Digital Utopia

Software development services

AI Integration Services

AI integration services wire modern AI into the software you already run — instead of bolting on a separate chatbot. We add LLM and machine-learning capabilities to your existing product: the retrieval, evaluation, and guardrails that make them reliable, connected to your data and your workflows.

What you get

Into your product, not beside it

AI features that live where your users already are, using your data and your auth — not a disconnected widget in the corner.

Reliable by construction

Retrieval, validation, fallbacks, and evals so the integration holds up on the third edge case, not just the demo.

Vendor-flexible

OpenAI, Anthropic, or open models — we integrate the right one for your accuracy, cost, and data-privacy constraints, and keep you able to switch.

What we deliver

  • AI capabilities integrated into your app
  • Retrieval over your existing data
  • Evaluation and quality monitoring
  • Guardrails and fallback handling
  • Documentation and handover

How we work

  1. 01

    Discover

    We pressure-test the idea, map the users, and define the smallest thing worth building. You leave with a plan, not a proposal.

  2. 02

    Design

    Flows, prototypes, and a design system that makes the product feel real before a line of production code ships.

  3. 03

    Build

    Weekly releases in your stack. You see working software every Friday and steer with real feedback, not guesses.

  4. 04

    Scale

    We harden, instrument, and document the system — then hand off cleanly, or stay embedded. It runs without us.

Frequently asked questions

Can you add AI to our existing application?

Yes — it's a core part of what we do. We integrate models into your current codebase and data, with the retrieval and guardrails to make them dependable, rather than shipping a separate tool.

Will AI integration require rebuilding our app?

Rarely. We integrate into your existing architecture and data. Sometimes we'll recommend adding a retrieval layer or vector store, but the core app stays yours.

How long does an AI integration take?

A focused first integration is often 4–8 weeks, depending on how clean your data is and how deep the feature goes. A short discovery sharpens the estimate.

Let’s build

Have something worth building?

Tell us what you’re working on. We’ll come back within one business day with real, specific thoughts — not a sales deck.