Source-linked extraction
Values retain the document, page, and span needed to inspect where they came from.
Enterprise workflow platformRequest Demo
MonolithIQ
Designed for enterprise and financial workflows that need to move from complex source material to structured data, analysis, exceptions, deliverables, and human approval.
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Knowledge processing
A reviewable path from source to decision.
The playbook carries the domain knowledge.
01Ingest
Normalize source documents and preserve location metadata.
02Retrieve
Index content and find the evidence required by a playbook.
03Structure
Extract cited values into a consistent, typed record.
04Analyze
Apply checks and surface exceptions, gaps, and uncertainty.
05Review
Generate the deliverable with source evidence available for approval.
Platform design
Headless capabilities. Human-facing control.
Composable modules with observable inputs and outputs.
Playbook-driven analysis
Fields, questions, and checks belong in a configurable playbook rather than hidden domain logic.
Observable modules
Module inputs, outputs, versions, and model calls are designed to be inspectable and replayable.
Human approval
Exceptions and deliverables remain reviewable before they enter a consequential downstream workflow.
Domain-neutral core
The engine stays reusable.
MonolithIQ is intended to carry the document, workflow, evidence, and review capabilities. Industry-specific decisions belong in applications, playbooks, integrations, and customer configuration.
Focused application
Aurelius applies the pattern.
Aurelius is the campaign and market-intelligence application in the product family. Its current CRE focus applies public-record research, scoring, conflict checks, and review to a specific operating workflow.
Explore Aurelius →
Deployment direction
Designed for more than one security boundary.
Intended modes, stated without pretending every mode is complete.
Shared cloud
A Stack55-managed environment for customers whose workflow fits a shared service boundary.
Dedicated cloud
A single-tenant environment configured around customer identity, data, and network requirements.
On-premises
A portable deployment target for workloads that must remain within customer-controlled infrastructure.
Architecture & data audit
Start with one document-heavy workflow.
Map the source material, evidence requirements, review boundary, and practical first deployment.
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