Platform Essentials
The governed decision layer your team operates on.
Pricing
Pricing built around the Hybrid Intelligence Platform
Decision Deck is licensed as a Platform Tenancy with add-on capabilities, base models and Decision Blocks scoped to your decision environment. Pricing is sales-qualified to your use case, deployment and governance needs.
How pricing works
Four things make up your quote
01 — Tenancy
02 — Capabilities
Add-ons
Behavioural Dynamics, Policy Dynamics, Evidence Vault.
03 — Models
Base models
Explainable defaults for each decision shape.
04 — Patterns
Decision Blocks
Reusable decision patterns deployed in your environment.
Platform Tenancy
Platform Essentials
The core licence for operating on the Hybrid Intelligence Platform.
Platform Tenancy
Core licence
Platform Essentials
Everything you need to train, explain and govern transparent decision models on the Hybrid Intelligence Platform, with evidence-ready outputs built in from day one.
What's included
12 capabilities
- Transparent LearningTrain, tune and maintain explainable predictive models using data, rules and injected human knowledge.
- InductionLearn patterns and structures from data in a transparent model environment.
- Rule EditingAdjust decision logic, thresholds and constraints within governed model workflows.
- Human Knowledge InjectionAdd domain knowledge, expert judgement and business logic directly into the decision system.
- ExplanationsGenerate explanation outputs alongside predictions.
- Cause and EffectSurface causal relationships and dependency structures that influence outcomes.
- CounterfactualsIdentify what would need to change for a different outcome to become possible.
- Interventional ExplanationsAssess how changes to specific inputs, policies or assumptions affect model outcomes.
- Knowledge DynamicsMaintain structured knowledge representations that support explainable decisioning.
- Knowledge GraphRepresent entities, relationships and decision context in structured form.
- HypergraphRepresent higher-order relationships across data, logic, rules and model structure.
- Evidence-ready OutputsGenerate core decision evidence and explanation payloads with each model output.
Add-on Capabilities
Extend the platform where it matters
Add governed capabilities to Platform Essentials when your decision environment needs them.
Add-on capability
Behavioural Dynamics
Entity behaviour modelling, state changes, behavioural patterns, journey-level context, vulnerability signals and behavioural segmentation.
Sales-qualified
Contact us
Add-on capability
Policy Dynamics
Policy-as-Code, deterministic constraints, rule execution, thresholds, overrides, approval logic and controlled re-evaluation.
Sales-qualified
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Add-on capability
Evidence Vault
Evidence retention, replay, audit packs, decision history, traceability, evidence querying and governance reporting.
Sales-qualified
Contact us
Base Models
Transparent models for every decision shape
Choose the model types your decision environment needs. Every base model is explainable and evidence-ready.
Regression Model
Predicts a continuous value, score, amount or measurement.
Classification Model
Predicts a class, category, decision state or outcome group.
Forecasting Model
Predicts future values, events, behaviours or states over time.
Multi-Output Prediction Model
Predicts several related outcomes from the same decision context.
Sequence or Series Model
Interprets patterns across time, events or ordered data.
Recommendation Scoring Model
Scores options, actions or entities for recommendation workflows.
Decision Blocks
Reusable decision patterns
Pre-built, governed decision patterns you can deploy and combine across your environment.
Matching
Matches people, cases, products, services, resources or options against structured criteria and contextual constraints.
Risk Stratification
Groups entities, cases or events by risk level, urgency, exposure or required treatment pathway.
Case Triage
Prioritises, routes and allocates cases based on urgency, complexity, evidence quality, capacity and policy requirements.
Exception Handling
Identifies risk in normal paths due to missing evidence, conflicting signals, policy blocks or low confidence.
Recommendations
Identifies suitable actions, options or interventions based on predicted outcomes, constraints and decision objectives.
Noise Resilience
Supports decisioning where data is incomplete, inconsistent, ambiguous or affected by unreliable signals.
The best next step is a short conversation
Tell us the decision problem and deployment path, and we'll scope the right tenancy, add-ons, models and Decision Blocks.