
Technology
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Compliance Automation
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YC W26
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Valuation:
Undisclosed

Last Updated:
March 24, 2026

Builds an AI-native platform that automates internal audit workflows for pre-IPO and public companies, turning hours of manual scoping, flowcharting, and control testing into review-ready outputs within minutes.
Oxus automates scoping (what to audit, risk assessment across financial statements, sub-accounts, and business units), stakeholder walkthrough documentation (turning notes into flowcharts in minutes vs. 5-15 hours), evidence review (digging through spreadsheets, PDFs, screenshots, and emails), and control testing (sifting through 200-page documents for signatures, matching orders to invoices, reviewing system access). Enterprise-grade security with customer-hosted deployment options. Onboarding early customers at pre-IPO and public companies.
Three MIT-founded team's YC W26 participation signals imminent fundraising. The founding team combines Federal Reserve, D.E. Shaw, JPMorgan, and BCG backgrounds with MIT AI/CS degrees, giving them both technical credibility and financial domain expertise that enterprise audit buyers require. Likely expansion beyond SOX into broader GRC frameworks. The top-5 most upvoted launch in YC W26 batch signals strong community validation.
Oxus uses generative AI to instantly produce dozens of realistic video ad variations with synthetic actors and voices, enabling rapid A/B testing and performance optimization at scale.
Instead of hiring actors and a film crew for every ad, Oxus lets you type what you want and an AI creates a realistic video ad with a virtual spokesperson in minutes.
It's like having a Hollywood studio in your laptop, except the actors never complain, never need coffee breaks, and can speak 20 languages before lunch.
Oxus automates internal SOX compliance audits using LLMs to transform manual scoping, documentation review, and control testing into review-ready outputs in minutes.
Instead of auditors spending weeks reading thousands of documents to check if a company follows the rules, Oxus's AI reads everything in minutes and flags exactly what needs attention.
It's like replacing an army of accountants with magnifying glasses with one super-accountant who has X-ray vision and never needs to sleep.
Oxus applies machine learning to analyze ad performance data across thousands of creative variations, automatically identifying winning patterns in visuals, scripts, and audience targeting to optimize future ad generation.
Oxus's AI watches which ads perform best, figures out why, and automatically makes the next batch of ads smarter—like a marketing team that learns from every single click in real time.
It's like having a focus group of millions that votes with their thumbs, and an AI director who rewrites the script between every take based on the applause.
Janet Liu: MIT BS in Computer Science, Economics, Data Science, and Finance; digital payments research at the Federal Reserve; investment strategy at D.E. Shaw. Christine Watts: MIT BS in Computer Science, Economics, Data Science, and Finance; built AI products for fintech; finance at JPMorgan. Melinda Liu: MIT BS in Artificial Intelligence; built ML systems for early- and growth-stage startups; consulting at BCG and NERA. All three are MIT graduates with deep finance and AI expertise.