Intelligence. Unbroken.
AuraOne is the living bridge between human judgment and machine precision.
An intelligence platform born from two decades of patents, experiments, and belief that the future must be provable.
From the Early Web to the Era of Intelligence
Before artificial intelligence became a household term, Gurbaksh Chahal was already working on how machines could understand people. Between 2014 and 2019, he filed and was granted twelve machine learning patents that mapped how humans shared, interacted, and connected across the open web.
These inventions—spanning social graphs, behavioral inference, and privacy‑preserving personalization—were more than ad‑tech breakthroughs; they were early blueprints for teaching systems to interpret human context.
A Legacy of Machine Learning Innovation
- U.S. Patents 8,751,621 – 8,892,734 – 9,098,872 – 9,110,997 (2014–2015) — Introduced graph‑based models that mapped relationships and intent across the open web—creating the foundation for contextual personalization.
- U.S. Patents 9,117,240 – 9,135,653 – 9,146,998 (2015) — Advanced adaptive edge weighting and category inference, allowing systems to evolve their understanding dynamically.
- U.S. Patents 9,317,610 – 9,390,197 – 9,430,531 (2016) — Expanded graph intelligence to multi‑degree reasoning while preserving anonymity—an early precursor to privacy‑safe machine learning.
- U.S. Patent 9,779,416 (2017) — Introduced fingerprint‑based identity inference without user data collection—pioneering concepts later echoed in federated learning.
- U.S. Patent 10,331,713 (2019) — Modeled user understanding through time‑weighted “word cloud” embeddings—among the first glimpses of contextual representation learning.
Each step pushed toward a single goal: enabling machines to see patterns in human behavior without invading human privacy.
The Next Frontier
Years later, as generative AI emerged, Chahal asked a new question: What if machines could not only interpret human behavior—but collaborate with it?
That question led to U.S. Patent Application US 2025/0307637 A1, “Computer‑Implemented System and Method for Creating a Domain‑Specific Language Learning Model (LLM) with an Application Logic Layer.”
This invention proposed a new learning architecture—one where a model’s intelligence is connected to a live application logic layer, capable of reasoning over dynamic data, executing decisions, and continuously refining its own performance. That concept became the seed of AuraOne.
From Patent to Platform
AuraOne transforms that vision into reality—a single platform where AI systems and human expertise evolve together.
- AI Evaluation — measuring and improving model performance through structured, repeatable experiments.
- Workforce Intelligence — embedding human judgment directly into the learning loop.
- Governance & Trust — providing real‑time transparency, compliance, and auditability.
The result is an adaptive intelligence layer that learns, measures, and improves continuously—bridging human reasoning with machine precision.
Expanding the Frontiers of Intelligence
AuraOne’s architecture didn’t stop at generic evaluation. From the beginning, it was designed to think like a scientist—modeling the rigor of experimentation, the repeatability of testing, and the depth of domain expertise.
That’s why AuraOne spans ten scientific domains, from drug-discovery and drug-discovery to manufacturing, genomics, climate, and medicine. Each domain brings its own datasets, metrics, and evaluators—allowing organizations to test AI systems not in isolation, but in the real contexts where truth and accuracy matter most.
These domains form the living laboratories of AuraOne—where every insight strengthens the next model, every evaluation refines the next decision, and every discipline contributes to a collective intelligence that never stops learning.
The Human Interface of Intelligence
As AuraOne evolved, one truth became clear: AI alone doesn’t build trust—it needs a human voice.
That realization led to Cleo, AuraOne’s intelligent recruiter and interviewer—designed to understand not just skills, but intent, empathy, and readiness. Cleo powers Automated Recruitment, sourcing, interviewing, and onboarding the human contributors who fuel the platform’s continuous‑learning cycles.
By bridging human insight with AI precision, Cleo ensures every evaluation and data pipeline begins with qualified, trusted human input. In many ways, Cleo embodies AuraOne’s core belief: intelligence isn’t just learned—it’s selected, refined, and human‑aligned.
Our Mission
The Team
Behind AuraOne is a team of engineers, researchers, and designers from leading AI and enterprise technology organizations—united by a shared belief that intelligence must be accountable. Together, they’re building the operating system for hybrid intelligence—where feedback becomes knowledge, and knowledge becomes evolution.
Looking Ahead
What began as ideas about connection became a philosophy about cognition. From the first social‑graph patent to today’s application‑logic framework, the journey has always centered on one thing: teaching machines to understand humanity—and helping humanity harness that understanding responsibly.
AuraOne is that vision, realized. A living proof that innovation isn’t about what AI can say—it’s about what it can understand, verify, and improve.