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ParitySoft AI

AI Integration

We help you add AI capabilities to new and existing apps in ways that are useful, measurable and responsible. That can mean integrating large language model APIs, building retrieval over your own content, or running models on-device for privacy and speed.

Discuss your project See our work

Problems we solve

If any of these sound familiar, this service is a good fit.

  • You want to add AI to your product but are unsure where it creates real value.
  • Users need to search, summarize or ask questions about large amounts of content.
  • Privacy requirements mean some data should never leave the device.
  • You need to control AI costs, latency and output quality.

Capabilities

  • LLM features

    Chat, drafting, summarization and classification using leading model APIs.

  • Retrieval (RAG)

    Answers grounded in your own documents and data, with source references.

  • On-device ML

    Core ML, ML Kit and lightweight models for private, offline features.

  • Guardrails

    Input/output validation, rate limits, cost controls and evaluation.

Technology stack

  • LLM APIs
  • RAG
  • Embeddings
  • Core ML
  • ML Kit
  • TensorFlow Lite
  • Python

What you get

  • AI features scoped to clear user outcomes
  • Server-side key management and data-handling safeguards
  • Measurable quality through evaluation before and after launch

How we approach it

  1. Use-case review

    Identify tasks where AI measurably improves the user experience.

  2. Prototype

    Test feasibility, quality and cost on real examples.

  3. Integrate

    Build the feature into your app with security and fallbacks.

  4. Evaluate

    Monitor quality, latency and cost, and iterate.

Frequently asked questions

Will our data be used to train AI models?

We select providers and configurations based on your data-handling requirements and document how data flows. Provider terms vary, so we review them with you before integration.

Can AI run without an internet connection?

Some features can run on-device using smaller models. We'll tell you which of your use cases are realistic offline.

Have a AI Integration project in mind?

Tell us about your goals and timeline, and we'll reply with next steps.

Start a Project