Direct energy forecasts on generation capacity, demand, infrastructure events, climate-fund allocation. The founding vertical of Phronesis. Customer class: capital allocators in energy infrastructure, utility and grid operators, energy-sector corporate strategy, climate-aligned funds.
Archetypes
- E1 Generation capacity additions by region and technology, multi-year horizon
- E2 Locational marginal price (LMP) trajectories under capacity scenarios
- E3 Interconnection queue throughput and project-completion probability
- E4 Critical-minerals supply chain availability for energy-storage build
- E5 FERC ruling and state PUC docket outcome probabilities
Co-primary vertical with Energy. Forecasts on AI compute power demand, data center electrification, GPU and HBM production, hyperscaler capex, training run trajectories. Cross-vertical Phronesis Grid-Compute Forecast is the flagship intersection product. Customer class: data center operators, hyperscaler infrastructure, utility forecasting desks needing compute-side demand, semiconductor analysts, AI-infrastructure-focused capital allocators.
Archetypes
- I1 Phronesis Grid-Compute Forecast — cross-vertical AI-compute power demand × grid-capacity intersection (FLAGSHIP)
- I2 GPU + HBM production capacity vs hyperscaler capex demand
- I3 Inference cost trajectory by model class and provider
- I4 Data center build cadence by region and power-availability profile
- C1 AI training run trajectory (cluster size, model scale, time-to-first-token)
Disease incidence, population-health, public-health system forecasts. Operates exclusively under HIPAA Safe Harbor enforcement at the code layer via the Themis-Healthcare substrate; PHI is architecturally excluded from the inference path. Customer class: payers and providers, public-health agencies, pharmaceutical demand forecasting, clinical-trial site planning.
Archetypes
- H1 US disease incidence per 100k by demographic and region (e.g., Type 2 diabetes; first H-archetype minted)
- H2 Population-health metric trajectories (life expectancy, age-adjusted mortality)
- H3 Health system capacity by service line and region
- H4 Public-health intervention effect estimates
- H5–H8 Additional H-archetypes in pre-launch substrate
Physical-risk forecasts: hurricane and wildfire frequency, sea-level-rise impact zones, extreme-weather probability, asset-level exposure modeling. Customer class: insurance and reinsurance underwriting, commercial real estate diligence, climate-disclosure funds, infrastructure resilience planning.
Regulatory environment forecasts: legislation passage probability, agency rulemaking timing, jurisdictional outcome variability. Cross-cutting Themis-Regulatory substrate layer at architecture level. Customer class: lobbyists and trade groups, corporate government-affairs, regulators themselves, compliance-aware capital allocators.
Supply-chain resilience forecasts: critical-minerals availability, logistics throughput, manufacturing-supply-chain disruption probability, commodity flow scenarios. Customer class: logistics operators, commodity traders, manufacturing supply-chain teams, critical-minerals investment funds.
Space-economy forecasts: launch cadence, IPO probability, orbital-debris density, mission-budget trajectories, commercial-space-station deployment, lunar infrastructure timing, space-based solar power feasibility. Themis-Space cluster enforces ITAR/EAR + national-security-payload + crewed-mission + insurance-grade actuarial hard lines. Customer class: space-economy capital allocators, commercial-space companies, defense-aerospace investors, regulatory observers.
Archetypes
- C1 SpaceX IPO probability by Q4 2027 (52% canonical p50; first C-archetype minted)
- C2 Commercial launch cadence by provider and orbit class
- C3 Orbital infrastructure deployment cadence
- S1–S6 Additional S-archetypes in pre-launch (orbital debris density, STM, mission-budget, etc.)
Humanoid and autonomous-system deployment cadence forecasts. Universal cross-pollinator vertical: intersects with V#1 (energy infrastructure robotics), V#2 (compute substrate for robotics), V#7 (space robotics). Per Karpathy diligence Q7: archetype weighting favors digital-interface forecasts (sensors, actuators, software stack maturation) over full-stack autonomy timing. Customer class: industrial robotics buyers, humanoid-platform investors, automation supply-chain analysts, defense-robotics observers.
Archetypes
- R1 Humanoid robot industry deployment cadence by region and customer-segment (first R-archetype minted)
- R2 Industrial robotics market sizing by sector
- R3 Autonomous vehicle deployment timing by jurisdiction
- R4–R6 Cross-vertical I_V2×V8 + I_V7×V8 archetypes
AGI capability arrival forecasts, alignment-research milestone substrate, AI-safety regulatory cadence per jurisdiction, compute-capability economics, recursive self-improvement substrate-evidence, multi-AI ensemble emergent capabilities. Cross-vertical V#9 × V#2 (capability × grid + compute availability) substrate-aligned. Customer class: frontier AI lab compliance + GC functions, regulated-entity AI deployment teams, AI-investing capital allocators, cross-border AI governance bodies.
Archetypes
- AGI-T AGI capability-class arrival with p10/p50/p90 confidence band
- CAP-D Capability-delta substrate-evidence (benchmark + parameter-scale + training-compute attestation)
- ALIGN-M Alignment-research milestone (paper + lab + reproducibility citation)
- REG-C AI-safety regulatory cadence per specific jurisdiction
- COMP-E Compute-capability economics arithmetic (training-compute × parameter-count × capability × cost)
AI-accelerated materials discovery cadence, physics experimentation cadence per lab and per funding class, battery chemistry breakthroughs, superconductor discovery timelines, advanced manufacturing substrate transitions. Cross-vertical V#10 × V#12 quantum-chemistry-simulation accuracy substrate. Customer class: materials investors, national-lab program managers, advanced manufacturing capital allocators.
Archetypes
- AI-MAT AI-accelerated materials discovery cadence forecast
- PHY-X Physics experimentation cadence (per-lab × per-funding-class)
- BAT-B Battery chemistry breakthrough timeline forecast
- SUP-D Superconductor discovery timeline forecast
- MFG-S Advanced manufacturing substrate transition forecast
Lifespan extension trajectories, biomarker clock validation (Horvath / GrimAge / phenotypic-age / proteomic / metabolomic), geroscience trial outcomes (rapamycin / metformin / senolytic / parabiosis), longevity therapy pipeline progression, cellular rejuvenation substrate (Yamanaka factor reprogramming + epigenetic age reversal). Cross-vertical V#11 × V#3 aging-cascade healthcare substrate. HIPAA-adjacent intake discipline at Themis cluster #99 boundary (population-aggregate / de-identified-only; PHI never persisted). Customer class: longevity / biotech capital allocators, biopharma demand forecasting.
Archetypes
- LIFE-X Lifespan extension trajectory (population-level + biomarker-anchored sub-populations)
- BIO-C Biomarker clock validation (per-clock validation cadence)
- GERO-T Geroscience trial outcome (per-trial reproducibility substrate)
- LONG-P Longevity therapy pipeline progression (per-mechanism × per-stage)
- CELL-R Cellular rejuvenation substrate (Yamanaka + epigenetic age reversal)
Quantum supremacy / quantum advantage milestones, qubit scaling trajectories per technology (superconducting / trapped-ion / neutral-atom / photonic / topological), post-quantum cryptography migration (NIST PQC FIPS 203/204/205 + jurisdiction migration deadline 2030), quantum chemistry simulation accuracy. Themis cluster #101.5 enforces US-and-allied quantum vendor canonical-attestation (Chinese quantum vendors PROHIBITED per Lesson #28-COO-vendor BINDING extension). Cross-vertical V#12 × V#10 quantum-chemistry-simulation + V#12 × V#5 PQC regulatory cadence + V#12 × V#2 PQC × data-center cryptographic migration. Customer class: quantum computing investors, hyperscaler tenants, cross-border crypto-governance bodies, insurance underwriters.
Archetypes
- Q-SUP Quantum supremacy / quantum advantage milestone
- Q-SCALE Qubit scaling trajectory (per-vendor × per-technology)
- PQC-MIG Post-quantum cryptography migration (NIST FIPS 203/204/205 + jurisdiction migration deadline)
- Q-CHEM Quantum chemistry simulation accuracy (cross-product V#12 × V#10 flagship)
- Q-VEND Quantum vendor canonical-attestation (US-and-allied allowlist per Themis #101.5)