Turn enterprise archives into private, governed intelligence.
iDocHive digitizes, governs, searches, and applies private AI to sensitive documents inside your approved environment. Your documents, models, keys, prompts, responses, and audit records remain under your control.
Your most valuable knowledge is trapped in documents.
Decades of knowledge sit across paper archives, scans, PDFs, shared drives, and legacy systems. Employees struggle to find trusted answers. Manual processing raises cost. Public AI introduces data-control concerns. iDocHive creates one governed path from document intake to accountable intelligence.
PDFTXTDOCXPPTPaperDataInformationIntelligence
Find trusted answers...
Governed
Permission-Aware
Private Answers
Before
Fragmented, Hard to Access
Paper archives and poor scans
PDFs on shared drives
Departmental repositories
Slow retrieval and duplicate work
Weak permission consistency
Public AI residency concerns
After
Governed, Trusted, Ready
Encrypted originals preserved
Structured, classified records
One governed repository
Permission-aware search
Cited private answers
Human approval and audit evidence
From document intake to accountable intelligence.
THAT’S iDOCHIVE.
YOUR KNOWLEDGE. YOUR CONTROL.
Paper to data. Data to information.Information to intelligence.
iDocHive creates a governed path from document intake to accountable intelligence.
1
Paper
Scan and ingest physical records, digital files, and approved system captures. Preserve the original source.
2
Data
Run OCR, detect type, extract fields and tables, and route low-confidence results for human review.
3
Information
Classify, apply retention and access rules, index content, and support keyword, semantic, and hybrid search.
4
Intelligence
Ask questions across authorized content, return citations, review high-impact outputs, and act with evidence.
HOW IT WORKS
From intake to accountable answers
The operational sequence stays inside your boundary: import, encrypt, process, govern, retrieve, cite, approve, and record.
1
Upload or bulk import
2
Preserve encrypted original
3
Run OCR
4
Classify
5
Extract metadata
6
Apply policies
7
Create search indexes
8
Ask a question
9
Retrieve authorized evidence
10
Return citations
11
Route for approval
12
Record the audit event
DOCXXLSXPDF
1
Upload or bulk import
2
Preserve encrypted original
3
Run OCR
4
Classify
5
Extract metadata
6
Apply policies
7
Create search indexes
8
Ask a question
9
Retrieve authorized evidence
10
Return citations
11
Route for approval
12
Record the audit event
DOCXXLSXPDF
Your Documents. Your Rules. Your Infrastructure.
GOVERNANCE FIRST
AI remains inside your rules.
Every query respects document permissions. Every answer points to source evidence. Controlled outputs wait for human approval. Every access, inference, and decision creates an audit event.
Permission-aware retrieval
RBAC is enforced in the API and retrieval layers, not only in the interface. Unauthorized collections never enter the model context.
Source validation
Answers include citations to original passages. Users can inspect the evidence before they act.
Human approval
High-impact outputs remain in pending_review until an authorized person approves, rejects, or requests changes.
Complete audit evidence
The trail links the user, sources, model version, prompt policy, response, reviewer, and decision.
AI Answer
Q
What is the payment term policy after PO 1001?
✦
Payment terms follow the Corporate Sales AG-0123 policy. Invoices are due within 30 days of delivery unless otherwise specified in the contract.
Net 30 for standard vendors. Non-standard terms require legal review.
✓Approved
◷Pending review
×Revision needed
Audit Evidence
User
Timestamp
Document
Action
Decision
sarah.chen
Apr 22, 2025
AG-0123
Query
—
alex.kim
Apr 22, 2025
AG-0123
Inference
Completed
morgan.lee
Apr 22, 2025
FN-004
Review
Approved
jordan.patel
Apr 22, 2025
VDR-101
Access
Allowed
DEPLOY YOUR WAY
Built for infrastructure you control.
There is no public multi-tenant SaaS edition. Choose the boundary that matches the information class.
Department Pilot
Controlled document collection
Single department
Defined acceptance criteria
Fast proof of value
Enterprise Private
Customer-controlled infrastructure
High availability
Identity and SIEM integration
Production workflows
Sovereign Air-Gapped
Zero production internet dependency
Signed offline updates
Customer-controlled keys and models
Primary and disaster-recovery topology
iDOCHIVE
A product layer on infrastructure you already govern
The marketing site is not the product. The product application uses Vue 3 with Inertia, Laravel, and a PostgreSQL + pgvector data layer inside your environment.
Runs inside your environment
YOUR GOVERNED ENVIRONMENT
Governed data & retrieval
Data: PostgreSQL + pgvector
PostgreSQL holds governed records and metadata while pgvector enables semantic retrieval inside the same permission boundary and source-evidence model.
✓Structured records and governed metadata
✓Vector retrieval for semantic search
✓Source links and citation relationships retained
CONTROL BOUNDARY
Records, vectors, and source relationships remain under your control.
PostgreSQLpgvectorMetadata
Where governed document intelligence is required
Government archive intelligence
Historical records remain paper, poorly scanned, or locked in departmental stores.
Digitize, classify, apply access rules, and provide permission-aware search with private AI assistance.
Authorized staff retrieve trusted records without exposing restricted collections.
Record-level permissions and complete audit history
Contract intelligence
Obligations, renewals, and version differences are found by hand.
Extract parties, dates, terms, and risks while preserving source evidence.
Legal and commercial teams compare versions with citations.
Human approval for high-impact summaries
Construction and project document control
Drawings, variations, transmittals, and handover packs fragment across contractors.
Register, version, route approvals, and retrieve related project records.
Document controllers keep one governed project memory.
Lock-after-approval and distribution control
Policy and procedure assistant
Staff cannot find the current approved circular or SOP.
Ask questions only over authorized, current policy collections.
Answers cite the approved source instead of informal copies.
Collection filters and citation inspection
Controlled correspondence
Incoming letters miss owners, deadlines, and a durable history.
Capture, classify, assign, monitor, and retain correspondence.
Case owners see status, evidence, and decisions in one trail.
Workflow timers and immutable comments
Museum and provenance records
Appraisal, collection, and provenance files are sensitive and hard to search.
Govern specialist records with restricted access and cited research answers.
Curators work from authorized evidence, not detached copies.
Department boundaries and export logging
Why organizations choose a governed intelligence layer
The difference is the combined lifecycle — capture, system of record, permission-aware retrieval, and private AI with human approval — inside infrastructure you control.
Basic DMS
iDocHive adds document intelligence, hybrid retrieval, structured extraction, and governed AI workflows.
Standalone OCR
Extraction is only the start. Permissions, metadata, search, retention, and organizational use continue after the text is captured.
Public AI assistant
Documents, models, prompts, responses, keys, and logs remain inside the approved customer boundary.
Generic enterprise search
Search sits on top of ingestion, OCR, governance, workflows, and source-grounded generation.
Start with one document collection and one measurable outcome.
Define the use case, security boundary, document profile, and success measures before committing to enterprise rollout.