Rakeshkumar isn't taking new orders for this project right now. Here are some similar projects to explore.
You will get Custom LLM Fine-Tuning & RAG — Enterprise Knowledge AI Systems
Top Rated
Top Rated
Project details
Off-the-shelf LLMs don't know your business. They hallucinate, give generic answers, and can't access your internal data. Fine-tuning and RAG fix this.
I'm Rakeshkumar Patel, CEO of Space-O Technologies. We build enterprise knowledge AI — systems that answer from YOUR data with 95%+ accuracy and zero hallucination.
What We Build:
• RAG Pipelines: Connect LLMs to your documents, databases, and APIs. Every answer cites its source
• Fine-Tuned Models: Train OpenAI, LLaMA, or Mistral on your proprietary data
• Vector Databases: Pinecone, ChromaDB, Weaviate — matched to your scale
• Knowledge Search: Query 10,000+ docs in seconds with contextual AI
Our Track Record:
• DocoMatic: Enterprise doc Q&A processing 50K+ pages with OpenAI and RAG
• SyntheticMass: Healthcare data pipeline handling millions of records
• Custom GPTs for legal, finance, and HR at Fortune 500 companies
Why Not Just Use ChatGPT?
It doesn't know your processes, docs, or compliance rules. Our RAG grounds every response in your actual data — with access controls, audit trails, and citations.
Tech: LangChain, LlamaIndex, Pinecone, ChromaDB, OpenAI, HuggingFace, Python
500+ projects | Top Rated Plus | 16 years
I'm Rakeshkumar Patel, CEO of Space-O Technologies. We build enterprise knowledge AI — systems that answer from YOUR data with 95%+ accuracy and zero hallucination.
What We Build:
• RAG Pipelines: Connect LLMs to your documents, databases, and APIs. Every answer cites its source
• Fine-Tuned Models: Train OpenAI, LLaMA, or Mistral on your proprietary data
• Vector Databases: Pinecone, ChromaDB, Weaviate — matched to your scale
• Knowledge Search: Query 10,000+ docs in seconds with contextual AI
Our Track Record:
• DocoMatic: Enterprise doc Q&A processing 50K+ pages with OpenAI and RAG
• SyntheticMass: Healthcare data pipeline handling millions of records
• Custom GPTs for legal, finance, and HR at Fortune 500 companies
Why Not Just Use ChatGPT?
It doesn't know your processes, docs, or compliance rules. Our RAG grounds every response in your actual data — with access controls, audit trails, and citations.
Tech: LangChain, LlamaIndex, Pinecone, ChromaDB, OpenAI, HuggingFace, Python
500+ projects | Top Rated Plus | 16 years
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, BERT, ChatGPT, Google AutoML, NLTK, NumPy, NVIDIA AI Platform, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlow, Vertex AI, Word2vecWhat's included
| Service Tiers |
Starter
$1,499
|
Standard
$4,999
|
Advanced
$9,999
|
|---|---|---|---|
| Delivery Time | 10 days | 21 days | 45 days |
Number of Revisions | 2 | 4 | Unlimited |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Data Source
+$499
Custom Fine-Tuning
+$1,999
Express Delivery
+$399Frequently asked questions
150 reviews
(135)
(8)
(2)
(2)
(3)
This project doesn't have any reviews.
SP
Sandeep P.
Mar 15, 2026
You will get Complete AI Transformation - Strategy to Deployment
Excellent experience working with Rakeshkumar. Clear communication, strong technical understanding, and timely delivery. The AI strategy and implementation guidance were extremely valuable. Highly recommended.
EE
Ed Chetan E.
Mar 1, 2026
You will get AI Strategy Audit & Roadmap - Custom AI Implementation Plan
Excellent Team! Efficient, met deadlines and solutions oriented.
DN
DESMOND N.
Oct 23, 2024
Photo editing app
DR
Daniel R.
Oct 1, 2024
AI English assessment
Terrible communication, total lack of technical skills, very poor knowledge of LLM and AI, NOT recommended , the keep bargaining for full payment even after they were not
AB
Alan B.
Sep 18, 2024
App Development/Redevelopment
Your changing of project managers was an issue, but the quality of the app after we received it was horrible. There was a lot of bugs, you guys should really pick your workers.
About Rakeshkumar
Full-Stack Development | Mobile, Web, AI/ML | Custom Software | SaaS
99%
Job Success
Ahmedabad, India - 7:12 am local time
✳️ Complete Development Services:
→ Mobile App Development (iOS, Android, React Native, Flutter, Swift, Kotlin)
→ Web & SaaS Platforms (Next.js, React, Vue, Angular, TypeScript)
→ Backend & API Engineering (Node.js, NestJS, Python, Go, Ruby on Rails)
→ AI Agents & Agentic Systems (LangGraph, CrewAI, AutoGen, multi-agent orchestration, autonomous workflows, tool-use)
→ AI Automation & Workflow Integration (n8n, Make, Zapier, MCP servers, cross-tool integrations, business process automation)
→ LLM Integration & Custom AI (OpenAI GPT-4o, Claude Sonnet/Opus, Gemini, LLaMA, fine-tuning, embeddings)
→ Voice AI & Conversational AI (Vapi, Retell, LiveKit, ElevenLabs, Whisper, real-time interaction)
→ RAG & Knowledge Systems (LangChain, LlamaIndex, Pinecone, Weaviate, ChromaDB)
→ Custom Software & Enterprise Solutions
→ E-commerce & Marketplace Development
→ Database & Cloud (Postgres, MongoDB, AWS, GCP, Azure, Kubernetes, Docker, Terraform)
→ UI/UX Design & Frontend Excellence
→ Quality Assurance & Security
→ AI MVP Rescue — Lovable, Base44, Bolt, Replit → Production-Grade
✳️ AI Agents, Automation & Agentic Systems We Build:
- Customer support agents that handle tier-1 tickets autonomously
- Sales agents that qualify leads, book meetings, and follow up
- Internal ops agents that run on schedule and integrate with your stack
- Voice agents (inbound + outbound) for receptionist, sales, and support
- Multi-agent workflows that delegate tasks between specialized AI workers
- RAG-powered knowledge agents over your enterprise data
- Custom AI assistants with memory, tool-use, and reasoning
- Cross-tool AI automation pipelines (n8n, Make, Zapier) with AI-driven decision-making
- AI-powered business process automation across CRM, sales, marketing, and ops
✳️ What Sets Us Apart:
✓ Proven Track Record — 5 unicorn-stage apps shipped, $1.4B+ in combined client funding raised, 115M+ combined downloads (named brands in Featured Clients below)
✓ Full-Stack Excellence — Mobile, web, backend, AI, cloud, voice — complete development under one roof
✓ AI-Accelerated Delivery — We ship with Claude Code, Cursor, OpenClaw, and GitHub Copilot
✓ Always Up-to-Date — We adopt the latest LLMs, agentic frameworks, and AI dev tools the day they're production-ready
✓ Rapid MVP — Weeks, not months, with venture-grade quality
✓ Built for Scale — Architecture that handles millions of users from day one
✓ Transparent Process — Daily updates, weekly sprints, direct access to senior leadership
✓ Dedicated Team — Engineers, designers, QA, AI specialists, Customer Success Manager
✓ End-to-End Ownership — From concept validation through launch and growth
✳️ We Scale AI-Generated MVPs to Production:
Built v1 on Lovable, Base44, Bolt, or Replit and hit the wall when you tried to scale, hire, or raise?
What We do:
- Architectural audit + risk report on AI-generated codebases
- Refactor → production-grade (typed, tested, observable, secure)
- Migration from vibe-coded prototypes to real stacks (Next.js, NestJS, React Native, FastAPI, Postgres)
- Ship the v2 your investors can do due diligence on
We read the code first, then quote second. No assumptions, no inflated estimates.
✳️ Free Consultation — What You Get:
✅ Deep understanding of your business operations and the technical opportunities inside them
✅ Expert solutions with honest, no-fluff feedback
✅ Detailed analysis of technical challenges and how to overcome them
✅ Clear timeline and cost estimates for your project
✅ Technology stack recommendations and architecture planning
Whether you need mobile apps, web platforms, SaaS products, AI integration, AI agents, voice agents, AI automation, marketplaces, or enterprise solutions, my team and I craft products that captivate users and attract investment.
My combination of 16+ years of founder experience, hands-on technical depth, and business insight lets me convert complex challenges into refined, ship-ready solutions.
Looking forward to connecting with you!
Steps for completing your project
After purchasing the project, send requirements so Rakeshkumar can start the project.
Delivery time starts when Rakeshkumar receives requirements from you.
Rakeshkumar works on your project following the steps below.
Revisions may occur after the delivery date.
Data Audit & Architecture
Review your data sources, document types, and access patterns. Design the RAG pipeline architecture, select vector database, and define chunking strategy.
Data Ingestion & Processing
Build data connectors, implement document parsing and chunking. Process your content into vector embeddings and load into the vector database.