Decision AI Platform

Enterprise Decision AI

Infrastructure

Continuous, Context-Aware, Cross-Functional.

#2
World Rank
Enterprise Reasoning
2.5×
Lift in Decision
Success Rate
$270M+
Decision
Capital Managed
Signals
Reason
Decide
Track
Learn
Blindspot
Forecast
Stress test
Strategic
Operational
Execution
RCA
Competitive
Scenarios
Optimise
Tactical
Investment
Memory
DX
Detecting cross-functional signals
0signals detected
Pipeline velocity down 18%
CRM · last 14 days
Warn
NPS score up 12 pts (Q3→Q4)
Survey · last 30 days
+↑
Competitor price cut 12%
Market intel · this week
Watch
Scanning ERP, market feeds
Decision reasoning
Strategy lead
Why is pipeline slowing despite strong NPS? Should we push enterprise this quarter?
Pulling CRM pipeline and deal velocity data
Cross-referencing NPS signals with win rate
Assessing margin floor and capacity risk
DecisionX
Ask a follow-up question...
Decision
Accelerate enterprise
with margin and capacity guardrails
Primary actionTarget top-20 accounts
Margin floor32%
Capacity triggerOEE above 94%
Review cadence28-day checkpoint
Confidence
87%
Shared via
Email
Slack
Delivered
Track
Execution alignment & investment returns
Enterprise push on plan
92%
Top-20 account pipeline
+23%
Margin floor maintained
34%
28-day review signal
Due
+23%
Pipeline lift
87%
On-plan rate
Day 28
Review due
Enterprise push ↑23%
NPS causal: cycle length
Institutional memory
Decisions recorded
0
Patterns identified
0
Replication rate
0%

Powering 30,000+ Decisions

Trusted by Strategy & AI Teams

NVIDIA Inception Program Recognized by NVIDIA as an AI Startup to watch out for

Platform · Five Capabilities

Five capabilities. One continuous decision system.

Each layer maps directly to how leadership decisions actually happen, from raw data to governed action.

Always-on context Live signals Organisational reasoning
01 Unified Context Layer screenshot
Foundation

Unified Context Layer

Connects all data sources into one continuously updated causal model. Every signal, every source, one coherent picture. Deploys in weeks, not months.

SnowflakeBigQuerySalesforceHubSpotSlackAPIs
02 Signals layer screenshot
Signals

Signals

Surfaces early indicators before they hit your KPIs. What's changing inside the business and what's shifting in the market outside it are fused into one continuous signal layer, not two disconnected feeds.

Anomaly detectionRoot causeCompetitor intelMarket signalsRegulatory shiftsOpportunity flags
03 Reasoning Engine screenshot
Understand

Reasoning Engine

Ask any business question in plain language. It routes automatically to the right method (correlation, attribution, or forecasting) and explains its reasoning.

CorrelationAttributionForecastingRoot cause
04 AI Reports screenshot
Decide

Reports

Board packs, slide decks, and executive summaries generated automatically from live data, with no manual assembly. Ask in plain language and get a board-ready deliverable back.

Chat to SlidesChat to BoardsAuto board packsExecutive summaries
05 Boards screenshot
Learn

Boards

Every decision captured in one place, with full context and rationale, tracked over time. What used to live in scattered decks and meeting notes becomes structured, searchable institutional memory.

Decision logLive boardsOutcome trackingInstitutional memory

The Decision Lifecycle

Multi-layered, cross-functional reasoning.

Your dashboards tell you what is happening. DecisionX tells you why, what happens next and what to do about it.

Each decision runs through the same five-layer lifecycle.
Blindspot
Forecast
Stress test
Strategic
Operational
Execution
RCA
Layer 01
Signals
Layer 02
Reason
Layer 03
Decide
Layer 04
Track
Layer 05
Learn
Competitive
Scenarios
Optimise
Tactical
Investment
Memory
01
Signals
What is happening inside and outside?
Blindspot monitoring
Internal signals pipeline, revenue, ops, hiring
Competitive monitoring
External signals market, competitors, macro
02
Reason
What does it mean, and what are our options?
Forecasting
One canonical number all decisions navigate from
Scenario planning
If X, what changes? Option space
Stress testing
Does it hold under compound pressure?
Optimisation
Where does the resource go?
03
Decide
Commit, allocate, act at the right altitude
Strategic
Portfolio bets, M&A, market entry
Operational
Trade spend, launch model, capex plan
Tactical
Promo adjustment, pricing response
04
Track
What is the impact?
Execution alignment
Is the plan being run? Leading signal.
Investment tracking
Did the bet pay off? Decision record connected to outcome.
05
Learn
Close the loop.
RCA & attribution
Causal chains: root, not symptom
Institutional memory
Accumulated patterns, new hires can replicate

From Data to Decisions

Go Live in 15 Days.

Agents do the work. Your team approves. No data engineering sprint required.

01
Day 0
Connect structured & unstructured data
Structured and unstructured sources, connected from day one.
Google Drive BigQuery HubSpot MS Teams Warehouse
02
Day 1
Data Ops Agents clean & unify
25 agents clean, structure and enrich data autonomously.
Messy files Metadata Lineage ETL ops Semantic joins
03
Day 10
Ontology Agents build the Causal State Graph
Data, Domain and Decision ontology built autonomously. Human approved before going live.
Built by Agents Human approved Data ontology Domain ontology Decision ontology
04
Day 15
Chat-based reasoning goes live
Cross-functional reasoning, signals and briefs grounded in your enterprise context.
Blindspot detection Foresight Reasoning Board briefs

Ontology Studio · State of Art · AI Teams

Three Ontologies.
One Causal State Graph.

Ontology Studio builds a living causal model of your enterprise across data, domain knowledge and decision history. Agents do the extraction. Your team governs what gets used.

01
Data Ontology

Metrics, schema and lineage

Agents extract source systems, metric definitions, schema and data lineage automatically. AI understands what gross_margin_pct means in your business, not just how to spell it.

MetricsSchemaLineageConventions
02
Domain Ontology

Industry rules and business logic

Import semantic models, brand hierarchies, channel structures and operating workflows. The context your business runs on, formalised and machine-readable.

BrandsChannelsWorkflowsRules
03
Decision Ontology

Goals, logic and decision history

Extract decision goals, reasoning logic, policies and outcome history from Slack, PDFs and AOPs. Decisions become institutional knowledge, not lost meeting notes.

GoalsPoliciesHistoryOutcomes
Built for reasoning, not just retrieval. The foundation that makes zero-hallucination AI possible and the reason DecisionX answers why, not just what.
Zero hallucination Why not what Causal AI
01

Data Ontology · Semantic Understanding

From raw data to meaning, automatically.

Agents extract what your data means, not just what it contains. Every metric, schema and business convention captured and structured automatically.

Metric inference Semantic enrichment Schema understanding Derived formulas
Semantic Understanding
02

A Causal State Graph for Enterprise

Data, Domain and Decision Ontology, unified.

DecisionX connects your data, domain and decision layers into a single graph, one that understands not just what is connected, but why things happen.

Causal edges State graph Decision memory Self-learning
Ontology Graph
03

Governed Enterprise AI, Human in the Loop

Built by Agents. Approved by Humans. Always.

Agents surface every conflict. Your team approves every resolution. Nothing changes the context layer without human sign-off.

Conflict resolution Human approval Governance Audit trail
Governed AI
Data Ops & Decision Memory

Autonomous Data Ops. Decisions That Compound.

DecisionX handles all data operations autonomously and turns every decision into reusable institutional knowledge that makes the next one sharper.

Metadata Agent
Schema Agent
Lineage Agent
Pipeline Agent
Semantic Join
Metadata Agent
Schema Agent
Lineage Agent
ETL Agent
Context Agent
Embedding Agent
Signal Agent
Inference Agent
ETL Agent
Context Agent
Embedding Agent
Metric Agent
Transform Agent
Semantic Layer
Governance Agent
Knowledge Agent
Metric Agent
Transform Agent
Semantic Layer
Data Ops Agents

Autonomous enterprise data operations.

25 agents handle all data plumbing autonomously: metadata, lineage, ETL and semantic joins.

Metadata extraction Schema inference Semantic joins Structured prep
Decision Object · Live Cycle
GoalIntent
ContextGrounding
ReasoningWhy
DecisionChoice
OutcomeResult
LearningUpdate
Every outcome updates the Causal State Graph
Decision Objects

Institutional intelligence that compounds over time.

Every decision tracked as an object. Goals, reasoning, outcomes, reusable institutional knowledge, not lost meeting notes.

Goal - Intent Reasoning - Why Decision - Choice Outcome - Result Learning - Update
Security & Governance

AI you can trust and defend.

Every decision DecisionX surfaces is explainable, traceable and auditable. Built from the ground up for enterprise governance, compliance and regulated environments.

Explainability
Every answer shows its working
Summarised, deep dive and trail. Every answer is grounded in your data.
Deep dive response screenshot
Traceability
Full trail on every response
Source files, reasoning chain, inferences and executed SQL, fully logged.
Audit trail screenshot
EVALs
Continuous evaluation
Accuracy and grounding measured continuously, with drift alerts built in.
97%Ontology
94%Query
Security & Compliance
Enterprise-grade, from day one
Built for regulated enterprise environments.
SOC 2, GDPR, ISO 27001 compliance logos
RBAC, IAM & SSO Public / private cloud Multi-LLM governance Full audit trail

Decision intelligence platform

Build the enterprise
context layer for
decision AI.

See how DecisionX turns enterprise data, ontology, reasoning and agents into a continuously learning decision system for strategy and analytics teams.