Know before
it breaks
Volnit quantifies operational risk for factories, warehouses, and service operations. Model your process, stress-test it against thousands of disruption scenarios, and know exactly where your vulnerabilities are - with statistical confidence. An AI copilot helps you build models and interpret risk - no simulation expertise required.
SPOF
Vulnerability detection
95%
Confidence intervals
1000s
Scenarios in seconds
AI
Risk interpretation
See it in action
From words to risk assessment
No simulation expertise required. Describe your operation, the AI builds the model and interprets the risk.
AI generates a validated JSON model ready to run
QA_Inspector is a single point of failure.
At 94% utilization, any disruption cascades immediately. A 2-hour breakdown drops throughput by 100%. Adding a second inspector eliminates the SPOF and reduces recovery time from 47 minutes to under 5.
AI identifies vulnerabilities and recommends mitigations
The AI copilot works through the Python SDK and REST API. The engine quantifies the risk - the AI makes it actionable.
How it works
From operation to risk assessment in four steps.
Map your operation
Describe your operation as a flow of stations, queues, and resources. Use our visual editor, JSON schema, or let the AI build it from a plain-English description.
Stress-test for vulnerabilities
Run SPOF analysis and disruption scenarios automatically. The engine tests thousands of failure combinations with statistical rigor - confidence intervals, warmup detection, and variance reduction.
Quantify risk exposure
See exactly which failures hurt most, how long recovery takes, and which mitigations are most effective. Optimize for resilience within your constraints.
Act with confidence
Present stakeholders with a risk assessment backed by data, not gut feel. Show the cost of each vulnerability and the ROI of each mitigation.
See what an outage would actually cost
Run a small operation in your browser, then knock a machine out and watch the impact - the way a resilience assessment does. Same deterministic engine we use in your pilot, validated against known analytical answers so the numbers hold up, not just look plausible.
Orders are shared across two identical stations, then ship. There is a backup.
Press Run it to simulate this operation, then knock a node out.
Everything you need to quantify operational risk
From single-point-of-failure detection to full disruption scenario analysis with statistical confidence.
Disruption Scenario Testing
Define what-if disruptions - machine failures, supplier delays, staffing shortages - and quantify the exact throughput and cost impact of each.
Single Point of Failure Analysis
Automatically test every critical node in your operation. Rank vulnerabilities by impact severity and identify the failures that would hurt you most.
AI Risk Interpreter
After an assessment, the AI explains your risk exposure in plain language. It identifies vulnerabilities, analyzes cascade effects, and recommends mitigations.
AI Model Builder
Describe your operation in plain English. The AI copilot generates a validated operational model - no manual configuration needed.
Statistical Risk Quantification
Every risk metric comes with confidence intervals from thousands of replications. Know the probability of disruption impact, not just the average.
Automatic Optimization
Define your resilience objectives and constraints. Built-in algorithms search for the most robust configuration automatically.
Real Schedules and Failures
Model shift patterns, breaks, holidays, and stochastic machine breakdowns. Assess risk under realistic operating conditions, not idealized ones.
Model Any Operation
Production lines, warehouses, hospitals, call centers. 13 configurable building blocks cover machines, queues, conveyors, AGVs, and more.
Browser-Based, No Install
Build and analyze your operation from any modern browser - nothing to install. The interactive workspace runs your assessments on a cloud engine and streams results back live.
Cloud API for Teams
Submit risk assessments via REST API. Real-time progress streaming. Multi-tenant with per-team isolation and access control.
Parameter Sensitivity Sweeps
Sweep across machine speeds, buffer sizes, or staffing levels. Identify which parameters your operation is most sensitive to.
Recovery Time Estimation
Measure how long your operation takes to return to normal after a disruption. Quantify RTO for every failure scenario.
Deterministic Reproducibility
Same inputs always produce identical risk assessments. Integer-precision time. No floating-point drift across platforms. Audit-ready results.
Enterprise Ready
Deploy on your own infrastructure or use our hosted service. Role-based horizontal scaling. ISO 22301-aligned risk reporting.
Operational risk intelligence across industries
Any operation with flow, queues, and processing - we quantify its risk.
Manufacturing
Identify single points of failure across your production line. Quantify the cost of each machine breakdown, validate equipment investments against disruption risk, and prove resilience to auditors.
Logistics & Warehousing
Stress-test sorting systems, AGV fleets, and conveyor networks against peak-season surges and equipment failures. Know which failures cascade before they happen.
Healthcare
Assess patient flow resilience through EDs, labs, and clinics. Quantify staffing risk under surge scenarios and identify capacity bottlenecks before they affect care.
Service Operations
Call centers, checkout lanes, airport security. Measure how arrival spikes, staffing gaps, and system failures impact service levels with statistical confidence.
See where your operation breaks before it does
Run a resilience pilot: we model your operation from the data you already have, stress-test it, and hand you an assessment you can act on. No simulation expertise required.