v0.1.0-alpha · early access open

The IDE for
AI-native IoT

Draw device workflows visually. Embed AI monitors on real hardware. Deploy firmware OTA with staged rollout and automatic rollback — all from one canvas.

open cloud IDE see how it works ↓

No credit card · Free during alpha

8+
IoT protocols
Modbus · MQTT · Zigbee · BLE
93%
AI confidence avg
edge inference · onnx
OTA
staged firmware rollout
commit / rollback
19
screens shipped
fleet · AI · deploy · settings
what it does

Everything your IoT fleet needs
in one place

ShorelineDB replaces the fragmented toolchain of MQTT dashboards, OTA scripts, and spreadsheet monitoring with a single canvas-first IDE.

🗺
Canvas workflow editor
Drag nodes onto a canvas to wire sensors, actuators, AI monitors, and cloud feeds. Deploy the workflow directly to devices — no YAML, no CLI.
🤖
AI monitor & routine learner
Run ONNX models at the edge. ShorelineDB learns device routines automatically and surfaces energy-saving proposals with confidence scores.
📡
OTA firmware with staged rollout
Push firmware to 10% of devices first. Automatic anomaly detection holds the rollout or triggers rollback before a bad update spreads.
📊
Live telemetry dashboard
Sparkline charts, MQTT stream sidebar, fleet status, and alert cards — all updating live without a page refresh.
🔒
Team access & API keys
Role-based access (viewer / editor / admin), email invites, scoped API keys, and a full audit log of every deploy and rollback.
⏱
Scheduled & maintenance deploys
Cron-based deploy schedules with maintenance window enforcement. Set it once — ShorelineDB handles the timing automatically.
the canvas IDE

See the dashboard live

dashboard.shorelinedb.io/pages/dashboard.html
workspace
canvas editor
dashboard
fleet
all devices
telemetry
alerts
OTA
deploy firmware
staged rollouts
sensor
Temp Sensor
sensor
Occupancy PIR
AI monitor
Routine Learner
actuator
HVAC Controller
OTA
Firmware Push
AI: shift compressor 18min · 93% · saves 2.3kWh/day
inspector
devices
AI
OTA
Routine Learner
model
routine_learner.onnx
inference
edge · ESP32
window
14d training
confidence
93%
status
● active
● 3/4 online · firmware v2.4.2 ready · MQTT 847/min ShorelineDB Cloud · v0.1.0-alpha
open live dashboard →
how it works

From sensor to insight in four steps

1
Connect devices
Add Modbus, MQTT, Zigbee, or BLE devices. ShorelineDB discovers them automatically on your network.
2
Draw the workflow
Drag sensor, actuator, AI monitor, and OTA nodes onto the canvas. Connect them with edges. That's your logic.
3
AI learns routines
The edge model observes your devices over 14 days and surfaces energy-saving proposals automatically.
4
Deploy & monitor
Push firmware OTA with staged rollout. Approve AI proposals. Watch the fleet recover energy in real time.
pricing

Simple, predictable pricing

Free during alpha. Upgrade when you're ready.

Hobby
$0/mo
Forever free for small projects
  • Up to 5 devices
  • 1 team member
  • 3 OTA deploys / month
  • 7-day telemetry retention
  • Community support
get started free
most popular
Pro
$49/mo
For growing IoT teams
  • Up to 50 devices
  • 10 team members
  • Unlimited OTA deploys
  • 30-day telemetry retention
  • AI monitor — all models
  • Priority email support
start free trial →
Enterprise
custom
Volume pricing · SLA
  • Unlimited devices
  • Unlimited team members
  • Custom AI model training
  • On-prem deployment option
  • Dedicated SLA + support
  • SSO / SAML
contact sales
alpha · limited seats
Start building your IoT fleet today

ShorelineDB is free during alpha. No credit card, no setup fee — just open the IDE and connect your first device.

open cloud IDE →