
SimpleBackups
codebeat
Ottomatik
CodeRabbit
LaunchBoard.dev
DeepSource
UNPWNED
Launch-readiness audits for AI-built apps.

Firstech provides seamlessly process image cash letters and NACHA formatted ACH File. We also offer BAI and EDI format reporting to our clients, which others dont.

Website, pricing, platforms and company facts side by side.
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| Website | axonbuild.com | firstechpayments.com |
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| Platforms | — | |
| Company | — | 1984 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of AxonBuild yet.
As a subsidiary of a financial institution, FirsTech provides unique opportunities for you that differentiate us from the competition. We can seamlessly provide you with the ability to process image cash letters and NACHA formatted ACH files, as well as provide specific reporting—such as BAI and...
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FirsTech: History & Heritage
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As answered by people managing AxonBuild and FirsTech.
AxonBuild's answer
AxonBuild publishes its own data: 26 real audits of AI-built apps, with the failure rates and score distribution public. Every audit checks the same 12 launch-readiness areas, and every finding is confirmed against the actual code and pinned to a file and line, so there is nothing generic in the report.
AxonBuild's answer
Most alternatives are automated scanners. Scanners are good at telling you a protection exists; they cannot tell you whether it holds. In 3 of 21 audits, scanners flagged 33 to 44 known CVEs, and none were reachable from the app. AxonBuild verifies what actually breaks, ranks it by consequence, and tells you what to ignore.
AxonBuild's answer
Founders and small teams who built an app with AI tools like Lovable, Bolt, Cursor, or v0, and are about to take real users, real data, or real payments. Usually non-security people who need to know what would break before customers find it.
AxonBuild's answer
AxonBuild started with auditing apps built with AI coding tools and finding the same failures over and over: policies that pass a publish check but do not hold, backups nobody ever restored, errors recorded nowhere. After 26 audits, zero had come out launch-ready, so the findings became a scored methodology and the data became public.
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