Origin
From the Himalayas to Fortune 500 AI
Saad Bin Shafiq grew up in a 70-person village in the Himalayas of northern Pakistan. There was no electricity. At age 12, he got his hands on a C# textbook and started learning to code the only way he could — writing programs on paper by candlelight, memorizing syntax line by line before he ever touched a computer.
Years later, when he finally entered the job market, he applied to 700 positions. He received 699 rejections. Automated screening systems filtered him out — not for lack of skill, but because his background didn't fit their pattern matching. He didn't have the right school name, the right internship pedigree, or the right keywords on his resume.
That experience became the foundation for NODES. If the systems were wrong about him, how many other capable people were companies losing? In October 2023, Saad founded NODES to build what hiring software should have been from the start — infrastructure that predicts who will actually succeed, not who looks like they should on paper.
The Company
NODES: Talent Intelligence Infrastructure
NODES is a talent intelligence platform that deploys entirely inside enterprise VPCs — no external API calls, no data leaving company walls. It analyzes patterns from a company's existing top performers to predict which candidates will actually succeed in the role.
The platform coordinates 78 specialized AI agents across CRM, HRIS, and ATS systems, running on open-source models the customer owns. No black boxes. No data leakage. Full enterprise control.
710K+
Candidates Processed
4,000+
Hires Made
80%
Top Performer Prediction
6 wks
Avg Ramp Time
$1.58M
Client Savings
Press & Media
Featured In
Entrepreneur
How Saad Bin Shafiq Turned 699 Job Rejections Into Fortune 500 AI Infrastructure
Digital Journal
Saad Bin Shafiq Built the Talent Intelligence Layer Two Years Before Venture Capital Named the Category
Global Banking & Finance Review
He Learned to Code on Paper Without Electricity. Now He Builds Enterprise AI for America's Largest Companies
Benzinga
The 29-Year-Old Building Enterprise AI By Keeping Data Inside Company Walls
Research
Research & Academic Work
Saad's research spans quantum physics, artificial superintelligence, and applied AI systems for enterprise.
Research Areas
- Quantum Divine Substrate Theory
- AI Superintelligence
- Talent Intelligence & Predictive Hiring Systems
- Multi-Agent AI Architecture for Enterprise Applications
Media
Podcasts & Videos
Podcast
From The Start Podcast
Guest episode featuring Saad's journey from the Himalayas to building enterprise AI infrastructure.
YouTube
Saad Ships AI
Building in public — enterprise AI, multi-agent systems, and the NODES platform.
Journey
Timeline
Age 12
Learned to code from a C# textbook in a village with no electricity, writing programs on paper by candlelight and memorizing syntax before ever touching a computer.
Pre-2023
Scaled 4 startups to $1M+ ARR each. Published quantum physics research on Google Scholar.
2023
Applied to 700 jobs. Rejected 699 times by automated screening systems. The one acceptance proved the systems were broken.
October 2023
Founded NODES (AI Synapse Inc) to build talent intelligence infrastructure that predicts who will actually succeed — not who looks right on paper.
2024
Landed anchor enterprise customer (Fortune 500 financial services). Processed 710K+ candidates. Achieved 80% top performer prediction accuracy.
2025
Featured in Entrepreneur, Digital Journal, Benzinga, and Global Banking & Finance Review. Foundation Capital published thesis validating the category Saad had been building for 2 years.
2026
Scaling toward $12M ARR with 40-45 enterprise logos. Building the talent intelligence layer for America's largest companies.
Social Proof
What Others Say
He learned to code on paper without electricity. Now he builds enterprise AI for America's largest companies.
Publication
Saad Bin Shafiq built the talent intelligence layer two years before venture capital named the category.
Publication
The 29-year-old building enterprise AI by keeping data inside company walls.
Publication