Home Services Artificial Intelligence
Enterprise AI & Machine Learning

AI Development Company

Techphin Labs is a pioneering AI development company in India engineering private, secure, and production-ready artificial intelligence systems. From private RAG document intelligence and domain-fine-tuned LLMs to autonomous multi-agent systems and predictive ML pipelines — we turn complex enterprise data into autonomous competitive advantages.

Hire AI Developers View AI Projects

40+

AI Models in Production

99.2%

Model Accuracy Benchmark

Zero

Data Leakage SLA

4.9★

Enterprise Client Score

Our Core Capabilities

Custom AI Development Services

Enterprise artificial intelligence solutions engineered with strict data privacy boundaries and high-accuracy benchmarks.

Custom LLMs & Fine-Tuning

Domain-specific fine-tuning of open-source models (Llama 3, Mistral) and proprietary LLMs to match your company's exact tone, domain knowledge, and terminology.

Llama 3 Fine-Tuning LoRA / QLoRA

RAG Knowledge Systems (Private Search)

Retrieval-Augmented Generation (RAG) engines that let your team or customers query thousands of internal PDFs, documents, and databases with zero hallucination.

Vector DBs Pinecone / Qdrant Zero Hallucination

Autonomous AI Agents

Intelligent multi-agent systems built with LangGraph and CrewAI that research, draft reports, execute multi-step business logic, and integrate with external APIs autonomously.

LangGraph CrewAI Multi-Agent

Computer Vision & OCR

Real-time object detection, automated visual quality inspection for manufacturing, facial recognition, and automated document text extraction via OCR.

OpenCV YOLOv8 OCR Extraction

Predictive Machine Learning

Time-series forecasting, customer churn prediction, anomaly detection, and recommendation algorithms trained on your historical enterprise data.

Scikit-Learn PyTorch Forecasting

Private & Compliant AI Deployment

Self-hosted on-premise or private VPC AI deployments ensuring full data privacy, HIPAA/GDPR compliance, and zero data leakage to public models.

Private VPC HIPAA Ready Zero Leakage
Enterprise AI Architecture

Our Enterprise AI Toolchain & Stack

We engineer reliable, scalable AI architectures tailored for enterprise workloads with zero data leakage.

Pillar 01 • Models

Foundational LLMs & Open Weights

Fine-tuning and deploying open-weights models and proprietary frontier LLMs inside your secured corporate VPC with strict data governance.

Llama 3.3 (70B / 405B) Mistral Large DeepSeek-R1 Claude 3.5 Sonnet GPT-4o Omni
Governance: 100% Private VPC Isolated
Pillar 02 • Orchestration

Agentic Frameworks & Stateful DAGs

Multi-agent reasoning loops, deterministic human-in-the-loop workflows, self-correcting code generation, and automated enterprise tool use.

LangGraph / LangChain CrewAI Multi-Agents AutoGen LlamaIndex Workflows Tool Calling APIs
Execution: Deterministic Human-in-the-Loop
Pillar 03 • Retrieval

Vector Search & Semantic Hybrid RAG

Millisecond-latency semantic embeddings, sparse+dense hybrid indexing, Cohere re-ranking, and dynamic chunking to eliminate hallucination.

Pinecone Serverless Qdrant Vector DB pgvector (PostgreSQL) Milvus & Weaviate Cohere ReRank
Latency: Sub-15ms Hybrid Retrieval
Pillar 04 • Infrastructure

Inference Acceleration & MLOps

High-throughput continuous batching, quantized AWQ/GGUF model serving, auto-scaling GPU clusters, and real-time observability telemetry.

vLLM High-Throughput TensorRT-LLM AWS SageMaker / ECS Docker & Kubernetes Arize / Langfuse MLOps
Efficiency: Up to 60% Cloud GPU Cost Reduction
Flexible Engagement Models

Hire AI Developers

Scale your machine learning projects with vetted, senior AI developers in India. Direct communication, strict NDA protection, and rapid proof-of-concept turnaround.

Dedicated AI / ML Engineers

Hire full-time machine learning engineers dedicated exclusively to fine-tuning models, evaluating accuracy, and building pipelines.

  • 160 Hours / Month Full-Time
  • Direct Slack / Jupyter Collab
  • 100% Proprietary Model Ownership
Hire Dedicated AI Engineer

Rapid AI Proof of Concept

Validate your AI product concept within 2 to 3 weeks with a fully functional working prototype on your private dataset.

  • 2-3 Week Rapid Delivery
  • Accuracy Benchmark Report
  • Production Feasibility Roadmap
Launch AI Prototype

Enterprise AI Deployment

End-to-end custom AI software engineering, vector database construction, multi-agent orchestration, and private VPC hosting.

  • Fixed Timeline & Clear Budget
  • Zero Data Leakage Guarantee
  • Ongoing Accuracy Monitoring SLA
Start Enterprise AI Project
Hallucination-Free Intelligence

Enterprise RAG Knowledge Systems

Connect large language models to your proprietary enterprise documents, CRM notes, and relational databases. Our advanced RAG architectures provide instant, verified answers with clickable citations and zero hallucination.

  • Hybrid vector search combining dense embeddings with BM25 keyword matching
  • Multi-tenant data segregation with document-level access permissions
  • Automatic chunking and parsing for PDFs, spreadsheets, and SQL databases
Enterprise RAG Knowledge Systems
Multi-Step Automation

Autonomous AI Agents & Workflows

Move beyond simple chatbots. We construct goal-oriented autonomous AI agents using LangGraph and CrewAI capable of researching, validating information, drafting communications, and executing multi-step API actions autonomously.

  • Multi-agent orchestration with dedicated manager and specialist roles
  • Deterministic state machines preventing infinite loops and unexpected actions
  • Human-in-the-loop validation triggers for sensitive financial or legal operations
Autonomous AI Agents and Workflows
Absolute Confidentiality

Private VPC & On-Premise AI Hosting

Protect your trade secrets and ensure strict GDPR and HIPAA compliance. We deploy fine-tuned open-weight models (Llama 3, Mistral) inside your isolated private VPC or on-premise GPU clusters with zero external API calls. Read our deep technical guide on Enterprise RAG Architecture & Vector Databases.

  • 100% private deployments on AWS SageMaker, GCP Vertex, or on-prem GPUs
  • Zero telemetry or prompt training data sent to third parties
  • Quantized 4-bit and 8-bit model acceleration via vLLM for high throughput
Private VPC AI Deployment
Sector Applications

Enterprise AI Use Cases

How industry leaders leverage our AI architectures to automate complex workflows, cut operational costs, and unlock predictive insights.

Logistics & Supply Chain

Automated email quotation (RFQ) parsing, freight route optimization, and shipment delay prediction.

View Logistics Case Study
Healthcare & MedTech

HIPAA-compliant clinical document summarization, medical imaging computer vision, and patient triage bots.

Explore Healthcare AI
FinTech & Insurance

Instant invoice OCR extraction, loan underwriting risk modeling, and real-time fraud transaction scoring.

Consult FinTech Leads
E-Commerce & Retail

Personalized product recommendation algorithms, semantic search, and autonomous multi-lingual support agents.

Explore Retail AI
The Techphin Advantage

Why Choose Techphin Labs for AI Development?

We bridge the gap between academic AI research and reliable, commercial software that delivers business ROI.

Absolute Data Privacy

We never train public models on your confidential corporate data. Strict VPC isolation guaranteed.

Verified High Accuracy

Automated evaluation benchmarks measure retrieval accuracy and eliminate hallucination before go-live.

Cost-Effective Inference

Optimized model quantization and semantic caching reduce recurring monthly cloud GPU costs by up to 60%.

Full Production Integration

We don't stop at Jupyter notebooks. We package models into high-speed APIs integrated directly into web apps.

100% Model & IP Ownership

All custom weights, training datasets, and orchestration code are 100% your legal property.

Continuous Model Monitoring

Real-time latency monitoring, drift detection, and automated retraining pipelines for long-term accuracy.

Our AI Framework

Our AI Development Process

A secure, data-driven approach to deploying production AI solutions safely and reliably.

01
Data Audit & Feasibility

We evaluate your proprietary datasets, establish privacy boundaries, define measurable accuracy benchmarks, and design model architectures.

02
Fine-Tuning & Pipeline Building

We build high-speed RAG vector stores, fine-tune models, implement multi-agent logic, and construct automated evaluation benchmarks.

03
Private VPC Deployment

Deploy to isolated private VPCs with strict access tokens, real-time latency monitoring, and automated feedback loops for continuous model accuracy.

AI Case Studies

Artificial Intelligence Showcase

Explore production AI models, private RAG engines, and autonomous agents engineered by our team.

IntakeAI RAG Platform
RAG Engine

AIRA Document Knowledge

Private enterprise RAG search platform parsing 100,000+ logistics and quotation emails with zero hallucination and structured extraction.

Read Case Study
DocuFlow OCR Engine
Computer Vision

DocuFlow OCR Automation

Autonomous document parsing engine extracting structured JSON data from complex scanned receipts and medical records with 99.2% accuracy.

Read Case Study
SmartAssist Multi-Agent Support
Autonomous Agents

SmartAssist Multi-Agent Bot

Autonomous customer support AI system resolving 75% of customer inquiries without human intervention via LangChain orchestration.

Read Case Study
HireSmart AI Candidate Screening
NLP Matching

HireSmart AI Screener

Semantic resume parser and talent ranking algorithm analyzing candidates against job criteria without bias.

View AI Projects
Common Questions

Frequently Asked Questions

We combine cutting-edge AI research with commercial software engineering. We build complete, end-to-end solutions — from vector embeddings and fine-tuning to private VPC deployment and user interface integration — while ensuring complete data confidentiality.

We host open-weight models (such as Llama 3 or Mistral) inside your own isolated AWS/GCP VPC or on-premise infrastructure. No corporate data is ever sent to third-party public AI providers, guaranteeing strict HIPAA and GDPR compliance.

RAG (Retrieval-Augmented Generation) connects an LLM to real-time company knowledge (PDFs, SQL databases) to provide accurate answers with source citations. Fine-tuning modifies model weights to learn a specific style, specialized vocabulary, or unique structured reasoning format.

Yes. You can hire dedicated full-time AI engineers, start a 2-3 week proof of concept, or engage our team for turnkey enterprise AI deployments with full daily visibility.
Unlock Autonomous Intelligence

Hire an AI Development Team

Ready to transform your proprietary data into scalable AI software? Book a consultation with our AI architects to receive a free technical feasibility blueprint and quote.

Get a Free AI Consultation