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AI that earns its place in your product.

We add AI where it measurably helps — answering questions about documents with citations, grading written and spoken answers, reading scanned pages — and we are honest about where a simpler, deterministic approach is better. Keys stay on the server, user data is only sent with consent, and every AI feature has a fallback.

Services

Problems we solve

  1. 01

    Staff spending hours reading, sorting or correcting documents

  2. 02

    An AI demo that has never been made reliable for production

  3. 03

    Privacy concerns about sending user data to AI providers

  4. 04

    Unpredictable AI costs

Capabilities

Technical capabilities

  • 01

    LLM integrations: Anthropic, OpenAI-compatible APIs, Groq

  • 02

    Answers grounded in your documents, with page citations

  • 03

    Speech-to-text with Whisper

  • 04

    On-device OCR, scanning and translation with ML Kit and Tesseract

  • 05

    Model fallbacks, retries and cost controls

  • 06

    Consent-gated, server-side key handling

AI & Intelligent Solutions

What you get

  • Use-case assessment
  • Prototype on your real data
  • Production integration
  • Evaluation and monitoring
  • Cost and privacy documentation

Our Work

Project examples

How we work

Our approach

  1. 01

    Discover

    We learn your business, users and constraints, and define what success means.

  2. 02

    Design

    Flows and interfaces are prototyped and validated before code is written.

  3. 03

    Develop

    We engineer in small, reviewed increments you can follow and test.

  4. 04

    Test

    Automated tests, real-device checks, accessibility and performance audits.

  5. 05

    Launch

    Scripted deployment, store submission, monitoring and a rollback plan.

  6. 06

    Evolve

    We measure, maintain and improve the product as your business grows.

FAQ

Frequently asked questions

Which AI model do you use?

The one that fits the task, budget and privacy constraints. We have shipped features on Anthropic and Groq-hosted models, with on-device ML where data should not leave the phone.

Is my data used to train models?

We choose providers and settings that don't train on your data, send the minimum necessary, and keep AI features opt-in where personal data is involved.

What if the AI provider is down?

Our integrations fall back to a second model and retry, and the product degrades gracefully instead of breaking.

Other services

Have an idea? Let's build something exceptional.

Tell us about your project. We reply within two business days with questions or a first approach.

Start your project contact@hanoon-labs.com