Arden

AI agents that automate SOX control testing.

Spring 2026ActiveB2BFinance and AccountingFinanceB2BAISan Francisco, CA, USA

Company

Arden is the AI-native platform for internal audit and SOX teams. We build AI agents that automatically pull evidence from your stack, test controls end-to-end, and produce audit-ready workpapers in minutes instead of weeks. Internal audit is a massive but underserved market. Every public company in the US is required to do SOX testing, yet teams still run it through spreadsheets and screenshots. Arden is the engine that does this work.

Note: This is a preliminary assessment based on limited publicly available information. We did not have access to LinkedIn profiles or live product screenshots for this analysis. We will update this entry with a more thorough review soon.

Verdict

High Signal

Market Opportunity

SOX compliance is legally mandated for all ~12,000+ US public companies, creating a durable, non-discretionary demand cycle. Internal audit software is a multi-billion dollar market with clear ICP (public company internal audit and finance teams). The workflow pain point — spreadsheets and screenshots for evidence gathering — is well-documented and expensive in labor hours.

Medium Signal

Founder Signal

Aryaman Khanna has AI experience at Databricks and a NeurIPS 2025 co-authorship in privacy-preserving ML — solid technical signal. David Lomelin has AI/ML research background at MIT CSAIL and co-founded Blueprint, suggesting some startup execution experience. Neither has deep internal audit or finance domain expertise, and LinkedIn profiles were unavailable to verify tenure or role depth — no senior auditor or Big 4 background on the team is a gap for an audit-specific product.

Medium Signal

Competition

Established players like AuditBoard, Workiva, and ServiceNow GRC already serve SOX teams with workflow tooling, and all are adding AI features aggressively. The differentiation claim is AI-native end-to-end automation vs. workflow overlays, which is real but not yet proven. Big incumbents have deep customer relationships and compliance certifications that are hard to displace.

Low Signal

Product

No named customer logos, no pricing page, no live demo, no revenue or usage metrics cited. Landing page describes functionality (pull evidence, test controls, produce workpapers) but there is zero proof of a live product or paying customers in the data provided.

OverallB Tier

Arden is going after a real, mandated, large market with a specific workflow automation play — SOX control testing is genuinely painful and underserved by modern software. The technical founders have credible AI backgrounds (Databricks, MIT CSAIL, NeurIPS publication) but no visible domain expertise in audit or finance, which is a meaningful gap in a trust-heavy compliance context. The biggest concern is the complete absence of traction evidence — no customers, no revenue, no logos, no metrics — making this purely a thesis at this stage. Competing against AuditBoard and Workiva, who have existing enterprise relationships and are building AI features, will require early referenceable customers who can validate the AI actually works on live SOX evidence. Worth watching if they can show even 2-3 paid pilots.

Active Founders

Aryaman Khanna

Founder

Co-Founder & CEO @ Arden. Previously worked on AI @ Databricks and studied CS & Data Science @ UC Berkeley. Co-authored NeurIPS 2025 research on privacy-preserving ML for autonomous systems.

David Lomelin

Founder

Co-Founder & CTO @ Arden. Previously AI @ MIT and co-founder of Blueprint. Conducted research at MIT CSAIL and DUSP on LLM post-training and applied AI systems.

Arden

TierB Tier

BatchSpring 2026

Team Size2

StatusActive

LocationSan Francisco, CA, USA

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