Secure, serverless infrastructure delivering zero-trust WebAssembly compute, Governed Graph Memory, and token-saving data pointers (neonia://) for autonomous agentic systems.
Current cloud paradigms impose architectural bottlenecks that render autonomous agent execution slow, insecure, and prohibitively expensive.
Ephemeral execution in raw environments exposes sensitive enterprise databases to arbitrary untrusted code execution, prompt injections, and data leaks.
Flooding prompt context windows with raw system descriptions and redundant massive database records drains token budgets, driving up API bills exponentially.
Naive local storage and fragile RAG pipelines fail to persist cross-session state, causing agent amnesia and desynchronization across multi-agent swarms.
"Neonia is the Cloud Operating System for AI Agents."
Neonia provides a production-ready cloud infrastructure that decouples data processing from cognitive reasoning:
Isolated, ephemeral execution environments ensuring absolute mathematical certainty and data integrity during high-load processing cycles.
Drastically reduce cognitive payload by referencing massive operational datasets through deterministic, lightweight memory pointers. Reduces agent operational costs by 10x.
Free persistent memory for your agents powered by SurrealDB. Eliminates local JSON files and RAG amnesia across Swarms.
The llms.txt revolution, Google Lighthouse validation, and the infrastructure gap.
Standardized machine-readable context files are transforming web indexing. Neonia built the world's first Registry & Linter (registry.neonia.io) to aggregate this market.
Google's formal inclusion of AI-readability metrics establishes machine accessibility as a primary ranking signal, forcing immediate architectural adaptation.
Current CMS platforms lack native tools to expose structured semantic layers, creating a critical vulnerability for legacy tech stacks.
Deploy complex architectures instantly. The deployment payload is automatically compiled and pushed to edge nodes globally. Zero configuration drift.
Core computational tasks are executed via WebAssembly runtimes at the edge. Bypassing traditional layers, execution drops to near-native limits.
Every process executes exactly the same way, every time. Inputs are strictly validated against immutable schemas, eliminating race conditions.
A viral user acquisition funnel that routes free agentic traffic into paid WebAssembly compute runtime volume and SurrealDB data gravity.
(Viral PLG Flywheel)
(Usage-Based Monetisation)
(Paid Pilots & Custom Scale)
Establishing the core technical foundation: reliable edge infrastructure, token-saving protocols, and high-performance WebAssembly runtimes.
Deploying agents that dynamically compile and register custom schemas to expand backend features based on real-time AI agent tool requests.
Decentralizing computational discovery via structured semantic graphs, matching agents to resources based on BM25 accuracy and cost ratings.
>> LOADED COMPETENCY MATRIX: SYSTEMS
ARCHITECTURE,
KINEMATICS, AI INTEGRATION … OK
>> SYSTEM INITIALIZATION SEQUENCE
TERMINATED.
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This pre-seed round secures 9 months of aggressive execution. It funds our operations through Q1 2027 to hit the 50+ B2B target, establish the Discovery Registry, and reach Seed-readiness.
Establish high-velocity data gravity by routing agentic traffic, scaling infrastructure to handle millions of low-latency atomic tool executions.