The accounting AI that cites its sources.
Purpose-built for US GAAP. Not a general chatbot.
Why general AI fails in accounting
General-purpose models are trained to sound confident — not to cite the codification.
Hallucinated paragraphs
Cites "ASC 842-20-25-2" when the actual rule is in 25-1. Confident, wrong, unverifiable.
No source trail
Impossible to verify where an answer came from. Audit risk left entirely to you.
Training data cutoff
No guarantee standards are current. FASB updates silently ignored.
US GAAP Buddy vs ChatGPT / Gemini
The same question. A very different answer.
See how cited, verified answers compare to generic AI responses.
"ASC 842 requires lessees to recognize a right-of-use asset and a lease liability on the balance sheet at the commencement date. The measurement is based on the present value of future lease payments…"
ASC 842-20-30-1 requires a lessee, at the commencement date, to measure the right-of-use asset and the lease liability initially at the present value of the lease payments not yet paid, discounted at the rate implicit in the lease [S1: ASC 842-20-30-1]. If that rate is not readily determinable, the lessee's incremental borrowing rate is used [S2: ASC 842-20-30-3].
Exact citations
Every answer links back to the specific paragraph in the official codification.
RAG-grounded
Retrieves 10 verified source documents per query — not just training memory.
Zero hallucination policy
If the codification does not address the question, the model says so explicitly.
Built for accountants
Trained vocabulary, journal-entry fluency, and exam-grade explanations.
See the difference yourself
10 free queries — no account, no credit card required.
See it in action — explore a standard