The only Enterprise AI Proven Against Every Frontier LLM

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Background

Before architecture. Before features. Before OS layers.

The results speak first

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Higher factual accuracy

94% benchmark accuracy vs 75% (GPT-4) and 58-65% (Claude/Gemini).

Superior citation fidelity

100% JSON and schema validity; frontier models fail 10-35% of the time.

Fully reproducible outputs

Deterministic runs with complete audit logs and WORM-stored artifacts.

Stable long-sequence reasoning

0% stage violations and 0% cross-stage conflicts across all workflows.

Stable long-sequence reasoning

Multi-run variance held to ±2.8% across 1,000 scenarios.

Board-safe explainability

Full stage traces and judge calibration with 0.86 human-agreement reliability.

PerceiveNow is the enterprise AI operating system built on trust, governance, and model-agnostic orchestration

Agentic Swarms

Hundreds of Micro-Agents
Working as One Verified System

Once the Kernel proves truth, the OS unleashes its most powerful capability:

A coordinated Agentic Swarm— hundreds of micro-agents firing in parallel, each doing a single task perfectly.

WHAT THE SWARM DOES
Parallel reasoning
Multi-step refinement loops
Instant contradiction scanning
Shared memory across all agents
Consensus before output
End-to-end audit trails

Technical Capabilities

This is the grounding layer where we inject engineering truth.

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Micro-Skill Agents

(500+ skills)

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Summarization

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Classification

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Extraction

04

Entity Linking

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Enterprise Workflow Agents

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Readiness Score

02

DD Agent

03

Proposal Builder

04

Auto-Deck

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Data & Intelligence Agents

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Forecasting

02

Segmentation

03

Competitor Mapping

04

Cost/Risk Modelling

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Integration Agents

01

Drive/Docs/Sheets Managers

02

CRM Ingestion

03

SAP/ADLS Connectors

04

Auto-Deck

Background

Transform /// Outcomes

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Manual Workflows Across Disconnected Tools
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Slow Cycles, Constant Rework, Endless Handoffs
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Contradictions That Teams Can’t Trust
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No Evidence, No Traceability, No Audit Trail
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Security + Governance Gaps Around AI
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Brittle Automations That Break When Anything Changes
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1000x faster workflows
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99.9% accuracy
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Zero hallucinations
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Consistency across long sequences
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Fully explained outputs
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Automation Across Your Enterprise Stack

How Agentic Swarms Work (Mechanics)

Multiple agents work together and make sure the answers are 100% accurate & precise

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Day-1 ROI you can measure and defend with absolute clarity