TECHNOLOGY

AIFinTech100 for 2026: Tines and Moderne Lead $155M AI Funding Wave

AIFinTech100 for 2026: Tines and Moderne Lead $155M AI Funding Wave

AIFinTech100 for 2026: The Dawn of Autonomous Operations in Financial Services

The financial technology landscape is undergoing a seismic shift as artificial intelligence moves from experimental tool to operational backbone. The release of the AIFinTech100 for 2026, an annual ranking of the most innovative AI-driven companies in financial services, arrives at a moment when capital is flowing into AI-powered automation at unprecedented levels. Two companies highlighted in this year's list—Tines and Moderne—have just closed funding rounds totaling $155 million, underscoring the sector's confidence in AI that can replace manual processes and modernize legacy codebases.

Tines Raises $125 Million to Reinvent Workflow Automation

Tines, a no-code automation platform beloved by security and operations teams, has secured $125 million in a new funding round that values the company at over $1 billion. Founded in Dublin and now headquartered in Boston, Tines has carved a niche in FinTech by enabling banks, insurers, and payment processors to orchestrate complex workflows without writing a single line of code. The fresh capital will accelerate Tines' AI roadmap, including predictive workflow suggestions and natural-language triggers that allow compliance officers to design automated responses to regulatory changes in minutes, not days.

The round was led by prominent venture capital firms with deep FinTech expertise, with participation from existing investors including Accel and Index Ventures. Tines has now raised more than $200 million in total funding. The company reports that its customer base has tripled over the past two years, with major financial institutions using Tines to automate incident response, anti-money laundering investigations, and customer onboarding—areas where speed and accuracy directly impact revenue and regulatory compliance.

Moderne Secures $30 Million to Transform Code Refactoring with AI

On the same day, Moderne, a specialist in automated code refactoring and analysis, announced a $30 million Series B funding round. While less consumer-facing than Tines, Moderne addresses a critical bottleneck in FinTech innovation: legacy technical debt. Banks and financial platforms often run on millions of lines of outdated Java, COBOL, and Python code that resist modernization. Moderne's AI-powered platform analyzes entire codebases, identifies inefficiencies and security vulnerabilities, then automatically generates refactored code that complies with modern standards—all without requiring developers to manually trace dependencies.

The Series B was led by a consortium of enterprise software investors, with Telefonica Ventures and existing backers participating. Moderne claims its technology can reduce code migration timelines by 70% and cut compliance-related code audits from weeks to hours. In the context of FinTech, where a single bug in core banking systems can trigger regulatory fines or customer data breaches, Moderne's value proposition is resonating strongly. The company has already partnered with several top-10 global banks and expects to double its engineering team by mid-2026.

Industry Context: Why AI Workflow and Code Automation Are Gaining Momentum

The dual funding announcements illustrate a broader shift in how financial institutions think about technology investment. After years of layering AI on top of existing systems, 2026 is emerging as the year when AI begins to reshape the systems themselves. Tines and Moderne represent two sides of the same coin: Tines automates the external workflows that connect people and systems; Moderne automates the internal code that powers those systems.

Industry analysts point to regulatory pressure as a key driver. The financial watchdog landscape is increasingly mandating real-time reporting, explainable AI, and auditable decision trails. Workflow automation tools like Tines allow firms to build compliance into every process, while code refactoring platforms like Moderne ensure that legacy software can meet these new standards without full rewrites. Meanwhile, the cost of compute and the maturation of large language models have made once-costly automation projects economically viable for mid-tier financial firms, not just the largest banks.

Forward-Looking Conclusion: The Automation Flywheel

With $155 million in fresh capital between them, Tines and Moderne are well-positioned to accelerate the feedback loop that defines modern AI-driven FinTech. As Tines' AI learns from millions of automated workflows, it will generate insights that improve Moderne's refactoring recommendations; as Moderne cleans up code, Tines' integrations become more reliable and easier to maintain. This synergy is precisely the kind of 'AI flywheel' that the AIFinTech100 for 2026 celebrates.

Looking ahead, the winners in FinTech will not simply be companies that deploy AI, but those that use AI to continuously optimize their entire technology stack—from the front office to the data center. Tines and Moderne, with their contrasting but complementary approaches, are showing the industry a blueprint for autonomous operations that is both practical and ambitious. For financial services leaders watching from the sidelines, the message could not be clearer: the age of manual, code-heavy finance is coming to an end, and the machines are already at work.