Modus Secures $85 Million to Scale AI Audit Infrastructure
The U.S. auditing services market is worth roughly $53.5 billion in 2026.
Modus has raised $85 million in seed and Series A funding to build what it describes as the first artificial intelligence platform purpose-built for public accounting. Lightspeed Venture Partners led both tranches, with Comma Capital and Y Combinator chief executive Garry Tan also participating. The New York-based startup plans to use the capital to accelerate product development and to invest directly in audit-focused accounting firms, a dual strategy that sets it apart from the growing crowd of vertical AI companies competing for venture dollars.
The timing is deliberate. The U.S. auditing services market is worth roughly $53.5 billion in 2026 yet the profession’s underlying workflows have barely changed in decades. Spreadsheets, manual sampling, and fragmented review processes still define how most engagement teams operate. At the same time, the talent pool is shrinking fast. The accounting and auditing workforce has contracted by more than 17% since 2020, with over 300,000 professionals leaving the field, according to the U.S. Bureau of Labor Statistics. The number of candidates sitting for the CPA exam has fallen more than 30% since 2016, and 75% of current CPAs are approaching retirement age within the next 15 years. For firms already stretched thin, the math is simple: there are not enough humans to do the work, and the tools they rely on were not designed to close the gap.
That structural mismatch is where the Modus founding team saw its opening. The company was started by Arush Jain, Pranav Pillai, and Vinay Kasat. Jain serves as chief executive, Pillai as chief technology officer, and Kasat as chief operating officer. Their backgrounds span some of the most demanding institutions in technology and finance, with team members drawn from Palantir, Citadel, Ramp, Thoma Bravo, Bridgewater, and Amazon Web Services. That blend of enterprise software experience and financial fluency shapes how the company approaches product development: not as a generic AI layer dropped onto existing workflows, but as a ground-up rethinking of how audit evidence is gathered, analyzed, and documented.
“Audits serve as the cornerstone for trust in our capital markets, yet the underlying tools and workflows have not meaningfully changed in decades,” Jain said in a statement. “This funding allows us to invest aggressively in AI-enabled audit tooling while partnering with exceptional firms that want to lead the profession forward.”
The advisory bench reinforces the company’s credibility inside a profession that is, by nature, skeptical of disruption. Jim Burton, the former chief auditor at Grant Thornton, advises the company, as does Brian Blaha, the former chief growth officer at Wipfli. An unnamed former CEO of a top 10 accounting firm rounds out the advisory roster.
At its core, the Modus platform automates the most labor-intensive pieces of the audit lifecycle: transaction analysis, document processing, risk assessment, and the generation of audit evidence aligned with regulatory standards. Workflow orchestration tools allow engagement teams to coordinate in shared digital workspaces where AI-generated findings can be reviewed, validated, and folded into final documentation. The system also supports continuous monitoring of financial data, a meaningful departure from the traditional model of periodic, sample-based testing. Rather than reviewing a subset of transactions at year end, auditors using the platform can surface anomalies in near real time and allocate their judgment to the areas that carry the most risk. The pitch is not that AI replaces auditors. It is that AI handles the mechanical volume so auditors can focus on the interpretive, judgment-driven work that regulators and clients actually value.
What sets Modus apart from a typical enterprise SaaS company is the way it structures its relationships with accounting firms. The company does not just sell software. It takes investment stakes in audit-first firms and embeds its technology directly into their operations. The model is designed to preserve the heritage, people, and client relationships of partner firms while layering in modern infrastructure that improves quality and scalability. Since launching in June 2025, the company has already made an investment in an unnamed top 200 accounting platform, per Inside Public Accounting rankings, with more than $30 million in annual revenue. The company says the firm is on track to more than double its organic growth rate in 2026 following deployment of the platform, with a meaningful pipeline of additional partners in progress.
The $85 million in fresh capital will fund continued development of the platform, expansion of audit-focused product capabilities, and additional investments in firms that align with the company’s long-term vision.
Lightspeed Venture Partners, which manages more than $50 billion in assets, placed partners Isaac Kim, Amish Desai, and Justin Overdorff on the deal. Overdorff noted that the team had already driven measurable automation in key audit workflows and increased efficiencies for the firms it works with. Kim and Desai pointed to the historical underinvestment in public accounting technology as a structural opportunity, praising the company’s partnership-first approach to earning trust in a traditionally conservative profession. The involvement of Garry Tan adds another dimension. As Y Combinator’s chief executive, Tan has become one of the most visible angel investors in the current cycle, and his participation signals confidence that the model can scale well beyond its initial partners.
The audit technology market is not without competition. Fieldguide, another AI-driven platform targeting audit and advisory firms, raised $75 million in its own recent round. EY launched enterprise-scale agentic AI in its assurance practice, backed by a multibillion-dollar commitment. And Digits, an AI-native accounting platform, introduced outcome-based pricing designed to let firms pay only when the software demonstrably reduces manual work. But the Modus approach is differentiated by its willingness to put capital to work alongside software. By taking equity stakes in the firms it serves, the company aligns its incentives directly with partner growth and profitability. That is a harder model to replicate than a pure software sale, and it creates deeper switching costs over time.
For a profession losing workers faster than it can replace them, the case for AI-enabled infrastructure has never been more urgent. Modus now has $85 million and a growing roster of firm partnerships to prove the technology can deliver. The early numbers suggest it can. Whether it holds at scale is the question the next year will answer.
