Intelligence infrastructure for AI-native systems.
Neo Intelligence for Data, Execution & Memory.
Transforms data into memory, context, and execution infrastructure for intelligent applications and autonomous AI systems.
AI systems need more than models.
Large language models can reason, generate, and interact — but production AI systems still struggle with persistent memory, reliable execution, structured context, and multimodal knowledge.
The next generation of AI will require infrastructure that connects data, memory, and action.
nidem connects data, memory, and execution.
nidem is building infrastructure for AI systems that need to understand information over time, retrieve the right context, and execute workflows reliably.
It is designed for teams building AI-native applications, agents, research systems, and intelligent data platforms.
Data. Execution. Memory.
Data
Transform structured, unstructured, and multimodal data into AI-ready knowledge.
- Semantic indexing
- Metadata extraction
- Multimodal pipelines
- Retrieval-ready storage
Execution
Give AI systems the ability to move from reasoning to reliable action.
- Agent workflows
- Task orchestration
- Tool execution
- Stateful automation
Memory
Build persistent context that AI systems can retrieve, update, and reason over.
- Long-term memory
- Context graphs
- Vector retrieval
- Knowledge continuity
Built for the next wave of intelligent applications.
AI-native data infrastructure
Build intelligent systems that understand and operate on enterprise data.
Agent memory systems
Give AI agents persistent context, recall, and state across workflows.
Multimodal knowledge platforms
Turn documents, video, audio, and structured records into searchable intelligence.
Professional AI applications
Power domain-specific AI products for finance, research, writing, and operations.
A systems-first approach to AI.
nidem is built from a data systems perspective. We believe the future of AI depends on better infrastructure for context, retrieval, memory, and execution — not just larger models.
Built from a data systems perspective.
nidem is founded on the belief that AI infrastructure is becoming a data systems problem. As models become more capable, the bottleneck shifts to memory, context, retrieval, and execution.
nidem exists to build that missing layer.
Build with persistent intelligence.
nidem is exploring the infrastructure layer for AI-native systems. Join the early list for updates, experiments, and product previews.