AXOTRIX INTELLIGENCE
Accelerate Your Business with Custom AI.
Enterprise LLM fine-tuning, RAG systems and workflow automation. Built and deployed in weeks, not months.
🛡 SECP Registered·Enterprise-grade·Pakistan-based
AXOTRIX INTELLIGENCE · LIVE DEMO
ONLINE
LIVE DEMO · POWERED BY AXOTRIX AI INFRASTRUCTURE
3+
YEARS BUILDING AI
15+
ENTERPRISE DEPLOYMENTS
10M+
TOKENS PROCESSED DAILY
< 2 WKS
AVERAGE DEPLOYMENT TIME
WHAT WE BUILD
Three Systems. Endless Capability.
Each service is a production system, not a prototype.
HOW RAG WORKS
Your Knowledge. Instantly Queryable.
Watch a live pipeline. Every Axotrix deployment runs this architecture.
Documents
PDF · DB · API
Chunking
512 token segments
Vector Store
Semantic search
Query
Natural language
Response
With citations
< 200ms
RETRIEVAL TIME
99.2%
SOURCE ACCURACY
Any Source
DATA COMPATIBILITY
CONTEXT WINDOW
AI REFERENCE — THE MAXIMUM INPUT A MODEL CAN PROCESS
Real Deployments. Real Results.
Three enterprise engagements. Every metric verifiable.
FINANCIAL SERVICES
Internal Policy RAG for a Regional Bank
A 500-person bank spent 3,000+ hours annually answering internal compliance queries that required searching through 400+ policy documents manually.
We deployed a RAG system ingesting all policy documents, updated weekly. Staff now query in plain English; the system cites the exact policy clause with page reference.
// RESULTS
TIME SPENT ON POLICY QUERIES
92% Reduction
AVERAGE RESPONSE TIME
< 4 Seconds
DOCUMENTS INDEXED
400+
E-COMMERCE
Fine-Tuned Product Classification Model
A national e-commerce platform misclassified 18% of uploaded products, requiring manual review of 12,000+ listings per month — delaying go-live times by days.
Fine-tuned a base LLM on 80,000 historical product listings. Deployed as a real-time API endpoint: new listings submitted, categories returned with confidence scores.
// RESULTS
CLASSIFICATION RATE
97.3% Accuracy
THAN MANUAL REVIEW
18x Faster
SAVED ANNUALLY
PKR 2.4M
LOGISTICS
AI Dispatch & Exception Handling Agent
Operations team manually resolved 200+ daily shipment exceptions — each requiring 15-25 minutes to investigate carrier systems, draft actions, and notify clients.
An AI agent reads exception alerts, queries shipment history, drafts resolution actions, and routes to human review only when confidence falls below 85%.
// RESULTS
EXCEPTION RESOLUTION RATE
80% Automated
RESOLUTION TIME
4 min avg
FOR EDGE CASES
Human Review Only
THE STACK
Production Infrastructure. No Black Boxes.
Every tool we use is enterprise-grade, auditable, and replaceable. You own the deployment.
Anthropic Claude
Foundation model & reasoning
LangChain
Agent orchestration
pgvector + PostgreSQL
Vector storage & retrieval
Pinecone
High-performance vector database
Python FastAPI
Inference API layer
Next.js + Vercel
Frontend & edge deployment
Supabase
Realtime data & authentication
HuggingFace
Fine-tuning pipeline
[ Client / Frontend ]
↓
[ Axotrix API Layer ]
↓
[ RAG Engine ]
↓
[ Vector DB ]
↓
[ LLM Inference ]
↓
[ Fine-tuned Model ]
READY TO BUILD?
Your First Deployment In Under Two Weeks.
We scope, prototype, and deploy. Most clients see measurable ROI within 30 days.
Or reach us directly: hello@axotrix.ai