AI Automation Agent · Namibia → Africa

Build AI you control.

AISOD 3A is the AI automation layer for people and organisations that want to control how their AI works from the harness and data pipeline to the model it runs.

Start with 3A Learn to build your own

Open-weight foundations today. AISOD-trained models become the primary engine as they are proven.

$ aisod3a run
goal = "build a research report"
→ planner
→ researcher
→ coder / tools
→ evaluator
✓ human-ready result

model: your choice
data: your control
workflow: your rules
The platform

One harness. Many models. Your workflow.

3A coordinates planning, research, coding, evaluation, tools and future skills around a model layer that can change without rebuilding the application.

01

Agent orchestration

Break complex work into bounded specialist tasks, execute them, evaluate outputs and return an auditable result.

02

Model freedom

Use an open-weight model, a hosted provider or your own fine-tuned model. Routing should be a configuration decision, not a rewrite.

03

Local-first control

Design for self-hosting, offline-capable deployments and African-language workflows as the Corpus and model family mature.

Real deployments

Built for live products, not just demos.

AISOD 3A is already being used in real operational flows where model choice, control, and local execution matter.

Online research

myresearcha.com

The harness is active in a research workflow where users can choose any frontier model inside the pipeline and keep the research process structured, auditable, and controllable.

  • Model selection inside the research stack
  • Structured planning + evaluation loop
  • Human-aligned research output
Offline mobile

AISOD Chat

Built for Android and iOS, AISOD Chat ships with offline-capable models so users can still access AI workflows when connectivity is limited or unavailable.

  • Android and iOS deployment
  • Local model execution
  • Low-connectivity or offline operation
Sovereign AI, practically

Own the harness.
Own the data.
Own the choice.

You do not need to begin by training a foundation model from zero. Start by controlling the workflow and data, then move from rented intelligence to models you fine-tune and run yourself.

Self-hostedOpen-weightLocal data Model routingOffline pathHuman approval
AISOD Sovereign AI Builder

Learn the whole stack.

A practical path for engineers, organisations and institutions that want to move from “using AI” to building an AI system they can operate themselves.

01
Build the harness

Understand agents, tools, orchestration, permissions, evaluation and deployment.

02
Own the data

Collect, clean, label, curate and govern domain or language data through a real pipeline.

03
Fine-tune an open model

Prepare instruction data, train adapters, benchmark the model and measure where it actually improves.

04
Deploy & operate

Package the model and harness, monitor cost and quality, and introduce stronger sovereignty as the system proves itself.

For organisations

From AI dependency to an AI system you operate.

Use 3A to build internal automation, private assistants and domain-specific AI without locking the organisation to one model vendor.

Build

We help teams map a real workflow and turn it into an agentic system with clear permissions and approval points.

Train

We help teams create the data pipeline and fine-tuning workflow for a domain-specific open-weight model.

Operate

Self-hosting, model routing, evaluation and maintenance designed around the organisation's actual constraints.

Proof in practice

African languages & offline-first.

Move from supervised models to systems you control. Start with your language and data, run anywhere—online or air-gapped.

African Language Support

Load local language datasets (Oshiwambo, Chokwe, Zulu, Amharic) and define language-specific adapters without retraining from scratch.

from aisod3a import Harness, LanguageAdapter

harness = Harness()
adapter = LanguageAdapter.load(
  'oshiwambo',
  data_path='./datasets/oshiwambo',
  model='open-weight-base'
)
harness.register(adapter)

Air-Gapped Deployment

Deploy the full stack (harness + model + data) in a zero-internet environment. No API calls, no external dependencies.

$ aisod3a deploy \
  --offline \
  --local-model ./models/oshiwambo-7b \
  --data ./local-corpus \
  --target docker | k8s

Local Data Sovereignty

Process sensitive data entirely on-premise. No cloud logs, no external caching, full audit trail under your control.

Data Flow:
Local Input → Harness → Local Model → Local Storage
✓ Air-gapped
✓ Fully auditable
✓ Your infrastructure
Offline architecture

How local-first deployments work.

The harness routes work and data through local inference, with no external calls required. Scalable to multi-node on-premise setups.

ONLINE (Traditional)
App → API Call → Cloud Service → Model → Result
Latency: ~500ms+ | Dependency: internet | Privacy: shared
OFFLINE WITH 3A (Local Control)
App → Local Harness → Local Model → Result
Latency: ~50-200ms | Dependency: none | Privacy: ✓ yours
→ Planner queries local KB
→ Researcher accesses local corpus
→ Model inference on local GPU/CPU
→ Results stay on your infrastructure
Commercial model

Three ways to build with 3A.

Ready to innovate. Early pricing for committed builders and enterprises. Production deployments supported. Scale with confidence.

Builder

Free
  • ✓ Core harness
  • ✓ Local development
  • ✓ Community support
  • ✓ Full documentation
Clone from GitHub

Pro / Managed

$299+/mo
  • ✓ Managed workspace
  • ✓ Model routing & scaling
  • ✓ Team collaboration
  • ✓ 24/7 support

Enterprise

Custom
  • ✓ Private deployment
  • ✓ Data sovereignty
  • ✓ Custom training
  • ✓ Dedicated support
Early access

Build the first version with us.

3A is being built from real internal workloads first. Join the builder programme, request an enterprise deployment, or follow the open-source harness.

Join builders View GitHub