Our minds.
Your money.
Compounding.

MindisMoney isn't only a deals wall. It's a crew that builds the thing, ships the thing and then runs the thing — GEO so the AIs recommend you, storytelling so humans remember you, and a marquee TYPTWO practice built by people who understand local models inside-out. We don't sell our own models. We deploy, fine-tune and embed our own orchestration layer on top of the best open-weight models — Llama, DeepSeek, Qwen, Gemma 4, Mistral and more — on consumer GPUs you buy once, or rigs you rent from us at a fraction of the API bill.

Rent the stack.
Or buy it once.
Both cost a fraction of API rent.

TYPTWO is our local-model deployment practice. We don't make our own foundation models — we take the best open-weight ones (Llama, DeepSeek, Qwen, Gemma 4, Mistral, Indic and others), quantise them, batch them, tune them on your corpus, and wire them into your product through an orchestration layer we build and run. Put it on a consumer GPU under your desk, or rent the same rig from us. Same tokens. Same latency budget. Your data never leaves your building unless you want it to.

┌──────────── THE BLACKBOX ────────────┐
│  Your box, your rented slot, or both   │
├──────────────────────────────────────┤
│  GPU     › 3090 / 4090 / 5090 / 2×3080 │
│  SERVE   › vLLM · llama.cpp · Ollama    │
│  MODELS  › Llama · DeepSeek · Qwen · Gemma│
│  TUNE    › LoRA / SFT on your corpus    │
│  ORCH    › routing, evals, fallback API │
│  GUARD   › PII filter, rate-limit, guardrails│
│  WATCH   › tokens, latency, cost/req    │
└──────────────────────────────────────┘