Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups working on artificial intelligence. As there are many startups working on various different applications, we want to share our insights with you. Here, we take a look at 5 promising genetic algorithm startups.
Heat Map: 5 Top Genetic Algorithm Startups
For our 5 top picks, we used a data-driven startup scouting approach to identify the most relevant solutions globally. The Global Startup Heat Map below highlights 5 interesting examples out of 111 relevant solutions. Depending on your specific needs, your top picks might look entirely different.
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Reverie Labs – Drug Discovery
Pharma companies spend a lot of time and effort as chemists screen billions of candidates in preclinical drug discovery. The process is incredibly difficult as very few molecules are both effective against a particular disease and have the desired physiological properties for a drug. Genetic algorithms navigate the solution space faster and speed up drug discovery.
Reverie Labs is a US-based startup that uses computational tools to advance drug discovery for cancer therapies. The company utilizes genetic algorithms to come up with new molecules that are easy to synthesize, stable and optimized. This enables Reverie Labs to accelerate preclinical drug development for highly potent and selective therapies that can cross the blood-brain barrier.
Kuchi – Artificial Intelligence (AI) Trading
Trading rules are an effective method to automate the process of buying and selling shares in quantitative trading. However, simulations based on historical data take a long time to run. Genetic algorithms find good parameters for trading models faster and are accessible to both institutional traders and individuals.
Taiwan-based startup Kuchi offers AI-generated trading services for businesses. The startup’s platform, called hiHedge, uses genetic algorithms to replace intuition with deep reinforcement learning and experience with big data analysis. The AI trader learns from experience and generates further trading strategies to help investors reach their goals.
Dynamic AI56 – Business Communication
Automation of business communication is an uphill task because of the need to serve different kinds of users, sudden surges in traffic, and integration of multiple channels. Genetic algorithm-based solutions learn from experience and continuously improve the quality and accuracy of automation.
Dynamic AI56 is a US-based startup that develops artificial intelligence-based process automation software for business communication. The startup uses genetic algorithms to search through multiple different algorithms that tackle problems in computational linguistics and machine learning. These solutions automate communications in customer care, internal support, and human resources (HR) management.
Carbon Bee – Precision Agriculture
Precision agriculture involves the analysis of aerial scans to suggest precise interventions such as the application of weedicides or herbicides. For these interventions to be automated, the margin for errors must be negligible. Solutions that use genetic algorithms to analyze images optimize the detection process to make it even more precise with use.
French startup Carbon Bee develops real-time solutions for precision agriculture. The startup uses genetic algorithms, deep learning, and hyperspectral sensors to autonomously detect weeds. Overall, the platform solution allows growers to selectively target patches on the field and reduce costs and environmental impact.
Verikai – Insurance
Insurance companies analyze behaviors to identify customers and their expected pay-offs. However, there is a large number of parameters involved that make simulations costly and time-consuming. Genetic algorithm-based solutions learn from both historical data and current trends and offer improved insights.
Verikai is a US-based startup that uses behavioral data and machine learning to support health insurance companies. The startup’s platform, nDex, uses over 150 different genetic algorithms to provide their clients with insights that improve their internal models and maximize their revenue. The solution also provides clients with a list of people that meet the desired attributes and financial metrics.
What About The Other 106 Solutions?
While we believe data is key to creating insights it can be easy to be overwhelmed by it. Our ambition is to create a comprehensive overview and provide actionable innovation intelligence for your Proof of Concept (PoC), partnership, or investment targets. The 5 genetic algorithm startups showcased above are promising examples out of 111 we analyzed for this article. To identify the most relevant solutions based on your specific criteria and collaboration strategy, get in touch.
