★ Introducing Aether 4.0 · Global Inference Mesh

Powering intelligent infrastructure for the next generation.

Aether unifies AI, cloud, analytics, IoT and automation into a single real‑time fabric — so your teams ship intelligence at planetary scale without orchestrating ten different vendors.

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UPTIME99.999%
REGIONS42 worldwide
LATENCY< 18ms p99
SOC 2Type II certified
us‑east‑014.2k req/s · 12ms
eu‑central‑033.1k req/s · 9ms
ap‑south‑022.7k req/s · 14ms
NETWORKAETHER MESH
NODES ACTIVE1,284
SYNC● REAL‑TIME
Trusted by teams building the future
Nimbus
Helix Labs
Orbital
Quanta
Pulse.io
Stratos
The Platform

One control plane for every intelligent surface you build.

Aether replaces the messy stack of model gateways, message brokers, edge runtimes and observability silos with a single coherent fabric. Ship in days, not quarters.

Global Inference Mesh

Route every prompt to the closest healthy model replica with sub‑20ms p99 latency. Automatic failover, regional pinning and quota smoothing built in.

Composable Data Fabric

Stream events from IoT, warehouses and SaaS into a typed graph. Query in SQL, GraphQL or natural language — Aether keeps semantics consistent everywhere.

SRC kafka://events.production.iot 2.4M/s
JOIN warehouse.users ON device_id 98ms
SINK graph://aether.semantics backfill

Zero‑Trust Runtime

Every workload runs in a hardware‑isolated enclave with mTLS, signed manifests and ephemeral secrets. Audit‑grade by default.

Real‑Time Analytics

Sub‑second queries against trillions of events. Predictive baselines, anomaly scoring and auto‑forecasting come standard — no warehouse setup.

Agent Orchestration

Define multi‑agent workflows declaratively. Aether handles retries, branching, tool calls and human review across thousands of concurrent runs.

Mission Control

See your entire infrastructure breathe in real time.

One pane of glass for inference, data flow, agents and edge nodes — across every cloud and region.

aether.cloud / console / overview
live
/ workspace / overview

Real‑time platform overview

Inference QPS
128,402
▲ 4.2% · 24h
p99 latency
17.4ms
▼ 1.1ms · 24h
Active agents
2,184
▲ 312 · 24h
Error budget
99.992%
▼ 0.003%
Inference traffic — last 24h
By region · requests / second
us‑east eu‑central ap‑south
00:0006:0012:0018:0024:00
Compute distribution
By workload
2.1M vCPU‑hr
Inference48%
Data flows28%
Agents16%
Idle8%
Region Requests / s p99 latency Models Status
us‑east‑01 · Virginia 42,184 12.1 ms 18 healthy
eu‑central‑03 · Frankfurt 31,402 9.7 ms 14 healthy
ap‑south‑02 · Singapore 27,610 14.2 ms 12 scaling
sa‑east‑01 · São Paulo 18,206 19.5 ms 9 healthy
12B+
Inference requests served every month.
42
Regions across six continents, fully meshed.
99.999%
Multi‑region availability SLA, contractual.
3.4x
Average reduction in cloud spend after migration.
Integrations

Plug into the stack you already trust.

Aether speaks fluently to the cloud providers, data warehouses, model gardens and observability platforms your team already runs.

  • Native connectors for AWS, GCP, Azure and on‑prem Kubernetes.
  • Snowflake, BigQuery, Databricks and Postgres — bidirectional sync.
  • Every major model provider, plus your own private weights.
  • OpenTelemetry, Datadog, PagerDuty and Slack out of the box.
Customer Stories

Engineering teams shipping faster, with less stack.

“We collapsed four orchestration services into one Aether pipeline and shaved 38% off our cloud bill in a single quarter. The platform feels almost invisible — it just routes intelligence where we need it.”

MR
Mariana Rojas
VP Platform · Nimbus

“The inference mesh is the closest thing we've seen to a planetary load balancer for AI. We onboarded three production agents in a weekend; observability and audit logs were already wired in.”

DK
Daniel Kuroda
Chief Architect · Helix Labs

“Aether finally gave our data and ML teams a single substrate. No more arguing about brokers, warehouses or model gateways — the fabric handles it all and the dashboards are genuinely beautiful.”

PA
Priya Anand
Head of Data · Orbital
Pricing

Start free. Scale without surprise invoices.

Usage‑based pricing with transparent unit economics. Every plan includes the full platform — only your throughput changes.

Developer
$0 / month
For prototypes and side projects.
  • 1M inference requests / mo
  • 3 active agents
  • Community support
  • 7‑day metrics retention
Start free
Most popular Scale
$1,200 / month
For production workloads with growth.
  • 250M inference requests / mo
  • Unlimited agents and flows
  • Multi‑region mesh routing
  • SOC 2, SSO and audit logs
  • 90‑day metrics retention
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Enterprise
Custom
For regulated, planetary‑scale deployments.
  • Dedicated mesh capacity
  • VPC peering and BYOK
  • 99.999% SLA with credits
  • Named architect + 24/7 support
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FAQ

Questions, answered.

How does the global inference mesh actually work?
Every region runs a thin Aether router that maintains a live map of model replicas, health, latency and quota across the planet. When a request lands, the router picks the closest healthy replica in under a millisecond — and can fall back across regions instantly if anything degrades.
Do you support private weights and on‑prem deployment?
Yes. Aether ships a fully air‑gapped runtime that runs in your VPC or on‑prem cluster. Bring your own weights, your own KMS, your own observability sink — the control plane stays under your roof.
What's the migration path from our current stack?
Most teams migrate one workload at a time behind our shadow‑mode router — Aether mirrors traffic, validates parity, then flips the switch. Typical end‑to‑end migration is four to eight weeks with a dedicated solutions architect.
How is usage billed?
You pay for inference units, data flow throughput and agent‑seconds — that's it. No charges for control plane, dashboards, alerts or SSO. Every invoice line maps to a specific workload so finance teams sleep easy.
What compliance certifications do you carry?
Aether is SOC 2 Type II, ISO 27001 and HIPAA‑ready. GDPR and CCPA data residency controls are built into the data fabric, with region pinning enforced at the network layer.

Build the intelligent layer of the internet.

Spin up a workspace in two minutes. Your first million inference requests are on us.

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