About QuanTomo
Mission, differentiation, positioning
Harness quantum-grade analytics and ontological intelligence to transform data into trusted, actionable insight.
Mission
Trusted, actionable insight
Use quantum-grade analytic tomography and ontology-grounded reasoning to deliver explainable, reliable decisions.
Differentiation
Grounded over guesses
OLM enforces anchors and validators; QAT reveals non-obvious structure. Together: discovery without hallucination.
Positioning
Discovery before the question
A priori discovery engine integrated with enterprise stacks and governance for high-stakes decisions.
Key Features
Proactive, Quantum Speed, Semantic Depth
From anticipating needs to context-rich answers with traceable logic.
Proactive Questioning
From ingest to explanation
Ingest & Map → A Priori Scan (∩ ∪ ¬, COG) → Formulate → Validate → Explain
Quantum Speed
Parallel exploration
Quantum/quantum-inspired algorithms + ontological pruning accelerate discovery.
Semantic Depth
STTS framing
Spatial, Temporal, Thematic, Semantic context for relevance and comparability.
QuanTomo × OLM: How It Works
Anchors, validators, STTS, guardrails
OLM is the semantic engine that limits hallucinations and enables discovery.
Core Primitives
What’s inside
Anchors • Validators • STTS Context • Discovery Graphwalks
Guardrails
Safety first
No anchor → no assertion. Violated hard rule → block/revise. Missing provenance → hypothesis + test.
Discovery Pipeline
From gaps to tests
COG Scanning → Set-Logic Probing → Hypothesis Generation → Experiment Hooks
Technology Deep Dive
QAT with mean-field Hamiltonian; Vogon integration
Physics-informed discovery meets ledger-anchored provenance.
QAT
Analytic tomography
Running analytic tomography using a mean-field Hamiltonian to approximate interacting systems and reveal emergent patterns.
OLM
Semantic backbone
JSON-LD native • PROV-O provenance • SKOS/BFO/UFO compatible • Base58 canonical hashes.
Integration with Vogon Cloud
Enterprise-grade integrity
Distributed ledger anchoring • Validator quorum • Federated secure deployments.
Industries & Outcomes
GICS-aligned value
Sector-specific outcomes with measurable business impact.
Consumer Staples
Supermarkets
Predict demand shifts and optimize inventory to reduce waste and improve margins; surface buying-pattern risks weeks in advance.
Financials
Commercial Banks
Identify subtle fraud patterns earlier, cutting detection cycles by up to 30% while lowering compliance review costs.
Healthcare
Genomic diagnostics
Accelerate variant interpretation with hypothesis trails and assay-ready validation plans.
Energy
Renewable electricity
Grid-aware dispatch, resilience-first siting, and OPEX optimization with explainable constraints.
Market Thesis
TAM, CAGR, defensibility
Global analytics market projected >$650B by 2030 (CAGR > 25%). QuanTomo targets multi-trillion GICS sectors with a defensible fusion of QAT + OLM integrated with Vogon Cloud.
Financial Services
Analytics spend
$50B+ annual spend on fraud, risk, and compliance analytics.
Consumer Staples
Growth driver
≈18% CAGR in analytics due to supply-chain volatility and demand forecasting needs.
Healthcare Diagnostics
Segment size
Projected ~$40B analytics market by 2030.
Defensibility
Sustained edge
Proprietary QAT + OLM patterns, ontology-gated generation, and ledger-anchored provenance create switching costs.
Contact
Demo, partnership, investor info
Reach out to see QuanTomo in action or discuss collaboration.
CTAs
Next steps
Join the Quantum Revolution
Don’t search. Discover. Experience quantum-powered, ontology-grounded insights with QuanTomo.