Verifiable Intelligence¶
AI that reasons, verifies, and proves.
The protocol layer for enterprise AI you can trust.
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.
Symbolic Reasoning¶
Query the graph before calling the LLM. Our CGR3 pipeline grounds every response in verified facts with full provenance chains.
Federated Intelligence¶
Enterprises share verified facts, not raw data. Data sovereignty preserved. Trust chains explicit. The TCP/IP of enterprise knowledge.
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.
Semantic Search¶
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.
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.
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 |