Custom AI Fine-Tuning, RAG & LLM Systems
Enterprise Retrieval-Augmented Generation (RAG), custom LoRA fine-tuning, private vector databases (Pinecone/Qdrant), and secure on-premise AI models.
Digitonica Enterprise
99.6%
Retrieval Precision
< 0.5%
Hallucination Rate
< 120ms
Vector Latency
100% Private
Data Privacy
Production-grade code standards, sub-second latency, and daily transparent sprint updates.
Starting Package From
$999
About This Service
Vectors
Pinecone & Qdrant
Models
Llama 3 & Claude
Privacy
VPC / On-Prem
Benchmark
RAGAS Validated
Custom AI Fine-Tuning, RAG & LLM Systems
Everything you need to know
Private, Domain-Specific AI Models Trained on Your Proprietary Data
Off-the-shelf LLMs lack deep domain expertise. We build enterprise RAG pipelines and custom fine-tuned models (Llama 3, DeepSeek, Mistral) that extract complex insights from internal PDFs, contracts, codebases, and databases with sub-second accuracy and zero data leaks.
How It Works
Data Cleanse & Ingestion
Extracting and cleaning enterprise knowledge docs.
Vector Indexing & Chunking
Setting up Pinecone/Qdrant vector stores with semantic embeddings.
Prompt Chains & Guardrails
Structuring retrieval logic and deterministic fallback policies.
API Integration & Benchmark
REST API endpoints and performance evaluation.
Why Choose This Service
Advanced Hybrid Search (RAG)
Dense vector embeddings combined with BM25 keyword re-ranking for pinpoint source citations.
Custom LoRA & Model Fine-Tuning
Fine-tune open-weight LLMs on your company tone, legal terminology, or coding standards.
SOC2 & HIPAA Compliant Security
Self-hosted or VPC deployments guaranteeing your proprietary data never trains public models.
Automated Document Ingestion
OCR parsing for PDFs, Word docs, spreadsheets, and live SQL database queries.
What Makes Us Different
Production AI Researchers
We implement semantic chunking, re-ranking algorithms, and evaluation benchmarks (RAGAS).
Choose Your Plan
Transparent tiered pricing with clear deliverables, timeline guarantees, and dedicated engineering.
Enterprise RAG Knowledge Base
Production RAG engine indexing your knowledge docs with sub-second retrieval & citations.
What's Included:
- Document Ingestion Pipeline (PDF, DOCX, CSV)
- Vector Database Setup (Pinecone / Qdrant)
- Hybrid Semantic Search + BM25 Re-Ranking
- Secure REST API / Webhooks Integration
- 14 Days Delivery & Documentation
Full LLM Fine-Tuning & Deployment
Custom fine-tuned open-source model (Llama 3/Mistral) deployed on your private cloud VPC.
What's Included:
- Custom Dataset Preparation & Quality Filtering
- LoRA / QLoRA Fine-Tuning Run & Hyperparameter Tuning
- Private Cloud VPC Deployment (AWS/RunPod/Vast)
- Low-Latency vLLM / Ollama Inference Server
- Zero-Data Retention Architecture
- 28 Days Delivery & 60 Days Support
Payment Policy
- Full advance payment required
- All services prepaid
Revision
- 2 free revisions included
- Additional revisions at extra cost
Refund Policy
- No refund after design approval
- 50% refund before design starts
Delivery
- 24-72 hour delivery
- Source files included
Transparency & Clarity
Frequently Asked
Questions
We kick off within 24-48 hours of our initial strategy alignment. Sprints are strictly milestone-driven: 3-5 days for audits and conversion landing pages, 14 days for production-ready AI SaaS MVPs, and 21-30 days for full-scale enterprise platforms.
Have a specific project question? Chat on WhatsApp
Book a Free Consultation
Select a service and pick your preferred date & time.
Price
৳500
