Autonomous AI · Infrastructure · Automation

Autonomous AI,
end to end.

MTB Power orchestrates 118+ AI models, trains its own, automates the entire web stack — servers, domains, DNS, deploys — and drives a real browser autonomously. One system. Zero humans in the loop.

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AI providers
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models in fleet
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automated ops
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autonomous

Powered by the best AI on earth

Anthropic OpenAI Google DeepSeek xAI RunPod Hugging Face DigitalOcean Cloudflare Namecheap Ollama Anthropic OpenAI Google DeepSeek xAI RunPod Hugging Face DigitalOcean Cloudflare Namecheap Ollama

01 · Core engine

AI Orchestration

One brain, many engines.

Task-aware routing

Every job is classified and dispatched to the best model for it — coding, vision, reasoning, long-context, web or design. No one-model-fits-all.

Parallel & consensus

Critical tasks run N models in parallel; a judge model picks the best answer. Crowd wisdom at machine speed.

Resilient by design

Local, cloud and GPU backends with instant fallback. If a provider fails, the next takes over — no cold start, no downtime.

02 · Decision pipeline

Smart routing in three moves

1

Classify

Understand the task: intent, complexity, modality.

2

Route

Pick the best engine — Opus 5, GPT-5.6, Gemini, DeepSeek, and more.

3

Guarantee

Auto-fallback on failure. The job always finishes.

Opus 5 GPT-5.6 Gemini DeepSeek Grok + more

03 · Self-hosting

Infrastructure automation

It builds its own infrastructure.

DO
DigitalOcean

Servers provisioned via API — droplet up, firewall locked, SSH keys set, DNS pointed. Fully automatic.

POST /v2/droplets → 200 OK
CF
Cloudflare

Zones, DNS records, SSL and CDN — all programmatic. Edge protection without touching a dashboard.

PATCH /zones/:id/dns_records → proxied
NC
Namecheap

Domains and nameservers managed through code. Buy, point, renew — no human clicks.

SET ns1 / ns2 → done

04 · Own the weights

Custom model training

We don't just use AI. We train our own.

RunPod

On-demand A100 & H100 GPUs for fine-tuning and inference. Spin up a cluster, train, tear it down.

Hugging Face

Models and datasets, versioned and served from the hub. Every experiment reproducible.

Ollama + GGUF + QLoRA

Local serving — quantized GGUF models with QLoRA adapters, running on our own hardware, always on.

05 · Eyes on the web

Autonomous web agent

A real browser that drives itself. It defeats bot protection, collects thousands of records a week, and reports straight to Telegram. No babysitting.

Real browser Bot protection bypass Thousands of records / week Telegram notifications
agent / browser.sh
$ agent launch --headless=false
navigating… rotating fingerprint
challenge solved (captcha)
extracting records… 1,284 rows
done — notifying Telegram
MTB Bot
1,284 new records collected ✓
09:41

06 · The arsenal

The model fleet

14 providers. 118+ models. One orchestrator.

AN
Anthropic
Claude Opus 5
OA
OpenAI
GPT-5.6
GO
Google
Gemini 3.1 Pro
DS
DeepSeek
V4
xAI
xAI
Grok
QB
Alibaba
Qwen3-Max
GL
Zhipu
GLM
CO
Cohere
Command
CE
Cerebras
ultra-fast inference
MI
Mistral
Large
MM
MiniMax
M2
KI
Kimi
K2
GC
GitHub
Copilot
118+ models, orchestrated

07 · Under the hood

Tech stack

Everything the machine runs on.

Python
The backbone of every pipeline
Node.js / TypeScript
Services, tools and bots
Docker
Containerized everything
GitHub Actions
CI/CD on autopilot
Ollama & vLLM
Local model serving
PostgreSQL / Redis
State, cache and queues
Playwright
Real-browser automation
Telegram Bot API
Alerts and live reports
Cloudflare Workers
Edge compute
DigitalOcean API
Infrastructure as code
Hugging Face Hub
Models and datasets
GGUF / QLoRA
Quantization and adapters

Autonomous AI, end to end.

The ops run themselves. The vision is ours.

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08 · Contact

Get in touch

Questions, partnerships or press — we'll reply fast.

Fast response — usually within a few hours