AI & Automation Solutions India | ChatGPT, LLM, Document Processing | iSocialize

AI That Does Real Work —
Not Just Demos

LLM integrations, document automation, intelligent chatbots, and workflow automation. Built on GPT-4, Claude, and Gemini. Fixed price. Deployed to production.

30+ AI Projects Live Enterprise Data Privacy 4–12 Week Delivery

AI Solutions That Replace Manual Work

Not AI for the sake of AI — only where it genuinely saves time, money, or improves accuracy.

Intelligent Chatbots

Customer support, lead qualification, internal HR bots, and knowledge base assistants. Trained on your documentation. Deployed on your website, WhatsApp, or Slack.

Document Processing

Invoice extraction, contract review, form digitisation, and certificate verification. 90–98% accuracy on structured documents with a human-review queue for exceptions.

AI-Powered Search

Semantic search engines for large product catalogues, document libraries, and knowledge bases. Users find what they mean — not just what they typed.

Workflow Automation

Multi-step automations connecting your CRM, ERP, email, and third-party APIs. Replace manual copy-paste tasks with intelligent pipelines that run 24/7.

Language & Translation

Multilingual content generation, document translation with context preservation, and sentiment analysis for customer feedback at scale.

AI Analytics

Predictive demand forecasting, anomaly detection in financial data, and churn prediction models trained on your historical data.

AI Models We Work With

We are model-agnostic. We recommend the right one for your task, budget, and data privacy requirements.

GPT-4o (OpenAI) Claude 3.5 (Anthropic) Gemini 1.5 (Google) Llama 3 (Self-hosted) Mistral (EU Self-hosted) Whisper (Voice to Text) LangChain Vector DBs (Pinecone) n8n · Make · Zapier
Cloud API

OpenAI, Anthropic, Google enterprise tiers — your data is NOT used for model training.

Self-Hosted

Llama 3 or Mistral on your own infrastructure. Data never leaves your environment.

Hybrid

Sensitive data processed locally. Non-sensitive queries routed to cloud models for cost efficiency.

Proof of Concept First — Then Production

We never start with a full build. Every AI project begins with a working prototype on your real data so you can validate before committing to scale.

Start With a POC
1
Discovery & Data Audit

We assess your existing data, identify the highest-ROI automation targets, and recommend the right model and architecture. No commitment required.

2
Proof of Concept (POC)

A working prototype on your actual data in 2–3 weeks. You see real accuracy numbers and real output quality before committing to a full build.

3
Integration Design

API design, data pipeline architecture, and security review. We map how the AI layer connects to your existing CRM, ERP, or database.

4
Build & Fine-Tune

Production development with iterative prompt engineering, RAG implementation, and accuracy optimisation. Weekly demos on your real data.

5
Testing & Accuracy Validation

Precision and recall testing on a held-out dataset. We agree a minimum accuracy threshold before deployment.

6
Deployment & Monitoring

Production deployment with logging, cost monitoring, and accuracy dashboards. You see exactly what the model is doing and what it costs.

Services That Work With AI

Web Applications

Build AI-powered dashboards, search interfaces, and chatbot UI. React + AI APIs working seamlessly.

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Cloud Services

GPU-optimized infrastructure for ML model training and inference. Scalable architecture for high-volume AI workloads.

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Custom Software

Backend systems and APIs that power your AI features. Microservices architecture ready for AI layers.

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Cybersecurity

Data privacy and security reviews for AI systems handling sensitive information. GDPR and DPDP compliance.

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Mobile Apps

Integrate AI features into iOS and Android apps. On-device ML and cloud API integration.

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Fixed-Price AI Project Packages

Every AI project starts with a free scoping call to understand your data and goals.

Single Automation
₹1.5 – 5 lakh
$2,500 – $8,000 USD
  • One workflow or chatbot
  • LLM API integration
  • Basic prompt engineering
  • Connect to one data source
  • 4–6 weeks delivery
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Enterprise AI Platform
₹20 lakh+
$30,000+ USD
  • Self-hosted model option
  • Multi-model pipeline architecture
  • GDPR / DPDP data compliance
  • SSO + enterprise security
  • Timeline agreed in discovery
Discuss Your Platform

Common Questions

Not always. Modern LLMs like GPT-4 and Gemini work well with little to no training data for many tasks. For predictive ML models you typically need 6–12 months of historical data. We assess your data situation in the initial consultation.

We use enterprise API tiers for all clients, which means your data is not used for model training. For highly sensitive data we can deploy open-source models on your own infrastructure so your data never leaves your environment.

For structured documents, accuracy typically reaches 90–98% with Vision AI plus LLMs. For highly varied or handwritten documents expect 75–90% with a human review queue for exceptions. We prototype on your actual documents first.

A single automation workflow or chatbot takes 4–6 weeks. Complex integrations take 8–12 weeks. Full AI products with custom model training take 12–16+ weeks. We provide a milestone plan in the proposal.

Two components: API usage fees paid to OpenAI, Anthropic, or Google — typically $50–$500/month depending on volume — and an optional maintenance retainer with us. We estimate both before the project starts.

Ready to Automate Something Real?

Book a free 30-minute AI scoping call. We'll identify your highest-ROI automation target and tell you exactly what's feasible before you commit to anything.

Ready to build something great? Get a free consultation — no commitment required.
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