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Verifiable Intelligence

AI that reasons, verifies, and proves.

The protocol layer for enterprise AI you can trust.

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The Problem

85% of Enterprise AI Projects Fail

The root cause isn't technology—it's trust.

Is it correct?

Most AI can't verify its own outputs. You get confidence without proof.

Where did it come from?

Black box reasoning. No way to trace an answer back to source.

Does anyone disagree?

No contradiction detection. Conflicting information is hidden, not surfaced.


The Solution

Three Pillars

Knowledge Substrate

Every piece of data becomes a node in a tenant-scoped knowledge graph. Entities, relationships, and claims—all with provenance, temporal context, and confidence scores.

Learn more →

Symbolic Reasoning

Query the graph before calling the LLM. Our CGR3 pipeline grounds every response in verified facts with full provenance chains.

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Federated Intelligence

Enterprises share verified facts, not raw data. Data sovereignty preserved. Trust chains explicit. The TCP/IP of enterprise knowledge.

Learn more →


What Changes

Traditional AI vs. Archivus

Traditional AI Archivus
"Here's a confident answer" "Here's an answer, here's the proof, here's the dissent"
Black box reasoning Full provenance chains
Single model confidence Evolutionary verification
Isolated tenant silos Federation-ready
Trust the vendor Verify externally

Capabilities

What You Can Do

Document Intelligence

Extract entities, relationships, and claims from any document. Automatic classification and knowledge graph population.

Find documents by meaning, not keywords. Entity-aware with relationship traversal and temporal filtering.

Verified Chat

Every response linked to source documents. Confidence scores. Contradiction detection.

Rules Engine

Automate routing, tagging, and workflows. AI-learned rules with natural language conditions.

Workflow Automation

Multi-step pipelines with human-in-the-loop. 24 node types for complex document processing.

Voice Intelligence

Real-time entity extraction from conversations. Compliance-ready recording and transcription.

Explore all capabilities →


Enterprise

Built for the Enterprise

White Label

Enterprise

Your brand, your domain. Complete customization with themes, logos, and email templates.

BYOB Storage

Enterprise

Bring Your Own Bucket. Documents in your AWS S3, Azure Blob, or GCP. Full data sovereignty.

BYOB AI

Enterprise

Your Claude, OpenAI, or Azure accounts. Self-hosted and air-gapped options available.

Compliance

Enterprise

SOC 2 Type II. HIPAA-ready. GDPR-compliant. Full audit trails with 7+ year retention.

Enterprise features →


Developers

Build With Archivus

from archivus import Client

client = Client(api_key="your-api-key")

# Upload and analyze
doc = client.documents.upload("contract.pdf")

# Query the knowledge graph
entities = client.knowledge.query(
    "Find all parties in this contract"
)

# Chat with verification
response = client.chat.complete(
    messages=[{"role": "user", "content": "What are the termination clauses?"}],
    verify=True
)

# Every claim has sources
for claim in response.claims:
    print(f"{claim.text} [confidence: {claim.confidence}]")

API Reference → · SDKs → · Examples →


Industries

Solutions by Sector

Industry Focus Areas
Legal Contract analysis, due diligence, case research
Finance Regulatory compliance, audit trails, risk assessment
Healthcare Patient records, compliance, clinical research
Franchise Operations, compliance tracking, training
Supply Chain Vendor verification, contract management