KNOWLEDGE BASE
AI Software Company: The Right Partner for AI-Focused Product Development
Table of Contents — English
What's Behind the 'AI Software Company' Label?
The AI software company label covers a very wide spectrum: on one end, simple integrators who just connect the ChatGPT API to a chatbot interface; on the other, real AI engineers building RAG architecture, custom model fine-tuning, and MLOps infrastructure.
5 Core Questions in AI Software Company Evaluation
- Can the company really build RAG architecture, or do they just connect an API?
- Do they have a concrete approach to data privacy and compliance?
- Is there a published AI product with real users in the portfolio?
- Are they flexible on model choice or locked to a single provider?
- Do they have a plan for AI project sustainability?
The Realistic Scope of AI Software Development
Most companies start with the goal of 'training our own AI model,' but this is often unnecessary and costly.
Risks to Avoid When Choosing an AI Software Company
The most common risk is 'AI' being used for marketing purposes without real engineering depth behind it.
PROJX Digital's AI Software Approach
PROJX Digital centers AI integration projects on RAG architecture. KVKK and data privacy assessment is the first step of every AI project.
Frequently Asked Questions
Key Takeaways
- 'ai yazilim sirketi' 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.
- This pillar page links to five in-depth supporting pages in this cluster.