Benchmark-verified · Feb 2026

The accounting AI that cites its sources.

Purpose-built for IFRS. Not a general chatbot.

5/5 IFRS test cases passed45+ active standards covered
Start for free — no card required →

Why general AI fails in accounting

General-purpose models are trained to sound confident — not to cite the standard.

Hallucinated paragraphs

Cites "IAS 36.12" when the actual rule is §59. 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. IASB amendments silently ignored.

IFRS Buddy vs ChatGPT / Gemini

Feature
IFRS Buddy
ChatGPT / Gemini
Cites exact paragraph
Every response
Often omitted or wrong
RAG-grounded answers
10 verified docs/query
Training data only
Benchmark accuracy
100% verified
Not validated
Official standards library
45+ current docs
General knowledge
Purpose-built for accountants
Yes
General purpose
Traceable citations
[S1], [S2]…
No trail

The same question. A very different answer.

See how cited, verified answers compare to generic AI responses.

"What does IFRS 16.26 require at lease commencement?"
General AI (ChatGPT / Gemini)

"IFRS 16 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…"

No paragraph cited · No source reference
IFRS Buddy

IFRS 16.26 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: IFRS 16.26]. If that rate is not readily determinable, the lessee's incremental borrowing rate is used [S2: IFRS 16.26(b)].

Paragraph cited · 10 sources verified
5/5
IFRS test cases passed
45+
Active standards covered
100%
Benchmark accuracy
<1s
Median response time

Exact citations

Every answer links back to the specific paragraph in the official standard.

RAG-grounded

Retrieves 10 verified source documents per query — not just training memory.

Zero hallucination policy

If the standard 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.