Label has been selected for the AIFinTech100 2026, FinTech Global’s annual list recognising 100 of the world’s most innovative AI solution providers in financial services.
Published by FinTech Global, the AIFinTech100 highlights companies using artificial intelligence to address some of the most important challenges across financial services, including compliance, banking, payments, insurance, customer experience, risk management and operational automation.
The 2026 selection process was highly competitive. More than 2,000 companies were assessed, with the final 100 identified by a panel of industry experts and analysts based on FinTech Global’s research and evaluation criteria.
Commenting on this year’s list, Richard Sachar, CEO at FinTech Global, said that AI in financial services has moved into a more practical, operational phase, where “the focus is less on what the technology can do and more on whether it delivers reliably in real-world use.” He also noted that the 2026 AIFinTech100 reflects how firms are helping financial institutions rethink how work gets done across increasingly complex environments.
For Label, inclusion in the AIFinTech100 is a significant recognition of our work helping financial institutions, service providers, digital asset businesses and other regulated firms modernise the way they manage tax transparency reporting.
As FATCA, CRS and CARF obligations continue to become more complex, firms are under growing pressure to improve data quality, strengthen exception handling, maintain clear audit trails and manage reporting across multiple jurisdictions. These requirements are increasingly difficult to support through fragmented processes, manual workarounds and human-controlled spreadsheets.
Label was built to support a more controlled, scalable and technology-led approach to tax transparency compliance. Our platform helps firms manage FATCA, CRS and CARF workflows by bringing together automation, validation, data quality controls, reasonableness checks, exception management and reporting capability in a structured operating environment.
AI has an important role to play in this shift, but only when it is embedded into real compliance workflows and supported by strong governance, traceability and domain expertise. In tax transparency reporting, the objective is not simply to automate isolated tasks. It is to give compliance, tax and operations teams better control over complex obligations, better visibility over their data and greater confidence in the reporting process.
The recognition comes at a time when AI in financial services is moving from experimentation into practical deployment. Firms are increasingly focused on solutions that can deliver measurable operational value, integrate into core workflows and support better decision-making across complex business environments.
“We are delighted that Label has been selected for the AIFinTech100 2026,” said Scott Nice, Chief Revenue Officer at Label. “For us, the significance of AI in compliance is not about replacing judgement. It is about giving firms better data, better controls and better workflows so that teams can manage complex regulatory obligations with more confidence. FATCA, CRS and CARF should not depend on fragile spreadsheets and manual intervention. It should be controlled, auditable and scalable.”
Label’s inclusion in the AIFinTech100 2026 reflects the growing importance of intelligent, workflow-led compliance technology as financial institutions prepare for the next phase of tax transparency regulation.
View the full AIFinTech100 2026 list at www.AIFinTech100.com and learn more about how Label’s award-winning platform helps firms modernise FATCA, CRS and CARF compliance here.
