Key Highlights of the Partnership:

• Enhanced Risk Mitigation: The partnership will significantly expand Numerated’s data coverage, enabling more comprehensive and accurate financial analysis and risk mitigation.
• Advanced Analytics: With more granular data comes opportunities for more complex analytics along with generative AI applications.
• Granular Data for Complex Commercial Lending Decisions: Expanded data sets will support asset-based lending as well as improve decisioning for small-dollar scored loans and larger, fully underwritten loans alike.

Michael Turner, CEO of Validis affirms the importance of the partnership, “Together, Numerated and Validis are providing the granular data that financial institutions need to make accurate credit decisions. Having these two best-in-class providers work together makes it easier for lenders to speed up decisions while reducing credit risk.”

“We are constantly looking to innovate and provide our clients with the best experience and data available. As we incorporate the power of GenAI into our financial analysis products, the integration of Validis data marks an incredible leap forward in providing the highest quality credit decisions in the market,” remarked Dan O’Malley, CEO of Numerated.

The integration of Validis’s data sharing technology with Numerated’s platform will be rolled out in phases, with initial implementation in 2024 and full implementation in early 2025.This phased approach ensures a seamless transition for customers and maximizes the benefits of the new capabilities.

About Numerated: Numerated transforms the way financial institutions lend to businesses, making the process faster and easier. Banks and credit unions of all sizes leverage Numerated’s digital business lending solutions to exceed borrower expectations for convenience while driving significant gains in efficiency. The platform uses data to streamline originations and underwriting for business lending, from application to close. More than 500,000 businesses and 30,000 financial institution associates have leveraged the platform to process over $50 billion in lending, making Numerated the fastest-growing fintech SaaS company on the 2022 Inc. 5,000.

About Validis: Validis is a group of passionate data people on a mission to connect financial data. We work with Lenders to help them connect to their customers’ accounting packages. With Validis, Lenders work faster and smarter, benefiting from instant access to detailed financial data including AR/AP subledgers and full GL transaction details. Our customers unlock significant efficiencies, save money, and get accurate insight from live, fully standardized, granular data. This powers faster and better lending.

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The post Numerated, Validis to Expand Footprint in Lending & Financial Analysis first appeared on FinTecBuzz.

Upshot, a core contributor of Allora, will also support a new ecosystem growth program for projects building on the Allora AI network. The ecosystem program provides:

• Extra access to Upshot’s technical team
• Introductions to investors
• Guidance to build on the network
• Support on go-to-market
• And more

Upshot CEO Nick Emmons explains that this ecosystem program will result in mutual growth: “It enables newer projects to integrate with the Allora Network before they’ve achieved mass adoption. It also fosters accelerated growth of existing projects building on the platform such as RoboNet’s market-making vaults, and the zkPredictor built in collaboration with Modulus Labs.”

The Allora network works for anyone trying to leverage decentralized AI. For application and protocol developers, Allora provides the infrastructure to build crypto apps powered by AI models. For ML model creators, Allora offers the ability to monetize their models by deploying on a decentralized network and capturing value from their models’ use. Existing platforms can also easily plug into Allora to incorporate AI into their applications without needing to develop expertise internally or plug into centralized, black-box models.

Allora is uniquely positioned to spearhead the next generation of decentralized AI applications. To enable secure, trustless access to AI for everyone, Allora has supported the development of new zkML tooling to deliver model outputs in a cryptographically verifiable way. The first example of this is the zkPredictor, the largest on-chain zero-knowledge ML product. Moreover, the team behind Allora, Upshot, has spent nearly 3 years constructing industry-leading AI x crypto infrastructure, including a flagship AI price prediction model that regularly produces predictions for over 400 million assets across hundreds of projects with 95-99% accuracy and is used across a wide number of different crypto applications.

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The post Introducing Allora: A self-improving Decentralized AI Network first appeared on FinTecBuzz.