Fixed-rate borrowing against crypto, giving users instant liquidity to multiply their investment

Telecoms power the fabric of daily modern life for people around the world, but they are still stuck using archaic software built in the 90s. Adazza is bringing machine learning to telecoms by taking advantage of the massive advancements in cloud infrastructure and computing power to solve real business problems like customer churn.

Adazza’s solution helps business users bypass IT teams, and replaces the hours they spend in spreadsheets with pre-built analytics and ML/AI apps on a SaaS subscription.

As a result of centralizing data about how people use their phones, Adazza can unlock this data for the broader fintech ecosystem building insurance & credit scoring applications.

Behavox is the People Analytics company, using AI to make companies smarter, more secure and more successful. Behavox software reveals previously undetectable insights to protect reputation and maximise revenue generation by analysing vast amounts of structured and unstructured data. The company has offices in London, New York, Montreal, and Singapore and employs industry leaders in compliance and regulation, sales and customer success, software and data science.

Operator of a direct-to-consumer fashion company aimed at the fast-fashion industry. Finesse specializes in a data-driven approach to fast fashion to spot trends early and bring apparel items to market months faster than their competition while also better-predicting demand to solve the waste issue, thereby providing customers with apparel and accessories that are up to date with the trend.

Wanted is a new talent agency whose mission it is to eliminate recruitment bias that often causes discrimination when offering a salary. The factors include but are not limited to: race, gender and belief. Wanted requires those looking for employment to enter their required salary and upload a CV/LinkedIn profile, before being matched to employers who are not able to see the full profile of the employee. This maintains their anonymity and allows for a non-biased review of their profile.

The company is tackling a lack of job transparency that exists far too often in the employment world, which results in interviews existing just to waste the time of the employee who at the end will realize that the job will not even cover their bills.

Marianas Labs is engaged in the development of algorithms for data analysis.

Mavrx provides field monitoring and farm stakeholder engagement services using a proprietary national imaging network, geospatial data science, and historic yield analysis to monitor crop production and help farms and all agriculture service providers optimize profits. The Mavrx platform supports agriculture service providers, farmers, insurance companies, and financial services touching over 100 million acres of U.S. and international farmland.

Headquartered in San Francisco, we currently operate in the U.S. and internationally.

Our team is a mix of engineers, scientists, and developers that build and utilize sensors, big data, and computer systems, while our backgrounds are in natural resources, big data, robotics, imaging, biomedical engineering, and sensor networks. We’re passionate about making a net-positive impact on the global process of food production and land management.

Integrating financial data requires huge time and resources. Pave is building an API that allows fintech developers to connect their data sources and retrieve back clean and unified financial insights around their end consumers.

Our belief is that if we make it easier and cheaper to integrate and extract insights from financial data, we can help accelerate the development of innovative new financial products.