NEURALIS v4.2 — NOW LIVE

NEURALIS

The AI infrastructure platform that orchestrates LLMs, autonomous agents, and real-time inference at planetary scale. From prototype to production in minutes, not months.

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neuralis@cluster-7 — orchestration
➜ neuralis deploy --model llama-4-405b --replicas 12 --region global
[orchestrator] Resolving model weights from HUB...
[orchestrator] Allocating 48× H200 GPUs across 3 regions
✓ Model loaded — 405B params, 8-bit quant, 2.1s
[scheduler] Routing traffic: us-east: 40% · eu-west: 35% · ap-south: 25%
➜ neuralis agents start --task "competitive analysis" --team 8
✓ 8 autonomous agents spawned — research × 3 · analysis × 3 · synthesis × 2
✓ Agents coordinated via DAG scheduler — 0 conflicts
➜ neuralis status
● Uptime: 99.997% · Latency: 42ms p99 · Throughput: 1.2M tok/s
! 2 agent tasks queued (resource pool at 94%)
➜
NVIDIA H200 CLUSTER·1.2M TOKENS/SEC·99.997% UPTIME·48× GPU NODES·GLOBAL EDGE INFER·LLM ORCHESTRATION·AUTONOMOUS AGENTS·REAL-TIME STREAM· NVIDIA H200 CLUSTER·1.2M TOKENS/SEC·99.997% UPTIME·48× GPU NODES·GLOBAL EDGE INFER·LLM ORCHESTRATION·AUTONOMOUS AGENTS·REAL-TIME STREAM·
// platform

Built for the AI era

NEURALIS is a full-stack AI infrastructure layer. Deploy, orchestrate, and scale intelligent systems without managing a single GPU.

🧠

LLM Orchestration Engine

Route, load-balance, and cascade across 40+ foundation models. Automatic fallback, token budgeting, and cost optimization per request.

multi-model routing
🤖

Autonomous Agent Mesh

Spawn teams of specialized AI agents that collaborate via DAG scheduling. Research, code, analyze, synthesize — fully parallel, zero conflicts.

multi-agent coordination
⚡

Real-Time Inference

42ms p99 latency across 12 global edge regions. KV-cache optimization, speculative decoding, and dynamic batching built in.

edge inference
🔬

Model Evaluation Lab

Benchmark 100+ models against your own data. A/B test prompts, measure hallucination rates, track quality drift over time.

eval harness
🛡️

Safety & Compliance

Content filtering, PII redaction, jailbreak detection, and full audit trails. SOC 2 Type II, GDPR, HIPAA-ready out of the box.

enterprise security
📡

Knowledge Streams

Live RAG pipelines that ingest docs, APIs, and data lakes in real-time. Vector search at 10M+ chunks with sub-10ms recall.

live RAG
// pipeline

From idea to production in 5 steps

Our orchestration pipeline handles the full lifecycle — from model selection to global deployment.

01

Define

Describe your task in natural language or YAML

02

Orchestrate

Auto-select models, allocate GPU pool

03

Deploy

Roll out to 12 regions with zero downtime

04

Monitor

Real-time metrics, drift detection, alerts

05

Scale

Auto-scale from 1 to 48+ GPU nodes

1.2M
tokens/sec throughput
42ms
p99 global latency
99.997%
uptime SLA
48
H200 GPU nodes
STRIPE
VERCEL
LINEAR
NOTION
FIGMA
RAILWAY
SUPABASE
// pricing

Simple, transparent pricing

Start free. Scale when you're ready. No hidden costs, no GPU management fees.

Starter
$0/mo

For prototyping and side projects. Enough to build and test your first AI pipeline.

  • 100K tokens / month
  • 3 agent slots
  • 1 model (GPT-4o-mini)
  • Community support
  • 1 edge region
Start Free
Enterprise
Custom

For organizations running AI at planetary scale. Dedicated clusters, custom models, SLA guarantees.

  • Unlimited tokens
  • Unlimited agents
  • Dedicated H200 cluster
  • 12 global regions
  • Custom model fine-tuning
  • 24/7 dedicated support
  • SLA: 99.999%
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