AI integration services for mobile apps, web apps and platforms

Add AI to the product you already have.

We plug AI assistants, smart search, document processing and predictive insights into your mobile app, web app or platform — connected to your data, safe for your users, without a rebuild.

Clutch rating
4.8 / 5
apps shipped
200+
to a working AI pilot
2–4 weeks
reply to every request
< 24h
yourapp.comAI connected
Support assistant · connected to Orders, CRM, Help center
Hi! Where is my order #48213? I need it before Friday.
It left our Dallas warehouse this morning and arrives Thursday by 6 PM — a day before Friday.Orders API · tracking #1Z84…
Send me SMS updatesChange addressTalk to a person
68%
tickets solved by AI
4 sec
first reply
24/7
in 30+ languages

An assistant that answers from your orders, CRM and help center

We integrate the models that fit your case
  • OpenAI
  • Claude
  • Gemini
  • Llama
  • Mistral
  • AWS Bedrock
  • Azure OpenAI
What we integrate

AI features your users will actually use.

Pick one feature or a full AI layer. We connect it to your data and ship it inside the product you already have.

Choosing a model

ChatGPT API, private cloud or open source?

Three ways to plug AI into your product.

  • Most popular
    Commercial API

    OpenAI, Claude, Gemini

    Speed to launch
    Data control
    Savings at scale

    BEST FORMVPs, startups, consumer apps

  • Private cloud

    Azure, Bedrock, Vertex

    Speed to launch
    Data control
    Savings at scale

    BEST FOREnterprise, healthcare, fintech

  • Open source

    Llama, Mistral

    Speed to launch
    Data control
    Savings at scale

    BEST FORHigh volume, strict privacy, offline

Not sure? Go hybrid.

We route complex tasks to a commercial model and high-volume ones to open source.

Help me choose
AI by industry

What AI can add to your industry’s app.

Features we can plug into the apps we already build for these industries.

Healthcare

Symptom checker & triage

Patients describe symptoms in the app and get routed to the right doctor — clinicians stay in charge.

  • EHR
  • Booking
  • Chat

HOW THE AI FEATURE WORKS

  1. Patient describes symptoms“Fever and sore throat, 2 days”
  2. AI asks 3 follow-up questionsBased on clinical guidelines
  3. Suggests a GP video visit todayDoctor reviews the summary
  4. Visit booked with notes readyNo repeat questions
How integration works

An AI layer between your product and the models.

Your app stays as it is. We add a secure AI layer that talks to the right model, your data and your tools — and keeps costs and quality in check.

  1. 01 · YOUR PRODUCT

    Mobile, web or platform

    Users ask, search, upload or tap — in the interface they already know.

    • iOS & Android apps
    • Web apps & dashboards
    • Internal tools
  2. 02 · AI LAYER BY PERPETIO

    Orchestration & guardrails

    Routes each request, adds the right context and checks every answer.

    • Prompt & model routing
    • RAG over your data
    • Guardrails & PII masking
    • Monitoring & cost control
  3. 03 · MODELS

    Best model for each task

    Commercial or open-source, in the cloud or self-hosted — no lock-in.

    • GPT · Claude · Gemini
    • Llama · Mistral
    • Vision & speech models
  4. 04 · YOUR DATA & TOOLS

    Systems it connects to

    Answers come from your real data, and actions happen in your tools.

    • Databases & APIs
    • CRM & ERP
    • Docs, wikis & files

AI your team can trust

Every feature we ship is measured, safe and under your control.

  • Your data is never used to train models
  • Answers grounded in your sources
  • Human approval for sensitive actions
  • GDPR and HIPAA-ready setups
  • Quality tests before every release
  • Cost per request tracked from day one
Tech stack

Proven tools, no vendor lock-in.

We choose models and tools for your use case, budget and privacy needs — and can switch them later without rewriting your app.

LLMs & models

  • OpenAI
  • Claude
  • Gemini
  • Llama
  • Mistral
  • Hugging Face

Frameworks

  • LangChain
  • LangGraph
  • LlamaIndex
  • MCP
  • Vercel AI SDK
  • Ollama

Vector & data

  • pgvector
  • Qdrant
  • Elasticsearch
  • Redis
  • Supabase
  • MongoDB

Cloud AI

  • AWS Bedrock
  • Azure OpenAI
  • Vertex AI

On-device

  • Core ML
  • ML Kit
  • TensorFlow Lite

Quality & ops

  • LangSmith
  • Langfuse
  • Datadog
Case studies

AI we have already shipped to real users.

All case studies
How we work

From idea to a live AI feature in weeks.

We start small, prove value on your data and only then scale.

  1. 011–2 weeks

    AI audit

    Find the 2–3 use cases with the biggest ROI.

  2. 021 week

    Data check

    Review data quality, access and privacy rules.

  3. 032–4 weeks

    Pilot

    A working AI feature on real data, with quality metrics.

  4. 043–8 weeks

    Integration

    Connect it to your app, APIs and user flows.

  5. 051 week

    Launch

    Roll out to users with monitoring and guardrails.

  6. 06ongoing

    Improve

    Tune prompts, models and costs from real usage.

  • AI audit

    from 2 weeks

    For teams that know they need AI but not where to start.

    • Use-case map with ROI
    • Data and risk review
    • Model and cost estimate
  • Most popular

    Pilot / PoC

    2–4 weeks

    Prove it works on your data before you invest more.

    • One AI feature, end to end
    • Quality and cost metrics
    • Go / no-go recommendation
  • Full integration

    1–3 months

    Ship AI features into your live product.

    • Design, build and QA
    • App and API integration
    • Monitoring and handover
  • Dedicated AI team

    monthly

    An ongoing team that keeps adding AI to your product.

    • AI engineers + PM + QA
    • Roadmap and sprints
    • Scale up or down anytime
FAQ

Questions teams ask before adding AI.

Didn't find yours? Ask us directly — we reply within 24 hours.

How much does AI integration cost?

An AI audit starts from about $5,000, and a working pilot on your data usually costs $10,000–$25,000. A full integration depends on the number of features and systems; you get a detailed estimate after a free call. Model usage costs are estimated upfront and tracked per request.

Do we need to rebuild our app?

No. We add an AI layer next to your existing backend and connect it through APIs, so your app, design and users stay the same. Most features ship as an update to the current product.

Which AI model will you use?

The one that fits the task, budget and privacy rules — GPT, Claude, Gemini or open-source models like Llama and Mistral. Our setup lets you switch models later without rewriting the app.

Is our data safe?

Yes. We use enterprise APIs that do not train on your data, mask personal data, apply role-based access and can host models in your own cloud. We work under NDA and set up GDPR- and HIPAA-ready architectures.

How do you stop AI from making things up?

We ground answers in your own sources (RAG), show citations, test quality on real examples before release and add guardrails and human approval for sensitive actions.

How fast can we see results?

A working pilot on your data usually takes 2–4 weeks. Many clients launch the first AI feature to real users within 6–10 weeks.

Can you add AI to a mobile app?

Yes — that is our core. We combine cloud models with on-device AI (Core ML, ML Kit) for speed, privacy and offline use on iOS and Android.

What are AI integration services?

AI integration services add AI features — assistants, smart search, document processing or predictions — to an existing app or platform. Perpetio connects models like GPT, Claude or Gemini to your data without rebuilding your product.

Let’s add AI to your product.

Tell us what you're working on. You'll get a clear plan, not a sales pitch.

< 24h

Response time

Free

First consultation

NDA

On request

Lara Kushnei

Lara Kushnei

Business Growth Executive

HQ office

Kaupmehe tn 7-120, Tallinn 10114, Estonia

R&D office

8A Yaneva str., Lviv 79026, Ukraine