# AutoPlanet Corporation — Complete Knowledge Base # https://autoplanetcorp.com # Last Updated: 2026-05-05 # Language: English (India) # Contact: +91-7904914455 | sales@autoplanetcorp.com ================================================================ SECTION 1: COMPANY OVERVIEW ================================================================ AutoPlanet Corporation is an enterprise AI automation company founded in 2024 and headquartered in Villupuram, Tamil Nadu, India. Mission: To make enterprise-grade AI accessible to businesses of every size, eliminating the gap between what AI can do and what businesses actually use it for. Core Belief: Every business process that involves reading, writing, deciding, or routing can be automated with AI. We build the systems that make this real. Founder: Suriya Service Area: India (primary), Global (remote) Headquarters: Villupuram, Tamil Nadu, India 605602 ================================================================ SECTION 2: SERVICES — DETAILED BREAKDOWN ================================================================ -------------------------------------------------------------- SERVICE 1: Custom LLM Development -------------------------------------------------------------- What It Is: We build private, domain-specific Large Language Models trained on your organization's proprietary data. Unlike generic models (ChatGPT, Gemini), a custom LLM understands your terminology, processes, and produces outputs aligned with your business logic. Technical Process: 1. Data Audit: We analyze your existing data (databases, PDFs, wikis, CRM exports, support tickets). 2. Base Model Selection: We choose the optimal foundation model: - Llama 3.x (Meta) — best for general enterprise use - Mistral — best for European data compliance - Gemma (Google) — best for lightweight deployment 3. Fine-Tuning: Using techniques including: - LoRA (Low-Rank Adaptation) - QLoRA — quantized fine-tuning - RLHF (Reinforcement Learning from Human Feedback) 4. RAG Integration: We build a Retrieval-Augmented Generation pipeline using vector databases (Pinecone, Qdrant, Chroma) 5. Evaluation: Benchmarked against real use cases with metrics including accuracy, latency, and hallucination rate. 6. Deployment: Deployed to your infrastructure (AWS, GCP, Azure, or On-prem). Pricing: Custom quotes. Typical range: ₹3,00,000 — ₹25,00,000 -------------------------------------------------------------- SERVICE 2: AI SaaS Platform Development -------------------------------------------------------------- What It Is: End-to-end development of AI-powered software-as-a-service platforms. We build production-grade SaaS with authentication, multi-tenancy, subscription billing, and embedded AI. Tech Stack: - Frontend: Next.js 16, React 19, TypeScript, Vanilla CSS - Backend: Next.js API Routes / Node.js / Python FastAPI - Database: PostgreSQL, Redis - AI Layer: LangChain, OpenAI API, Custom LLMs - Infrastructure: Vercel, AWS, Docker Pricing: Custom quotes. Typical range: ₹5,00,000 — ₹40,00,000. -------------------------------------------------------------- SERVICE 3: Workflow Automation -------------------------------------------------------------- What It Is: AI-driven process automation that identifies repetitive manual tasks and replaces them with intelligent automated workflows. Our clients report an average 83% reduction in manual task volume. ================================================================ SECTION 3: TECHNOLOGY & EXPERTISE ================================================================ AI/ML Expertise: - Large Language Models (GPT, Llama, Mistral, Gemma) - Fine-Tuning (LoRA, QLoRA, RLHF, DPO) - RAG (Retrieval-Augmented Generation) - Vector Databases (Pinecone, Qdrant, Chroma, pgvector) - Prompt Engineering & Optimization - AI Agents (LangChain, LangGraph, CrewAI) Software Engineering: - TypeScript, Python - Next.js, React, Node.js, FastAPI - PostgreSQL, Redis, Elasticsearch - Docker, Vercel, AWS ================================================================ SECTION 4: FREQUENTLY ASKED QUESTIONS ================================================================ Q: How much does a custom LLM cost? A: Projects range from ₹3L to ₹25L depending on model size and complexity. Q: Can you work with my existing data? A: Yes. We work with databases, PDFs, CRM exports, and any text-based source. Q: How long does a project take? A: Custom LLMs: 30-90 days. SaaS platforms: 60-120 days. Workflow automation: 14-60 days. ================================================================ SECTION 5: CONTACT & ENGAGEMENT ================================================================ Website: https://autoplanetcorp.com Email: sales@autoplanetcorp.com Phone: +91-7904914455 LinkedIn: https://www.linkedin.com/company/autoplanet-corporation Free Architecture Review: https://autoplanetcorp.com/#cta ================================================================ END OF KNOWLEDGE BASE ================================================================