AI Development Services

Custom AI development services — LLM integration, RAG pipelines, AI chatbots, computer vision, predictive analytics, and intelligent automation for businesses worldwide.

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AI & Machine Learning

Build smarter products with AI at the core.

We don't just add a chatbot — we architect intelligence into your product.

From custom LLM integrations to full ML pipelines, we build AI systems that automate operations, surface actionable insights, and create experiences that feel genuinely intelligent — not just bolted on.

✓ Custom LLM integration (OpenAI GPT-4, Anthropic Claude, Google Gemini)

✓ Retrieval-Augmented Generation (RAG) pipelines for domain-specific AI

✓ AI chatbots and conversational interfaces with memory and context

✓ Computer vision — image recognition, object detection, OCR

✓ Predictive analytics, ML model development and deployment

✓ Intelligent workflow automation and AI agent orchestration

✓ AI-powered SaaS products built from the ground up

Python LangChain OpenAI Claude API HuggingFace FastAPI TensorFlow Pinecone AWS SageMaker

Start a Project → See Our Work

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AI & Machine Learning

20+

AI Projects Delivered

2-4wk

Avg. Prototype Time

LLMs Integrated

98%

Client Satisfaction

Use Cases

Who benefits from this service?

Real-world applications across industries and company sizes.

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E-commerce & Retail

Product recommendation engines, AI-powered search, customer support bots, and demand forecasting.

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Healthcare

Medical document analysis, appointment scheduling AI, symptom checkers, and clinical decision support.

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Legal & Finance

Contract analysis, document summarization, compliance monitoring, and financial forecasting models.

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Customer Support

24/7 multilingual AI agents that resolve tickets, escalate intelligently, and learn from every interaction.

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Manufacturing

Predictive maintenance, quality control vision systems, and supply chain optimization AI.

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EdTech

Personalized learning paths, automated grading, AI tutors, and content generation for course creators.

Our Process

How we deliver it.

Discovery & Data Audit

We assess your data, goals, and existing stack to identify the highest-ROI AI opportunities.

Architecture & Proof of Concept

We prototype the AI solution and validate performance before full development begins.

Build & Fine-tune

Full development — model training, API integration, prompt engineering, and system testing.

Deploy & Monitor

Production deployment with monitoring, feedback loops, and continuous model improvement.

FAQ

Questions answered.

Do I need a large dataset to build AI features?+

Not necessarily. Many powerful AI features use pre-trained models (like GPT-4 or Claude) that don't require your own training data. We assess what's feasible with your data and recommend the most practical approach.

How long does an AI project take?+

A chatbot or RAG integration can be live in 2–4 weeks. Custom ML models and complex pipelines typically take 2–4 months depending on data availability and scope.

Can you integrate AI into our existing product?+

Yes — most of our AI work is integrating intelligence into existing platforms via APIs, webhooks, or embedded SDKs. We don't require a rebuild.

How do you ensure AI outputs are accurate and safe?+

We implement evaluation frameworks, human-in-the-loop checkpoints, output filtering, and hallucination detection strategies as part of every AI deployment.

What's the ongoing cost of running AI features?+

It depends on usage volume and the model used. We design systems to be cost-efficient — often caching responses, batching requests, and choosing the right model size for each task.

Case studies

AI products we have shipped.

Explore real projects where AI drives product value — from review intelligence to kitchen operations.

Revisaar case study → KitchenBdy case study →

Explore More

Other services we offer.

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AI Development

LLM integration, automation & ML models

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CRM & ERP

Custom & integrated business systems

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Web Applications

Scalable SaaS, portals & platforms

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Mobile Apps

iOS, Android & cross-platform

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IoT Prototyping

Hardware to cloud, end-to-end

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Staff Augmentation

Dedicated engineers on demand