CONFIDIOS CONTEXT ENGINE
Make data usable for AI, where it already sits
Confidios turns unstructured data into verified, business-contextualised records your agents and models can work from, without moving the underlying data.
Everything runs inside your own boundary.
Runs where your data is
Context shaped for the business question
Priced on capacity
On-premises, private cloud or air-gapped. Deploy as an appliance or on your own GPU infrastructure.
Context Modules apply the business logic relevant to the decision, not just generic extraction or tagging.
Capacity or CPU, not tokens consumed or tags stored. Predictable costs tied to the infrastructure you operate.
START TO FINISH
From data to verified AI context
Six stages. Every one of them inside your perimeter.
THE SIDECAR
A verified context layer alongside your data
For each source file, Confidios creates a structured context record containing the business context, provenance, integrity findings and model-ready representations your AI workflows need.
Enriched
The record captures the information, relationships and business signals that matter to the use case, not simply what can be extracted from the file.
Verified
Files are assessed for alteration, inconsistency and other integrity risks. Findings include their reasoning, with explicit flags where human review is needed.
Bound
Every generated artefact is cryptographically bound to its source file, so downstream outputs can be traced back to the data they came from, including its state and provenance.
Prepared once at ingestion. Your agents read the record. The file stays where it is.
Claims Intelligence
Understand what the evidence says about the claim.
Extract and connect the information that matters to claims assessment, identify inconsistencies and relevant relationships, and apply verification logic to distinguish evidence from uncertainty.
Give the engine a reason to understand the data
The same source data can support different decisions. Context Modules apply the relevant business logic without changing the underlying data.
CONTEXT MODULES
A Context Module applies the business logic for a specific AI use case: what matters, what to extract, which relationships to identify, what to verify and what to flag for review.
The result is context shaped for the decision, rather than generic enrichment applied to every file.
Contract Intelligence
Understand what the contract means for the business.
Extract obligations, rights, parties, dates, dependencies and other material terms; connect them to the relevant business context and surface what matters for the decision at hand.
BUILT FOR REGULATED ENTERPRISE
Fits your environment, works with what you have
SOVEREIGNTY
Your infrastructure, your jurisdiction
On-premises, private cloud or air-gapped. Ingestion, metadata generation, chunking and forensic analysis all run inside your operational and legal boundary.
INTEGRATION
Fits the systems you already run
Available through API or containerised deployment, designed to fit into existing applications, workflows and data environments.
GOVERNANCE
Governance stays with the data
Sensitivity, entitlement and other governance signals are captured alongside the data and remain available to downstream AI workflows.
COMMERCIAL
Capacity or CPU, not consumption
Predictable pricing based on processing capacity or CPU, so costs remain aligned with the infrastructure you operate rather than the volume of AI activity.
ADOPTION
Start with one workflow
Deploy into a controlled environment, solve one high-value workflow, then add Context Modules as you expand.
DOMAIN EXPERTISE
Financial services and real estate
Applications across insurance, banking, investment and asset management, claims and underwriting, and property and lease records.
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