// domains · v2.2

Fourteen verticals. One reasoning core.

Every domain pack ships with a pre-tuned cohort of cognitive organs, a domain ontology, and signal calibrations from real cases. The reasoning core stays constant — what changes is which of the 404 organs are taught to see.

14+ domains liveup to 404 organs per Omega run9 capability layers5 nested activation modesSSE streamed output
Financial Modeling & Risk
D01 · v0.7LIVE

Financial Modeling & Risk

Latency · deep · ~3.4mConfidence band · σ ± 0.12
D01 · domain

Financial Modeling & Risk

Risk-adjusted forecasting, capital allocation, and stress scenarios — modeled in parallel across nine force variables, not collapsed into a single point estimate.

L1 CoreL3 TemporalL4 DomainL5 AdversarialL7 Memory
// signals & spec
Latency · deep
~3.4m
Confidence band
σ ± 0.12
Domain signals
27
Deployed since
v0.7
// representative signals
Capex pacingF3 · F4 · F8

Phase capital deployment against demand variance and momentum decay across the planning horizon.

Recommendation: defer 38% of Q4 outlay → Q1. Confidence 0.81. Trace: 142 agent-steps.
Liquidity stressF4 · F5 · F8

Adverse-scenario cash-flow paths across covenant, FX, and rate shocks.

12-month runway holds in 7/9 simulated regimes. Trigger covenant breach in regime 04 at -180bps EBITDA.
M&A signal triageF1 · F6 · F7

Target screening with second-order coupling effects across portfolio.

3 of 47 screened targets pass force-7 coupling threshold. Cohort dissent: 9 of 40 agents.
// force load · per-run avg
F3Momentum
F4Cost
F8Volatility
F1Intent
F5Constraint
load = % of 90 agents touching this force in a deep run
measured across last 30 sessions in this domain
Supply Chain Optimization
D02 · v0.6LIVE

Supply Chain Optimization

Latency · deep · ~2.8mDomain signals · 34
D02 · domain

Supply Chain Optimization

Multi-tier disruption modeling. Tracks tier-1 through tier-4 supplier risk, port congestion, and lead-time distributions — not averages.

L1 CoreL3 TemporalL4 DomainL6 Scale-BridgeL7 Memory
// signals & spec
Latency · deep
~2.8m
Domain signals
34
Tier visibility
T1 → T4
Deployed since
v0.6
// representative signals
Tier-2 concentrationF7 · F4

Identify single-points-of-failure two tiers deep, weighted by replacement lead time.

14% of revenue dependent on a single tier-2 node. Mitigation: dual-source path 0x71b.
Disruption pathF3 · F6 · F8

Simulate cascading shutdowns from origin point through downstream SKUs.

14-day plant shutdown impacts 62% of SKUs. Recovery curve: 41 days at current substitutability.
Inventory postureF4 · F8

Optimal buffer levels per SKU given volatility and carrying cost.

Reduce working capital by ₹4.2cr by reshaping buffer on 18 low-vol SKUs.
// force load · per-run avg
F7Coupling
F3Momentum
F4Cost
F8Volatility
F6Exploration
load = % of 90 agents touching this force in a deep run
measured across last 30 sessions in this domain
Healthcare Diagnostics
D03 · v0.8LIVE

Healthcare Diagnostics

Latency · standard · ~14sDomain signals · 51
D03 · domain

Healthcare Diagnostics

Clinical decision support with full provenance. Every output is traceable back to the agent cohort, evidence chain, and confidence calibration that produced it.

L1 CoreL2 PerceptionL4 DomainL7 MemoryL8 Communication
// signals & spec
Latency · standard
~14s
Domain signals
51
Trace depth
agent-level
Deployed since
v0.8
// representative signals
Differential rankingF1 · F8 · F9

Probabilistic differential across symptom vector with explicit uncertainty.

Top-3 differentials carry combined 0.84 mass. Provenance: 27 evidence nodes, signed.
Treatment pathwayF4 · F5 · F8

Cost-effectiveness across regimen alternatives with constraint enforcement.

Pathway A dominates B at p < 0.05 across 4 of 5 outcome dimensions.
Outlier flagF6 · F9

Surface cases whose features fall outside the cohort distribution.

2.3% of caseload flagged as out-of-distribution. Routed to specialist review queue.
// force load · per-run avg
F9Provenance
F5Constraint
F1Intent
F8Volatility
F4Cost
load = % of 90 agents touching this force in a deep run
measured across last 30 sessions in this domain
Energy Grid Management
D05 · v0.7LIVE

Energy Grid Management

Latency · reflex · ~480msDomain signals · 38
D05 · domain

Energy Grid Management

Load balancing, dispatch optimization, and weather-coupled forecasting at substation granularity. Sub-second decisions on a 90-agent cohort.

L1 CoreL2 PerceptionL3 TemporalL4 DomainL9 World-Model
// signals & spec
Latency · reflex
~480ms
Domain signals
38
Granularity
substation
Deployed since
v0.7
// representative signals
Dispatch optimizationF3 · F4 · F8

Real-time generator dispatch across constraints and weather coupling.

3.1% cost reduction vs baseline dispatch over 7-day backtest. Constraint violations: 0.
Demand forecastF3 · F6

Substation-level demand curves with confidence bands.

24h forecast σ = 1.8%. Outperforms regional ensemble by 0.7σ.
Renewable integrationF6 · F7 · F8

Stochastic intake from solar/wind under grid stability constraints.

Curtailment reduced by 11% at constant frequency stability score.
// force load · per-run avg
F3Momentum
F8Volatility
F4Cost
F7Coupling
F6Exploration
load = % of 90 agents touching this force in a deep run
measured across last 30 sessions in this domain
Defense & Geopolitical Intel
D06 · sovereign / on-premLIVE

Defense & Geopolitical Intel

Latency · deep · ~5.1mDomain signals · 64
D06 · domain

Defense & Geopolitical Intel

Multi-actor scenario modeling. Signal triage at scale. Escalation paths surfaced with probability bands rather than narrative speculation.

L1 CoreL2 PerceptionL3 TemporalL4 DomainL5 AdversarialL6 Scale-BridgeL9 World-Model
// signals & spec
Latency · deep
~5.1m
Domain signals
64
Actor models
agent-graph
Deployment
sovereign / on-prem
// representative signals
Escalation treeF1 · F7 · F8

Branch-and-bound exploration of actor moves with volatility bands.

5 paths exceed escalation threshold τ. Confidence band 0.41 → 0.72.
Signal triageF6 · F9

Surface anomalous signals from noise; tag provenance to specific cohort agents.

14 of 11,402 signals exceed novelty threshold. Routed to analyst.
Capability inferenceF1 · F3 · F8

Estimate actor capability with explicit uncertainty.

Capability vector updated. Two dimensions revised upward; one downward.
// force load · per-run avg
F1Intent
F7Coupling
F8Volatility
F9Provenance
F6Exploration
load = % of 90 agents touching this force in a deep run
measured across last 30 sessions in this domain
Climate & Environment
D07 · v0.8LIVE

Climate & Environment

Latency · deep · ~6.4mDomain signals · 46
D07 · domain

Climate & Environment

Coupled physical-economic modeling for transition strategy, asset risk, and operational adaptation.

L1 CoreL3 TemporalL4 DomainL6 Scale-BridgeL9 World-Model
// signals & spec
Latency · deep
~6.4m
Domain signals
46
Horizons
5y / 25y / 75y
Deployed since
v0.8
// representative signals
Asset-level riskF8 · F4

Physical risk under multiple emission pathways at site granularity.

17% of assets exceed risk threshold in SSP2-4.5 by 2040. Capex reroute proposed.
Transition costF4 · F3 · F5

Levelized cost of transition pathways with regulatory drift.

Pathway B dominates A at NPV +₹620cr. Sensitivity to carbon price slope: high.
Supply chain couplingF7 · F8

Climate-induced supplier risk propagation across the tier graph.

Tier-2 weather coupling adds σ = 0.09 to revenue forecast.
// force load · per-run avg
F8Volatility
F4Cost
F3Momentum
F7Coupling
F5Constraint
load = % of 90 agents touching this force in a deep run
measured across last 30 sessions in this domain
Pharma R&D Pipeline
D08 · v0.7LIVE

Pharma R&D Pipeline

Latency · deliberate · ~38sDomain signals · 58
D08 · domain

Pharma R&D Pipeline

Pipeline triage, trial design under uncertainty, and regulatory pathway optimization. Confidence bands on every prediction.

L1 CoreL4 DomainL5 AdversarialL7 MemoryL8 Communication
// signals & spec
Latency · deliberate
~38s
Domain signals
58
Provenance
signed DAG
Deployed since
v0.7
// representative signals
Pipeline rankingF1 · F4 · F8

Risk-adjusted NPV across candidates with stage-gated decision points.

3 of 14 candidates exceed threshold expected value. Trace: 4 force vectors, signed.
Trial designF6 · F8

Adaptive trial topology with explicit exploration-exploitation budget.

Reduce N by 22% at same power via adaptive Bayesian design.
Regulatory routingF5 · F9

Path selection across regulatory pathways with timeline distributions.

Pathway 2 expected approval at T+18mo ± 4mo. Pathway 1: T+26mo ± 7mo.
// force load · per-run avg
F8Volatility
F9Provenance
F5Constraint
F4Cost
F6Exploration
load = % of 90 agents touching this force in a deep run
measured across last 30 sessions in this domain
Real Estate & Infrastructure
D09 · v0.6LIVE

Real Estate & Infrastructure

Latency · standard · ~28sDomain signals · 31
D09 · domain

Real Estate & Infrastructure

Site selection, demand modeling, and infrastructure capacity planning grounded in coupled urban-economic signals.

L1 CoreL3 TemporalL4 DomainL6 Scale-BridgeL9 World-Model
// signals & spec
Latency · standard
~28s
Domain signals
31
Geo granularity
ward-level
Deployed since
v0.6
// representative signals
Site scoringF1 · F4 · F7

Composite site score across 18 demand drivers and 11 cost factors.

6 sites exceed return threshold. Top-1 vs Top-2 spread: 4.1% IRR.
Demand curveF3 · F8

Granular demand forecast with confidence bands by use class.

Residential demand σ = 2.4%; commercial σ = 5.8%. Caution: post-period coupling.
Capacity planningF3 · F4 · F8

Stage infrastructure capacity against demand uncertainty.

Defer phase-2 expansion by 14 months. Holds 92% of NPV at 38% reduced capex.
// force load · per-run avg
F4Cost
F3Momentum
F1Intent
F8Volatility
F7Coupling
load = % of 90 agents touching this force in a deep run
measured across last 30 sessions in this domain
Marketing Strategy
D10 · v0.8LIVE

Marketing Strategy

Latency · standard · ~18sDomain signals · 29
D10 · domain

Marketing Strategy

Channel attribution under uncertainty, segment-level lifetime curves, and counterfactual modeling — beyond MMM black boxes.

L1 CoreL3 TemporalL4 DomainL7 MemoryL8 Communication
// signals & spec
Latency · standard
~18s
Domain signals
29
Attribution
counterfactual
Deployed since
v0.8
// representative signals
AttributionF7 · F8

Counterfactual channel contribution with explicit uncertainty.

Channel C attributable revenue revised -31% vs MMM baseline. Trace: 8 lift experiments.
LTV by segmentF3 · F8

Segment-level lifetime curves with cohort-specific volatility.

Top quintile LTV: ₹84k ± 12k. Bottom quintile: ₹4.2k ± 1.8k.
Budget shapeF4 · F6

Optimal budget allocation under diminishing returns and exploration.

Shift 14% of budget from C → A. Expected gross margin gain: 2.1%.
// force load · per-run avg
F7Coupling
F4Cost
F8Volatility
F6Exploration
F3Momentum
load = % of 90 agents touching this force in a deep run
measured across last 30 sessions in this domain
Manufacturing & Operations
D11 · v0.7LIVE

Manufacturing & Operations

Latency · standard · ~12sDomain signals · 37
D11 · domain

Manufacturing & Operations

Throughput modeling, defect-cost tradeoff, and supplier risk — coupled into a single agent run, not stitched from three dashboards.

L1 CoreL2 PerceptionL3 TemporalL4 DomainL6 Scale-Bridge
// signals & spec
Latency · standard
~12s
Domain signals
37
Granularity
line-level
Deployed since
v0.7
// representative signals
Throughput modelF3 · F4

Per-line throughput under variable defect rates and changeover cost.

Sequence reorder lifts throughput by 4.8% at constant defect cost.
Defect costF4 · F8

Total cost of defects including downstream returns and warranty.

True defect cost is 2.7× recorded cost when downstream effects are coupled.
Supplier riskF7 · F4

Per-supplier risk score with substitutability cost.

Supplier 0x71 carries 9.2% throughput risk. Substitute pathway adds 11% per-unit cost.
// force load · per-run avg
F3Momentum
F4Cost
F7Coupling
F8Volatility
F6Exploration
load = % of 90 agents touching this force in a deep run
measured across last 30 sessions in this domain
Government Policy Analysis
D12 · sovereign / on-premLIVE

Government Policy Analysis

Latency · deep · ~4.6mDomain signals · 49
D12 · domain

Government Policy Analysis

Impact estimation under uncertainty, stakeholder modeling, and second-order effects — surfaced before legislation, not after.

L1 CoreL4 DomainL5 AdversarialL6 Scale-BridgeL8 CommunicationL9 World-Model
// signals & spec
Latency · deep
~4.6m
Domain signals
49
Stakeholder graph
n × n
Deployment
sovereign / on-prem
// representative signals
Impact estimateF3 · F4 · F8

First and second-order policy impact with explicit uncertainty bands.

Estimated employment impact: +0.4% ± 0.3%. Second-order tax base effect: +0.2%.
Stakeholder modelF1 · F7

Equilibrium response across stakeholder graph under proposed change.

3 stakeholder clusters register loss exceeding political threshold. Mitigation paths attached.
CounterfactualF6 · F9

Compare against unchanged baseline with provenance trace.

Net welfare gain +0.6% ± 0.4% over 5-year horizon. Trace: signed.
// force load · per-run avg
F1Intent
F7Coupling
F4Cost
F8Volatility
F9Provenance
load = % of 90 agents touching this force in a deep run
measured across last 30 sessions in this domain
D13 · sovereign / on-premLIVE

Cybersecurity & Threat Intel

Latency · reflex · ~620msDomain signals · 58
D13 · domain

Cybersecurity & Threat Intel

Threat triage, attack-path modeling, and posture assessment under adversarial pressure. Built around the assumption that the input is hostile.

L1 CoreL2 PerceptionL4 DomainL5 AdversarialL6 Scale-Bridge
// signals & spec
Latency · reflex
~620ms
Domain signals
58
Threat models
MITRE-ATT&CK
Deployment
sovereign / on-prem
// representative signals
Attack-path graphAdversarial · Domain · Coupling

Enumerate viable attack chains across the asset graph with kill-chain stage scoring.

9 viable paths exceed exploit-feasibility threshold. Top path: 3 hops, expected detection T+11min.
Anomaly triagePerception · Adversarial · Volatility

Triage signals from EDR/NDR/IDS streams; surface novelty above noise floor.

14 of 22,408 events exceed novelty threshold. Routed to L1 analyst with provenance trace.
Posture driftTemporal · Constraint · Provenance

Detect security-posture decay before next scheduled audit cycle.

Posture score −4.2 pts over 14d. Top contributors: cert rotation lag, IAM scope creep, patch backlog on subnet 0x71.
// force load · per-run avg
F5Constraint
F6Coupling
F1Intent
F7Provenance
F5Volatility
load = % of 90 agents touching this force in a deep run
measured across last 30 sessions in this domain
D14 · v2.0LIVE

Insurance & Actuarial Risk

Latency · deliberate · ~52sDomain signals · 44
D14 · domain

Insurance & Actuarial Risk

Reserve adequacy, catastrophe modeling, and underwriting decisions under tail risk. Per-policy granularity; coupled to climate, supply, and macro signals.

L1 CoreL3 TemporalL4 DomainL5 AdversarialL7 MemoryL9 World-Model
// signals & spec
Latency · deliberate
~52s
Domain signals
44
Granularity
per-policy
Deployed since
v2.0
// representative signals
Reserve adequacyVolatility · Constraint · Temporal

Estimate ultimate loss under multiple reserve methodologies and pressure-test.

Current reserves adequate at 0.92 confidence for 1-in-100 year scenario. Shortfall at 1-in-250: ₹12cr.
Cat modelingWorld-Model · Domain · Coupling

Catastrophe loss simulation coupled to climate scenarios and concentration risk.

Coastal portfolio: +38% loss variance under SSP2-4.5. Diversification opportunity in Tier-2 cities scored.
Underwriting triageAdversarial · Intent · Memory

Per-risk scoring with explicit adverse-selection and fraud-pattern detection.

2.4% of submissions flagged for review. Of those, 38% prior cluster-match — escalated.
// force load · per-run avg
F5Volatility
F4Constraint
F3Momentum
F7Provenance
F6Coupling
load = % of 90 agents touching this force in a deep run
measured across last 30 sessions in this domain
// custom domain

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