AI FI Initiatives Continue to Proliferate in Summer 2025

By W.B. King

The dog days of summer have slowed neither the bark nor the bite of artificial intelligence (AI) offerings in the financial services space. During the first week of August, for example, the New York City-based Daloopa announced it recently closed an $18 million Series B funding round led by Touring Capital. The deal, in conjunction with Morgan Stanley and existing investor, Nexus Venture Partners, is part of a multitiered strategy, explained Daloopa CEO Thomas Li.

“We have spent many years leveraging AI to build a data infrastructure that delivers the most complete, accurate and rapid fundamental data to top-performing financial institutions across the buy-side and sell-side,” Li noted. “Before Daloopa, data discovery was painful, driven by manual processes that led to errors and took time away from important and meaningful analysis-based work. Finding the right investment partners that understand this and align on our innovative approach to creating solutions was critical.”

Priya Saiprasad, co-founder and general partner at the San Francisco-based Touring Capital, said Daloopa is a “market leader” with an “unparalleled value proposition” that provides a proprietary database of mission-critical financial data that sets the fintech apart from the competition. “The founding team’s unique blend of deep domain expertise with technical and operational proficiency perfectly positions them to become the most accurate database for financial data.”

As Nexus Venture Partners’ Managing Director Abhishek Sharma sees it, Daloopa’s approach to AI serves as a “wedge” that is disturbing the multi-billion-dollar financial data space. “Daloopa’s innovative AI-powered approach is bridging the gap between the reporting of financial data at its source and its consumption in financial analyst workflows,” he continued. “We’re excited that Daloopa is rapidly becoming the table stakes ‘must-have’ tool for financial analysts.”

Based in Menlo Park, Calif., Nexus Venture Partners invests in seed-stage and early-stage companies operating in consumer products, consumer services, information technology, e-commerce, big data, business-to-business (B2B) payments, software as a service (SaaS), AI, and machine learning (ML).

Li added: “Today, we count hundreds of the largest financial institutions as partners and customers, and we look forward to accelerating growth and deepening these partnerships in the years to come.”

AI Advantages: Intelligent, Human and Limitless

Another summertime example of AI proliferation was announced the same week by the New York City-based Algebrik AI, which welcomed Family Financial Credit Union as a new client. The $155 million Muskegon, Mich.-based credit union, which supports more than 16,000 members, selected Algebrik AI's lending origination suite Algebrik ONE. Features include digital account opening, lender’s cockpit loan origination system (LOS), omnichannel point-of-sale (POS), AI decision engine, and portfolio analytics.

“We've always believed in blending high-tech with high touch,” said Deb Dietz CEO at Family Financial Credit Union. “Whether it’s through initiatives like Quick247 or personalized account rewards, we’ve continuously evolved to meet members where they are. With Algebrik AI, we're not just upgrading our tech stack; we're redefining the speed, simplicity, and personalization of lending for the communities we serve,” she continued. “We truly believe Algebrik ONE gives us the agility to meet every member moment with intelligence, speed, and empathy.”

Algebrik AI founder and CEO Pankaj Jain explained that Algebrik ONE differentiates itself from legacy LOS systems by the following metrics:

• Ninety-percent reduction in abandonment rates, bringing down average loan or member acquisition costs from $600–$700 to $100–$200.

• Forty percent reduction in processing time for underwriters and lenders, freeing up nearly two days per week to focus on complex cases and deeper member engagement.

• Thirty to 40% increase in look-to-book (LtB) ratios, improving loan-to-share performance and net interest margins (NIM).

• Three hundred percent improvement in member experience, enabling approvals in under five minutes across all loan types, and same-day funding for unsecured personal loans.

  
  

“Family Financial’s commitment to speed, inclusion, and service excellence echoes our own DNA,” said Jain. “They've consistently shown what it means to be a modern credit union, grounded in community, yet ambitious in innovation. In a world where legacy systems continue to bottleneck progress, we're proud to equip institutions like Family Financial with a platform purpose-built for transformation. With Algebrik ONE, they gain not just embedded AI and smart workflows, but a future-proof foundation for delivering faster credit, deeper insight, and more meaningful member relationships. This is how lending should feel in the digital era: intelligent, human, and limitless.”