Documents.Semantic Extraction.Enterprise Automation.
Automated document processing that transforms unstructured PDFs and complex documents into structured, logic-ready data with intelligent recognition.
What happens to a document inside MiruIQ
Four stages, one pipeline: documents come in from anywhere, are read and checked, reviewed by a person only when needed, and delivered as clean data.
Documents come to MiruIQ, not to your team.
Email inboxes, S3 buckets, SFTP folders and APIs all feed the same pipeline. Every document is classified and routed to the right extraction schema, whatever it looks like and whoever sent it.
Reads the document the way a person would.
Schema-driven extraction pulls exactly the fields you define. It understands complex tables, applies notes like amounts in thousands, keeps footnotes with their rows, and recalculates totals to prove the numbers add up.
People only see what needs their judgment.
Documents with low confidence or failed checks park in a review queue. The reviewer sees each value next to its exact source region on the page, fixes it in seconds, and the pipeline resumes on accept. Try it: click the fields and confirm the records.
Clean data lands where your work happens.
Confirmed results land as structured data in your database, ERP, webhook or S3 bucket, together with an audit trail of how every value was read.
We built the OCR engine ourselves: TurboOCR
TurboOCR is the fastest open-source GPU OCR, created by the MiruIQ team and released under the MIT license. And OCR is only one stage: MiruIQ's accuracy comes from AI extraction, validation and human review on top of it.
No public cloud dependency
MiruIQ runs on controlled infrastructure with locally hosted AI, so sensitive document workflows do not depend on public cloud services or external model APIs.
Our SaaS runs on self-hosted AI models with zero cloud dependencies. Need full control? The on-premise edition deploys the same way: completely dependency-free on your own infrastructure.
Not tied to fixed pre-trained document classes
MiruIQ uses structure-based processing rather than relying on a narrow catalog of pre-trained document models, making it well suited to mixed and evolving enterprise document sets.
When document layouts silently change, there's nothing to update: no retraining, no model adjustments. Structure-based processing adapts naturally, so your pipelines keep running without intervention.
Extract what your workflow needs
Go beyond vendor-defined output schemas. MiruIQ can target the information your process actually requires across a wide range of document structures.
Target exactly the fields your downstream process needs, not what a vendor decided to extract. Full control over what gets pulled from every document.
Built with European compliance in mind
Designed for organizations that need stronger control over data handling, deployment models, and AI usage in privacy-conscious and regulated environments.
No cloud dependencies: only locally hosted AI models are used, so your documents never leave your infrastructure. On-premise deployment, Swiss hosting, and full control over how AI processes your sensitive data. GDPR-compliant data handling for any data stored within MiruIQ.
Precise extraction in long, complex files
From lengthy PDFs to dense document packages, MiruIQ can locate the relevant page and extract the information your workflow needs.
Intelligent page-level relevance scoring finds the right information in massive document packages, with no manual navigation needed.
Document Parsing.
Data Normalization.
Transform heterogeneous documents into structured, comparable data that survives layout changes and is ready for real business decisions.
Documents Change Constantly
Most documents evolve over time. Layouts shift, labels change, formats differ. Automation that depends on document appearance breaks quickly.
Data Structure Should Not
MiruIQ separates data meaning from document layout. By normalizing documents into a stable structure, automation remains reliable even as documents change.
Define Meaning Once.
Normalize Everything.
With MiruIQ, you define what data represents, not how it is positioned, labeled, or formatted in a document.
Instead of relying on fixed templates or exact field names, MiruIQ understands the semantic meaning of information.
Whether a document says "Salary", "Gross Salary", or presents the value in a different layout entirely, MiruIQ maps it to the same defined field in your structure.
Variations
Handle document variations automatically.
Resilient
Stay resilient to layout and wording changes.
Consistent
Apply one consistent data model across all documents.
Your Structure First.
Automation Follows.
MiruIQ is a document processing platform that connects to multiple source systems and processes documents through modular pipeline steps: AI document processing from intake to delivery.
A Real-World Example: Turning Unsorted Files into Actionable Intelligence
Ingest from any source
MiruIQ connects directly to object stores, APIs, or file systems and ingests all incoming files into a single controlled flow, with no pre-sorting required.
Classify by document structure
MiruIQ evaluates whether documents match a defined structure (e.g., contains victim info, describes an incident). Only matching documents proceed; others are routed elsewhere.
Branch into semantic classifications
Multiple classifiers run in parallel to understand document meaning, distinguishing theft, burglary, fraud, and other categories based on actual content rather than keywords.
Route documents by meaning
Each classification connects to its own output path. Documents are instantly routed to dedicated folders, case queues, or downstream systems based on their semantic category.
Extract structured data in parallel
All classified documents feed into data extraction, producing normalized information: victim details, incident dates, locations, and key attributes for reporting or analysis.
Deliver to downstream systems
Extracted data flows directly to databases, data lakes, or analytics platforms. Documents routed by meaning, data centralized and normalized, all in one controlled pipeline.
Value Normalization.
Semantic Understanding.
MiruIQ interprets contextual notes and units to automatically normalize raw extracted values into their true numeric form.
A document table shows: Month / Earnings / Deductions, with values 4.5 and 0.8. Above the table it states: "All amounts are shown in thousands CHF for readability."
MiruIQ understands that Earnings represents monetary income, interprets the contextual note outside the table, and automatically normalizes values to 4500 and 800 CHF.
Document Scenario
Values displayed in thousands with a contextual note above the table.
Semantic Interpretation
MiruIQ reads context around the data, not just the data itself.
Normalized Result
Output values are automatically converted to their true numeric form.
Multiple Documents.
One Consistent Truth.
Example: Loan application
A loan application often consists of multiple documents: salary statements, ID documents, contracts, and application forms. In addition, key information is frequently entered directly via web forms or APIs.
Before a loan application can be processed further, all of this information must be coherent.
MiruIQ normalizes documents and external inputs into a shared structure and then cross-compares critical fields such as applicant name, address, employer, and income across documents and system-provided data.
Only loan applications that pass these consistency checks move forward automatically.
Normalize
Shared structure across all files.
Compare
Verify identities and values.
Flag
Detect inconsistencies instantly.
A Human in the Loop.
Verified in Seconds.
Automate everything except the judgment calls.
Documents that need a second look pause in a review queue instead of flowing through unchecked. Every extracted value is linked to its exact spot on the page: click a field and the document jumps to the highlighted source. Confirm or correct, hit accept, and the pipeline continues on its own.
Seconds per Document
Fields point straight to their source on the page, no searching.
One-Click Decisions
Fix a value inline or accept the whole document at once.
Resumes Automatically
Accepted documents flow on through the pipeline instantly.
Your Data Stays Yours.
Security by Design.
MiruIQ is built for sensitive and regulated documents.
You can run it as a managed service or fully within your own environment, without giving up control over your data.
Local Swiss Infrastructure
MiruIQ and the AI models used are hosted and operated by MiruIQ in Switzerland on local infrastructure without any cloud usage.
Transient Processing
Documents and state within MiruIQ is not retained by default. The user has full control over what is retained.
Customer-Controlled Encryption
Stateful processing protected with customer-controlled encryption e.g. using a KMS integration.
Secure Connectors
Results such as extracts can be written directly to your systems via secure connectors and do not have to be stored within MiruIQ.
Intelligent Document Processing.
Questions Answered.
What buyers ask about IDP software, answered in plain language.
Intelligent document processing (IDP) is software that reads unstructured documents (PDFs, scans, emails) and turns them into structured, validated data using AI. Unlike classic OCR, intelligent document processing understands meaning: it classifies documents, extracts the fields you define, normalizes values, and verifies results before they reach your systems. MiruIQ adds pipeline orchestration and human-in-the-loop review on top, so extraction becomes a controlled, auditable process.
Four things matter most: extraction driven by meaning instead of fixed templates, verification that catches inconsistencies across documents, human review for the cases that need judgment, and control over where your data is processed. MiruIQ is intelligent document processing software built around all four, including deployment on Swiss infrastructure or fully on-premises. Most document AI tools cover the first point at best; the rest is where projects fail.
Hyperscaler services like Textract or Azure Document Intelligence route your documents through US-controlled cloud infrastructure. MiruIQ takes the opposite approach: the platform and its AI models run on Swiss infrastructure or entirely on-premises in your own data center. Documents never leave your environment, no external model APIs are called, and pricing stays transparent.
Both. At its core, MiruIQ is IDP software: classification, extraction, and verification of documents. Around that core, pipelines, connectors, and human review turn it into a document automation platform: documents flow in from your systems, and clean, verified data flows out to databases, APIs, and downstream workflows.
From Files to Facts.
From Documents to Decisions.
MiruIQ helps organizations stop reacting to document complexity and start building reliable, scalable automation on top of it.
Ready to Automate?
Let's Begin.
Join the organizations turning document chaos into intellectual infrastructure.