ParkourSC
AI-native supply-chain decision intelligence with agents that execute decisions with full auditability.
ParkourSC is an AI-native decision-intelligence platform for global supply chains, built around the loop of sense, decide, and act. Instead of another reactive dashboard, it aims to turn complex, real-time supply-chain data into autonomous decisions and interventions.
At its core is a graph-based digital twin: a contextual knowledge graph that continuously models the supply-chain network end-to-end, paired with an intelligence orchestration engine that combines optimization models, machine learning, and configurable decision rules. Together they convert real-time signals into precise predictions, recommendations, and interventions across demand planning, supply orchestration, inventory optimization, cold-chain management, and clinical-trial logistics.
Automated AI agents and reusable recipes execute those decisions with full auditability, continuously scanning for disruptions, recommending the optimal response, and triggering workflows under human governance. The digital twin can also be shared across an organization's supply-chain partners, with each participant seeing only the information relevant to their role.
Led by CEO Mahesh Veerina, ParkourSC is deployed at Fortune 500 scale with customers including AdventHealth, Thermo Fisher Scientific, Organon, and GE Appliances, and reports outcomes such as 20 percent waste reduction and multiples of documented ROI. It is strongest in pharmaceutical and cold-chain settings but extends to food and beverage, retail, and industrial sectors, and goes to market with a partner network and a sales-led model.
Vendor details
Canonical URL
https://www.parkoursc.com
Category
Enterprise operations agent
Company status
independent
Use cases & customers
In practice
A cold-chain shipment drifts out of range and you learn about it after the product is spoiled. ParkourSC's agents continuously scan for disruptions, recommend the response, and trigger the workflow before the loss lands.
Your supply-chain data sits in a dozen systems with no shared picture. ParkourSC builds a graph-based digital twin that models the network end to end, so signals turn into predictions and interventions.
Your partners each need part of the picture but not all of it. ParkourSC shares the digital twin across the network, with each participant seeing only the information relevant to their role.
Agentic Index coverage score
5.5 / 14 capabilities · 39%
| Integrations & Tool CallingParkourSC ingests real time internal operational data and external data and feeds orchestration steps into existing platform solutions, broad data integration within the supply chain domain, so partial. | Partial |
|---|---|
| Workflow OrchestrationParkourSC runs an intelligence orchestration engine where automated agents and recipes execute supply chain decisions autonomously, sensing, deciding, and acting end to end, a genuine autonomous workflow. | Full |
| Knowledge Grounding & RAGParkourSC grounds decisions in a contextual knowledge graph that continuously models an end to end digital twin of the supply chain, strong graph grounding without citation tracked retrieval, so partial. | Partial |
| Human Oversight & GuardrailsParkourSC executes decisions within configurable decision rules that human planners define, bounded autonomy under human set rules, so partial. | Partial |
| Security, Identity & GovernanceParkourSC runs a pharma validated platform trusted for clinical trial and cold chain logistics at Fortune 500 scale, a regulated industry qualification though the full certification and access matrix is not documented, so partial. | Partial |
| Observability & AuditabilityParkourSC automated agents and recipes execute decisions with full auditability, comprehensive agent decision auditability, so full. | Full |
| Memory & State PersistenceParkourSC maintains a knowledge graph digital twin but documents no dedicated persistent cross session agent memory product, so not documented as first class. | Unable to verify |
| Deployment & Data ResidencyParkourSC is built on a cloud native architecture with no self host or data residency option documented, so not documented as first class. | Unable to verify |
| Prebuilt Agents, Templates & PacksParkourSC ships reusable recipes alongside automated agents across demand planning, inventory, and cold chain rather than a browsable marketplace of cloneable agents, so partial. | Partial |
| Triggers & Channel CoverageParkourSC uses event driven orchestration to sense disruptions in real time and turn signals into interventions, strong real time triggers within the supply chain channel, so partial. | Partial |
| Model Flexibility & RoutingParkourSC runs its own optimization and machine learning models with no user facing model routing or selection documented, so not documented as first class. | Unable to verify |
| APIs, SDKs & MCP ExtensibilityParkourSC documents no public developer application programming interface, software development kit, or Model Context Protocol server, so not documented as first class. | Unable to verify |
| Testing, Debugging & OptimizationParkourSC lets planners model and simulate operations to forecast and identify risks and learns from outcomes, an optimization and evaluation loop, so partial. | Partial |
| Browser & Computer UseParkourSC acts on supply chain data and systems with no general browser or computer use capability, so not documented as first class. | Unable to verify |
The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Enterprise pricing. Book a demo.
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Alternatives to ParkourSC
The closest documented capability profiles to ParkourSC among enterprise operations agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- HackerEarth5.5 / 14Matches ParkourSC across all 14 documented capabilities
- Nominal5.5 / 14Matches ParkourSC across all 14 documented capabilities
- GoodTime5.0 / 14A lighter documented profile than ParkourSC
- Nexus Industrial6.0 / 14Adds documented Deployment & Data Residency
- Rivio6.0 / 14Adds documented APIs, SDKs & MCP Extensibility
- Tabs6.0 / 14Adds documented APIs, SDKs & MCP Extensibility
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded