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Representative Engagements

Intelligence systems
built for production

Selected engagements demonstrating our approach to correctness, safety, and operationalization in regulated and high-stakes environments.

Healthcare

Revenue Drift Diagnosis for Healthcare Provider Networks

Detect and explain hidden revenue leakage across hospitals and outpatient networks by combining intent-aware analytics, schema-grounded reasoning, and guarded execution.

Query IntelligenceData ReliabilityDecision Intelligence
Financial Services

Data Trust & Anomaly Protection for Regulated Financial Systems

Continuous trust controls across market data, reference feeds, and settlement pipelines to prevent silent data failures before financial or regulatory impact.

Data ReliabilityReal-time monitoring
Telecommunications

Explainability Platform for Network Operations & Customer Analytics

AI-driven churn prevention and network incident triage with transparent, defensible decision-making using causal explanation and historical analogues.

Decision IntelligenceExplainability

Our approach

Every engagement follows a systematic pattern: understand constraints, map semantics, deploy with guardrails, and operationalize for lasting impact.

01

Context & Constraints

Map decision flows, risk surfaces, and regulatory requirements before any implementation.

02

Guarded Deployment

Deploy with observability, trust scoring, and execution controls to ensure safety at scale.

03

Explainable Outcomes

Provide context-rich explanations with audit trails for regulatory and operational confidence.

Built for environments where correctness is non-negotiable

If your systems carry decision risk or regulatory constraints, we should talk. We prioritize selective, durable engagements.

Discuss Your EnvironmentEngagement Models

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∇xNabla-X

Applied intelligence for healthcare, finance, and research. Building AI that understands how complex systems move.

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