Problems that break standard databases.
We built Evokoa for engineering teams tackling structural reasoning problems at scale. Here's where it hits hardest.
Autonomous RevOps
Multi-location Enterprises, Sales OperationsMulti-silo sales pipelines mean revenue-critical signals get buried across disconnected systems. AI agents can't act on what they can't see.
Evokoa unifies the topological view across every location and system so agents can execute pipeline actions instantly. ROI: accelerated revenue capture.
Real-Time Fraud Detection
Financial Institutions, Payment GatewaysDetecting synthetic identity rings or multi-hop money laundering requires 8 to 40-hop cycle detection. Legacy databases choke on recursive joins or time out after 3 seconds.
Evokoa executes deep fraud checks fast enough to block transactions mid-swipe without killing checkout conversion. ROI: stops fraud in real-time.
Zero-Latency Agent Assist
Telecommunications, Contact CentersVoice AI agents need network and billing context delivered in milliseconds. If the agent waits 3 seconds for context, the conversation collapses.
Evokoa feeds structural context to AI voice agents in real-time, slashing call-center handle times. ROI: saving millions in operational costs.
Enterprise AI Agent Context
AI Engineering Teams, Autonomous AgentsStandard RAG pipelines rely on semantic vector search and miss structural context entirely. "Who reports to the manager that signed this contract?" is not a question embeddings can answer.
Evokoa gives AI agents the structural reasoning layer they need. When an AI swarm runs dozens of deep reasoning loops every second, legacy database latency is a fatal bottleneck. We make 24/7 agentic swarms viable.
Supply Chain Blast Radius
Global Logistics, ManufacturingWhen a supplier goes offline, calculating the full downstream blast radius involves cross-system dependency mapping. Verifying available ports or mapping bottlenecks takes hours with batch pipelines.
Evokoa maintains a live map of all supplier dependencies and calculates exact downstream impact instantly. No batch jobs. No stale data.
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Build on the reasoning layer.
Infrastructure for enterprise world models. Deploy in minutes, reason in microseconds.
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