Sweat Equity Ventures

Bureau is a no-code identity and risk orchestration platform that tackles friction and fraud. It assists businesses in automating decisions, onboarding good customers, preventing fraud, and enabling seamless user experiences. The platform utilizes real-time insights, instant logins, and risk profiling to secure and simplify authentication and accelerate onboarding. Bureau provides extensive protection throughout the entire customer journey with solutions that include customer onboarding, account monitoring, device intelligence, behavioral biometrics, and transaction monitoring. Its unique Identity Bureau Network utilizes contextual data to deliver actionable insights, enabling businesses to make well-informed choices regarding digital identities.

Scribe lets users share how work is done, enabling anyone to automatically create step-by-step guides for any process. The Scribe platform seamlessly captures and shares knowledge workers’ “know-how,” building more productive and collaborative organizations and communities.

The Public Health Company is developing the first global biosecurity platform to provide enterprises a SaaS-enabled service for the management of bio-risks. PHC combines world-class expertise with cutting edge technology to be the global solution to enterprise risk management. PHC focuses on intersecting physical world threats across diverse use-cases to deliver actionable and predictive intelligence that enables dynamic risk management with unprecedented speed and scale. It was founded in 2020 and headquartered in Palo Alto, California.

Bespoke Financial is a licensed lender supporting cannabis companies. They alleviate working capital constraints across the entire cannabis supply chain. Bespoke supports their clients as they scale and grow with unique financing solutions and cannabis business loans. Bespoke Financial was founded in 2018 and is based in Los Angeles, California.

Deep Discovery is inspired by our work with the journalists who led the reporting of the Panama Papers, where we uncovered a previously unreported international nuclear trafficking ring, using only public data found across the open Web. There are thousands of similar organized crime networks going undetected, causing banks to be fined billions of dollars for letting them slip through the cracks. At Deep Discovery, we are applying AI to discover hidden patterns in raw data that reveal high-risk activity at an unprecedented global scale. We automatically generate financial crime risk assessment scores, analogous to a FICO score, for every company in the world, including their directors and officers. These risk scores will be available under a simple subscription model to be queried by banks, regulators, and journalists, with the underlying source documentation available for verification and further human analysis. No other software vendor in the marketplace today is able to generate network-based risk assessments, which is a big reason banks have been continuing to get caught doing business with bad actors and receiving massive fines.

Scribe lets users share how work is done, enabling anyone to automatically create step-by-step guides for any process. The Scribe platform seamlessly captures and shares knowledge workers’ “know-how,” building more productive and collaborative organizations and communities.

GetSetUp is an online platform and community that helps older adults enjoy more fulfilling, independent, and socially connected lives through learning. GetSetUp offers on-demand, engaging learning experiences that range from teaching everyday technical skills to enrichment-focused courses taught by passionate instructors.

Syntegra applies state-of-the-art machine learning models to create validated, synthetic data derivatives of health care data that match all of the statistical properties of the underlying data, but guaranteed to contain none of the original data, and cleared of privacy issues. Healthcare systems and data aggregators are forced to impose ever greater barriers to clinical data access. Syntegra is unique in developing a very large, open-access data platform of high quality, patient-level real-world data, trained using modern machine learning methods on health system information. Users can leverage our platform to conduct analytics, building predictive models, generating synthetic control groups for clinical trials and more. Since training is done on data at rest, and only deep learning model parameters are sent from the Syntegra API to the Syntegra servers, there is no risk of identifiable personal information leaving our secure platform. To satisfy health system security teams and end-users, numerous methods of validation, leak-testing and benchmarking are applied to the data derivatives before they pierce the health system’s firewall. Syntegra’s solution is scalable, and usable across many types of data, from images to financial information to sensor streams, will be securely added to our data lake over time. The company is led by a team of extraordinary serial entrepreneurs and university faculty with deep knowledge in medicine and data science.

Bureau is a no-code identity and risk orchestration platform that tackles friction and fraud. It assists businesses in automating decisions, onboarding good customers, preventing fraud, and enabling seamless user experiences. The platform utilizes real-time insights, instant logins, and risk profiling to secure and simplify authentication and accelerate onboarding. Bureau provides extensive protection throughout the entire customer journey with solutions that include customer onboarding, account monitoring, device intelligence, behavioral biometrics, and transaction monitoring. Its unique Identity Bureau Network utilizes contextual data to deliver actionable insights, enabling businesses to make well-informed choices regarding digital identities.

Dessa’s mission is to stretch the limits of what can be achieved with applied machine learning responsibly. We’re a diverse team of curious builders with headquarters in Toronto, the birthplace of deep learning’s present-day boom. Founded in 2016, we got our start building machine learning applications from the ground up for some of the world’s largest companies, in industries ranging from banking to telco. Since then, we have applied our experience building real-world AI to inform the development of our machine learning engineering product Foundations. With Foundations, we are devoted to helping machine learning practitioners solve the field’s biggest technical challenges, including reproducibility and explainability. Focused on design, we strive to make tools that practitioners actually want to use in their day-to-day workflows, taking form and function into account in equal measure. In our spare time, we also build things with machine learning that are less practical but still wildly impactful, including but not limited to a life-like AI facsimile of Joe Rogan’s voice. We take our role as pioneers of applied artificial intelligence and technology seriously, and in all of our projects, examine how we can advance technology in a way that is responsible to the people, organizations and places it is built for.