
Data Science and Machine Learning Platforms
No-code, no-rule data cleaning and preparing for Machine Learning models and analyzing data.
- Revenue
- $242.1K
- Customers
- -
- Year founded
- 2022
- Funding
- $132K
- Team size
- 4
- Location
- Estonia
Founded 2013
Find 20 competitors in the Data Science and Machine Learning Platforms. Compare other SaaS such as Sweephy, Sweephy and Sales Team Six. These Better Food Ventures competitors have raised $2.3M and together serve more than 10K customers and employ over 117 team members.

Data Science and Machine Learning Platforms
No-code, no-rule data cleaning and preparing for Machine Learning models and analyzing data.

Data Science and Machine Learning Platforms
No-code, no-rule data cleaning and preparing for Machine Learning models and analyzing data.

Data Science and Machine Learning Platforms
The company utilizes a four stage approach with clients that is equip, educate, engage, and support to provide products like artificial intelligence driven autonomous drones, deep learning computer vision security and safety equipment and private and public cloud infrastructure(XaaS) powering these equipment, enabling small and large enterprise companies, critical infrastructure, and local, state, and federal government entities to shift, to the cloud, artificial intelligence powered equipment and software tools at a fast rate., We've released and all-in-one Sales Technology Platform, Supercompany STP. You can sign up and learn more at supercompany.com

Data Science and Machine Learning Platforms
Digicuro is an AI and ML startup based in Delhi. They specialize in space management software and branded apps for coworking spaces. They provide solutions for key security concerns in coworking spaces.

Data Science and Machine Learning Platforms
Digicuro is an AI and ML startup based in Delhi. They specialize in space management software and branded apps for coworking spaces. They provide solutions for key security concerns in coworking spaces.

Data Science and Machine Learning Platforms
Ignition Talent Group is a first of its kind talent acquisition and advisory firm that merges the best practices of executive recruiting with the perspective and commitment of a venture capital firm to build teams capable of breakout success. Founded in 2009 by a collective of research-driven investors, entrepreneurs and executive talent scouts, Ignition Talent Group specializes in working with startups and emerging growth businesses in the internet/e-commerce, digital media, SaaS and mobile sectors to accelerate and improve their ability to attract senior leadership as well as key impact engineers and product managers. Traits of Talent Ignition has devoted significant resources to gain perspective on the optimal competencies and the key Traits of Talent that drive success in entrepreneurs. The team applies this knowledge in quantitative and qualitative measures to develop a talent profile tailored to each client's stage-specific requirements and takes a systematic approach to ident

Data Science and Machine Learning Platforms
Developer of a predictive analytics platform designed to predict customer behavior. The company's platform predicts customer behavior by automatically integrating source data and analyzing thousands of behavioral patterns in hours instead of months, enabling businesses to power every campaign with advanced analytics.

Data Science and Machine Learning Platforms
Developer of a predictive analytics platform designed to predict customer behavior. The company's platform predicts customer behavior by automatically integrating source data and analyzing thousands of behavioral patterns in hours instead of months, enabling businesses to power every campaign with advanced analytics.

Data Science and Machine Learning Platforms
Developer of a predictive analytics platform designed to predict customer behavior. The company's platform predicts customer behavior by automatically integrating source data and analyzing thousands of behavioral patterns in hours instead of months, enabling businesses to power every campaign with advanced analytics.

Data Science and Machine Learning Platforms
Founded in 2017, Metavallon VC is a venture capital firm based in Athens, Greece. The firm seeks to invest in early-stage technology startups operating in the transportation, artificial intelligence, big data, clean tech, fintech, insurtech, robotics and cybersecurity sectors.

Data Science and Machine Learning Platforms
Founded in 2017, Metavallon VC is a venture capital firm based in Athens, Greece. The firm seeks to invest in early-stage technology startups operating in the transportation, artificial intelligence, big data, clean tech, fintech, insurtech, robotics and cybersecurity sectors.

Data Science and Machine Learning Platforms
Founded in 2017, Metavallon VC is a venture capital firm based in Athens, Greece. The firm seeks to invest in early-stage technology startups operating in the transportation, artificial intelligence, big data, clean tech, fintech, insurtech, robotics and cybersecurity sectors.

Data Science and Machine Learning Platforms
Founded in 2017, Metavallon VC is a venture capital firm based in Athens, Greece. The firm seeks to invest in early-stage technology startups operating in the transportation, artificial intelligence, big data, clean tech, fintech, insurtech, robotics and cybersecurity sectors.

Data Science and Machine Learning Platforms
Developer of a SaaS E-Commerce platform designed digitally transform brick and mortar grocers. The company's platform uses artificial intelligence to provide shoppers the convenience of an in-store experience through a mobile and desktop experience, with the ability to either pick up their orders or get them delivered at their doorstep, enabling grocers to get access to the most efficient way for retailers to grow in the convenience economy.

Data Science and Machine Learning Platforms
Developer of a SaaS E-Commerce platform designed digitally transform brick and mortar grocers. The company's platform uses artificial intelligence to provide shoppers the convenience of an in-store experience through a mobile and desktop experience, with the ability to either pick up their orders or get them delivered at their doorstep, enabling grocers to get access to the most efficient way for retailers to grow in the convenience economy.

Data Science and Machine Learning Platforms
Developer of a SaaS E-Commerce platform designed digitally transform brick and mortar grocers. The company's platform uses artificial intelligence to provide shoppers the convenience of an in-store experience through a mobile and desktop experience, with the ability to either pick up their orders or get them delivered at their doorstep, enabling grocers to get access to the most efficient way for retailers to grow in the convenience economy.

Data Science and Machine Learning Platforms
Adaptive Pulse is an AI-powered retention intelligence platform for B2B SaaS

Data Science and Machine Learning Platforms
Adaptive Pulse is an AI-powered retention intelligence platform for B2B SaaS

Data Science and Machine Learning Platforms
Featherless AI is the largest open-source LLM inference provider on Hugging Face, founded in 2024 and led by CEO and co-founder Eugene Cheah. The company offers serverless access to over 30,000 open-source models on a flat-rate pricing model, abstracting GPU infrastructure complexity for developers and prosumers who want to run AI models without managing hardware. Cheah co-created RWKV, the first attention-free AI architecture under the Linux Foundation, and the company grew out of that research community as an accidental pricing experiment that quickly outpaced the original platform. As of April 2026, Featherless AI serves 10,000 customers, generates more than $250,000 per month in revenue but less than $500,000 per month, and has a team of 27 people approaching 30. The company raised a $2 million seed round pre-launch for RWKV research, then closed a $20 million Series A in December 2025 led by Airbus Ventures and AMD Ventures. Its largest single customer pays between $1 million and $2 million per year. The single most important strategic fact is that Featherless AI built its inference stack from scratch to load models in 5 to 30 seconds, versus the industry-standard 30 minutes, enabling dynamic GPU swapping across thousands of models on demand. This technical moat lets the company serve the long tail of fine-tuned and niche-language models that no other provider hosts, which is what drove the initial Reddit-fueled signup surge and continues to differentiate it from competitors who cover only the top 100 models.

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