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AI integrationAI Integration Services

App369 integrates AI and LLMs into your mobile and web applications, from intelligent chatbots to predictive analytics and workflow automation.

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Fiverr
5.0 · 126 reviews
Own product
Workspace369
Fixed-price offers from
$450

What we build

AI Integration Services

01

LLM Integration

Integration of OpenAI GPT, Google Gemini, and Anthropic Claude into your applications for intelligent text generation, summarization, and conversational AI. We use LangChain for orchestration, retrieval-augmented generation (RAG) for domain-specific knowledge, and prompt engineering for reliable, production-grade outputs.

02

Computer Vision

Image recognition, object detection, and visual analysis using TensorFlow, Google Vision AI, and custom-trained models. Applications include product recognition for e-commerce, document scanning and OCR, quality inspection for manufacturing, and medical image analysis with HIPAA-compliant processing.

03

Natural Language Processing

Text analysis, sentiment detection, entity extraction, and language understanding for intelligent document processing. We build systems that classify customer feedback, extract data from unstructured documents, summarize long-form content, and detect intent in user messages.

04

Predictive Analytics

Machine learning models for demand forecasting, customer churn prediction, pricing optimization, and business intelligence. We deploy models on Google Vertex AI with automated retraining pipelines.

05

AI Chatbots & Virtual Assistants

Intelligent chatbots that understand context, maintain conversation history, and handle complex multi-turn interactions. Our chatbots integrate with your knowledge base via RAG, escalate to human agents when needed, and improve over time through feedback loops and conversation analytics.

06

Workflow Automation

AI-powered automation of repetitive business processes including email classification and routing, invoice processing, content moderation, lead scoring, and report generation.

How it works

Our process

  1. AI Use Case Assessment

    We evaluate your business processes to identify high-impact AI opportunities, assess data readiness, and define measurable success criteria, ensuring AI investment delivers clear ROI.

  2. Data Preparation & Architecture

    We audit existing data assets, design data pipelines, select the optimal AI approach (pre-built API, fine-tuned model, or custom training), and architect the integration with your existing tech stack.

  3. AI Development & Integration

    App369 integrates AI capabilities using OpenAI API, Google Vertex AI, or custom models with LangChain orchestration. We build prompt pipelines, implement RAG, and connect to your application backend.

  4. Testing & Validation

    Comprehensive testing including accuracy benchmarking, edge case testing, adversarial input testing for security, latency optimization, and A/B testing against non-AI baselines to quantify improvement.

  5. Production Deployment

    We deploy AI features with fallback mechanisms, implement rate limiting and cost controls for API usage, configure monitoring dashboards, and set up alerting for model degradation.

  6. Monitoring & Optimization

    Ongoing monitoring of AI performance, prompt optimization based on user interactions, model updates as new capabilities become available, and cost optimization of API usage.

Technologies

  • OpenAI API
  • Google Vertex AI
  • TensorFlow
  • LangChain
  • Python
  • Firebase ML

Questions

Frequently asked questions

How much does AI integration cost?

Cost depends on scope, platforms and integrations. Our rates are published on the fee structure page, and the free app cost calculator gives a range for an AI feature with every assumption listed. We send a fixed quote after reviewing your brief. Usage-based API costs from model providers are separate and depend on volume.

What business processes can AI automate?

Good candidates are repetitive, text-heavy tasks: answering common customer questions, classifying and extracting data from documents such as invoices and contracts, drafting content for review, forecasting demand, and flagging unusual transactions. We start with one process, measure it, then expand.

How long does it take to implement AI features?

Integrating a pre-built LLM API for chatbot or content generation takes 4-8 weeks. Building a custom recommendation engine or NLP pipeline takes 2-4 months. Training custom computer vision or predictive models takes 3-6 months including data preparation. App369 uses LangChain for rapid LLM orchestration to accelerate delivery.

AI vs traditional automation: what is the difference?

AI automation handles unstructured data, learns from patterns, and improves over time. Traditional automation processes a form field; AI reads and understands an entire document. Traditional automation routes tickets by keyword; AI understands intent and sentiment. App369 recommends starting with traditional automation for simple workflows and layering AI where decisions require understanding context or language.

What data do I need to implement AI?

Pre-built APIs like OpenAI GPT and Google Vision require no proprietary data. They work out of the box. App369 helps assess your existing data assets and select the right AI approach based on available data.

How do you handle AI privacy and security?

App369 uses API-based integrations where data is not stored by the AI provider, deploys models on private cloud infrastructure when needed, anonymizes PII before processing, implements rate limiting and input validation to prevent prompt injection attacks, maintains audit logs, and ensures compliance with GDPR, CCPA, and HIPAA where applicable.

Fixed-price services

Prefer a fixed price?

Fixed scope, fixed price, paid upfront. The work happens in writing; no call needed.

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Make Your App Intelligent

AI is transforming every industry. Read our guide on AI and LLMs for business automation, or get a detailed estimate for integrating AI into your application by email, usually within one business day, or book a consultation ($100 per 15 minutes, paid upfront).

Get in touch View pricing

Fiverr reviews / 95 on app work

What buyers said about this kind of work

All 126 reviews
  • “Working with Simon makes everything run so smoothly and better than I could ask for it. Amazingly communicative, extremely knowledgeable of coding and the backend processes. I strongly recommend.”
    A buyer in the United States, January 2026. App development on Fiverr
  • “Working with Simon has been an absolute pleasure. He’s not only incredibly skilled with his code, but he also brought so much care and attention to detail, especially when creating a custom section template for my Shopify site. He made the entire process smooth and collaborative, and consistently went above and beyond to make sure everything looked and functioned beautifully, very much the way I've envisioned. Highly recommend him for anyone looking for thoughtful, top-notch development support!”
    A buyer in China, April 2025. Custom order on Fiverr
  • “Very detailed and professional. Understands full scope of project before advancing and has honest but critical feedback. such a pleasure with consultation and can't wait to get started.”
    A buyer in the United States, July 2024. Custom order on Fiverr

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