KNOWLEDGE BASE
How to Measure Technical Competence When Choosing an AI Software Company
Table of Contents — English
6 Concrete Ways to Measure Technical Competence
- Detailed answers to RAG architecture questions.
- A live AI product with real users in the portfolio.
- Flexibility in model choice.
- Cost optimization awareness.
- Evaluation methodology.
- Security and privacy awareness.
A Simple Test: 30-Minute Meeting with the Technical Team
The most effective evaluation method is talking directly with the technical team, not sales.
Technical Transparency at PROJX Digital
PROJX Digital openly shares the architecture used in AI projects with clients.
Frequently Asked Questions
We start with a structured Discover phase — mapping your current state, identifying real needs, and defining the right scope before any code is written.
Yes — clause 1 of every PROJX Digital contract. Full source code, git history, and technical documentation, no exceptions.
Depends on scope: 8-16 weeks for web projects, 4-10 months for enterprise software.
Yes. SLA-based monthly packages with a 4-hour critical response guarantee.
Yes. PROJX Digital operates in Turkish, English, and Spanish from its Istanbul and Barcelona offices.
Key Takeaways
- 'ai yazilim sirketi teknik yeterlilik' decisions carry real financial weight — evaluate technical depth and contract terms, not just price.
- PROJX Digital standard: full source code delivery, 90-day warranty, Discover → Design → Develop → Scale.
- Free discovery session at projx.com.tr — no commitment required.
Content Owner:
Projx Digital
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