Now in production

The complete
AI application
backend.

RAG pipelines, agents, workflows, Composable Intelligence,
auth, and monitoring — one API. Edge-native. Starting free.

Ship AI apps. Not infrastructure.

OpenAI-compatible · No cloud account, no IAM, one API key · Works with Vercel AI SDK, LangChain, any HTTP client

neureus.ts
// Compose multiple models with one call
const result = await fetch('https://app.neureus.ai/composite/execute', {
  method: 'POST',
  headers: { Authorization: `Bearer ${apiKey}` },
  body: JSON.stringify({
    pattern: 'parallel-specialists',
    profile:  'legal',
    input:    'Analyze this contract clause...',
    models:  ['claude-opus-4', 'gpt-4o', 'llama-3.3-70b'],
  }),
});

// → consensus from 3 legal-specialist models
// → PHI/PII compliance guard applied automatically
// → <80ms from 300+ global edge locations
<80ms
Global p95 latency
300+
Edge locations
7
Composition patterns
10+
AI capabilities

Primitives are not a backend.
You shouldn't have to build both.

Whether you're assembling Cloudflare primitives or stitching together OpenRouter, Pinecone, and LangChain — you're still the integrator. Neureus is the alternative.

The DIY approach
OpenRouter AI routing
Pinecone Vector database
LangChain Orchestration
Datadog Observability
Auth0 Auth
5+ services · $715+/mo · months to wire
With Neureus AI
Neureus AI
AI Gateway · RAG · Agents · Workflows · Auth · Monitoring · MCP
1 API · starts free · minutes to first request
Save $566/mo vs. equivalent stack
Every tenant gets their own isolated gateway and RAG index — logs, costs, queries, and guardrails never cross boundaries. CF uses metadata filters on shared instances. That's not isolation.

Mix models. Compose patterns.
Get better answers.

No single model is best at everything. Neureus lets you compose multiple models in coordinated patterns — so your app always uses the right model for each step.

01 Generate + Verify Draft then critique for higher-quality output
02 Parallel Specialists Multiple domain experts answer simultaneously
03 Consensus Aggregate answers across models for reliability
04 Chain Sequential pipeline with context passing
05 Cascade Escalate to more capable models only when needed
06 Hierarchical Orchestrator delegates to specialist subagents
07 Fan-out / Fan-in Split work, process in parallel, recombine
Industry profiles
HealthcareLegalFinancialCodingContentSupport

Each profile includes domain-specific system prompts and PHI/PII compliance guards — no fine-tuning required.

Everything your AI app needs.
Built in.

AI Gateway
Route any LLM call — Anthropic, OpenAI, Groq, Mistral, Google, Cohere, and open-source models (DeepSeek, Llama, Qwen). Semantic caching, spend caps, PII guardrails, and fallback routing — per-tenant, predictable pricing.
Composite Intelligence
Seven multi-model patterns across six industry profiles. Parallel specialists, consensus, cascade, chain — all with one API call, PHI/PII guards included.
RAG Pipeline
Ingest documents, query semantically. Auto re-indexed on update. Each tenant gets their own isolated index — not metadata filters on a shared instance.
Vector DB
Embeddings generated automatically — no separate inference call. Query by similarity, filter by metadata, tenant-scoped. Bundled pricing, zero per-dimension metering.
Agent Framework
Autonomous AI that decides how to complete a task. Give it tools and a goal — it runs a ReAct loop and figures out the steps itself.
Agentic Memory
Every agent has its own persistent memory store. Conversation history, learned preferences, and past decisions are recalled automatically — no wiring required.
AI Workflows
Proactive pipelines that run on a schedule, respond to webhooks, or trigger from email. Backed by Durable Objects — no function timeout limits, no dropped state mid-workflow.
Comms
Agents that reach out, not just respond. Send templated emails, trigger notifications, and handle bulk messaging — all from within a workflow or agent run.
MCP Server
Every feature — RAG, agents, workflows, Composite Intelligence — instantly available as MCP tools. Any agent or AI framework can call them with zero extra wiring.
AI Observability
Token usage, latency, error rates, cost, and agent traces — per tenant, live. AI-powered forecasting and anomaly detection on your own usage data.

Built on Cloudflare.
Global by default.

Neureus runs on Cloudflare Workers across 300+ edge locations worldwide. Every request is processed at the closest PoP. No cold starts, no container management.

<80ms
Global p95 latency
300+
Edge locations
99.99%
Uptime SLA
0
Cold starts

Start building with
Composable Intelligence.

Free tier includes 5M AI tokens, RAG, agents, workflows, and all 7 composition patterns. No credit card required.