- Specialization
- Not classified
- Business
- Software Applications
- Market
- Financial Services
- Ecosystem
- Applications
- Customers
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Applications
- Business
- Software Applications
- Specialization
- Not classified
- Market
- Financial Services
- Customers
- Enterprises
- Delivery models
- Hosted Software
- Revenue models
- Not classified
- Listing status
- Not classified
- Latest equity round
- Seed
- Reported funding amount
- Not classified
About
Shiboleth builds an AI platform that automates consumer-lending compliance for financial institutions, including audits, quality assurance, monitoring, testing workflows, and report drafting. It sells to banks and fintechs, differentiating through AI-driven automation that replaces months of manual back-office work with an integrated, secure platform.
Market
Shiboleth competes in AI-driven financial-services compliance automation, initially focused on consumer-lending compliance, customer-interaction QA, audits, and regulatory reporting. It positions itself as an integrated, explainable, human-supervised platform combining call monitoring, complaint and issue workflows, marketing review, and transaction-level regulatory testing, with analysis grounded in runbooks, regulations, complaints, and enforcement actions. The available directory source names Ubisecure, SecureAuth, Ping Identity, and BeyondTrust as competitors, but that list may reflect a similarly named identity-management entity, so it should be treated as an unverified competitor set rather than a definitive direct comparison.
Shiboleth targets regulated financial institutions—especially banks, fintech companies, and non-bank lenders—with lending-compliance workloads. Its primary buyers and users are likely compliance, quality-assurance, audit, and operations teams responsible for monitoring customer interactions, testing transactions, and preparing regulatory reports; company-size requirements are not disclosed.
At a Glance
Problem
Shiboleth addresses the labor-intensive, low-coverage nature of consumer-lending compliance. Consumer lending is highly regulated, yet audits and quality-assurance reviews are largely manual, relying on sampling, static scorecards, spreadsheets, documents, and email. That creates slow, expensive oversight and makes it difficult for banks, fintechs, and non-bank lenders to scale compliance monitoring as customer-interaction volumes grow. The killer use case is reviewing customer interactions and complaints broadly enough to catch potential violations before they become examination or enforcement problems, while reducing work that can otherwise take months.
Product / Service
Shiboleth is an AI-native regtech platform delivered as a secure, integrated compliance-operations workspace, with a demo-led sales motion. It syncs with an institution’s runbooks, uses LLMs and natural-language processing to interpret relevant regulations, and analyzes calls, chats, emails, complaints, marketing materials, and transaction-level test scripts. The platform flags possible violations, escalates serious complaints, provides transcription and summaries for call monitoring, supports configurable scorecards and issue management, and drafts audit and regulator-facing reports. Its stated benefit is broader monitoring and faster, more explainable, audit-ready workflows at materially lower manual-review cost; the company says it is deployed on AWS Bedrock and supports TILA, SCRA, FCRA, Regulation E, and UDAAP testing.
Market
Shiboleth competes in regtech and financial-services compliance software, specifically AI-assisted consumer-lending compliance monitoring, quality assurance, audit automation, and regulatory reporting. Its buyers are compliance, risk, QA, and audit teams at banks, fintech lenders, non-bank lenders, loan servicers, and related financial institutions. The competitive set includes established lending-compliance platforms such as Asurity and Ncontracts, fair-lending and AI-governance providers such as FairPlay AI, and incumbent internal or outsourced manual-audit processes; Shiboleth’s differentiation is its attempt to combine interaction monitoring, complaint management, testing, workflow, and regulator-ready artifacts in one AI-enabled system.
The company is not pre-revenue based on the available evidence. It entered Y Combinator’s Winter 2024 batch, raised a reported $1.5 million seed round, and said in February 2025 that it was live with customers and seeing high demand. A company LinkedIn update further reported 1213% revenue growth in 2025, onboarding five public companies and adding customers representing $231 billion in assets. Those traction figures are company-reported rather than independently audited, but they indicate early commercial adoption rather than an idea-stage business.
Founders & Leadership
Funding History
Y Combinator
Y Combinator
Recent News
Safeguard’s speaker page identifies Esty Scheiner as CEO and co-founder of Shiboleth.ai within its AI-native community for fraud, identity, and compliance leaders.
Fintech Meetup profiled Esty Scheiner, Shiboleth’s co-founder and CEO, describing the company’s AI-driven compliance oversight for banks and fintechs. The listing also says Shiboleth works with regulated institutions on complaint management, marketing review, merchant risk, and compliance testing.
Preqin’s company profile describes Shiboleth’s AI platform for automating compliance audits and analyzing customer call recordings. It reports that Shiboleth raised $1.5 million from Y Combinator in February 2025 for further growth and development.
Active Roles
1Business Model
The evidence supports a sales-led B2B enterprise-software model: banks and fintechs use Shiboleth’s compliance platform, while prospects are directed to “Get Started” and “Book a Demo.” Public sources do not disclose exact pricing or whether contracts are subscription-, usage-, or services-based.