Skip to main content

Unlimited devices.
Unlimited data.

Register as many devices as you need. Send as much data as they produce. No throttles, no caps.

The bigger your fleet, the better Connhex gets.

Ingest everything.
More headroom than you'll ever use.

Connect over MQTT, HTTP, WebSocket or CoAP. One identity across all of them. Unlimited ingestion. Queryable the moment it lands.

How much data will your fleet produce?

We built the ingestion engine to handle orders of magnitude more than most fleets will ever produce. Drag the sliders to see how your fleet compares.

10,000
10 s

Need more? Enterprise plans scale horizontally. Capacity grows with your fleet.

Your fleet produces

2.6

billion datapoints/month

Barely noticeable

Connhex platform capacity

0.6%
Your fleet100% capacity

How do we keep up?

Behind the scenes, Connhex scales its architecture to match your fleet's demand, splitting layers, adding capacity, distributing load. You never manage infrastructure.

All services run together on a single instance. The platform scales vertically until your fleet outgrows it.

DEVICESCONNHEX CLOUDLoad BalancerConnectivitySecurityIoT ServicesDatabaseDEVICESCONNHEX CLOUDPROCESSINGLoad BalancerConnectivitySecurityIoT ServicesSTORAGEDevice DataMessagesAccountsDEVICESCONNHEX CLOUDLBCONNECTIVITYMQTTHTTPWebSocketCoAPPROCESSINGSecurityIoT ServicesSTORAGEDevice DataMessagesAccountsDEVICESLBGLOBALCONNHEX CLOUDCONNECTIVITYMQTTHTTPWebSocketCoAPSECURITYAuthNAuthZIAPSERVICESThingsReaderWriterCertsCLUSTER 1CONNHEX CLOUDCONNECTIVITYMQTTHTTPWebSocketCoAPSECURITYAuthNAuthZIAPSERVICESThingsReaderWriterCertsCLUSTER 2syncCONNHEX CLOUDSTORAGEDataMessagesAccountsCacheEventsDATA LAYER

Manage every device.
From factory to field.

Provision at the factory. Update in the field. Know the state of every device at every moment.

Provision & connect

One API call. Hundreds of devices. Each gets a unique certificate and credentials, and starts sending data immediately.

Monitor & organize

Every device reports its status in real time. Flapping detection catches unstable ones before they cause outages.

Update over the air

Push firmware to your whole fleet or a single device. Target by model, site, label — whatever makes sense.

All of this is also available through Connhex Control.

OTA Rolloutfirmware v2.4.1
0/ 2,400 updated

Ready to deploy

Device UptimeLast 30 days
pump-01899.97%
pump-04299.91%
pump-09198.41%
SLA target: 99.9%

Track connection history for every device. Know exactly when and for how long it went offline — and whether it met its SLA.

pump-091factory-B
ON
OFF
ON
OFF
ON

Flapping detected

5 state changes in 58 seconds. Flagged automatically.

Devices that rapidly toggle between online and offline are flagged automatically — before they corrupt data streams or mask real failures.

I'm still impressed by the low latency our applications have. We achieved a 5x speedup over our already best-in-class mobile apps.
Paolo Zigoni
Paolo Zigoni

CTO, Astrel GroupRead the story

Security from the ground up.
Zero-trust architecture, all the way to the device.

Nothing happens without explicit authorization.

Every request authorized. Every device authenticated. Every tenant isolated.

How we achieve it

Enforcing authorization on every single request (every API call, every device message, every data query) requires an IAM engine that can keep up without adding latency. We built one. It evaluates policies in microseconds, and its performance stays flat no matter how many rules you add.

mTLS device identity

X.509 certificate per device, issued at provisioning. The device proves who it is on every connection.

Encrypted communications

TLS on every hop: device to platform, service to service, platform to database. No unencrypted paths.

Encrypted storage

Data encrypted at rest at the database layer. Credentials and secrets never stored in plaintext.

Secure authentication

Devices authenticate with certificates or unique keys. Users authenticate through the identity service. No shared secrets.

500M+ rules

permission rules evaluated in less than 200 microseconds

100μs200μs300μs400μs500μsand beyond198μs100210μs500222μs1K178μs5K182μs10K165μs50K195μs100KNUMBER OF POLICIES

Add as many policy rules as you need. Authorization performance stays flat.

Your policies, same engine

The same authorization engine is available to you. Define custom policies for your own application (tenant scoping, role hierarchies, resource-level permissions) and every check runs at the same speed. Your authorization logic rides on the same infrastructure that secures the platform itself.

policy "fleet-manager"

subjects: team:field-ops

actions: read, update

resources: things:*

tenants: tenant-A

✓ evaluated in μs

Know what your fleet is doing.
Before your customers call to tell you.

Anomaly detection that learns what "normal" looks like. Forecasting that answers "when" before anyone asks. A copilot that speaks plain English.

Your fleet produces the data.
We make it useful.

Millions of datapoints. Millisecond answers.

Real-time. Live status of any device, instantly.

Aggregated. Averages, sums, min, max. Across your entire fleet, in one request.

Downsampled. Raw telemetry compressed into rollups. Dashboards stay fast at any scale.

Filtered. By device, time range, metric, or any combination.

Connhex Copilot

An AI assistant built into the platform. Ask questions about your fleet in plain English. Copilot queries your data and returns structured answers instantly.

No query language to learn. No dashboard to navigate. Support teams, field engineers and non-technical operators use the same interface.

Try asking

What's the average uptime for TempSensor-v2 this quarter?

Which sites had humidity above 80% in the last 7 days?

Show me devices that went offline more than 3 times yesterday.

Connhex CopilotOnline

Which pumps in fleet X consumed more than 200 kWh last month?

Ask anything about your fleet...

Anomaly DetectionLast 24h
ANOMALYPOWERTIME →

Anomaly detected: pump-018

Power consumption 15% above fleet average for model TempSensor-v2. Flagged automatically.

DeviceStatus
pump-018Anomaly
pump-042Normal
pump-119Normal

Anomaly Detection

Connhex observes the telemetry patterns produced by your fleet, not manually configured thresholds, but the actual statistical behaviour of each device model. A device that deviates from its peers gets flagged automatically.

No training phase. No labeled data. No data science team required. The longer the fleet runs, the sharper the detection gets.

What you can build

Predictive maintenance. Predict that pump #742 needs a filter change in 14 days.

Energy efficiency. Surface the 10% of devices responsible for 40% of the overshoot.

Automated alerts. Trigger notifications when anomaly detection flags a device.

Fleet health scoring. Rank devices or sites by operational health.

Explore Connhex AI
The Connhex Remote Init flow is exactly what we needed. It solves problems we didn't even know existed.
Stefano Vardanega
Stefano Vardanega

Senior Software Engineer, SeitronRead the story

Why not build it yourself?
It's a trap.

With modern tooling and AI assistants, the first stretch is faster than ever. What follows hasn't changed.

The typical build-your-own timeline

Week 1

The easy part

A broker, a REST API, a database. Maybe an LLM writes half of it. It works.

Week 2–4

The real requirements

Authentication. Multi-tenancy. OTA updates. Device provisioning. Certificates. The edge cases pile up.

Month 2–3

The reckoning

Scaling issues. A security audit that sends half of it back to the start. Fifteen services, and nobody remembers why.

Month 3+

The new normal

Every patch, every protocol edge case, every compliance audit: yours to own, forever. The actual product is still waiting.

1

services to maintain

0

weeks behind schedule

We have built IoT infrastructure many times over, for real products, under real production pressure. We hit every wall on this timeline: the OTA rollout that bricked a batch of devices in the field, the certificate rotation nobody had planned for, the multi-tenancy retrofit that took longer than the original build. Connhex exists because we decided to solve this once, properly, rather than patch it forever.

An IoT platform looks simple at first. The first version comes together fast. But the complexity underneath compounds: protocol edge cases, security audits, multi-tenancy, scaling walls, until the platform becomes the product, and the actual product stalls.

Building the first version is the easy part. Maintaining, securing, and scaling it for years is where it gets you. That's the trap.

Don't build the platform.
Build on it.

Connhex handles the infrastructure. You keep full control over your product, with modern tools, AI-native workflows, and an API-first architecture designed to be automated, extended, and integrated into the way you already work.

MCP

Model Context Protocol support. Let AI agents interact with your fleet through a standardized interface.

View on GitHub

Context7

AI-native documentation. Your tools already know how to use Connhex.

Open in Context7

API-first

Every feature is an API. Build with any language, any framework, any workflow.

API reference

OpenAPI specs

Full API specifications published and versioned. Generate clients, types, and mocks automatically.

CLI tooling

Manage devices, push firmware, and query data from your terminal or CI/CD pipeline.

View on GitHub

Webhooks

React to events in real time. Connect Connhex to your own backend, alerting, or automation.

Whether you're writing code, prompting an AI, or wiring a CI/CD pipeline. Connhex fits into your workflow, not the other way around.

You didn't start your company to build an IoT platform.

We did. And we'd like to run yours for you.

Pick your path

There's more to explore. Start from wherever you are.