Critical decisions in mining, banking, and infrastructure — with evidence, simulation, agents, guardrails, and auditability.
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The Decision & Assurance Intelligence Platform
connects operational data, evidence, simulation, and agents with verifiable decisions in production. Not an ML notebook or a BI dashboard — the platform that assures real, traceable, and auditable decisions at industrial scale.
Our clients deploy where differentiated performance and reliability are absolutely essential — mining, banking, critical infrastructure.
Observe. Understand. Decide. Act.
is built on the OUDA framework — the decision cycle that transforms complex business challenges into measurable outcomes, decision by decision.
Observe
connects your operational data and AI models to create a coherent view of end-to-end performance. Operators observe what is happening across the entire system and why, with full traceability of every decision.
Why ?
Not an ML notebook
Notebooks are for exploration. is for production: real decisions, in real time, with full traceability of every agent action.
Not a BI dashboard
Dashboards show the past. operates the present: executable guardrails, AI agents, and active decision logs in production.
The decision assurance layer
turns critical questions into real, traceable, and auditable decisions at industrial scale.
Four capabilities. One Decision Case.
Intelligence
Models critical decisions as Decision Cases: evidence, scenarios, recommendations, approvals, auditability, and outcome signals in one product surface.
- Auditable Decision Cases
- Scenarios and trade-offs
- Approval paths
- Evidence per decision
- Outcome learning
Assurance
Continuous assurance for models and agents: regression checks, slice analysis, drift detection, and alerts when the system silently degrades in production.
- Automated regression tests
- Per-segment slice analysis
- Data drift detection
- Model degradation alerts
- A/B and champion-challenger
Evidence
Governed evidence pipelines with quality validation, complete lineage, and quality gates. Evidence is validated, not assumed.
- Automated quality validation
- Complete data lineage
- Configurable quality gates
- ERP, SCADA, CRM integration
- Data anomaly detection
Memory
Decision and outcome memory: what was recommended, what was approved, what happened afterward, and what learning carries into the next Decision Case.
- Outcome tracking
- Decision replay
- Operational learning
- Derived playbooks
- Reusable auditability
Designed for critical decisions
- SAG mill optimization in real time
- Critical equipment failure prediction 72h ahead
- Automatic flotation parameter adjustment
- Operational decision traceability per shift
From zero to production in 30 days
Diagnosis & data connection
Critical decision mapping. Connection to operational data sources. Identification of first decision to instrument.
Assurance & guardrails in staging
configured. Executable guardrails active. Audit trail instrumented. Regression tests operational.
Production with supervision
Production deployment with human-in-the-loop. Active monitoring. Threshold tuning. Validated confidence metrics.
Ready to operate AI
with real traceability?
Discover how can transform your critical AI decisions in production with guardrails, continuous evaluation, and auditable decision logs.
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Book an xStryk review
30 minutes to review a Decision Case, available signals, success criteria, and product activation path.