Service detail

AI Apps

Intelligent applications powered by large language models, computer vision, and custom AI pipelines.

Our AI Apps team combines product strategy, engineering, and performance optimization to build solutions that are discoverable, scalable, and ready for long-term growth.

Technology stack

  • Next.js
  • OpenAI API
  • Anthropic Claude
  • LangChain
  • Pinecone / Weaviate
  • Python (FastAPI)
  • Vector embeddings

Scope

Discovery, design, development, testing, and launch support.

Variants

8 implementation variants for different business models.

Outcomes

Performance, conversion quality, and maintainable architecture.

Delivery variants available: 8

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What's included

RAG pipelines over your own documents & data
Conversational AI & copilots embedded in your product
Vision, OCR & document-understanding pipelines
Streaming responses with graceful fallback
Usage monitoring & cost guardrails
Powered by CognifixLabs

AI Apps lives in our dedicated AI lab — see the AI-native products we've already shipped there.

Visit CognifixLabs

Frequently asked questions

What is included in AI Apps delivery?

AI Apps engagements include solution design, UI implementation, core development, QA, and deployment support tailored to your goals.

Which technologies do you use for AI Apps?

Our typical stack for this service includes Next.js, OpenAI API, Anthropic Claude, LangChain, Pinecone / Weaviate, Python (FastAPI), Vector embeddings with architecture choices based on your scale, timelines, and integration needs.

How long does a AI Apps project take?

Timeline depends on scope, but most projects are planned in milestones from discovery to launch, followed by optimization and support.

Can you modernize an existing AI Apps product?

Yes. We can audit and improve existing systems through performance optimization, UX upgrades, feature expansion, and infrastructure hardening.

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