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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/NeoCognition
NeoCognition

NeoCognition

Founded by Yu Su in 2024

Deploy specialized autonomous agents that learn complex workplace environments through continuous adaptation

Pricing model

Demo

Rating

★ Mixed Reviews

Time to value

Requires Expertise

You can use NeoCognition to build and deploy specialized artificial intelligence agents tailored to complex workplace workflows. Rather than relying on generic models, the system develops world models that capture operational rules, constraints, and structural relationships within specific domains. You can benchmark agent performance in authentic job settings using continuous learning evaluations, refine automated reasoning, and deploy focused agents that operate with domain expertise across diverse enterprise software environments and industry-specific tasks.

What NeoCognition does

Benchmark agent continual learning in realistic job simulationsMap operational constraints and affordances within target workflowsTrain specialized domain agents for micro-world environmentsEvaluate agent reasoning and judgment on complex workplace tasksAssess performance against ApprenticeBench standardsDeploy autonomous agents into structured enterprise software systemsWorld model construction for structural operational environmentsContinual learning benchmark evaluations using ApprenticeBenchDomain-specific agent specialization for distinct professionsConstraint and affordance mapping for complex workflowsExpertise acquisition modeling based on apprentice-style learningReliable autonomous judgment across multi-step business actions

Pricing breakdown

Pricing model: Book a demo

Tutorials & Demos

Frequently asked

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NeoCognition, AI agents, specialized intelligence, continual learning, ApprenticeBench, world models, autonomous agents, enterprise AI