20 machine learning startups to keep on your radar (2024)

Top machine learning startups

Complete list of the most ground breaking machine learning  startups that are worth knowing:

UNISOC

Founded in 2018, UNISOC leverages big data and AI to optimize semiconductor design and manufacturing. Their automated systems enable rapid development of customized chips.

Key capabilities include intelligent modelling, simulation, and testing. UNISOC aims to compress the chip production process through data-driven automation.

MedPay

Founded in 2018, MedPay streamlines claim submissions and settlements between providers and insurers. Their intelligent systems automate verification and processing. Key capabilities include real-time adjudication, fraud detection, and reconciliation.

MedPay aims to bring speed and transparency to healthcare payments. For providers struggling with insurance claim headaches, MedPay brings relief. Their platform delivers faster reimbursement and cash flow. Given MedPay’s wide adoption across India, it clearly fills a major need.

Teikametrics

Founded in 2014, Teikametrics offers optimization tools tailored to ecommerce sellers on platforms like Amazon and Walmart. Their AI-powered flywheel continually tests and improves listings.

Key capabilities include repricing, restock alerts, and performance analytics. Teikametrics aims to maximize seller profits and efficiency.

BHyve

Founded in 2019, BHyve facilitates knowledge sharing and transfers between workers. Employees build a skills profile on the platform. BHyve’s algorithms then suggest optimal pairings for learning.

Workers connect in modes like coaching sessions or coffee chats to exchange institutional know-how. BHyve aims to retain critical expertise and enable internal development.

Quantexa

Founded in 2016, Quantexa’s software ingests internal and external data from across the enterprise. Advanced analytics and modeling unlock hidden insights and patterns.

Key applications include risk scoring, process optimization, and predictive analytics. Quantexa aims to drive data-informed strategic decision making. For organizations struggling to connect data silos, Quantexa brings clarity. Their platform transforms fragmented data into actionable intelligence.

Aidoc

Founded in 2016, Aidoc’s AI platform flags abnormalities on scans like CTs, X-rays, and ultrasounds. The tool screens for conditions like strokes, fractures, and pulmonary embolisms.

Aidoc aims to improve detection rates and accelerate triage times. Their technology serves as a diagnostic aid for radiologists.

Lookiero

Founded in 2016, Lookiero asks subscribers to fill out a style survey upon signup. Algorithms then generate outfit recommendations tailored to each user. Customers keep what they like and return the rest.

The service aims to deliver effortless, customized fashion discoveries. Lookiero’s data-driven curation removes the friction of shopping.

Algolux

Founded in 2015, Algolux develops computer vision software for autonomous driving. Their algorithms accurately interpret visual data from cameras and LiDARs. This allows real-time navigation and hazard detection.

Key applications include lane recognition, 3D mapping, and low light imaging. Algolux aims to provide robust navigation intelligence for self-driving vehicles. For any company developing autonomous platforms, Algolux unlocks safe and scalable vision.

Circly

Founded in 2019, Circly ingests historical sales data, market trends, and other signals to generate demand predictions. Their AI models account for fluctuations like seasonality, promotions, and competitions.

Key applications include inventory and assortment planning, supply chain optimization, and workforce management. Circly aims to improve retailers’ forecasting accuracy and agility.

SuperAnnotate

Founded in 2019, SuperAnnotate offers data labeling and annotation capabilities tailored to computer vision needs. Their platform automates parts of the labeling process to boost efficiency.

Key applications include image segmentation, object detection, and image classification. SuperAnnotate aims to speed up the development of visual AI systems.

Yodawy

Founded in 2017, Yodawy connects pharmacies with patients for home delivery of medications. Their automated systems verify prescriptions and insurance eligibility in seconds.

Patients get faster access to medications through an easy online pharmacy marketplace. For pharmacies, Yodawy provides the technology to enable e-prescriptions and e-commerce.

Tractable

Founded in 2014, Tractable developed computer vision technology for the auto insurance industry. Their algorithms review images of vehicle damage to rapidly assess required repairs.

This allows insurers to estimate costs and process claims faster. Tractable aims to bring speed and consistency to accident recovery.

AB Tasty

Founded in 2012, AB Tasty provides tools to help companies continuously improve conversion rates. Their platform enables A/B testing, algorithmic personalization, and product experience targeting.

Key capabilities include campaign authoring, customer segmentation, and results analysis. AB Tasty aims to help brands maximize revenue through data-informed optimizations.

Pyramid

Founded in 2008, Pyramid’s platform combines data prep, business analytics, and machine learning. This enables faster and more collaborative data-driven decision making.

Key features include governed self-service analytics, AI-powered insights, and natural language querying. Pyramid aims to remove silos and complexity from the analysis process.

Hopsworks

Founded in 2018, Hopsworks provides tools to build, train, deploy and monitor ML models in one system. Their platform enables data scientists to collaborate and track experiments.

Key capabilities include feature engineering, model deployment, and MLOps monitoring. Hopsworks aims to accelerate end-to-end development of production ML applications.

Clarity AI

Founded in 2019, Clarity AI provides analytics and insights to evaluate companies on ESG (environmental, social, governance) factors. Their platform empowers investment due diligence across impact dimensions.

Key capabilities include risk assessment, portfolio screening, and impact attribution reporting. Clarity AI aims to bring rigor to values-aligned investing strategies.

PhotoRoom

Launched in 2019, PhotoRoom leverages computer vision to instantly remove photo backgrounds. Users snap a picture of a product, and the app extracts and isolates the subject.

The technology also applies enhancements like color correction and lighting filters. PhotoRoom aims to make professional image creation fast and easy.

Rossum

Founded in 2017, Rossum integrates with company systems to ingest documents from any source. Advanced OCR and NLP techniques extract and structure information.

This data can flow directly into workflows like order processing and payments. Rossum aims to remove manual document handling.

BMLL

Founded in 2014, BMLL offers granular historical market data on equities, options, futures, and forex. Their platform delivers hard-to-find tick-level datasets for backtesting and modeling.

Key offerings include historical data feeds, pricing analytics, and derived data products. BMLL aims to serve any need for high-quality financial markets data.

RideVision

Founded in 2018, RideVision uses AI and cameras to detect hazards around a motorcycle. The technology alerts riders to possible collisions and triggers emergency braking if needed.

Key features include blind spot warnings, imminent collision alerts, and fall detection. RideVision aims to give riders an extra layer of protection on the road.

Conclusion

By intelligently balancing progressive technology with user-centric priority, these machine learning startups represent the future of machine learning and its quest to permeate nearly all aspects of life and work.