BigIntend

AI Development Services

Empowering enterprises with custom Generative AI models, intelligent RAG knowledge pipelines, autonomous AI agents, and production-ready computer vision.

Overview

Transforming Complex Business Workflows with Artificial Intelligence

At BigIntend, we don't just experiment with AI — we engineer resilient, enterprise-ready machine learning solutions tailored to solve specific operational bottlenecks, automate repetitive tasks, and unlock deep predictive insights from unstructured corporate data.

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100% Data Privacy

Dedicated VPC or on-premise deployments with zero data leakage.

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High-Speed RAG

Sub-second vector retrieval over millions of proprietary documents.

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Total IP Ownership

All fine-tuned weights, embeddings, and code belong entirely to you.

Capabilities

Our AI Development Offerings

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Generative AI & Custom LLMs

Domain-specific model fine-tuning (LoRA/QLoRA) on open-source weights (LLaMA 3, Mistral) and enterprise copilot development.

  • Private Enterprise AI Chatbots
  • Prompt Engineering & Output Guardrails
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RAG & Vector Search Systems

High-speed vector search over PDFs, manuals, and enterprise databases with zero hallucination and exact document citations.

  • Pinecone, Milvus & Qdrant Integration
  • Real-Time Hybrid Semantic Re-ranking
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Predictive ML & Deep Learning

High-accuracy neural networks for classification, revenue prediction, churn mitigation, and automated fraud prevention.

  • Real-Time Anomaly & Fraud Detection
  • Personalization & Recommendation Engines
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Computer Vision & OCR

Real-time video processing, YOLOv8 defect inspection, facial verification, and intelligent automated invoice/OCR extraction.

  • Automated Quality Control & Detection
  • Intelligent Document & Invoice OCR
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Autonomous Multi-Agent AI

Collaborative agent swarms (CrewAI, LangGraph) capable of complex multi-step reasoning, API execution, and data workflows.

  • Self-Reflecting Workflow Automations
  • Third-Party CRM & ERP Tool Orchestration
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MLOps & Cloud Deployment

Low-latency Triton & vLLM inference server setups, drift monitoring, and auto-scaling GPU clusters on AWS, GCP, or Azure.

  • Low-Latency GPU Model Inference
  • Automated Retraining & Performance Telemetry
Tech Stack

AI Technologies & Frameworks

OpenAI GPT-4o Claude 3.5 LLaMA 3 PyTorch TensorFlow LangChain LlamaIndex Hugging Face Pinecone Milvus Qdrant YOLOv8 OpenCV AWS SageMaker Google Vertex AI vLLM Docker CUDA
Process

Our 5-Step AI Delivery Lifecycle

1

Discovery & Data Audit

We analyze your data feasibility, latency constraints, and define measurable business accuracy benchmarks.

2

Data Preparation & Vectorization

ETL parsing, tokenization, vector embeddings generation, and setting up secure data pipelines.

3

Model Training & Fine-Tuning

Fine-tuning domain models (LoRA) or engineering high-speed RAG retrieval architectures on GPUs.

4

Safety Guardrails & Validation

Rigorous hallucination prevention, adversarial testing, output sanitization, and stress testing.

5

Production Deployment & MLOps

Zero-downtime API endpoint deployment with continuous drift monitoring and telemetry.

FAQs

Frequently Asked Questions

You retain 100% complete ownership of all trained model weights, source code, data embeddings, and intellectual property. Comprehensive NDAs are signed before any work begins.
We deploy private models inside your dedicated Virtual Private Cloud (AWS, GCP, Azure) or on-premise hardware. Your data is strictly quarantined and never used to train public commercial models.
A specialized Proof-of-Concept (PoC) or RAG pipeline takes 2 to 4 weeks. Full custom model training and enterprise ERP integrations take 6 to 10 weeks.
Quick Inquiry

Book AI Consultation

Discuss your project scope and get a detailed architectural blueprint within 24 hours.

🔒 Strict NDA & 100% Confidentiality
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Need Immediate Assistance?

Talk directly to our AI technical lead.

+91 97234 37632