Company Profile · Vertical AI · Fintech
CredCore
The New York company teaching artificial intelligence to read the fine print of a $5 trillion market - and pairing it with credit experts who sign off before the money moves.
The New York company teaching artificial intelligence to read the fine print of a $5 trillion market - and pairing it with credit experts who sign off before the money moves.
CredCore is a vertical-AI company built for one of the least-digitized corners of finance: enterprise debt. Every year, roughly $5 trillion in credit changes hands through documents that still get read, cross-checked, and summarized largely by hand - hundred-page credit agreements, covenant schedules, redlines, and obligation checklists. CredCore's platform ingests that unstructured material and converts it into structured, deal-ready intelligence.
The company describes its approach as an end-to-end agentic workflow that spans the whole deal lifecycle: pre-deal evaluation, in-deal diligence, and post-deal covenant and portfolio monitoring. Its flagship product, the Tusk AI platform, extracts clauses, produces plain-English summaries, surfaces hidden risks, and compares deals - work that historically took analysts days and now, the company says, takes hours.
What separates CredCore from a generic document tool is its founding conviction: technology alone will not earn an institution's trust. Senior credit and legal specialists stay in the loop, validating the AI's output so the result carries institutional-grade precision and an audit trail. The founders frame it plainly - the machine does the reading, the experts do the checking.
"Enterprise credit mirrors where equities stood 30 years ago - but credit markets are substantially larger."— Karthik Nandyal, Co-Founder & Co-CEO
AI-native software that converts unstructured credit-deal documentation into structured insight - clause extraction, plain-English summaries, risk surfacing, and deal comparison across origination through monitoring.
An agentic workflow covering evaluation, diligence, and portfolio and covenant monitoring - so origination, underwriting, and asset-management teams work from a single source of structured data.
Senior credit and legal specialists review AI output before it counts, delivering the precision, trust, and audit-ready accountability that regulated institutions require.
Enterprise credit is fragmented, complex, and inconsistently documented. Deal teams lose days to manual review, risks hide in dense agreements, and diligence throughput is capped by headcount. CredCore compresses that grind into hours and lets a team roughly double its deal capacity without hiring.
Many "AI for X" tools chase full automation. CredCore deliberately keeps experts in the loop - models trained on ~$5 trillion of credit data do the heavy reading, but senior specialists validate the output. The alternatives are legacy manual processes, offshore analyst teams, and general document-AI tools that lack credit-specific depth and sign-off.
An illustrative view of how CredCore reframes a credit deal: the bottleneck was never the decision, it was the document work leading up to it. Figures reflect the company's stated 70-90% reduction in grindtime and are approximate.
CO-FOUNDER & CO-CEO
Before CredCore, Nandyal built a high-frequency trading business for a major global bank. He argues enterprise credit today resembles equities three decades ago - only larger and slower to digitize.
CO-FOUNDER & CO-CEO
Annegiri champions the expert-in-the-loop model: "Technology alone cannot solve credit's complexity - expert oversight ensures precision and trust." The pair founded CredCore in 2022.
CredCore sells B2B enterprise software to the institutions that move credit: asset managers, banks, corporations, and capital-markets firms. The pitch is straightforward - onboard quickly with no IT integration, then let deal teams handle more transactions without adding analysts. The platform supports asset managers overseeing more than $650 billion in assets under management, a figure later reporting has put above $1 trillion across structured and private credit.
Security is part of the sale. CredCore is certified SOC 2 Type II, ISO/IEC 27001, and ISO/IEC 42001, with row-level encryption and role-based access - table stakes for firms that cannot afford a data leak or an unexplainable model. It sits squarely in the fast-growing intersection of two trends its lead investor points to: the expansion of private credit and the rise of applied AI.
In February 2025, CredCore announced a $16 million Series A round led by Avataar Ventures, earmarked to expand AI capabilities, grow the team, and broaden support across credit-market participants and deal types.
"Technology alone cannot solve credit's complexity - expert oversight ensures precision and trust."— Saumil Annegiri, Co-Founder & Co-CEO
Karthik Nandyal and Saumil Annegiri launch CredCore in New York to modernize enterprise debt capital markets with AI.
The team builds an end-to-end agentic credit workflow, pairing proprietary AI with senior credit and legal experts.
The AI-native platform matures to convert unstructured credit documents into deal-ready intelligence and gains institutional users.
CredCore raises $16M led by Avataar Ventures in February, then wins the Banking category at the 2025 Money20/20 Awards in October.
CredCore's entry topped a field that included FICO, J.P. Morgan Payments, Revolut, Better, Nubank, and Oscilar - a rare showing for an early-stage company against fintech's biggest names.
CredCore is a vertical-AI company whose platform turns unstructured credit-deal documents into structured, actionable intelligence across the debt deal lifecycle, with senior credit experts validating the AI's output.
CredCore was founded in 2022 in New York by Karthik Nandyal and Saumil Annegiri, who serve as Co-Founders and Co-CEOs.
CredCore raised a $16 million Series A round in February 2025, led by Avataar Ventures with participation from Inspired Capital, Fitch Group, BellTower Partners, and senior finance executives.
Institutional credit participants - asset managers, banks, corporations, and capital-markets firms. The platform supports asset managers overseeing over $650 billion in assets under management.
CredCore combines AI models trained on roughly $5 trillion of credit data with mandatory expert-in-the-loop validation, aiming for institutional-grade precision and audit-ready accountability rather than fully autonomous automation.