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Corviniti/Industries/Accounting for AI Companies

Industries / AI Companies

Accounting for AI Companies

Accounting built for AI business models: compute-heavy cost structures, usage-based revenue, and the metrics AI investors actually diligence.

Or email info@corviniti.com · book a 30-minute call

Compute Economics

GPU, cloud, and model training costs accounted for and margined correctly.

Usage-Based Revenue

Token, API, and consumption pricing under ASC 606.

AI-Native Metrics

Gross margin and unit economics investors can trust.

100+
Successful transactions completed
20+
Years of experience
$5–50m
Average size of transaction
$20–200m
Average market cap of clients across tech, manufacturing & services
Why Corviniti for AI Companies

New business models, old accounting standards

AI companies run into accounting questions that traditional SaaS playbooks do not answer. Where do model training costs sit: R&D expense, capitalized software, or inventory-like cost of revenue? How is usage-based and token-based pricing recognized under ASC 606? What belongs in gross margin when compute is your largest cost?

These are judgment calls, and investors and auditors are looking at them closely. Corviniti documents positions on compute costs, revenue recognition, and margin presentation that hold up in diligence and audit, grounded in the standards rather than in what a template assumed.

From seed-stage research labs to companies scaling enterprise AI revenue, we build the accounting infrastructure the model demands.

What we handle for AI companies

Compute cost accountingTraining versus inference costs classified, and gross margin defined defensibly.
Usage-based revenueToken, API, and consumption models under ASC 606.
R&D capitalizationModel development costs under ASC 350-40 and ASC 730.
Cloud commitmentsAccounting for reserved capacity and take-or-pay compute deals.
Equity & instrumentsSAFEs, converts, and stock compensation for AI-stage cap tables.
Investor reportingThe unit economics AI diligence teams rebuild first.

Scope Your Project

Why Choose Us?

Big 4 expertise,
boutique agility

Corviniti provides accounting and advisory services with the technical depth of a Big 4 practice and the responsiveness of a dedicated boutique. We bring senior-level attention to every engagement and stay involved until the work is complete.

Get In Touch

Startups and US capital markets are our focus

From growth-stage companies preparing for their first capital raise to established companies navigating complex public market transactions, Corviniti provides the accounting and advisory support that capital markets activity requires.

  • Startup and Fundraising Focused (including Venture Capital)
  • Built for Capital Markets (including IPO and SPAC transactions)
  • Boutique Attention
  • Big Four Experience
  • Transaction Deadline Oriented
Contact Us

Contact Us to Learn More

Call: (347) 472-1115
Email: info@corviniti.com

The best way to get started is to complete the form below. Tell us a bit about your business and we will advise on how best to get started.

We will get back to you within 24 hours.

Ro Sokhi, CPA
Ro Sokhi, CPA
Founder · Big Four trained · 20+ years

We will get back to you within 24 hours.

Frequently Asked Questions

Should model training costs be capitalized or expensed?

It depends on what is being built and for whom. Costs may be R&D expense, capitalizable internal-use software, or cost of revenue depending on the facts. The position needs to be documented, because it moves both margin and burn.

How should usage-based AI revenue be recognized?

Usage-based arrangements are typically recognized as usage occurs, but minimum commitments, prepaid credits, and enterprise terms complicate the pattern. We map the contract terms to ASC 606 and document the model.

What do AI investors focus on in accounting diligence?

Gross margin definition and revenue quality. Diligence teams rebuild margin with compute fully loaded and test whether usage revenue is recurring. Companies with documented, consistent positions clear this quickly.