Secure Decision AI · Finance & Manufacturing

Relationship-aware AI

PolarPulse analyzes financial and manufacturing data on your internal network without sending sensitive enterprise data externally, generating real-time charts, evidence-based reports, and task-specific Agents — a Secure Decision AI.

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01ConnectData Connection→
02UnderstandUnderstand enterprise data→
03ActAnalyze & act

LIVE · CONNECT → UNDERSTAND → ACT

Problem

Enterprises hold high-value data, but AI adoption is still hard.

“We hold vast amounts of internal data, but security regulations, air-gapped networks, unrefined data structures, and the lack of integration standards across systems keep delaying any AI adoption that's actually usable in our day-to-day work.”
— CFO, Financial Group Subsidiary
“It's hard to send sensitive business data to external APIs like ChatGPT or Claude.”
— Accountant, IT Service Company
“ERP, MES, documents, contracts, disclosures, and equipment logs are scattered, so we can't put them directly to use in decision-making.”
— Manufacturing Process Lead

Features

From a single natural-language question, instantly generate charts, reports, and task Agents

01Insight Chart· Chart→

02Insight Report· Report→

03Vertical Agent· Agent

01
Dynamic Insight Chart
Real-time charts
Generate real-time dynamic charts from a single natural-language question. Executives and operators can instantly see the KPIs, anomalies, and root-cause analyses they need — no complex BI setup required.
- Real-time KPI chart generation from natural-language queries
- Drill-down across ERP/MES/DB sources
- Analysis at account, transaction, process, equipment, product, and inventory level
Evidence PackRule VersioningAudit Trail
02
Dynamic Insight Report
Evidence-based reports
Surface the most urgent action items with supporting evidence. Not a simple summary — an executable report with root-cause analysis and prioritization grounded in your internal data.
- Auto-detection of anomalous transactions, risks, and bottlenecks
- Automated root-cause analysis and improvement suggestions
- Automated financial review, audit, and compliance reporting
TraceabilityRBACPrompt Policy
03
Domain Vertical Agent
Task-specific Agents
Build Agents tailored to finance and manufacturing workflows. Connected to internal systems via the MCP standard, extending beyond analysis into real-world task execution.
- Finance Agent: credit review, IB due diligence, risk, compliance
- Manufacturing Agent: process, inventory, quality, equipment root-cause analysis
- Q&A grounded in internal data
Depreciation JELedger ReconcileAudit Pack

Security

Private-by-design Security

Sensitive enterprise data never leaves your network. Analysis runs inside your perimeter.

OUTBOUND: DISABLED · PERIMETER: YOURS

On-premise / VPC options
External data transmission is blocked
SSO / RBAC / audit logs / change history
Built in by default
Sensitive data masking
Permission-aware responses
Traceable output
Answers without evidence are minimized

How it works

Scroll to follow how enterprise data is connected, understood, and turned into action.

Step 01 · Connect
Connect
Data Connection
Connect data from existing systems — ERP, MES, SAP, Oracle, CSV, equipment logs, contracts, disclosures, internal reports, and more.
Step 02 · Understand
Understand
Understand enterprise data
Transform enterprise data into AX-Ready Data that AI can understand — built on Schema, Ontology, Knowledge Graph, Semantic Search, and SQL/Cypher.
Step 03 · Act
Act
Analyze & act
From a natural-language question alone, generate real-time charts, risk analyses, process-improvement proposals, inventory-optimization suggestions, and Action Item reports.