Custom Machine Learning, LLMs & Intelligent Systems

AI Development

Syntherix AI · Syntherix AI Private Limited

Custom ML models, LLM integrations, RAG pipelines, computer vision, NLP, and production AI systems.

Syntherix AI Private Limited delivers end-to-end AI development — from discovery and data strategy through model training, LLM integration, and production deployment. We build custom machine learning models, retrieval-augmented generation (RAG) systems, AI agents, computer vision pipelines, and NLP solutions that solve real business problems — not science experiments.

syntherix-ai · live
LLM
RAG
CV
NLP
>Training pipeline active
>Embeddings indexed
>Inference: 42ms
Process

How We Deliver

Our proven engagement model for ai development — transparent milestones from day one.

1

Discovery & Data Audit

We map your use case, audit data quality and availability, define success metrics, and identify the right AI approach — classical ML, deep learning, LLM, or hybrid.

2

Architecture & Prototype

Rapid proof-of-concept with baseline models, embedding pipelines, or agent workflows. You see measurable results before committing to full build.

3

Build & Train

Production model development — fine-tuning, RAG index construction, CV pipeline training, feature engineering, and rigorous evaluation against holdout sets.

4

Deploy & Monitor

Containerized deployment with CI/CD, A/B testing, latency optimization, cost controls, and continuous monitoring for drift and quality degradation.

Capabilities

AI Development Expertise

Deep technical capabilities Syntherix AI brings to every engagement.

Large Language Models & RAG

Integrate GPT-4, Claude, Gemini, or open-source models with retrieval-augmented generation so answers are grounded in your documents, wikis, and databases — reducing hallucinations.

AI Agents & Automation

Multi-step agents that plan, call APIs, query databases, and execute workflows — customer support bots, sales assistants, internal copilots, and research agents.

Computer Vision

Object detection, OCR, document layout analysis, quality inspection, facial recognition (with consent), and video analytics for manufacturing, retail, and security.

Natural Language Processing

Text classification, entity extraction, sentiment analysis, topic modeling, multilingual support, and semantic search across millions of documents.

Predictive Analytics

Forecasting demand, churn prediction, fraud detection, recommendation engines, and anomaly detection using gradient boosting, neural nets, and time-series models.

MLOps & Infrastructure

Model registries, feature stores, experiment tracking, automated retraining, GPU orchestration on AWS/GCP/Azure, and cost-optimized inference endpoints.

Features

What's Included

Technical building blocks and best practices in every project.

Fine-tuned LLMs on your domain vocabulary and tone

Vector databases — Pinecone, Weaviate, pgvector, Chroma

REST and GraphQL APIs for model inference at scale

PII redaction, prompt injection guards, and audit logs

Sub-second inference with caching and batching strategies

Hybrid pipelines combining rules, ML, and LLM reasoning

Use Cases

Who It's For

Real-world scenarios where this service delivers measurable impact.

Enterprise Knowledge Copilot

Employees ask questions in natural language and get cited answers from Confluence, SharePoint, PDFs, and ticketing systems — cutting search time dramatically.

Document Intelligence

Extract fields from invoices, contracts, medical forms, and KYC documents with human-in-the-loop review queues for finance, legal, and operations teams.

Customer Support AI

Tier-1 deflection with context-aware responses, ticket summarization, and agent assist that drafts replies grounded in your help center and CRM history.

Visual Quality Inspection

Real-time defect detection on production lines using camera feeds — reducing scrap rates and manual inspection labor in manufacturing.

Technologies

Stacks and platforms we work with daily.

PythonPyTorchTensorFlowOpenAI APIAnthropic ClaudeLangChainLlamaIndexHugging Facescikit-learnAWS SageMakerGoogle Vertex AIDockerKubernetesMLflowWeights & Biases

Industries

Sectors where we have deep experience.

  • Financial Services
  • Healthcare & Life Sciences
  • Legal & Compliance
  • E-commerce & Retail
  • Manufacturing
  • SaaS & Technology

Deliverables

What you receive at project completion.

  • Technical architecture document
  • Trained models with evaluation reports
  • Production API endpoints
  • Admin dashboard for monitoring
  • Runbooks and handoff documentation
  • Team training sessions

Why Syntherix AI for AI Development?

Syntherix AI Private Limited delivers end-to-end AI development — from discovery and data strategy through model training, LLM integration, and production deployment. We build custom machine learning models, retrieval-augmented generation (RAG) systems, AI agents, computer vision pipelines, and NLP solutions that solve real business problems — not science experiments.

Key Highlights

  • Production-grade ML and LLM systems — not just prototypes
  • RAG, fine-tuning, and AI agent architectures
  • Computer vision for documents, video, and IoT feeds
  • NLP for classification, extraction, and summarization
  • MLOps with monitoring, versioning, and drift detection
  • Privacy-first design with on-prem and VPC deployment options

Business Outcomes

  • Reduce manual review time by 60–80% with document AI
  • Deploy LLM copilots grounded on your proprietary data
  • Custom models trained on your domain-specific datasets
  • Full MLOps pipelines with observability and rollback
  • Cross-functional teams spanning ML, backend, and product
  • Compliance-aware architecture for regulated industries

Ready to start your AI Development project?

Talk to Syntherix AI Private Limited about your requirements — we'll scope the work, share a timeline, and get you to production fast.