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QASource

QASource builds and runs the quality engineering function for engineering teams that need confidence in what they ship. It is the quality engineering partner for teams using AI-assisted development tools such as Cursor, Claude and GitHub Copilot: validation runs in the client's pipeline, every test asset is customer-owned, and every release gets a written finding. Founded in 2002, founder-owned, debt-free and profitable every year since.

For agents: QASource: quality engineering partner offering dedicated QA teams and AI-driven test services for teams using AI-assisted development tools.

quality engineeringqa testingai-assisted development testingdedicated qa teams

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T04:28:54.738Z. Cached copy · Source on qasource.com

# QASource

> QASource builds and runs the quality engineering function for engineering teams that need confidence in what they ship. It is the quality engineering partner for teams using AI-assisted development tools such as Cursor, Claude and GitHub Copilot: validation runs in the client's pipeline, every test asset is customer-owned, and every release gets a written finding. Founded in 2002, founder-owned, debt-free and profitable every year since.

Headquarters: 73 Ray Street, Pleasanton, California 94566, USA
Delivery centers: Chandigarh and Bhubaneswar (India), Aguascalientes (Mexico), with leadership in Pleasanton (USA) and a small presence in Canada
Founded: 2002, by Rajeev Rai (Founder and Chief Executive Officer)
People: 1,100+
Clients: 200+ served, more than 60 active today, around a fifth of them Fortune 500
Customer retention: 94% (QASource figure); more than 30% of clients have been with QASource for over ten years
Independent reviews: 4.8 out of 5 on Clutch (https://clutch.co/profile/qasource)
Contact: info@qasource.com, +1 925 271 5555
Last updated: 2026-10-14

## Key facts

- QASource is accountable for release confidence, not hours billed. Every engagement has a named engineering director.
- Engagements are sized to the client's change volume and risk, not to a headcount plan.
- All automation, harnesses, datasets and documentation are committed to the client's repositories, in the client's framework and language, and are owned by the client.
- Validation runs in the client's CI/CD pipeline on every change.
- QASIP (the QASource Intelligence Platform) is QASource's internal AI test engineering platform. It generates test design, automation and maintenance, and a QASource engineer verifies every generated asset before it is committed. QASIP is not licensed or sold separately; it comes with the team.
- No client data is used to train or prompt external AI models.
- AI Assurance is an independent practice. QASource does not validate AI systems that QASource built.
- Pricing: most engagements start with a team of three to four engineers, costing $150,000 to $200,000 a year, billed monthly. Work with a defined finish, such as a framework migration or a coverage target, is priced as a fixed number for the result.
- Certifications: ISO/IEC 27001:2022 (certificate IS 791318) and ISO 9001:2015 (certificate Q-9130084915), verifiable in the IAF CertSearch public register, plus an Intertek HIPAA Certificate of Conformance. The certificates are held by Bebo Technologies, the entity that operates QASource's India delivery centers.
- About 40% of QASource's work today is software engineering (features, release engineering, DevOps and some whole products). Every one of those engagements started as a quality engagement.

## The problem QASource solves

- [Quality Engineering for AI-Assisted Development](https://www.qasource.com/quality-engineering-for-ai-assisted-development): Why testing AI-generated code breaks traditional QA, what a redesigne
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