[go: up one dir, main page]

Agent · Browser · Tools · Models

The full stack of AI coding.Every option stays yours.

Aexol is the full-stack development environment — agent, browser, tools, models — and it hands you the controls: any model in the catalog or your own, a dedicated GPU session from $3/h (the same session is $15+/h elsewhere). Work how you want, when you want, on what you want.

Dedicated GPU session from $3/h · Any model in the catalog or your own · No training on your data

The stack you control
from $3/hsession live
  • Agentready

    Always-on sessions that edit files, run commands and work with Git.

  • Browseron-call

    Drive any of them from a tab — no SSH, no port forwarding.

  • Toolsready

    Terminal, Git, MCP servers and a real editor in one loop.

  • Modelsready

    Any model in the catalog, or your own open weights.

Run any model in the catalog or your own, on a dedicated GPU session from $3/h.

Start AgentNo training on your data

Models & GPUs

Your models. Your GPUs. Every machine you own.

Rent a GPU and host your own models on it — you pay by the hour, not per token. The same harness reaches every machine you own from one browser tab or a phone, and models come up from the API.

Your own models, on a rented GPU

Rent a GPU, boot the model, chat. You pay by GPU-hour — the tokens it serves are free. A cold model says so; starting it from the chat warms it to READY.

start → READY

One harness, every machine

Install Spectral on each machine and run it. Laptop, workstation and server become live agents in one browser tab — and the phone drives the same machines. No SSH, no port forwarding.

spectral serve

Stand models up from the API

Start the GPU run over the API, then call the model on an OpenAI-compatible endpoint any client can talk to.

POST /v1/chat/completions

Relay topologyboth sides dial out
  • Browser tab

    agent view

  • Phone

    same machines

relay

  • Laptop

    live agent

  • Workstation

    live agent

  • Server

    live agent

The fleet behind it

Qwen 3.8 27B

27B params
$2/h
FP4 decode
90 tok/s
Total throughput
720 tok/s

GLM 5.3 Flash

Flash
$4/h
FP4 decode
110 tok/s
Total throughput
880 tok/s

Ornith 9B

9B params
$1/h
FP4 decode
200 tok/s
Total throughput
1600 tok/s

FP4 = 4-bit quantized decode · total = aggregate fleet throughput · billed by GPU-hour, tokens served are free

Explore models

Where we're heading.

Three goals define what we're building toward — speed, access, zero friction.

1000tok/s

Output speed on a model that can agentic code, with only 10–30 B active parameters.

Private, for any team size

Even very small teams get private endpoints — at the best and lowest price per hour.

One click, out of the box

A ready private endpoint in a single click. Serverless, nothing to operate.

Made in the EU. Hosted wherever you want. No training on your data.

Made in the EU

Built by a team in the European Union.

Hosted wherever you want

Inference hosted in your region — your code never leaves it.

Run it locally

Inference on your own hardware: an open-weight model (e.g. Qwen 3.8 27B, Apache-2.0) on a GPU you own or rent.

No training on your data

We do not allow providers to train on your data.

Read the privacy policy
Put an agent on your machine.

Always-on sessions that edit files, run commands and work with Git.