Production Validated at Fortune 500

Enterprise Knowledge
Management

Your entire organization's knowledge, instantly queryable. AI agents that learn your business, grow with your teams, and become irreversibly yours.

6
Specialized Agents
<2s
Query Response
100%
Knowledge Transparency

We translate complexity into clarity.

Solstice injects intelligence into any system, any industry, any workflow.

Six Agents. One Intelligence Layer.

A coordinated team of AI specialists that ingest, protect, serve, observe, connect, and visualize your organization's knowledge.

Solaris

Solaris

// INGESTION ENGINE

Upload documents through a simple interface. Solaris vectorizes and embeds everything into Pinecone and Firestore. PDFs, Word docs, spreadsheets, presentations - all become queryable knowledge.

Sol

Sol

// PRIMARY INTELLIGENCE

The brain. Ask Sol anything about your knowledge base and get instant, accurate answers. Writes ServiceNow ticket notes. Understands context across all your documentation.

Talos

Talos

// GUARDIAN

Protects Sol from hallucinations and security issues. Every response is fact-checked against the actual knowledge base. Trust, verified.

Pythia

Pythia

// OBSERVER

Watches every conversation. Detects jargon, frustrations, and knowledge gaps. Generates reports and suggestions. Your knowledge base gets smarter from usage.

Artemis

Artemis

// CONNECTOR

Pulls data from external systems. Jira tickets, ServiceNow records, Salesforce data. Sol has context from everywhere, not just uploaded docs.

Stella

Stella

// LIBRARY

Visual knowledge browser. See Department > Knowledge Base > Article hierarchy. Click to open any document. Users know exactly what Sol knows. No black box.

From Documents to Intelligence

A seamless pipeline that transforms scattered documentation into an intelligent, queryable knowledge layer.

01

Upload via Solaris

Drag and drop your documentation. Runbooks, training decks, SOPs, troubleshooting guides, API docs. Solaris accepts PDFs, Word, Excel, PowerPoint - anything your team creates.

Ingestion
AWS-Connect-Admin-Guide.pdf
Salesforce-Runbook.docx
Troubleshooting-Basics.docx
+ 47 more documents...
02

Vectorize & Embed

Solaris chunks documents intelligently, generates embeddings, and stores them in Pinecone for semantic search. Metadata lands in Firestore. A knowledge graph is built automatically.

Storage
Pinecone // Vector embeddings
Firestore // Document metadata
Stella // Knowledge graph
03

Ask Sol Anything

Natural language queries. "How do I reset a user's MAX Agent?" Sol retrieves relevant chunks, synthesizes an answer, and cites sources. Protected by Talos against hallucination.

Query
> "How do I do a SOX request?"

Sol: Based on the CRM Runbook,
SOX requests require...
[Source: HOW TO DO A SOX REQUEST.docx]
04

Automate Workflows

Sol doesn't just answer questions - it acts. Generate ServiceNow ticket notes from conversations. Pull context from Jira via Artemis. Close the loop between knowledge and action.

Integration
ServiceNow // Ticket notes
Jira // Project context
Salesforce // Customer data
05

Observe & Improve

Pythia watches every interaction. Detects emerging jargon, user frustrations, and knowledge gaps. Generates reports showing what's missing from your KB. The system gets smarter from use.

Pythia Report
Gap Detected: No docs on "SPLAT errors"
Jargon Found: "RunX" = AWS Connect
Frustration: 12 queries on Enphase

The Key Insight

These agents don't just serve your knowledge - they absorb it. They learn your jargon, your workflows, your tribal knowledge. Every question asked, every document uploaded, every gap identified makes them more aligned with your organization.

"After a while, they are irreversibly your company's agents."

The Virtuous Cycle

?
Users Ask
>
Pythia
Pythia Observes
>
!
Gaps Surface
>
+
KB Improves
>
Sol
Sol Gets Smarter

Fortune 500 Tech Department

Real deployment. Real results. Real demand from other departments.

Production Deployment

Enterprise Tech Support Knowledge Base

Knowledge Ingested

Knowledge Base/
├── Contact Center Tech/
│ ├── AWS Connect/ (API docs, admin guide, training)
│ ├── inContact CXOne/ (MAX Agent, troubleshooting)
│ └── Spoke/ (setup guides, analytics)
├── Enterprise Applications/
│ ├── Salesforce-CRM/ (runbooks, SOQL, SOX)
│ ├── ServiceNow/ (ITSM workflows, catalog)
│ └── Workday/ (HR processes, integrations)
├── IT Service Desk/ (troubleshooting basics)
└── Core Services/ (Jira, Confluence, DevOps)
  • Tech support asks Sol instead of searching SharePoint
  • Sol auto-generates ServiceNow ticket notes
  • Artemis pulls related Jira tickets for context
  • Pythia identifies knowledge gaps weekly
  • Stella provides browseable knowledge library

Results

User Adoption "People LOVED it"
Organic Demand Other departments asked for access
Cross-Org Interest HR requested integration
Knowledge Transparency 100% via Stella
Time to Answer Seconds vs. minutes

Knowledge That Grows With You

1

No Black Box

Stella shows exactly what Sol knows. Users can browse the knowledge library, see sources, verify information. Trust through transparency.

2

Protected by Talos

Every answer is fact-checked against actual documentation. No hallucinations. No making things up. If Sol doesn't know, Sol says so.

3

Self-Improving

Pythia identifies gaps automatically. The more people use it, the smarter it gets. Knowledge gaps become visible, then get filled.

4

Connected

Artemis pulls from Jira, ServiceNow, Salesforce. Sol has context from your existing tools, not just uploaded documents.

5

Actionable

Sol doesn't just answer - it acts. Auto-generate ticket notes. Draft responses. Turn knowledge into workflow automation.

6

Yours Forever

The agents learn your jargon, your processes, your tribal knowledge. After deployment, they're tuned to your organization. Irreversibly.

Ready to Make Your Knowledge Intelligent?

Deploy the same stack that's running at Fortune 500 scale.

See Stella Library
IRIS // ASSISTANT
STATUS: ONLINE
Greetings. I am Iris, your guide to Solstice Enterprise Knowledge Management. Ask me about our six-agent stack, ingestion workflows, or how we transform documentation into queryable intelligence.
Ask Iris