Privacy
Data stays on your network. There are no external API calls to leak it — privacy is a property of where the computation runs, not a policy you have to trust.
Parent company & core technology for local-first AI
AI agents that run locally.
Edge AI builds autonomous agents powered by open-source models that run on your own hardware. No cloud. No data leaving your network — just AI that perceives, acts, and answers to you.
The agent loop
Why local-first
The case for AI on your own hardware
Four principles shape everything we build — they come from running models where your data already lives, not from features bolted on later.
Transparency
Open-source models you can inspect and modify.
Autonomy
Agents that take action, not just respond.
Proof
We run our own company on it. If an agent is not good enough for our operations, it does not ship to yours.
Products
Two ways Edge AI shows up
One technology, two products: AI for the spaces you live and work in, and AI that runs the operations behind a business.
Spaces
Haba Casa
AI for physical environments. Homes, offices, and factories that manage themselves — sensing what is happening and acting on it, entirely on hardware in the building.
Business
The AI Agency
Agents that run operations — support, scheduling, and workflows — autonomously. We design, deploy, and tune local agents that do the work, not just suggest it.
How it works
Local models. Real actions. Your control.
The whole loop runs where your data already is. Three steps, no cloud round-trip.
- 01
Run models locally
Open-source LLMs run via Ollama on your own hardware — from a workstation to an edge box in the building. No accounts, no tokens billed to the cloud.
- 02
Agents perceive & act
Agents read sensors, systems, and context, then take real actions — adjusting environments and running operations, closing the loop without a human in every step.
- 03
You stay in control
Full visibility into what the agent saw and did, with guardrails and overrides. Because it is local and open, nothing is a black box you cannot audit.
Built for the edge
Engineered to run where the work happens
Edge AI is designed around local large language models and open weights, deployed on-prem — from compact GB10-class machines to the GPUs already in your rack. The result is low latency, no egress, and full ownership of the stack.
Local LLMsOllama runtimeOn-prem / air-gappedGB10 + edge GPUsOpen weightsNo data egress
stack
- Runtime
- Ollama · local model serving
- Models
- Open-source weights, swappable
- Hardware
- GB10 / edge GPUs · on-prem
- Network
- Zero external API calls
- Control
- Auditable, overridable agents
Inspect it, modify it, own it.
Bring AI in-house. Keep your data there.
Whether you are automating a space or a business, Edge AI runs it on your hardware. Tell us what you want to put on autopilot.
hello@edge-ai.space