Seven deeply integrated layers — from runtime to marketplace — so your agents can reason, connect, remember, create data, learn, and earn.
Each layer is powerful alone. Together, they form the most complete agent platform available.
Layer 1
Think, plan, act, verify, repeat
ReAct engine that reasons, plans, executes, and iterates up to 50 times until the goal is achieved. Powered by 100+ LLMs from 9 providers.
Layer 2
Every API, one protocol
Dual-tier architecture: MCPX native handlers for critical services at sub-100ms, Runtime sandbox for 200+ others. Services auto-promote based on usage.
Layer 3
Agents that remember everything
Per-job memory buckets with vector embeddings. Hybrid RAG search combines dense similarity with keyword matching for maximum recall.
Layer 4
Customize through conversation
Chat-driven IDE to customize agent pipelines. Edit system prompts, tool configs, and workflows through natural language — no code required.
Peer-reviewed papers, patents, and academic publications across every discipline — medicine, law, engineering, physics, biology, and beyond. Research-grade data at scale.
290M+
Scholarly Works
All
Disciplines
Layer 5
290M+ scholarly works at your fingertips
9 specialized agents collaborate to create research-grade datasets. Tap into 290 million+ scholarly works, scrape the web, or synthesize from LLM reasoning — with automatic fact-checking across every sample.
Layer 6
Your model, your data, your edge
One-click fine-tuning on 33+ open-source models using datasets from the Factory. LoRA or full fine-tuning with automatic evaluation. Your custom model in hours.
Layer 7
Build, publish, earn
Publish and monetize agents, datasets, knowledge bases, and fine-tuned models. Deploy community-built assets in one click. 80% revenue share for creators.
Three innovations that set Neura apart from every other AI platform.
Every failure makes future agents smarter. Mistakes are recorded with trigger patterns and corrections. At 80%+ confidence, learnings become permanent rules — shared across all your agents.
Unlimited
Error patterns tracked
80%
Auto-promotion threshold
MCPX native handlers for critical services deliver sub-100ms latency. Runtime sandbox handles 200+ others with dynamic code generation. High-usage sandbox services are automatically promoted to native.
<100ms
Native handler latency
200+
Sandbox services
Agents don't stop after one tool call. They loop through UNDERSTAND, PLAN, EXECUTE, VERIFY, and CHECK GOAL until the deliverable is complete — up to 50 iterations with automatic self-correction.
50
Max iterations per run
Every step
Built-in verification
Hash-linked operation log for every action
Spawn isolated workers for concurrent tasks
Per-operation cost breakdown with credit deduction
Learnings propagate across all agents automatically
| Capability | Neura | ChatGPT | LangChain | Zapier AI |
|---|---|---|---|---|
| Multi-step iteration | — | Partial | — | |
| Self-learning from errors | — | — | — | |
| 200+ API connections | — | Partial | ||
| Persistent memory (RAG) | Partial | Partial | — | |
| Dataset creation lab (290M+ papers) | — | — | — | |
| Fine-tuning pipeline | — | — | — | |
| Visual agent IDE | — | — | — | |
| Agent & dataset marketplace | GPT Store | — | — | |
| No code required | — |
Start free. No credit card required. Upgrade when you need more.