OpenOS Technologies Pvt Ltd
From Artificial Intelligence to Augmented Intelligence
OpenOS unifies enterprise signals, knowledge, workflows, and AI into one intelligence layer that helps organizations understand, decide, act, and improve.
Customer Intelligence
Quality Auditing
AI Agent Workflows
Operational Clarity
Augmented Intelligence
Customer Intelligence
Quality Auditing
AI Agent Workflows
Click to discover
One OpenOS.
One intelligence layer.
OpenOS connects customer intelligence, AI agents, enterprise knowledge, quality, governance, and operational analytics as one product offering.
Operating layer
Signals in. Intelligence out.
Operational data, customer signals, enterprise knowledge, workflow state, and quality evidence feed one augmented intelligence layer.
Input
Enterprise signals
Data, conversations, knowledge, workflows, quality
OpenOS
Intelligence layer
Understand, reason, govern, orchestrate
Output
Measurable action
Decisions, automation, human action, improvement
Perspective
Intelligence you can operate.
OpenOS turns fragmented enterprise signals, scattered quality evidence, and isolated knowledge into a governed intelligence system that helps teams see, decide, act, and learn.
- Unified organizational context
- Governed AI and human accountability
Signals
What should become intelligent first?
Start with the business signal or workflow that matters most. OpenOS connects it to the same enterprise intelligence layer.
Trust Center
Enterprise AI needs enterprise trust.
OpenOS gives buyers, security reviewers, and legal teams a dedicated Trust Center with clear policies for privacy, security, retention, responsible AI, and procurement review.
Your data remains your data.
OpenOS acts as a service provider and processor. Customer data is not sold and is not used to train public AI models unless explicitly agreed in writing.
Security and reliability are built in.
Our Trust Center outlines access controls, encryption in transit, account protection, incident response, resilience, and operational safeguards across the platform.
Responsible AI stays human-centered.
OpenOS uses AI to support decisions, not replace judgment. We emphasize transparency, oversight, accountability, and validation for high-impact workflows.
Buyer Answers
Common enterprise questions, answered.
Direct answers for procurement, privacy, and AI governance reviews.
Does OpenOS use customer data to train public AI models?
No. OpenOS states that customer data is not used to train public AI models unless this is explicitly authorized in writing through a separate agreement.
Can enterprise customers request a DPA?
Yes. OpenOS publishes a Data Processing Addendum for enterprise customers and procurement reviews, with commitments around processor responsibilities, security, and sub-processors.
Where can buyers review privacy and retention commitments?
The Trust Center links to Privacy, Cookie, Data Retention & Deletion, DPA, and Subprocessor pages so evaluation teams can review how information is handled end to end.
How does OpenOS approach responsible AI?
OpenOS emphasizes human oversight, transparency of AI-generated outputs, fairness considerations, security-first deployment, and accountability for AI-assisted workflows.
Founding team
Meet the people behind OpenOS.
Enterprise technology veterans building the intelligence layer for modern organizations.
Founder & CEO
Rashid Raza
Founder & CEO of OpenOS Technologies, building an AI-powered enterprise operating system that helps organizations unify data, workflows, and AI within their own secure cloud environment.
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Get in touch.
Have a question or want to learn more? We would love to hear from you.
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