Artificial intelligence is restructuring how financial institutions manage risk, how insurance reaches the businesses that need it, and how compliance teams stay ahead of regulators without burning out their people. The companies doing it most consequentially are not building digital wrappers around manual processes; they are replacing the underlying logic of how credit gets underwritten, how premiums get quoted, how audits get executed, and how patents get written. From agentic SOX compliance to AI-native wealth management operating systems, from specialty insurance marketplaces to cross-border billing infrastructure, these are the scale-ups building the financial backbone of the next decade.
Companies are listed in alphabetical order. This list is non-exhaustive.
1. ANZEN
Headquarters: San Francisco, CA | Total Funding: ~$16M
Commercial insurance distribution has not changed in structure for decades. Specialty, excess and surplus, and casualty lines are still placed over email, priced through siloed databases, and managed through fragmented back offices that were not designed to handle the complexity or volume that modern brokers face. The result is slow turnaround, high overhead, and a market that has resisted the kind of systematic efficiency gains that technology has delivered to almost every adjacent category in financial services.
Anzen is attacking the structural inefficiency at the core of commercial insurance distribution with a vertical AI platform built specifically for specialty lines. Its core technology, Anzen AI, powers Anzen Pro, an end-to-end workspace that converts unstructured submissions into structured data, routes risks to the right markets, compares quotes in seconds, and integrates with agents’ existing email and agency management systems. The platform supports both direct carrier placements and wholesale distribution, helping independent agents and brokerages reduce overhead by over 30%. Founded by Max Bruner, Anzen raised a $16 million Series A led by Madrona Venture Group, with investors citing the company’s willingness to attack the hardest part of the market: the lines where everything is done over email and siloed databases. By mid-2026, the company expects Anzen Pro to handle 80% of all commercial insurance workflows within a single system.
2. AVANTOS
Headquarters: New York, NY | Total Funding: ~$35M
Financial services firms hold more client data than almost any other industry, and they are arguably the worst at using it. Custodians, CRMs, portfolio management platforms, underwriting systems, and policy administration tools each contain a fragment of the client picture, but they were not built to share information with each other. The result is that wealth managers, insurance carriers, and retirement services providers spend enormous operational resources just trying to achieve a coherent view of the client they are supposed to be serving, and almost nothing on actually doing something useful with that view.
Avantos is the AI-native operating system for financial services firms, designed to systematize and institutionalize client data and servicing at scale. Co-founded by Bassam Chaptini and Rabih Ramadi, both veterans of McKinsey and KPMG, the platform uses a knowledge graph-based architecture to connect data across custodians, CRMs, portfolio management tools, underwriting systems, and policy administration platforms, then deploys AI agents to reason across those relationships and execute tasks without requiring manual reconciliation. The company raised a $25 million Series A led by Bessemer Venture Partners in February 2026, with strategic investors including Vanguard, SEI, and The Guardian Life Insurance Company of America, taking total funding to $35 million. The composition of that investor base is itself a market signal: the largest institutions in wealth management, asset management, and insurance are not just customers of Avantos; they are backers of it.
3. CHECKBOX
Headquarters: New York, NY / Sydney, Australia | Total Funding: ~$29.7M | Valuation: ~$100M
In-house legal teams are structurally overwhelmed. The volume of legal requests from the business keeps rising; legal headcount rarely keeps pace; and incoming requests still arrive through manual, ad hoc channels: emails, Slack messages, Teams threads, and hallway conversations. The result is that lawyers spend significant time triaging low-value work with no visibility into what is coming in, no structured intake process, and no reliable way to measure how the legal team is actually spending its time.
Checkbox is the AI-powered legal front door for in-house legal teams. Its no-code platform centralizes legal requests from every channel, including email, Slack, Microsoft Teams, Salesforce, and intranet portals, and deploys AI agents for self-service on routine tasks such as contract drafting and conflict approvals, while routing complex matters to lawyers with full context. The company raised a $23 million Series A led by Touring Capital in January 2026, with participation from Peak XV (formerly Sequoia Capital India), Conductive Ventures, and angel investors including Workday VP of Agentic AI Jerry Ting, pushing total funding to $29.7 million at a valuation above $100 million. Named in Gartner’s 2025 Hype Cycle for Legal Tech, Checkbox already powers more than 100 enterprise clients including SAP, PepsiCo, and Telstra. For legal teams who have spent years as a reactive support function, Checkbox is the infrastructure that turns the team into an accountable, measurable operation.
4. COMPLYANCE
Headquarters: Berlin, Germany | Total Funding: ~$20M+
Risk and compliance functions are among the most expensive and most manual in regulated businesses. Evidence reviews, vendor assessments, policy management, and framework mapping across SOC 2, ISO 27001, GDPR, HIPAA, NIST, and dozens of other frameworks are still largely executed through spreadsheets, email threads, and point-in-time audits. The compliance team is chronically understaffed relative to the regulatory surface it has to cover, and the tooling it uses was designed for documentation, not for intelligence.
Complyance is the agentic AI platform that automates manual risk and compliance workflows across the enterprise. Founded and led by CEO Richa Kaul, its platform centralizes risk and compliance data, deploys specialized AI agents that automate evidence review, vendor assessments, and policy management, and provides continuous risk observability rather than periodic snapshots. The company raised a $20 million Series A led by GV (Google Ventures) in February 2026, with participation from Creandum, HV Capital, Speedinvest, and Everywhere Ventures, and additional backing from GRC and security leaders at Anthropic and Mastercard. The 2026 capital will fund deployment of over 30 new specialized AI agents covering frameworks including HIPAA, ISO, and NIST. For compliance teams managing an expanding regulatory surface with headcount that has not grown to match it, Complyance is the infrastructure that makes the gap closable.
5. DEEPIP
Headquarters: New York, NY / Paris, France | Total Funding: ~$40M
The global patent system processes millions of applications annually, and the process for drafting, prosecuting, and managing them has not changed in structure since the 1990s. Patent attorneys work inside Microsoft Word, cross-referencing prior art, iterating on claims language, and managing prosecution correspondence across dozens of active matters simultaneously. It is among the most technically demanding and most document-intensive workflows in the legal profession, and the gap between demand for patent work and the supply of qualified practitioners has been widening for years.
DeepIP is the AI patent platform that has become the system of record for AI-native patent operations. Built natively into Microsoft Word and integrated with leading IP management systems, the platform embeds AI across drafting, prosecution, and portfolio strategy, helping patent professionals write better applications faster and manage prosecution responses with maintained audit trails. The company raised a $25 million Series B co-led by Korelya Capital and Serena in March 2026, with participation from Balderton Capital and Headline, bringing total funding to $40 million following a tenfold increase in ARR over 18 months. More than 400 IP law firms and corporate IP teams across 25 jurisdictions now operate on the platform, including Greenberg Traurig, Philips, Dexcom, and Mewburn Ellis. The second wave of AI in patent practice is not task-level speed; it is system-level memory. DeepIP is building the infrastructure where that memory lives.
6. ENFI
Headquarters: Boston, MA | Total Funding: ~$22.5M
Regional and community banks in the United States are facing a structural capacity crisis in commercial lending. Credit analyst positions go unfilled year after year; the manual work of financial spreading, credit memo drafting, and portfolio monitoring is too labour-intensive to staff adequately at smaller institutions; and the result is that lending volume is constrained not by capital or demand but by the throughput of human credit teams that cannot scale. The consequence is that smaller businesses seeking credit from community lenders face longer timelines, higher rejection rates, and a banking system that cannot serve them at the pace they need.
EnFi deploys agentic AI credit analysts that work across the full commercial lending lifecycle, from deal screening and financial spreading to credit memo drafting and continuous portfolio monitoring. Founded by CEO Joshua Summers and CTO Scott Weller, the company raised a $15 million Series A in February 2026 led by FINTOP Capital, with participation from Patriot Financial Partners, Commerce Ventures, Unusual Ventures, and Boston Seed Capital, pushing total funding to $22.5 million. The investor consortium collectively connects to more than 150 community and regional banks, a form of distribution that is structural rather than negotiated. EnFi’s agents are operational within 60 to 90 days and act as virtual co-workers alongside existing credit teams, not as replacements for them. For the thousands of community banks that cannot fill their credit analyst pipelines, EnFi is not automating a back-office function; it is removing a growth constraint.
7. EQUAL PARTS
Headquarters: Austin, TX | Total Funding: ~$23M
Independent insurance agencies are facing a succession crisis. Half the industry’s agency owners are expected to retire in the next decade, and most do not have a succession plan, a buyer, or a technology platform capable of sustaining their agencies through the transition. The agencies themselves are culturally distinctive, client-focused businesses built over decades, and their owners are understandably reluctant to sell to roll-up vehicles that will strip the culture and standardize the service. The result is a fragmented, underinvested segment of the insurance market facing an existential ownership question with very few good answers.
Equal Parts is the platform solving the succession problem for independent insurance agencies by acquiring them and equipping them with AI tools that extend their reach without eroding their identity. Founded in March 2025 by CEO Mike Witte, the company raised $23 million in Series A funding led by Inspired Capital in February 2026. Since founding, it has increased revenue growth for acquired agencies by nearly 40% and delivered bottom-line improvement of almost 50%. Equal Parts is targeting 25 top-tier agency acquisitions in 2026 and has set a goal of $1 billion in premiums within 24 months. The model is built on a straightforward premise: agency owners deserve an exit that preserves their agencies’ culture, autonomy, and client relationships rather than sacrificing them to operational standardization. For a segment of the market where the ownership transition is already underway, Equal Parts is arriving at exactly the right time.
8. FULCRUM
Headquarters: San Francisco, CA | Total Funding: ~$25M
Insurance brokerages have long relied on offshore business process outsourcing to handle the most labour-intensive servicing tasks: policy checking, certificate issuance, coverage analysis, and proposal generation. What started as a cost-saving measure has become a structural drag. Multiple handoffs across BPO teams, account managers, and carriers create delays, introduce errors, and generate operational risk at a moment when client expectations for speed and accuracy have never been higher. The top 50 U.S. insurance brokerages are running their most consequential servicing workflows through infrastructure that was not built for this pace.
Fulcrum is the AI platform for insurance brokerages, built to replace offshore BPO with AI agents that handle the same workflows faster, more accurately, and without the coordination overhead. Co-founded by CEO Arjun Mangla and CTO Sambhav Anand, the platform integrates directly with agency management systems including Applied Epic, pulls policy documents from email, reconciles data across systems of record in real time, and automates coverage analysis, policy checking, proposal generation, and certificate issuance. The company raised $25 million in combined Seed and Series A funding led by CRV in January 2026, with participation from South Park Commons and Foundation Capital. Fulcrum is currently executing more than 2,500 hours of manual work daily across brokerage teams, cutting policy delivery from a 15-day minimum to same-day and reducing proposal-generation cycles from six to eight hours to under two. For brokerages where operational capacity is the binding constraint on growth, Fulcrum is removing it.
9. GRIDLINE
Headquarters: New York, NY | Total Funding: ~$18.5M
Alternative investments, spanning venture capital, private equity, private credit, and real assets, now represent one of the fastest-growing allocations in wealth management. Yet the operational infrastructure for managing those investments at wealth management firms has not kept pace with the asset class’s growth. Diligence is manual, reporting is fragmented across dozens of fund manager portals, and the end-to-end investment lifecycle from sourcing through monitoring and client reporting requires navigating a disconnected set of tools that were not built to work together.
Gridline is the turnkey alternatives management platform that unifies the full investment lifecycle for wealth management firms, from AI-powered diligence through portfolio monitoring and client reporting. The company raised $18.5 million in January 2026 to accelerate development of AltComply, its AI-powered diligence capability, which automates the review and structuring of fund documents and due diligence materials. More than 400 wealth management firms now use the platform, including Keebeck Wealth Management and Avidian Wealth Solutions, with the company managing over 50 investment vehicles. For advisors trying to offer alternative investment access without hiring dedicated infrastructure teams, Gridline is the operating system that makes the asset class manageable at scale. The firms best positioned to capture the alternatives allocation shift are the ones whose operational foundation can handle it. Gridline is that foundation.
10. ONSHORE
Headquarters: New York, NY | Total Funding: ~$46M
More than $200 billion in U.S. tax incentives go unclaimed every year. The R&D tax credit is widely cited as the most complex and most audited credit in the U.S. tax code, and the process for claiming it under traditional accounting firm models relies on statistical sampling, manual reviews, and study timelines that routinely stretch to 270 days. The firms performing these studies bill by the hour, not by outcomes, and the combination of cost, complexity, and audit exposure means that many eligible businesses either under-claim or do not claim at all.
Onshore, formerly known as SPRX, is the AI-powered tax platform that automates R&D tax credit studies, alongside 179D deductions and cost segregation, by combining intelligent automation with human tax expertise. Founded in 2020 by CEO Dominic Vitucci and backed by Y Combinator, the company raised a $31 million Series B led by FPV Ventures in February 2026, with participation from Vertex Ventures, ADP Ventures, and Restive Ventures, bringing total funding to $46 million. Where traditional providers take 270 days, Onshore completes studies in 28, at 30 to 50% lower cost. The platform plans to use its Series B capital to expand beyond R&D credits into broader financial and accounting workflow automation, positioning itself as the infrastructure for corporate compliance and reporting at scale. For every eligible business that has left credits unclaimed because the process was too expensive or too slow, Onshore is the reason they no longer need to.
11. PETUAL
Headquarters: San Francisco, CA | Total Funding: ~$20M
SOX compliance is a permanent, recurring cost of being a public company. A single Sarbanes-Oxley program covers hundreds of internal controls, tested every period, adding up to tens of thousands of individual tests annually across public enterprises. For every test, a human auditor wades through unstructured files to locate specific evidence, then names, timestamps, and cross-references each item into Excel workbooks and Word documents formatted to meet external auditor standards. Internal audit teams dedicate roughly 60% of their hours to SOX requirements, and two-thirds of that time is spent on testing alone. The $8 billion spent annually on SOX compliance in the U.S. is not the cost of oversight; it is the cost of a fundamentally manual process that has never had a credible automation alternative.
Petual is building that alternative. Its agentic AI platform automates SOX evidence collection and work paper preparation at scale, processing both structured and unstructured inputs including screenshots, PDFs, and Excel files and generating audit work papers with detailed reasoning linked to source documents, formatted to match external auditor templates. The company raised $20 million in funding in April 2026, comprising a $17 million round led by Andreessen Horowitz and a $3.2 million round led by First Round Capital, with participation from Cowboy Ventures, Elad Gil, and the founders of Lyft and Opendoor. Early customers include S&P 500 and Nasdaq 100 companies across energy, software, infrastructure, manufacturing, and financial services, reporting efficiency improvements of 68 to 80% on SOX workflows. a16z partner Brian Roberts, who joined Petual’s board, described it as rare to see an early-stage company reach enterprises of that scale so early. The companies that have deployed Petual describe it as “utterly transformative” and have cut budget to a quarter of pre-Petual levels.
12. SIGMA360
Headquarters: New York, NY | Total Funding: ~$32.7M
Financial crime compliance is a $300 billion industry operating largely on legacy infrastructure. Screening, monitoring, and reviewing clients and counterparties across sanctions lists, adverse media, politically exposed persons databases, and ESG risk signals is still done through fragmented point solutions that do not share data, require significant manual review, and generate high volumes of false positives that compliance teams cannot process at scale. For banks, payment providers, fintechs, and globally exposed corporations, the cost of this fragmentation is measured both in operational overhead and in regulatory risk.
Sigma360 is the full-stack AI platform for risk intelligence, financial crime prevention, and compliance, having unified what was previously a patchwork of screening, monitoring, and decisioning tools into a single enterprise-grade system. Founded by CEO Stuart Jones Jr., the company raised a $17.3 million Series B led by Moderne Ventures in March 2026, with participation from Vocap Partners, Orrick, Contour Ventures, and Mosaik Partners, bringing total disclosed funding to approximately $32.7 million. Over the past two years, Sigma360 achieved 5x growth, reached profitability in 2025, and now reports 140% net revenue retention and 95% gross revenue retention. The platform currently protects over $2 trillion in assets and billions of dollars in monthly transactional value, and was named the number one adverse media screening platform by Chartis Research in both 2025 and 2026. For regulated institutions where the cost of a compliance failure is existential, Sigma360 is the platform that closes the gap between data and decision.
13. WITHCOVERAGE
Headquarters: New York, NY | Total Funding: ~$42M+
Insurance brokers are paid more when their clients pay more. That commission structure, which has defined the brokerage industry for decades, creates an inherent conflict of interest between the broker and the business it is supposed to serve: the broker is financially incentivised to recommend higher premiums, more coverage, and more expensive options regardless of whether they are in the client’s interest. For fast-growing businesses navigating complex risk profiles across D&O, E&O, cyber, employment practices, and general liability, this dynamic has produced a market where the advice they receive cannot be trusted to be fully independent.
WithCoverage was co-founded by JD Ross, co-founder of Opendoor, and Max Brenner to solve that conflict of interest structurally. The company operates on a flat-fee model rather than commission, aligning its incentives entirely with those of its clients, and combines AI-driven risk analysis with in-house teams of insurance specialists and legal professionals to help scaling companies identify risk exposures earlier and optimize coverage structures. The company raised $42 million in a Series B led by Sequoia Capital and Khosla Ventures in January 2026, with additional participation from 8VC and Crystal Venture Partners. The capital will fund more than 75 new hires across product engineering, business development, and risk management in 2026, and support expansion into construction, aerospace, and additional verticals. Keith Rabois of Khosla Ventures noted that risk management is even more outdated than real estate was when he and Ross worked together at Opendoor. WithCoverage is applying the same instinct for structural reinvention to a market that has been waiting considerably longer for it.
14. HARPER
Headquarters: San Francisco, CA | Total Funding: ~$46.8M
Excess and surplus lines commercial insurance is among the most technically demanding segments in the industry. Mid-sized businesses with complex, non-standard risk profiles, including construction firms, technology companies, and specialty manufacturers, require coverage that standard carriers will not write, placed through wholesale distribution channels that are still largely manual. The broker experience is slow, documentation-intensive, and highly dependent on individual expertise. The client experience is opaque, slow, and frequently results in coverage that is less precise than the risk actually demands.
Harper is building a fully autonomous commercial insurance brokerage powered by AI, with an initial focus on mid-sized businesses with complex insurance needs. Founded by CEO Dakotah Rice and CTO Tushar Nair, the company participated in Y Combinator’s Winter 2025 batch before raising $46.8 million in combined seed and Series A funding led by Emergence Capital, with participation from Y Combinator, Lobster Capital, and Peak XV Partners. Harper’s AI system learns from the expertise of its brokers, accumulating not just knowledge but the specific workflows, data, and capabilities that map a path toward full autonomy in placing complex commercial coverage. The company’s vision is broad: to eventually serve every business in the country by making expert-level commercial insurance accessible at machine speed. For a segment of the market where the expertise required to serve clients well has historically been the constraint, Harper is building a system that accumulates that expertise permanently.
15. ZENSKAR
Headquarters: New York, NY | Total Funding: ~$63M
B2B pricing has become dramatically more complex. Usage-based tiers, prepaid credits, contract amendments, minimum commitments, customer hierarchies, multi-entity structures, and multi-currency operations are now standard features of modern SaaS and fintech contracts, and the legacy billing infrastructure that most companies rely on was built for a simpler world of flat subscriptions. The result is revenue leakage, delayed collections, compliance risk, and an order-to-cash cycle that requires manual intervention at every edge case, which in modern pricing models means constantly.
Zenskar is the AI-native billing and revenue automation platform architected from the ground up to handle that complexity without engineering resources or spreadsheet workarounds. Founded by CEO Apurv Bansal and co-founder Saurabh Agrawal, the platform models contract and billing data as interconnected objects on a graph, handling any pricing model, amendment, or edge case without rigid constraints, and deploys AI agents across the full order-to-cash cycle including invoicing, collections, and revenue recognition. The company raised a $15 million Series A in April 2026 led by Susquehanna Venture Capital and Bessemer Venture Partners, with participation from Shine Capital, Rho, and Future Back Ventures by Bain & Company, bringing total funding to $63 million after reporting 5x revenue growth over the prior year. Its Agents Marketplace allows finance teams to build, chain together, and deploy agents across the full billing cycle without any engineering resource. Sardine, which had spent four years running its own in-house billing infrastructure, migrated to Zenskar when it concluded that the platform could handle its high-volume usage-based pricing better than the infrastructure it had built itself. For finance teams whose current systems were designed for a simpler era, Zenskar is the foundation built for the one they are actually in.
This was a brief overview of the rapidly evolving AI fintech, insurtech, and compliance landscape. If there is a company you think belongs on this list, reach out to our editorial team and we will make sure they are included on the next one.
