Anex Solutions
Led by Muhammad Mobeen Ghaffar | Lead AI Architect & Solutions Engineer
We automate expensive manual operations. Our AI Agents and custom software replace grunt work,
reduce operational costs, and help businesses scale faster. With 70+ successful deployments across Healthcare,
Fintech, and Logistics, we deliver measurable business impact.
Case Studies & Outcomes
-
SimplifyAI (Healthcare): AI-powered medical scribe platform. Outcome:
Reduced
documentation time by 70%, saving clinicians 14+ hours/week.
-
Anex Enterprise Suite (Automation): Desktop automation platform. Outcome:
Cut
manual data entry by 95% through Chrome extension integrations.
-
VenoAI (Fintech Intelligence): ML-driven financial forecasting system aggregating data from
25+
news sources. Outcome: Reduced research latency by 80% and improved market prediction
accuracy.
-
Goliath Analytics (Blockchain Data): High-frequency analytics engine processing 100K+ daily
data points with multi-chain support. Outcome: Enabled real-time high-volume asset tracking
and
algorithmic trading signals.
-
DealDemon (Procurement Automation): Automated procurement and inventory system with real-time
stock monitoring. Outcome: Optimized inventory turnover and reduced procurement overhead by
40%.
-
Kodestra (Agency Operations): Centralized dashboard for agency management, unifying client
communication (Slack/Discord) and project milestones. Outcome: Streamlined client onboarding
and project tracking for remote teams.
Our Tech Stack
- AI & Automation: LangChain, LangGraph, OpenAI GPT-4, Claude, RAG Architecture, Agentic
Workflows
- Core Engineering: TypeScript, Node.js, Python, React, Electron
- Infrastructure & Databases: AWS, Google Cloud, Docker, PostgreSQL, Firebase, MongoDB,
Vector Databases
Leadership
-
Muhammad Mobeen Ghaffar - Founder & Principal Architect. FAST-NU CS Graduate. Leading Anex
Solutions since 2020.
Contact & Next Steps
Email: mobeengaffar22@gmail.com
Location: Lahore, Pakistan (Available for US/EU Timezones)
GitHub: github.com/mobeen-ghaffar
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