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.

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OpenOS Operations inbox with AI-drafted reply and governed ticket queue

Customer Intelligence Quality Auditing AI Agent Workflows Operational Clarity Augmented Intelligence Customer Intelligence Quality Auditing AI Agent Workflows Operational Clarity Augmented Intelligence

Platform

One OpenOS.
One intelligence layer.

OpenOS connects customer intelligence, AI agents, enterprise knowledge, quality, governance, and operational analytics as one product offering.

Operations inbox

Channel signals become governed interactions. AI drafts stay reviewable; context, SLA, and knowledge travel with every handoff.

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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

Customer intelligence AI workflows Quality intelligence Enterprise insights

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.

One OpenOS Enterprise signals, knowledge, workflows, and quality

Governed AI Human oversight, evidence, controls, and accountability

Outcome-led Measured intelligence, action, and continuous improvement

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.

Access controls, encryption in transit, incident response, resilience, and operational safeguards are documented for enterprise review.

Responsible AI stays human-centered.

OpenOS uses AI to support decisions, not replace judgment — with transparency, oversight, and accountability for high-impact workflows.

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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. 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.

Where can buyers review privacy and retention commitments?

The Trust Center links to Privacy, Cookie, Data Retention & Deletion, DPA, and Subprocessor pages.

How does OpenOS approach responsible AI?

Human oversight, transparency of AI-generated outputs, fairness considerations, security-first deployment, and accountability for AI-assisted workflows.