AI Capability
Complete Capabilities for Building Enterprise AI Systems
A truly operational enterprise AI system requires more than a large language model. It also needs data recognition, knowledge management, workflows, tool invocation, system integration, security governance and human review. EvoCore combines these capabilities into an AI architecture suited for real enterprise use.
Layer 1: Data & Content Understanding
OCRDocument layout analysisTable recognitionImage understandingAudio transcriptionVideo analysisWeb information extractionStructured data readingMultilingual content processing
Layer 2: Knowledge & Retrieval
Enterprise knowledge baseRAGHybrid retrievalVector databaseKeyword searchKnowledge graphDocument permissionsSource citationKnowledge version managementContinuous data updates
Layer 3: Model & Reasoning
Multi-model integrationModel routingTask classificationPrompt managementStructured outputRule & model combinationMulti-step reasoningCost controlModel performance evaluation
Layer 4: Agent & Skills
Enterprise AgentIndustry AgentWorkflow AgentTool invocationAPI callsMulti-Agent collaborationEnterprise-specific SkillsIndustry-specific SkillsTask status managementException task routing
Layer 5: Workflow & System Integration
Enterprise approval processesHuman-in-the-LoopERP integrationCRM integrationFinance system integrationWhatsApp integrationEmail integrationGoogle Workspace integrationWebsite & App integrationDatabase integration
Layer 6: Security & Governance
Identity authenticationRole-based access controlData isolationSensitive data maskingCall loggingResult trackingSource evidenceHuman reviewModel output constraintsPrivate deploymentBackup & recoveryCompliance policies
OpenAIClaudeQwenDeepSeekLlamaOther open-source or industry models
Models are only the foundation. Enterprise data, business processes, industry rules and continuous operations are what make AI truly generate value.
