SeeMe.ai Documentation

Build AI Without Giving Up Control

SeeMe.ai is the sovereign AI platform—train, deploy, and manage machine learning models while keeping your data exactly where you want it: on your infrastructure.

Choose Your Path

What You Can Build

Every major AI task type, one unified platform:

Platform at a Glance

graph TB
    subgraph "Data Layer"
        D1[Datasets]
        D2[Labeling & Annotation]
        D3[Versioning]
    end

    subgraph "Training"
        T1[Finetuning]
        T2[Distillation]
        T3[Optimization]
    end

    subgraph "Deployment"
        P1[Cloud API]
        P2[On-Premise]
        P3[Edge & Mobile]
    end

    subgraph "Automation"
        W1[Workflows]
        W2[Post-Processors]
        W3[Knowledge Graphs]
    end

    D1 --> D2 --> D3
    D3 --> T1 --> T2 --> T3
    T3 --> P1
    T3 --> P2
    T3 --> P3
    P1 --> W1
    W1 --> W2
    W2 --> W3

Quick Start Examples

Python SDK

from seeme import Client

client = Client()

# Make a prediction
result = client.predict(model_id="your-model", item="image.jpg")
for item in result.inference_items:
    print(f"{item.prediction}: {item.confidence:.1%}")

REST API

curl -X POST "https://api.seeme.ai/api/v1/inferences/{model_id}" \
  -H "Authorization: myusername:my-api-key" \
  -F "file=@image.jpg"

Deployment Options

Frameworks & Integrations

Next Steps