The Trusted AI OS
The enterprise Operating System that integrates across Microsoft, macOS, and Linux delivering governed intelligence, full lineage, and safe-to-execute automation.
Perceive Now OS turns AI into a verifiable system of record, where every insight is explainable, every action is reversible, and every decision is trusted.
Trust by Industry Leaders Worldwide
Why Generic AI Tools Aren't Enterprise-Ready?
General LLMs
Generic AI Produces Unverifiable Outputs- One model tries to do everything
- No governance, no traceability, no controls
- Black-box answers you hope are right
- Insights live in a chatbox
PN OS
PN OS produces statistically validated, auditable intelligence with full lineage.- PN OS orchestrates Agentic Swarms hundreds of specialized agents cross-verifying each other.
- PN OS routes every inference through the Model Control Plane (MCP), enforcing policies, residency, and approvals.
- PN OS produces proof-backed insights with citations, confidence intervals, and Validation Chain™ verification.
- PN OS integrates into your ERP, CRM, EHR, Outlook, Teams, Slack, SAP, and databases as governed workflows.
Introducing Agentic Swarms
Hundreds of specialized agents. One mathematically verified consensus.
Agents debate, cross-check, and challenge inconsistencies before producing a final answer that's validated through the Kernel's statistical and lineage checks.
- A single agent gives an answer.
- A Swarm proves it.
- Parallel reasoning exposes contradictions instantly.
- Every insight is validated through consensus, not assumption.
- Swarms connect to any enterprise system through unlimited connectors.
- Build your own agents through the OS governance stays intact.
How Perceive Now Works
From question → verification → trusted action.
Define Your Objective
Specify your business, financial, operational, or scientific goal. The OS aligns every query with your enterprise policies, context, and data sources.
The OS Does the Heavy Lifting
Agentic Swarms analyze your data, cross-verify findings, check for contradictions, validate logic statistically, and route each inference through the Model Control Plane.
Every step is explainable, traceable, and audit-logged.
Get Verified, Explainable Outputs
You receive a mathematically verified, lineage-backed insight or action package ready for boardrooms, regulators, auditors, and executives.
5 Steps to Trusted AI Decisions
Step 1: Connect Your Enterprise Systems
Perceive Now OS links to your ERP, CRM, EHR, data warehouses, documents, and unstructured sources through unlimited connectors. The Kernel immediately begins establishing lineage maps, identity links, and provenance trails across all your data.
- Identity & source mapping
- Schema detection + normalization
- Provenance graph activation
- Role-based access constraints applied
Step 2: Your Policies, Rules, and Controls Become the OS Guardrails
The OS imports your business logic, compliance rules, approval workflows, data residency requirements, and model restrictions. This activates the Governance Engine, ensuring every downstream action follows enterprise-grade standards.
- Model Control Plane (MCP) policy enforcement
- Zero-trust access & SoD segmentation
- Compliance guardrail activation
- Business-rule encoding into the Trigger Library
Step 3: Agentic Swarms Analyze, Debate, and Verify the Data
Hundreds of specialized agents process structured + unstructured inputs simultaneously. They cross-check each other's reasoning, detect contradictions, and surface validated insights through the OS.
- Multi-agent parallel reasoning
- Contradiction detection across agents
- Statistical checks (σ, CI, residuals)
- Consensus formation inside the Kernel
This step transforms raw data into verified intelligence.
Step 4: Validation Chain™ Certifies Every Insight
Before any result is displayed or executed, it passes through a multi-stage verification pipeline:
- Source lineage checks
- Bias detection
- Model cross-verification
- Confidence scoring
- Replayable decision path logging
- Digital signatures applied
This step transforms Only when the OS can prove the output is correct is it passed forward.
This creates a scientifically defensible, regulator-ready insight.
Step 5: Safe-to-Execute Actions or Explainable Outputs
The OS generates an output that is governed, validated, and fully explainable:
- Reports
- Dashboards
- Financial reconciliations
- Variance analyses
- Compliance summaries
- Risk exposure maps
- Workflow triggers
- ERP/CRM/EHR updates
- Automated presentations
All outputs include:
- Lineage graph
- Citations
- Confidence intervals
- Full replay log
- Approval chain
- Rollback capability
This is AI you can sign off on not AI you need to double-check.
AI That's Explainable, Governed, and Enterprise-Safe
Each inference is routed through the Model Control Plane ensuring policy compliance and cost control.
Parallel Swarm reasoning provides cross-verified intelligence.
Ensures every insight aligns with enterprise data, rules, controls, and role-based logic.
Outputs are never emitted without statistical validation, contradiction checks, and lineage evidence.
Every insight includes provenance, confidence intervals, and replayable logic steps.
Built for Every Enterprise Leader
One OS. Role-specific intelligence. Shared truth.
One OS. Every Dataset. Fully Governed.
Structured + unstructured data unified under one verifiable intelligence layer.
Every number, text fragment, or decision ties back to a traceable source-of-truth.
Explore Data Connectors →Trusted by Leaders
in Regulated Industries
