PROPRIETARY AI PLATFORM  ·  ENTERPRISE LICENSING AVAILABLE

The Intelligence Layer
Organizations Don't Know
They're Missing

Scientia's Pattern Engine transforms siloed enterprise data into a living knowledge graph — surfacing hidden relationships, ownership structures, and risk indicators that no human team could find manually.

108+ Records processed per deployment
94% Attribution accuracy vs. 61% baseline
<200ms Graph query response at scale
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BUILT ON
THE OPPORTUNITY

Every large organization
has a data problem
they can't see yet.

Enterprises sit on petabytes of unstructured, siloed records — security logs, vendor databases, HR systems, external registries. The relationships inside that data represent billions in undetected risk, uncaptured value, and missed intelligence. Scientia makes that invisible graph visible.

We're not another analytics layer. We're a pattern recognition engine with a proprietary attribution model that operates where traditional BI tools stop working: at the intersection of structured and unstructured data, across organizational boundaries, at enterprise scale.

Talk to Our Team
Siloed Data, Invisible Risk
Security and compliance teams lack cross-system visibility. Threats hide in the gaps between platforms.
Manual Attribution at Scale
Analysts spend weeks tracing identity chains that Scientia resolves in milliseconds with higher confidence.
Compliance Without Context
Regulatory mandates require relationship mapping that existing tools can't produce at the required depth or speed.
PROPRIETARY TECHNOLOGY

Five layers. One coherent intelligence.

Each layer is independently licensable or deployable as an integrated platform.

01
Data Ingestion
Multi-source connectors ingest structured and unstructured data from security tools, enterprise systems, and external registries via API or batch ETL.
REST/GraphQLBatch ETLReal-time streams
02
Pattern Engine
Proprietary regex pattern library combined with AI models performs entity extraction, data normalization, and identity resolution across millions of records simultaneously.
200K+ patternsNLP extractionFuzzy matching
03
Knowledge Graph
Entities, relationships, context, and lineage are materialized in a multi-graph architecture using Neo4j, enabling sub-200ms traversal across billions of edges.
Neo4jMulti-graphLineage tracking
04
AI Attribution Layer
LLM-enhanced inference scores confidence, maps ownership chains, and surfaces risk indicators with explainable attribution — not a black box, an audit-ready decision trail.
LLM inferenceConfidence scoringExplainable AI
05
Intelligence Dashboard
Visualization, search, alerts, and full API access surface the graph's insights to analysts, executives, and downstream systems. White-label ready for licensees.
White-label UIREST/GraphQL APIAlert webhooks
TRACTION & VALIDATION

Numbers that matter to a board.

94%
Entity Attribution Accuracy
vs. 61% industry baseline across benchmark datasets of 50M+ records
10×
Faster Than Manual Review
From weeks to hours on complex relationship mapping tasks
$2.4T
TAM in Enterprise Intelligence
Addressable across security, compliance, and organizational analytics
Zero-Trust
Privacy Architecture
Data never leaves the client's perimeter. On-prem, VPC, or air-gapped deployment options.
3
Active Enterprise Pilots
Fortune 500 clients across financial services, federal government, and healthcare
IP Protected
Defensible Technology
Patent-pending pattern attribution methodology with trade secret protections
ENTERPRISE USE CASES

Six markets. One platform.

Each vertical represents a distinct licensing opportunity with validated demand from enterprise buyers.

Research Data Classification
Auto-classify and organize research corpora at scale. Critical for universities, defense agencies, and R&D-intensive enterprises.
Market: $12B (Research AI)
Organizational Mapping
Surface the real org chart — reporting lines, influence networks, subsidiary structures, and vendor relationships hidden in enterprise data.
Market: $19B (GRC)
Compliance & Risk Analysis
Continuously assess data sensitivity, map regulatory exposure, and maintain compliance posture across jurisdictions with automated reporting.
Market: $56B (RegTech)
Asset & Identity Discovery
Uncover shadow IT, hidden assets, beneficial ownership, and identity relationships that traditional IAM tools can't see.
Market: $24B (IAM)
Intelligence Reporting
Generate board-ready intelligence reports, executive dashboards, and analyst briefings from graph insights — automatically and at any cadence.
Market: $8B (BI/Analytics)
LICENSING MODELS

Structured for enterprise and venture timelines.

All licensing arrangements include dedicated technical integration support and SLA-backed uptime commitments.

API ACCESS
Pattern Engine API
Usage-based
Direct API access to the pattern recognition and entity extraction layer. Ideal for integrating attribution capabilities into existing platforms.
  • RESTful & GraphQL endpoints
  • 200K+ pattern library access
  • Confidence scoring output
  • 99.9% SLA
  • Shared infrastructure
Discuss Terms
STRATEGIC PARTNER
OEM & Embed
Revenue share
Embed Scientia's intelligence layer into your product. Revenue share model with full white-label rights and joint go-to-market support.
  • Full OEM rights
  • Co-development roadmap
  • Joint sales motion
  • Technical advisory access
  • First-look on new capabilities
Explore Partnership
All licensing discussions are subject to NDA. Reference customers and technical due diligence materials available upon request.
LEADERSHIP

Built by practitioners,
not theorists.

Tom Doughty
Co-Founder · CISSP, CISA, PMP
Tom is the architect and inventor of the Scientia Pattern Engine — purpose-built for organizational attribution of security telemetry across complex enterprise environments. With 25+ years in enterprise security engineering, he has built and operated the exact class of systems the Scientia Pattern Engine is designed to replace.
Former CIO at the Florida Executive Office of the Governor; Co-Founder of D3 Air and Space Operations. Currently integrating RAG, MCP, and AI to enable natural language querying directly against the Scientia Pattern Engine knowledge graph. B.S. Computer Science, Florida State University. CISSP, CISA, PMP.
SPE Inventor CISSP · CISA · PMP Security Attribution RAG / MCP / AI Snowflake & Power BI NIST
Dr. Bill Hunkapiller
Co-Founder · Keynote Speaker · CISSP, PMP
A transformational cybersecurity and IT executive with over three decades of experience leading large-scale security operations, incident response, governance, and compliance programs across higher education, government, and Fortune 500 organizations.
Renowned for building resilient cyber programs, modernizing enterprise infrastructure, and leading with transparency and strategic clarity. Proven success in crisis management, board-level advising, public-private partnerships, and translating complex cyber threats into actionable business decisions. An accomplished public speaker and thought leader regularly invited to present at major industry conferences and international forums.
Security Operations Board Advisory Incident Response Governance & Compliance Public-Private Partnerships Thought Leadership
ADVISORS & AFFILIATIONS
Florida State University Research Foundation
NSF Innovation Corps Graduate
AWS Activate Portfolio Company
Snowflake Startup Program
START THE CONVERSATION

Serious interest deserves a serious conversation.

We work with a small number of strategic partners and investors at any given time. If you're evaluating Scientia for licensing, investment, or technical due diligence, we'll make time for a direct briefing with our technical and executive team.

tdoughty@fsu.edu
(850) 363-5041
Tallahassee, FL
Request a Briefing
All inquiries responded to within 1 business day. NDA available upon request.