
Sumsub is the world's first AI-powered trust infrastructure platform for compliance operations at scale. By bringing together identity and business verification, fraud prevention, ongoing monitoring, and risk management in a single platform, Sumsub helps businesses simplify compliance, adapt to evolving regulations, expand into new markets, and grow with confidence.
As trust becomes a continuous process, organizations need every verification, risk signal, workflow, and decision to work together. Sumsub replaces fragmented compliance tools with unified monitoring and decisioning, helping businesses strengthen security, improve efficiency, and scale operations without increasing complexity or headcount.
Powered by Summy AI, AI-driven decisioning, and MCP connectivity, the platform enables teams to automate compliance workflows, accelerate investigations, reduce manual work, and respond faster to regulatory and business changes.
Built for digital businesses and highly regulated industries, Sumsub serves organizations across financial services, banking, fintech, crypto, mobility, trading, marketplaces, education, and iGaming. Operating in more than 220 countries and territories, the platform helps companies localize onboarding, meet regional compliance requirements, and adapt workflows for different customer segments, jurisdictions, and risk profiles without extensive redevelopment.
Trusted by more than 4,000 organizations worldwide, Sumsub's customers include Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, Kaizen Gaming, and Bancaribe. The company has been recognized as a Leader by Gartner, Forrester, IDC, Liminal, and KuppingerCole for its innovation in digital trust and compliance.
Sumsub also contributes to the global fight against fraud and financial crime by collaborating with organizations including the UN, Statista, and INTERPOL. Its original research, including the Global Fraud Index and Fraud Report, provides insights into emerging fraud and AML trends for businesses, regulators, and financial institutions. Since 2026, Sumsub has been a member of the World Economic Forum's Unicorn Community and its Centre for Financial and Monetary Systems.
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FinOpsly is an AI Cost Governance platform. It brings AI, cloud, data platform and SaaS spend into one attribution, policy and control layer, so enterprises can price a workload before building it, attribute every dollar to an owner, hold spend inside budget under policy, and prove what landed in run-rate.
Your AI invoice is not what your AI costs. One request draws on model tokens, retrieval, warehouse queries, GPU capacity and storage, and only the first shows up on the AI bill. FinOpsly resolves all of it, plus the seats in procurement and the compute in an untagged cloud account, to the same dimensions: owner, team, application, line of business, customer and tenant. An AI initiative's full cost becomes one figure, charged back through one hierarchy in one cycle.
Workforce AI is the tools employees use: seats and per-user token draw across GitHub Copilot, Cursor, ChatGPT Enterprise and Microsoft 365 Copilot. Application AI is the AI your product ships: tokens, compute and data joined into cost-to-serve across OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex AI, SageMaker and Databricks.
PLAN. Price a workload from its architecture before any resource exists, across model APIs, GPU capacity, data platform consumption and storage, with assumptions visible. Compare it across candidate models on your measured usage.
EXPLAIN. Attribute spend to owner, team, application, line of business and business unit across 9+ hierarchy levels. Unified tagging reconciles providers that tag inconsistently, and AI-driven bulk labeling closes large key estates. Unattributed spend is reported in dollars.
ACT. Budgets per project, team and API key, with daily burn-rate monitoring. Anomaly detection with root cause, routed to the owner. Waste detection using FinOpsly's own algorithms and ML models. Commitment planning across AWS, Azure and Google Cloud. Policy-driven parking of idle compute.
PROVE. Chargeback across AI, cloud, data and SaaS in one cycle. Realized savings tracked into run-rate against a no-action baseline. Cost per call, cost per active user, and cost-to-serve per customer and tenant.
proof: 100% attribution of AI spend; chargeback from 12.4 days to under one day across 9+ levels; 26% realized savings in AWS and 17%+ in Azure at a payments client.
Built for CIOs, CTOs and platform leaders accountable for technology spend, FinOps and finance teams running chargeback, and engineering teams who need cost signal before they decide
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