About Kaycore
Built for the High Stakes.
Kaycore was founded on a simple premise: AI is too dangerous to be built by generalists. We exist to close the Confidence Gap. We bring the rigor of aerospace engineering to the chaos of generative AI.
The Kaycore Difference
We Are Not A Body Shop
×Staff Augmentation
- •Selling hours, not outcomes.
- •"I did what the ticket said."
- •No skin in the game.
✓Kaycore Partnership
- ✦Owning the risk outcome.
- ✦Reputation tied to success.
- ✦Deep, persistent domain knowledge.
Our Values
What Drives Our Engineering
Core principles that guide every test we write and every strategy we build.
Uncompromising Quality
We treat 95% accuracy as a starting point, not a goal. Reliability is our ultimate metric.
AI-First Mindset
We leverage AI not just to test software, but to rethink how engineering teams ship products.
Senior Talent Only
No junior hand-offs. You work directly with battle-tested quality engineering architects.
Commercial Focus
We align our QA strategy with your business goals, ensuring every test drives revenue predictability.
Leadership
Founder-Led Accountability
Kulish Kulshrestha
Founder & Lead Architect
"I don't ask whether an AI works. I ask how it fails and whether we detect it in time."
With over a decade of experience architecting and validating production-grade software, Kulish is driven by a singular mission: to eliminate the unpredictability of AI in enterprise environments. Recognizing that traditional QA fails when applied to probabilistic systems, he founded Kaycore to bridge the gap between experimental AI and mission-critical reliability. His expertise in risk analysis and failure modes ensures that organizations can deploy AI solutions with absolute confidence.
Dr. Ayushi Shukla
Co-founder, Kaycore Technologies
"We are bridging the gap between clinical reality and technological capability to make healthcare accessible, efficient, and deeply human."
Dr. Shukla brings nearly a decade of frontline clinical experience to Kaycore's healthcare initiatives. Having served in leading institutions, she experienced firsthand the administrative burnout and systemic inefficiencies plaguing modern medicine. Her mission is to harness AI to reduce physician cognitive load, eliminate documentation friction, and ultimately return the focus of healthcare back to the patient.
Ready for a Real Partner?
Let's build something that survives the real world. Talk to our engineers today and let us engineer custom risk protocols for your application.
