README.md

ConfamNode 🇳🇬

The Nigerian AI inference gateway

ConfamNode gives Nigerian developers and businesses access to leading AI models — billed in Naira, not USD.

Models Hosted Here

This organization hosts the open-source models that power ConfamNode's local inference tier — running entirely on Nigerian hardware, data never transmitted abroad.

Powering ConfamNode Today

Model	Powers
Qwen3.5-4B / GGUF	confam-nano — runs on Jetson Orin Nano
EmbeddingGemma-300m / GGUF	confam-embed-text-local — local CPU embeddings

Healthcare AI — Under Evaluation

Model	Use Case
MedGemma 1.5 4B / GGUF	Medical text and image understanding
MedGemma 4B / GGUF	Medical text and image understanding

We're evaluating MedGemma for a future confam-med model — local, NDPA-aware AI for Nigerian hospitals and clinics, keeping sensitive patient data on Nigerian soil.

Under Evaluation

We maintain mirrors of additional open-source models — including Gemma 4, Qwen3-4B, and Ministral-3 — as candidates for future local ConfamNode deployments.

What ConfamNode Offers

• Cloud models — aggregated access to Gemini, DeepSeek, and other leading AI models via a single API
• Local models — AI running entirely on Nigerian hardware, for businesses requiring data residency (banks, fintechs, healthcare, government)
• Naira billing — pay-as-you-go, no USD, no subscriptions

Get Started

pip install confamnode

from confamnode import ConfamNode

client = ConfamNode(api_key="confam-sk-xxx")
ansa = client.gist(model="confam-nano", messages="How far?")
print(ansa.text)
print(ansa.is_local)  # True

Links

• PyPI: pypi.org/project/confamnode
• GitHub: github.com/confamnodeai
• Contact: hello@confamnode.com

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Built in Abuja, Nigeria by JoTeq the First