Sphinx
Category: AI Agents
Sphinx builds browser-native AI compliance agents that automate AML, KYC, and KYB workflows for banks, fintechs, and crypto platforms. Sphinx was founded in 2024. The company is led by Alexandre Berkovic. Based in San Francisco, United States. Team size: 11-50. Total funding raised: $7.1M. Latest round: Seed. Key investors include Cherry Ventures, Y Combinator, Rebel Fund, Deel Ventures, Singularity Capital.
- Founded
- 2024
- Headquarters
- San Francisco, United States
- Team size
- 11-50
- Total funding
- $7.1M
Value proposition
Browser-native AI agents that work inside existing enterprise systems (no APIs, no integrations, no rip-and-replace) to automate end-to-end compliance workflows, reducing manual reviews by up to 87-94%, clearing backlogs in days, and cutting compliance operating costs by up to 4x.
Products and solutions
Sphinx AI Compliance Agents (browser-native agents for AML, KYC, KYB, EDD, transaction monitoring, alert disposition, SAR/UAR filing, UBO mapping, continuous monitoring, document intelligence, dispute resolution), Sphinx Frontline (AI-native BPO / managed compliance services pairing human analysts with AI agents), Sphinx Doc Fraud (AI forgery / document fraud detection for KYC/KYB onboarding)
Unique value
Unlike traditional RegTech that adds dashboards but still requires human analysts to do the work, Sphinx's AI agents log into existing systems, click, type, and make decisions just like a human employee — with full audit trails — enabling deployment in days without replacing any existing infrastructure.
Target customer
Banks, fintechs, crypto platforms, credit unions, and public companies needing AML/KYC/KYB compliance automation
Industries served
Banking, Fintech, Cryptocurrency, Credit Unions, Financial Services
Technology advantage
Proprietary Interpretable Agentic Framework with policy-aware reasoning; browser-native architecture enabling zero-integration deployment; SOC 2 Type II certified; agents trained on compliance SOPs with human-in-the-loop QA feedback loops; 85-90% accuracy on case types with continuous improvement through expert review cycles
How they differentiate
Browser-native architecture that requires zero integration or engineering support; agents operate directly within existing case management tools, portals, PDFs, and email; end-to-end decision-making (not just recommendations); human-in-the-loop QA with former compliance analysts; SOC 2 Type II certified; deployable in days across multiple geographies.
Main competitors
ComplyAdvantage, NICE Actimize, Hawk AI, Alloy, LexisNexis Risk Solutions
Key partnerships
TRM Labs (strategic partnership to automate AML compliance workflows using AI agents, announced December 2025), Y Combinator (F24 batch)
Notable customers
Equals Money (global financial management platform), Conduit, Wert, Alviere
Major milestones
Founded 2024, Accepted into Y Combinator Fall 2024 batch, Launched browser-native AI compliance agents, Reached production across 8+ countries, Processed millions of alerts and hundreds of thousands of cases, Partnered with TRM Labs (Dec 2025), Raised $7.1M seed round led by Cherry Ventures (Feb 17, 2026), Launched Sphinx Frontline AI-native BPO for FinCrime (~May 2026), Launched Sphinx Doc Fraud AI forgery detection (~Jun 2026)
Growth metrics
Team size ~14 (YC); production across 8+ countries; millions of alerts and hundreds of thousands of cases processed; customer outcomes include ~87% fewer false positives, up to 4x ops cost reduction, 98% same-day case resolution (company-reported).
Market positioning
Early-stage AI-native compliance agent platform competing against established RegTech incumbents by offering a fundamentally different approach — browser-native agents that execute work rather than just providing dashboards or rules engines.
Geographic focus
Global (customers across 8+ countries including US institutions regulated by OCC, FDIC, and Federal Reserve)
About Alexandre Berkovic
Ex-Co-founder of Adorno AI (audio generation startup, later acquired); studied Design Engineering at Imperial College London and Machine Learning / Business Analytics at MIT (2022-2023)
Latest news about Sphinx
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Official website: https://sphinxhq.com