Celestial Systems Achieves ISO/IEC 42001:2023 Certification
Enabling enterprises to operationalize AI with trust, governance, and measurable business impact
Bangalore, India / Vancouver, Canada — June 3, 2026
Celestial Systems Inc., an applied enterprise AI and digital engineering company, today announced that it has achieved ISO/IEC 42001 certification for its Artificial Intelligence Management System (AIMS). This milestone reinforces Celestial’s commitment to building AI systems that are governed, transparent, and enterprise ready.
ISO/IEC 42001 is the first international standard for AI management systems, establishing a framework for managing AI-related risks, ensuring accountability, and promoting responsible deployment at scale.
Enabling Trust in Enterprise AI Adoption
With this certification, Celestial strengthens its role as a trusted partner for enterprises navigating AI at scale, helping clients:
- Start with use-case risk classification, not universal policies
- Automate compliance checks within CI/CD pipelines
- Make governance documentation self-service and searchable
- Create cross-functional AI review boards with clear SLAs
- Track model lineage, data provenance, and decision audit trails
- Iterate governance policies based on real incident learnings
Shyam Hirurkar, CISO at Celestial Systems
A Company-Wide Effort Toward AI Governance Excellence
Adoption of AI governance tools and frameworks guided by the CISO office
Ongoing monitoring and KPI tracking for AI systems
Regular oversight by the AI Committee
Continuous alignment with regulatory and ethical standards
Supporting regulated industries in production-grade AI adoption
A Company-Wide Effort Toward AI Governance Excellence
This milestone further reinforces Celestial’s position in applied enterprise AI, with a focus on:
- Delivering business-aligned AI solutions with measurable outcomes
- Building scalable and secure architectures for enterprise environments
- Operationalizing AI with embedded governance and compliance readiness
- Supporting regulated industries in production-grade AI adoption
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