Healthcare payments are still negotiated in the dark. Most providers feel it every day.

Anomaly just raised $17M in new funding, bringing total capital raised to $34M. The round was led by Sound Ventures, with participation from Alumni Ventures and existing investors including Link Ventures, Redesign Health, and RRE Ventures. The company is focused on one problem: providers do not actually see how payers behave at scale.

A system built on blind spots

Healthcare providers lose billions every year through denials, underpayments, downgrades, and delayed reimbursements. On paper, contracts define what should be paid. In reality, payments often deviate due to policy updates, interpretation shifts, and layered review systems.

Most health systems only see the outcome of a claim, not the pattern behind thousands of similar decisions. Payers, meanwhile, operate with far more structured intelligence infrastructure. That creates a persistent imbalance in visibility.

What Anomaly actually changes

Anomaly analyzes billions of healthcare transactions in real time. The goal is not just to flag denied claims, but to connect them into behavior patterns across payers.

It tracks how reimbursement decisions shift across claims activity, contract terms, policy changes, and adjudication behavior over time. Instead of reacting to denials one by one, providers can start seeing how those denials are generated in the first place.

The same dataset is used in two places: day-to-day revenue cycle operations and higher-level managed care negotiations.

From fixing claims to understanding payers

Early results suggest the impact goes beyond operational cleanup. Anomaly has helped recover tens of millions in revenue and contributed to measurable changes in payer behavior across health systems, labs, and RCM organizations.

More than 20 health systems are now using the platform, including large providers with over $4B in annual net patient revenue.

The shift is subtle but important: from managing denials to understanding payer behavior as a system.

Why this matters in practice

For many provider organizations, payer negotiations and claim operations still live in separate worlds. That separation limits what teams can see and act on.

When patterns become visible, conversations with payers also change. Discussions move away from individual claims and toward repeated behavior.

Internally, it also changes how teams prioritize work. Not everything looks like an isolated issue anymore.

Key takeaways

• The core shift is from reacting to denials to understanding payer behavior in real time
  
  
• Healthcare reimbursement is driven by payer behavior patterns, not just contract terms
  
  
• Providers still operate with partial visibility into how decisions are made at scale
  
  
• Anomaly turns transaction data into payer behavior intelligence
  
  
• The platform connects revenue cycle execution with managed care strategy

If you are building or scaling a fintech product, Your Fintech Story can support your strategy, positioning, and growth roadmap. Reach out to explore how to turn market opportunity into execution.

Financial institutions have spent years talking about digital transformation. Yet many still rely on fragmented systems that make product launches slow, integrations expensive, and operational upgrades risky. That gap is becoming harder to ignore as AI adoption accelerates across financial services.

Stitch, a company building cloud-native infrastructure for financial institutions, announced a $25 million Series A round led by Andreessen Horowitz. The investment is notable not only because of the size of the round, but because it represents Andreessen Horowitz’s first investment in the GCC region.

The round also included participation from existing investors Arbor Ventures, COTU Ventures, Raed Ventures, and SVC, bringing Stitch’s total funding to $35 million.

A modern operating system for financial institutions

Stitch positions itself as an operating system for modern financial institutions. Instead of forcing banks and fintechs into costly “rip and replace” migrations, the company offers a modular infrastructure stack covering lending, cards, payments, and ledgers. Institutions can adopt components gradually while continuing to operate existing systems.

That approach matters. Many financial institutions operate across disconnected platforms built over decades. Adding new products often requires complex middleware layers, manual reconciliation processes, and long implementation cycles.

Stitch is targeting that operational complexity directly by becoming the system of record underneath financial products and workflows. The company was founded by operators with experience at organizations including NPCI, FIS, Barclays, Santander, and Azentio. That operational background is visible in the positioning: infrastructure first, AI second.

AI adoption depends on clean infrastructure

One of the more important themes in Stitch’s announcement is the connection between infrastructure modernization and AI readiness.

The AI conversation in fintech often focuses on interfaces, copilots, or automation layers. But financial institutions still struggle with fragmented data environments and legacy cores that were never designed for real-time intelligence.

AI systems are only as useful as the infrastructure feeding them. Without centralized, reliable systems of record, financial institutions face limitations around data quality, compliance visibility, and operational consistency. That creates a ceiling for meaningful AI deployment.

Stitch is betting that infrastructure modernization will become a prerequisite for the next phase of financial services transformation.

Growth signals across emerging markets

The company says more than $5 billion has been transacted on the platform in the last six months alone. Stitch also reported 10x customer growth and 20x revenue growth in 2025.

Its footprint already spans the GCC, Africa, including Egypt and Kenya, and Southeast Asia. Customers include Raya Financing, LuLu Exchange, Noqodi, and Foodics.

The new capital will be used to accelerate product development, deepen regional expansion across GCC and MENA markets, and scale global go-to-market operations.

For investors, the opportunity appears tied to a broader trend: financial institutions globally are searching for infrastructure that can support faster product development, regulatory resilience, and AI adoption simultaneously.

Before wrapping up, here are a few key takeaways fintech startups should pay attention to:

Key takeaways for fintech startups

• AI adoption in financial services increasingly depends on infrastructure quality, not just AI tooling.
  
  
• Modular modernization approaches are gaining traction over full core replacement strategies.
  
  
• Infrastructure startups solving operational pain points continue to attract significant investor attention.
  
  
• Emerging markets are producing globally relevant fintech infrastructure companies.
  
  
• Systems of record remain one of the most strategic layers in financial services technology.

Your Fintech Story helps fintech startups grow through strategy, positioning, consulting, and marketing support. We work with founders and operators building the next generation of financial services infrastructure and products. Reach out.