THE INFERENCE UNIVERSE

EVERYTHINGinferenceONEPLATFORM

Tokens. Agents. GPUs. Whatever inference you need — we've got it.

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00 / 04— THE STACKAPPLICATION · ROUTING · COMPUTE · PEOPLE

One stack. Four products.

Every layer of the modern AI stack — application, routing, compute, and the people who build with it. We make all four. They ship together.

L01APPLICATION & WORKFLOW
GHOST
Where your agents live.
Persistent VM
SSH from any device
Pre-installed tools
L02COST CONTROL & ROUTING
MAESTRO
Picks the model. Caps the bill.
Marketplace
Budget guardrails
Smart failover
L03COMPUTE
ENGINE
Bare-metal GPUs at wholesale.
H200 · H100 · A100
Hourly · fractional · reserved
InfiniBand clusters
L04HUMAN INFRASTRUCTURE
ACADEMY
Learn AI by building on the stack.
TAi · reasoning coach
Real GPUs from Engine
Ghost VM + Maestro credits
01 / 04— GHOSTALWAYS-ON AGENT VM

Deploy a ghost.
Fastest agent 0 → 1.

A dedicated Linux VM. Every frontier model pre-wired. Claude Code, Hermes, OpenClaw pre-installed. One-click deploy to Discord, Telegram, Gmail, Lark, WhatsApp.

  • 0→1Zero config. VM warm in ~60s.
  • KEYOne key. Every frontier model. Gateway rates.
  • BINClaude Code, Hermes, OpenClaw — pre-installed.
  • ONAlways on VM.
Start your Ghost
Ghost mascot — your agent's always-on VM
02 / 04— MAESTROAI COST CONTROL
INCOMING REQUEST
MarketplaceL1 · every model worth using
gpt-5.5claude-opus-4-7gemini-3.1seedance-2.0
Budget & CapsL2 · real-time spend
$888,666.66 / $1,000,000cap @ 90% · alertteam breakdown
Smart RoutingL3 · cheapest meeting SLA
primary: bedrockfallback: anthropicp99 < 1000ms
↓ RESPONSE · 312ms · $0.0017

Take control of your
AI spend.

Maestro is the FinOps layer for AI — every model and every provider on one bill, with real-time anomaly alerts, hard caps that fire before finance does, and routing that quietly swaps you onto the cheapest endpoint that still meets your SLA.

Unified Marketplace
Every model worth using on one screen — OpenAI, Anthropic, Google, open-source. Compare price, latency, context. Pick. We handle the keys.
Budgets, Caps & Anomaly Alerts
Real-time spend by team, agent, customer, or feature. Hard caps that hold. Slack pings the second a workload starts burning out of pattern.
Smart Routing & Failsafe
Auto-route every request to the cheapest endpoint that meets your SLA. Provider degrades? We failover before you notice. You stay up; the bill stays down.
Marketplace picks the model. Budget watches the money. Routing keeps you up.
Join the waitlist
03 / 04— ENGINECOMPUTE · WHOLESALE

We find you the best
value in compute.

Blackwell B300s down to RTX 4090s. Hourly, fractional, or reserved.

Find Capacity Talk to sales for clusters →
8-GPU server tray — bare-metal compute

The full fleet.

NVIDIAflagship
B300
288GB HBM3e
VRAM0 — 256GB
MAX CLUSTER
1,024cards · IB
Reserve
NVIDIAflagship
B200
180GB HBM3e
VRAM0 — 256GB
MAX CLUSTER
768cards · IB
Reserve
NVIDIAflagship
H200
141GB HBM3e
VRAM0 — 256GB
MAX CLUSTER
512cards · IB
Reserve
NVIDIAflagship
H100
80GB HBM3
VRAM0 — 256GB
MAX CLUSTER
512cards · IB
Reserve
NVIDIAstandard
A100
80GB HBM2e
VRAM0 — 256GB
MAX CLUSTER
256cards · IB
Reserve
NVIDIAstandard
L40S
48GB
VRAM0 — 256GB
MAX CLUSTER
64cards · VM
Reserve
NVIDIAconsumer
RTX 5090
32GB GDDR7
VRAM0 — 256GB
MAX CLUSTER
32cards · VM
Reserve
NVIDIAconsumer
RTX 4090
24GB
VRAM0 — 256GB
MAX CLUSTER
32cards · VM
Reserve
And more.
CUSTOM BUILDS
TALK TO SALES →
PRICING ON REQUEST · CUSTOM TOPOLOGIES · INFINIBAND TO 4,096 CARDS
04 / 04— ACADEMYHUMAN INFRASTRUCTURE

Get Placed.
Not Replaced.

Learn AI by building on the same stack that runs it. TAi coaches your reasoning, you ship on real infrastructure.

TAi · your coaching agent

Reasoning gets evaluated, not just answers. TAi watches how you think and nudges you with targeted follow-ups.

Hands-on, by builders

Practice on real GPUs from Engine. Ship projects that ride on Ghost and Maestro. The same stack the work uses.

Built on the platform

Every learner gets a Ghost VM, credits to the Maestro gateway, and a seat with TAi. The curriculum and the tools are one product.

TAi · coaching session
EVALUATING REASONING · LIVE
I'd batch the embeddings to cut API calls. Maybe a queue?
Good instinct. Two follow-ups before you build:
1. What's your latency budget?
2. Are embeddings deterministic enough to cache?
SYSTEMS
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TRADE-OFFS
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CLARITY
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TAi is composing follow-up...
COMING SOON
Curriculum, tracks, and cohort details are landing soon.
Drop a note if you want early access or want to help shape it.
Join the waitlist Talk to us →
— START NOW

What are you
waiting for?

Whatever you're building — the rails are ready.

Start GhostTry MaestroJoin AcademyReserve GPUs
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