Your home. Your rules. Your AI.
NEDHA AI is the smart home layer that thinks before it acts. Every command is validated against context, safety rules, and conflict checks — before a single device moves.
dim bedroom lights to 40%
EXECUTEDcontext: night · you are home
turn off AC — server room
BLOCKEDconflict: server room active · risk HIGH
lock front door
EXECUTEDtrigger: departure detected
run sprinklers now
BLOCKEDconflict: rain forecast in 2 h
12
Active devices
ON
Safety gates
2
Blocked today
Real problems we solve
Smart homes aren't smart enough.
Existing automation platforms execute commands without thought. No context. No safety. No explanation. NEDHA AI fixes all of that.
Conflict prevention
Problem
“Your assistant turned off the wrong AC — the one cooling your server rack.”
NEDHA AI
NEDHA AI checks device metadata and conflict rules before executing any command. Critical devices are flagged as protected.
Context awareness
Problem
“Your automation fires at 2 AM and wakes up the whole house.”
NEDHA AI
Context rules encode occupancy, time windows, and presence data. Night mode automation never runs if bedrooms are occupied.
Audit trail
Problem
“Something changed in your home and you have no idea what — or who did it.”
NEDHA AI
Every command is logged with who issued it, what context was evaluated, and what the outcome was. Full explainability.
Conflict detection
Problem
“Two automations keep fighting each other — lights turn on, then immediately off.”
NEDHA AI
NEDHA AI's conflict engine detects when two rules target the same device and resolves priority before execution.
Features
Everything your smart home needs. Nothing it doesn't.
NEDHA AI is a validation layer on top of your existing devices — so you keep flexibility while gaining control.
Safety gate
Every command passes a multi-layer safety check before hardware receives it. No exceptions.
checks: conflict · permissions · rules · context
Context engine
Time, occupancy, presence, weather, and telemetry all feed the decision before execution.
sources: sensors · calendar · location · history
Heuristic learning
Observes your routines and suggests smarter automations — without you writing a single rule.
patterns: routine · schedule · preference · habit
Multi-protocol control
MQTT, HTTP, serial, and extensible adapters let you control any device regardless of brand.
protocols: MQTT · HTTP · Serial · Zigbee-ready
Realtime telemetry
Live device state streams to your dashboard and mobile clients. See exactly what is happening, now.
streams: power · temp · occupancy · state
Audit trail
Every command logged with context snapshot, authorization chain, and outcome. Nothing is untracked.
records: who · what · why · when · result
Role-based access
Kids get limited control. Guests get temporary access. Admins get everything. Per-device permissions.
roles: owner · family · guest · restricted
Offline-first
Core automation runs on your local network. Internet down? Your home still works — and stays safe.
processing: local · private · no cloud required
Use cases
Real scenarios, handled intelligently.
These aren't hypothetical examples. These are the exact situations NEDHA AI is designed to handle — every day.
Morning routine
“"Good morning" triggers a chain of actions — but only after confirming you're actually awake and home.”
- ▸Checks occupancy sensor before any lights turn on
- ▸Reads weather to skip sprinklers if rain is forecast
- ▸Adjusts AC only if no conflicting schedules exist
Departure automation
“When you leave, the home secures itself — intelligently, not blindly.”
- ▸Detects departure via geofence or presence sensor
- ▸Locks doors only after confirming all residents are out
- ▸Logs every action taken with a reason attached
Night mode
“Late-night commands are evaluated with extra caution to avoid disturbing the household.”
- ▸Time-window context blocks bright lights after 10 PM
- ▸Noise-making devices require explicit override to run
- ▸Safety gates remain active — no blind execution
Multi-user household
“Different people, different permissions. The system knows who's asking and what they're allowed to do.”
- ▸Kids cannot trigger parent-only automations
- ▸Guests get temporary, scoped device access
- ▸Every user action is attributed and logged separately
Who it's for
Built for people who actually live in their homes.
The Smart Home Owner
“I have 40+ devices and I don't trust them anymore. NEDHA AI is the only one that tells me WHY it did what it did.”
- ▸Wants visibility into every action
- ▸Needs conflict resolution
- ▸Values explainability
The Privacy Advocate
“I refuse to send my home data to Amazon or Google. NEDHA runs on my local network — completely private.”
- ▸Local-first processing
- ▸No cloud dependency
- ▸Full data ownership
The Household Manager
“My kids kept triggering automations meant for adults. Now they have their own permission set.”
- ▸Per-user permission profiles
- ▸Time-based access rules
- ▸Safe defaults for children
The Hardware Builder
“I built my own ESP32 sensors and NEDHA connected to them over MQTT in minutes. Then I added safety rules on top.”
- ▸Multi-protocol support
- ▸Extensible adapters
- ▸Full developer control
How it's different
Not just another automation tool.
Every existing tool treats execution as the first step. NEDHA AI treats validation as the first step.
vs basic automation
Traditional tools (Home Assistant, Alexa routines) execute blindly. NEDHA AI validates context first.
vs cloud assistants
Alexa and Google Home send your data to the cloud. NEDHA AI can run entirely on your local network.
vs rule-only systems
Static rules can't adapt to context. NEDHA AI reads live state before every execution.
vs no accountability
When something goes wrong, you can't trace who or what caused it. NEDHA AI logs everything.
Privacy & ownership
Your home is not someone else's training set.
NEDHA AI is designed so sensitive automation and telemetry can stay on your network. You choose what leaves the house — and every outbound path should be explicit, not accidental.
Data stays yours
Command history, device graphs, and rule definitions remain under your control. Export and delete paths are first-class, not buried settings.
Local inference options
Where hardware allows, models run beside your hub — lower latency for validation and fewer reasons to ship raw audio or state to the cloud.
Transparent audit
When a rule blocks or allows an action, the trail shows which signals fired — so security reviews and family trust are easier to earn.
How it works
Five stages. Zero unsafe executions.
Every command — voice, app, or automation trigger — passes through this exact pipeline.
Intent arrives
Voice command, text, or automation trigger reaches the NEDHA AI engine.
Context snapshot
System captures occupancy, time, device states, weather, and user presence.
Safety + rule check
Command evaluated against safety gates, conflict rules, ACL, and heuristics.
Execute or block
If all checks pass, the device executes. If any fail, the command is blocked with an explanation.
Audit + telemetry
Result is logged to the audit trail and telemetry streams back to dashboards.
Tech stack
Web / BFF
Next.js 16 · React 19 · Tailwind 4
AI engine
Python 3.12 · FastAPI · Uvicorn
Protocols
MQTT · HTTP · Serial
Infra
Docker Compose · local-first
· NEDHA AI · In development ·
Interested in where this is going?
NEDHA AI is actively being built. Learn more about the team and the mission behind it.