• #475, 2nd and 3rd Floor, Croissance Hub, RBI Layout, JP Nagar 7th Phase, Bangalore- 560078, India
  • Office Time:
  • Monday to Friday 9:00am - 6:00pm
  • Email:
  • contact@cynaris.ai

About Us

About Cynaris

Founded in 2018, Cynaris is an AI product company. We research, engineer, and ship AI systems for how organizations hire, mentor, manage, and grow talent - AI Mentor, AI HRMS, AI Analytics, AI Career Suite, and AI Academic Tools are live products in active use, not concepts on a slide.

Every product we ship has already run against a real, high-volume operational environment before it reaches a client - so what you evaluate is production-tested AI, refined against real usage, not a demo built for a pitch.


Our Mission

To engineer AI systems that hold up under real operational pressure - built and refined against live use, not demoed against a script.

Our Vision

A future where AI genuinely runs the operational core of how organizations hire, mentor, and grow people - not a chatbot layered on top of the same old process.

Why Cynaris


  • Built AI-first, proven on our own workforce before we sold it
  • Human-in-the-loop by design, not fully automated
  • Trained on Indian business context, not generic templates
  • The same team that built these tools uses them every day
  • Security and integration reviewed before rollout, not an afterthought
Contact Us
Compliance & Quality

Our Certifications

Cynaris Solutions Private Limited is assessed and certified by accredited third-party auditors.
ISO 27001:2013 Information Security Management System certification

Information Security Management System

ISO 22301:2019 Business Continuity Management System certification

Business Continuity Management System

ISO 9001:2015 Quality Management Systems certification

Quality Management Systems

How It Works

1Connect your workflow

Share how hiring, mentoring, or reporting works today — no rip-and-replace required to get started.

2AI trained on your context

Models are configured against your roles, policies, and data — not a one-size-fits-all template.

3Human review built in

Every AI recommendation is designed to be reviewed by a person before it becomes a decision.

4Continuous improvement

The system gets more useful the more it is used, refined against real outcomes, not assumptions.

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