About Agentic Works
We build hybrid agentic AI for secure enterprise operations.
Our Vision
We envision a future where every enterprise can leverage agentic AI safely, where data sovereignty and powerful AI capabilities aren't mutually exclusive choices.
The autonomous enterprise of tomorrow will run on hybrid AI: orchestrated globally but executed locally, combining the convenience of cloud platforms with the security of on-premises deployment.
Our Mission
Enable enterprises to deploy agentic AI without compromising security, compliance, or data sovereignty. We believe AI should enhance operations while respecting the constraints that matter most to regulated organizations.
By separating orchestration from execution, we give enterprises the benefits of cloud-managed AI platforms while keeping their sensitive data and models entirely within their own infrastructure.
Why We Exist
Enterprise AI adoption is blocked by a fundamental incompatibility: cloud AI platforms require data exposure that violates security policies, while on-premises solutions lack the orchestration and management capabilities of cloud platforms. We built Agentic Works to resolve this contradiction.
The Agentic Works Story
Building a Better Model
We designed Agentic Works around a simple principle: orchestration and execution can be separated. The cloud control plane manages identity, state, and coordination but never touches your data. All AI inference, document processing, and sensitive operations run on your hardware.
This hybrid architecture gives CIOs the deployment flexibility they need, CTOs the technical capabilities they want, and CISOs the security guarantees they require.
Work with Regulated Industries
Our team has deep experience deploying enterprise systems in financial services, healthcare, and government. We've seen firsthand how security and compliance requirements block AI adoption not because the technology doesn't exist, but because the deployment models don't fit.
Cloud-only AI platforms ask enterprises to trust third parties with their most sensitive data. On-premises solutions lack the orchestration sophistication that makes cloud platforms powerful. Neither approach works for regulated industries.
Vision for Autonomous Enterprises
Intelligent Automation
AI agents that understand context, make decisions, and execute multi-step workflows across enterprise systems
Human-AI Collaboration
Augment human expertise with AI assistance while maintaining oversight and control of critical operations
Continuous Improvement
Systems that learn from operations, adapt to changing conditions, and improve performance over time
Leadership
CEO & Founder
All communication uses encrypted tunnels with mutual TLS authentication. No implicit trust between components.
CTO
Complete separation between tenants at network, compute, and data layers. No shared resources expose cross-tenant data.
Our Principles
Security by Design
Security isn't a feature it's the foundation. We architect every component with zero-trust principles, assuming breach and designing for containment. Data sovereignty is non-negotiable.
Customer Control
You own your data, your models, and your infrastructure. We provide the platform and orchestration you maintain full control over everything that matters.
Transparency & Trust
We're open about our architecture, clear about what data we see, and honest about limitations. Trust is earned through transparency and proven through third-party audits.
Open Standards
Built on open-source foundations (Kubernetes, Keycloak, Prometheus) and open standards. No proprietary lock-in, no vendor-specific APIs that trap you.
Ready to deploy secure AI in your environment?