova – Protein Genome Analytics
- Nexco Analytics – Omics Data Analysis
- AliveX – AI Immunology Platform
- SiBioLEAD – Virtual Drug Screening
- Deep Origin – Collaborative Biological Analysis
- Entropix – Enzyme Engineering
- Ailomics Therapeutics – AI-augmented Bioinformatics
- Mesintel Therapeutics – Target Discovery Platform
Discover 10 out of 500+ Emerging Computational Biology Companies
In this section, we highlight 10 new computational biology companies specializing in omics data analytics, enzyme engineering, target discovery platforms, virtual drug screening, and more. These organizations integrate high-throughput sequencing, precision modeling, and advanced computational methods to improve discovery processes, operational efficiency, and drug development accuracy. Continue reading to uncover the detailed and pioneering solutions these companies contribute to computational biology.
Note on Signal Strength
One of the unique metrics we feature for each company is Signal Strength, a proprietary data point generated by our Discovery Platform. It gauges the extent to which a company’s influence has permeated the global ecosystem of startups, scaleups, and emerging companies. This proprietary metric serves as a valuable guidepost for understanding a company’s standing in the broader market landscape.
1. FoldChanges
- Founding Year: 2021
- Employee Range: 2-10
- Location: Netherlands
- Signal Strength: Strong
- What they do: FoldChanges provides a computational biology platform that uses machine learning to optimize cellular agriculture. It supports biologists by providing advanced tools for managing bioreactor data and enables easy access to offline and real-time data. The company’s solution also supports the analysis of high-dimensional biological data, such as RNA-Seq or proteomics, crucial for designing and interpreting experiments. It employs advanced Bayesian machine learning models to analyze tasting panel data and generate reliable comparative insights. The platform also serves cultivated meat companies. This comprehensive approach improves productivity and supports sustainable agriculture.
2. Bainom
- Founding Year: 2019
- Employee Range: 2-10
- Location: USA
- Signal Strength: Very Strong
- What they do: Bainom develops BAINOM-nX, a cloud-based bioinformatics platform that focuses on multi-omic data analysis for drug discovery and precision health. This platform integrates AI/ML workflows for processing, analyzing, and mining multi-omic and clinical data. BAINOM-nX features a multi-omic data silo, Bainom Tensor, which encompasses clinically actionable features for deep data mining. It supports integration with over 100 scientific databases and enhances the depth and relevance of biomarker and drug target identification. The platform’s scalable computation capabilities enable efficient processing and analysis of complex datasets down to the nucleotide level. Additionally, BAINOM-nX offers dynamic, multi-layered visualization tools that allow researchers to interpret complex data patterns. Researchers and healthcare professionals benefit from its comprehensive approach to uncovering novel biomolecular features.
3. Naturannova
- Founding Year: 2021
- Employee Range: 2-10
- Location: Chile
- Signal Strength: Very Strong
- What they do: Naturannova builds a computational biology platform that utilizes plant protein genome data to develop sustainable and healthy ingredients. The platform performs detailed analyses of protein structures, dynamics, and functions to identify potential ingredients. It combines AI and bioinformatics to create peptidic structures that enhance flavor perception. The solution also utilizes microorganisms as biological factories in the scaling phase, efficiently producing natural ingredients. For example, the company’s natural protein-based sweetener, Sweet Protein +, is derived from edible plants. This is a healthier alternative to conventional food and beverage sweeteners without compromising taste.
4. Nexco Analytics
- Founding Year: 2021
- Employee Range: 2-10
- Location: Switzerland
- Signal Strength: Very Strong
- What they do: Nexco Analytics offers bioinformatics as a service with its ONex platform. This cloud-based platform allows researchers to perform analyses directly online by converting raw data into interactive results within hours. ONex supports various omics studies, including RNA-seq, ChIP-seq, and proteomics, without coding. It processes data on secure servers and ensures fast computation and high-standard outputs. ONex is beneficial for researchers and biologists who need quick, reliable, and comprehensive omics analysis as it makes bioinformatics accessible and affordable.
5. AliveX
- Founding Year: 2019
- Employee Range: 51-200
- Location: Australia
- Signal Strength: Very Strong
- What they do: AliveX specializes in advanced biomarker discovery, target identification, and accelerated drug development. The company’s platform combines multi-omics data, systems biology, computational modeling, and AI to explore the immune system. It facilitates multi-omics data generation, accelerates clinical trials, and enables novel discoveries. Researchers and healthcare professionals benefit from AliveX’s platform by identifying mechanisms that govern critical biological processes.
6. SiBioLEAD
- Founding Year: 2023
- Employee Range: 2-10
- Location: USA
- Signal Strength: Very Strong
- What they do: SiBioLead develops D-HTVS, a virtual drug screening platform to enhance the speed and accuracy of drug discovery. This platform enables diversity-based high throughput virtual screening of small molecule libraries by targeting a range of macromolecules. D-HTVS utilizes a two-stage screening process – starting with a virtual docking that covers all chemical spaces, followed by focused docking of structurally related compounds. It reduces computational time by processing up to 80 0000 compounds in just 12-15 hours. SiBioLEAD incorporates chemical libraries, like ChemBridge, ChEMBL, and ZINC, into the platform to make various compounds available for screening. This platform supports efficient and comprehensive virtual drug discovery, streamlining the process from initial screening to final analysis.
7. Deep Origin
- Founding Year: 2022
- Employee Range: 11-50
- Location: USA
- Signal Strength: Very Strong
- What they do: Deep Origin provides a cloud-based computational biology platform that combines data analysis, simulation, and collaboration. The platform offers scalable compute benches and storage volumes to make computational tasks accessible and efficient. Researchers customize their workspace with software blueprints and are continuously updated with the latest life sciences tools. The platform facilitates interdisciplinary collaboration and allows teams to quickly share data, software, and compute resources. This enhances the speed and efficacy of scientific research in life sciences. Organizations benefit from the platform’s ability to manage large-scale data analysis with smart pricing controls, ensuring cost-effectiveness. Overall, Deep Origin’s platform supports rapid, collaborative scientific discovery, tailored for computational biologists.
8. Entropix
- Founding Year: 2021
- Employee Range: 2-10
- Location: UK
- Signal Strength: Very Strong
- What they do: Entropix builds a protein engineering platform that combines experimental molecular technology and computational methods to design enzymes. This approach utilizes algorithmic computations to establish links between amino acid sequences and enzyme functions. The platform employs machine learning and gene sequence analysis to accelerate the natural evolution process, producing enzymes with novel functions. These enzymes find applications in diagnostics, manufacturing, and food production, solving critical challenges. The platform enhances enzyme properties through a series of controlled evolutionary steps and, hence, allows researchers, industrialists, and healthcare professionals to develop high-performance enzymes.
9. Ailomics Therapeutics
- Founding Year: 2022
- Employee Range: 11-50
- Location: China
- Signal Strength: Strong
- What they do: Ailomics Therapeutics leverages AI-augmented bioinformatics and single-cell multi-omics data to identify signaling pathways driving disease progression. This computational approach integrates various omics data, including transcriptomics and proteomics, to systematically analyze and validate disease mechanisms. The company develops computational models that identify novel therapeutic targets from these pathways for further wet lab validation. The platform also utilizes organ-on-a-chip technology to enhance the translatability of preclinical drug studies. This in vitro model supports dynamic physiological simulations and provides a more effective tool for preclinical validation. High-throughput mammalian cell display technology on the platform identifies antibodies with high specificity and affinity from cells. Researchers and pharmaceutical developers are able to streamline target discovery and validation processes.
10. Mesintel Therapeutics
- Founding Year: 2021
- Employee Range: 2-10
- Location: Canada
- Signal Strength: Strong
- What they do: Mesintel Therapeutics utilizes a proprietary target discovery platform to create better therapeutics for diseases like cancer and fibrosis. It accelerates therapeutic development by integrating deep fibroblast biology knowledge. The platform combines single-cell multi-omics, genetically engineered models, and advanced computational methods, including AI/ML, to uncover mechanisms of fibroblast dysfunction. These insights allow researchers to identify novel therapeutic targets and explore therapeutic applications in rare diseases, tissue regeneration, and aging.
Quick Tip to Find New Computational Biology Companies
Utilizing a SaaS platform like the Discovery Platform for identifying new computational biology companies provides significant benefits compared to traditional scouting methods:
- Increased Efficiency: The Discovery Platform offers advanced tools that streamline the scouting process. It replaces your hours of conventional desk research, saving time and resources in identifying computational biology innovations.
- Access to Real-time Insights: Gain a competitive edge with up-to-date information on the latest trends in computational biology. The platform keeps you informed with near real-time updates on emerging computational biology solutions and news, enabling you to make swift and informed decisions.
- Tailored Exploration: Customize your search to focus on specific niches within computational biology, such as AI-augmented bioinformatics, target discovery platforms, or virtual drug screening. The platform’s diverse filtering options allow you to target your scouting efforts precisely, ensuring that you find the most relevant and groundbreaking companies in the field.
Ready to Explore All New Computational Biology Companies?
We’ve explored the dynamic landscape of computational biology, examining the latest trends and spotlighting exceptional companies driving innovation. To dive deeper, download our free BioTech Report or schedule a demo of the Discovery Platform for a customized exploration of these groundbreaking developments. We seek partnerships with industry experts to deliver actionable insights into startups and tech. Interested? Let us know!
