What We Offer?
Serices
AIPractix builds production-grade AI systems for real-world use.
We work as a long-term AI and engineering partner — from system design to deployment and evolution. We build complete, working system where AI is part of real workflows.
How We Work
- Focus on production readiness from day one
- Design for scalability, maintainability, and long-term evolution
- Measure success by real adoption and operational impact
AI Search Systems for products and documents
Our core strength

We design and deploy AI-powered search and retrieval systems tailored to real business data.
- Product & catalog search (image + semantic search for e-commerce and fashion)
- Internal document search (PDFs, contracts, reports, knowledge bases)
- Recommendation and ranking systems
These systems are built on a unified search core and delivered as complete, working solutions — including indexing, search UI, dashboards, and APIs.
👉 This service is ideal for organizations struggling with discovery, retrieval, or information overload. Interested in this use case? Contact us to discuss your system.
Applied AI Systems
AI embedded real-time into operational workflows, or build an end-to-end system from zero.

We apply practical AI capabilities to automate and optimize daily operations.
- OCR and structured data extraction for accounting, HR, and operations
- Computer vision systems (Face recognition, visual analysis, object detection, image-based search)
- RAG-based internal assistants for controlled, private knowledge access
These are not standalone AI tools, but system components embedded into real operational workflows — where OCR outputs become structured documents that seamlessly feed into search, retrieval, or internal assistants.
👉 Interested in this use case? Contact us to discuss your system.
AI Partner & System Builder
For organizations that want AI without building an internal AI team

We work as a long-term AI and engineering partner.
- Translate business problems into AI-ready system designs
- Architect end-to-end solutions (AI, backend, data, infrastructure)
- Build, deploy, and operate production systems
- Evolve systems over time based on real usage and feedback
This model is best suited for organizations that want AI capabilities without building an internal AI team from scratch.



















