هذه الصفحة متاحة حاليًا بالإنجليزية فقط.
AI & Automation
Practical AI: LLM-powered features, retrieval over your own documents, and workflow automation, designed with evaluation and guardrails so it works reliably, not just in a demo.
What you get
- Use-case assessment and feasibility check
- Prototype with measurable evaluation
- Production integration and monitoring
- Data privacy and guardrail design
Why it matters
- Start with a small, testable pilot
- Honest view of what AI can and can't do for you
- Privacy-aware designs for sensitive data
How we deliver
- 01 Discovery
- 02 Planning
- 03 Design
- 04 Development
- 05 QA
- 06 Launch & Support
Technology
- Python
- LLM APIs
- Vector databases
- RAG
- TypeScript
Questions
Can AI run on our private data?
Yes. We design retrieval and access controls so only permitted data is used, and can use self-hosted or enterprise-API models where required.
How do you measure quality?
We define evaluation sets with you up front and track them as the system changes.
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