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Stackinova Technologies Private Limited

AI Integration Add AI where it actually moves a business metric

Add AI where it actually moves a business metric

We integrate AI capabilities — from LLM-powered features to automated classification and search — into your existing product or internal tools. The focus is always a specific workflow that gets faster or cheaper, not AI as a headline feature.

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What you'll get

  • LLM feature integration (chat, summarization, drafting)
  • Semantic & vector search
  • Workflow automation with AI-assisted steps
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WHAT'S INCLUDED

Everything you need for AI Integration

We integrate AI capabilities — from LLM-powered features to automated classification and search — into your existing product or internal tools. The focus is always a specific workflow that gets faster or cheaper, not AI as a headline feature.

100%
Scoped to your project, not a template
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LLM feature integration (chat, summarization, drafting)

LLM feature integration (chat, summarization, drafting) — handled end-to-end as part of the engagement.

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Semantic & vector search

Semantic & vector search — scoped and delivered by senior engineers.

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Workflow automation with AI-assisted steps

Workflow automation with AI-assisted steps — built in from day one, not bolted on later.

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Challenges we solve

01

Manual, repetitive review work

AI-assisted triage and classification that cuts manual review time without removing human sign-off.

02

Search that doesn't understand intent

Semantic/vector search layered onto your existing content or product catalog.

03

AI features that don't fit your stack

Integration designed around your existing APIs, data, and auth — not a bolt-on demo.

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How We Approach AI Integration

  • Discovery

    We start with a conversation about your goals, constraints, and existing setup, so the plan for AI Integration fits how you actually work.

  • Build & Deliver

    Implementation, testing, and a clean handover — scoped to your timeline and budget, not a fixed template.

  • Ongoing Support

    An optional ongoing plan for monitoring, updates, and support once you're live.

Question & Answer

AI Integration, Answered

Contact Us

We're not tied to one vendor — the right model depends on your latency, cost, and accuracy needs. We'll recommend and benchmark options (including open-source and hosted models) as part of scoping, and design the integration so swapping providers later isn't a rewrite.

Timelines vary by scope — a focused engagement typically runs a few weeks, larger builds or integrations longer. You'll get a clear timeline after a short discovery call, not a guess upfront.

Yes — every engagement can include an ongoing plan for monitoring, updates, and support so things keep running smoothly after we hand off.

Ready to start?

Let's talk about your AI Integration project

Tell us what you're trying to build, and we'll get back to you with next steps — no obligation.

Request a Quote