CausalX: A Decision Intelligence Platform by Celebal Technologies (CT)
Celebal Technologies Private Limited · Intelligence & Research
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
Every critical decision begins with one question, why
did this happen? CausalX, developed by Celebal Technologies (CT), answers
Show the rest of the publisher’s description (57 more lines)
this with certainty by introducing deterministic root cause intelligence into
enterprise decision making. Powered by Microsoft Fabric and Azure AI
Foundry, the platform brings together three core components: a unified
Data Catalog that consolidates enterprise data, a domain specific Agent Pool
that executes structured reasoning, and an Ontology Layer that defines
relationships across operations, assets, and financial outcomes.
By combining these components, CausalX establishes true
cause-and-effect relationships across enterprise systems. It traces KPI
movements, identifies root causes, validates findings with underlying data, and
quantifies financial and operational impact before action is taken. Within
seconds, enterprises receive complete, explainable outputs including causal
pathways, contributing factors, confidence scores, recommended actions with
risk context, and a full governance trail. AI supports explanation and action
guidance, while root cause determination remains deterministic, ensuring every
decision is transparent, auditable, and ready for executive and regulatory
scrutiny.
How It Works
CausalX executes a structured causal workflow across enterprise systems:
- Natural Language Query: Users ask targeted questions (e.g., outage causes, revenue leakage).
- Data Access via Microsoft Fabric: Relevant operational and financial datasets are accessed from OneLake.
- Ontology-Based Context Definition: Relationships across assets, processes, and financial metrics are defined.
- Agent Orchestration via Azure AI Foundry: Domain-specific agents are activated & coordinated to evaluate the problem.
- Causal Pathway Execution: Agents follow predefined business semantic and logic to determine root cause and contributing factors.
- Structured Output: Results include root cause, causal chain, supporting evidence, confidence scores, recommended actions, and a governance trail.
Industry Use Cases
Oil & Gas
Upstream
- Production Output vs. Forecast Gap
- Well Equipment Failure Detection
Midstream
- Delivery Delay Root Cause
- Storage Underperformance Analysis
Downstream
- Refinery Yield Shortfall Detection
- Fuel Margin Erosion Root Cause
Power & Utilities
Generation
- Unplanned Maintenance Cost Spike
- Emissions Limit Breach Detection
Transmission
- Grid Instability at Peak Load
- Substation Overload Detection
Distribution & Metering
- Billing Error Root Cause
- Customer Complaint Spike Analysis
Other Industries
Manufacturing
- Production variance root cause
- Supply chain disruption impact
Retail & CPG
- Demand-supply imbalance analysis
- Pricing impact evaluation
Banking & Financial Services
- Transaction anomaly causation
- Credit risk driver analysis
Get Started
Request a Demo to experience root cause intelligence in action.
Preview
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Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
3 linksLinked repositories
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Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.