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AI Development
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AI Development

AI that actually solves your business problem — not just a demo.

25+AI Systems Shipped
60%Avg Task Automation
99.9%Uptime on Deployed Models
3xFaster Decision Making
Overview

Empowering your business with elite AI Development solutions

Harness the power of artificial intelligence with our custom AI development services. We build intelligent systems ranging from LLM-powered chatbots to predictive analytics engines and computer vision pipelines, tailored to your specific business problem.

What's Included

  • LLM Integration & Custom Chatbots
  • AI Automation & Workflow Agents
  • Predictive Analytics & ML Models
  • Computer Vision Solutions
  • RAG (Retrieval-Augmented Generation) Systems
3 – 16 weeks depending on scope
Businesses wanting to automate repetitive workflows
Companies with large document/data repositories needing smart search
AI Development

You'll Receive

Model/architecture documentation
Source code (GitHub repo)
Evaluation & monitoring dashboard

+3 more deliverables

Capabilities

What We Deliver

01

Custom LLM Integration

Connect GPT, Claude, or open-source models into your product with proper prompt engineering and guardrails.

02

RAG & Knowledge Base Systems

Let your AI answer questions using your own company data — docs, PDFs, databases — accurately and securely.

03

AI Agents & Automation

Autonomous agents that handle repetitive tasks — data entry, email triage, report generation — end to end.

04

Predictive & ML Models

Forecasting, churn prediction, recommendation engines, and anomaly detection built on your historical data.

05

Computer Vision

Object detection, OCR, quality inspection, and image classification pipelines for real-world use cases.

06

Model Fine-Tuning & Evaluation

Fine-tune models on your domain data and build evaluation pipelines to track accuracy and drift over time.

How We Work

Our Process

01

Problem Discovery & Feasibility

We identify the right AI approach for your problem and validate feasibility before writing any code.

02

Data Audit & Preparation

We assess your available data, clean it, and structure it for training or retrieval.

03

Prototype & Model Selection

Rapid prototyping with the best-fit model (LLM, custom ML, or hybrid), tested against real scenarios.

04

Integration & Guardrails

We integrate the model into your product with safety checks, rate limiting, and fallback logic.

05

Deployment & Monitoring

Production deployment with logging, evaluation dashboards, and a handover walkthrough for your team.

Tech Stack

LLMs & APIs

OpenAIAnthropic ClaudeGeminiLlamaMistral

ML/Frameworks

PyTorchTensorFlowscikit-learnHugging Face

Vector & RAG

PineconeWeaviateLangChainLlamaIndex

Infra

AWS SageMakerVercel AI SDKDockerFastAPI
Pricing

Transparent Pricing

No hidden fees. No surprises. Choose a plan that fits where you are today.

AI Chatbot / Assistant

₹39,999

/ one-time

Custom LLM-powered chatbot trained on your business content.

  • Up to 1 knowledge base source
  • Custom prompt engineering
  • Website widget integration
  • Basic analytics dashboard
  • 1 month support
Get Started →
Most Popular

RAG & Automation System

₹89,999

/ one-time

Full RAG pipeline with automation agents for internal or customer-facing use.

  • Multiple data source integration
  • Custom agent workflows
  • Role-based access control
  • Evaluation & monitoring dashboard
  • Analytics integration
  • 2 months support
Get Started →

Custom AI Platform

Custom

/ project-based

End-to-end AI product — ML models, agents, or vision systems built for scale.

  • Custom model training/fine-tuning
  • Scalable inference architecture
  • Data pipeline & MLOps setup
  • Admin & analytics panel
  • Ongoing retainer available
Get Started →
Client Stories

"The AI agent they built now handles 70% of our support tickets automatically. Our team finally has time to focus on complex cases."

Ankit Verma

Ankit Verma

Operations Head, SwiftLogix

"They built a RAG system on top of our medical documentation that our staff now use daily. Accuracy and speed exceeded expectations."

Priya Nair

Priya Nair

Founder, MedConnect

FAQs

Common Questions

Do you build with existing LLM APIs or train custom models?

Both — most use cases are best solved with fine-tuned prompts on existing LLMs, but for specialized problems we train custom models. We'll recommend the right fit.

Can the AI use our own company data?

Yes. We build RAG pipelines that let the AI reference your documents, databases, or knowledge base securely, without retraining the model.

How do you prevent the AI from giving wrong answers?

We implement guardrails, source citations, confidence thresholds, and human-in-the-loop review for critical outputs.

Do you handle data privacy and security?

Yes. We follow data minimization practices, secure API handling, and can deploy on-premise or in your private cloud if required.

How long does an AI project take?

Simple chatbot integrations can ship in 2-3 weeks. Custom ML models or multi-agent systems typically take 6-16 weeks depending on data readiness.

Ideal For

Businesses wanting to automate repetitive workflows
Companies with large document/data repositories needing smart search
Startups building AI-native products
Teams needing predictive insights from historical data

What You'll Receive

Model/architecture documentation
Source code (GitHub repo)
Evaluation & monitoring dashboard
Data pipeline documentation
API documentation
Deployment & handover guide

Ready to get started?

Let's build something
exceptional together.

Book a free 30-minute discovery call. No commitment, no pressure — just clarity.