Connect the physical world to your software - and put intelligence at the edge.

We build and integrate IoT - connected devices, edge computing, and the data pipelines that bring the physical world into your cloud, your product and your models. Built AI-native, with the option to run intelligence at the edge - so the data drives a decision, not just a dashboard you look at later.

Edge intelligenceSecure device → cloudDatabricks · SnowflakeISO 27001
Device → edge → cloud → AI
Devicesensors
Edgedecide in msms
Cloudfull picture
AIdecisionact
Edge intelligence · a model runs on the device, so it acts before the round-trip
Secure, device to clouddata that acts, not accumulates
Why it matters

Most IoT collects data. Far less of it actually does anything with it.

Connecting devices is the easy part. The hard part is everything after: getting reliable data off the edge, into systems that can use it, and turning it into something that acts - a decision, an alert, an automation - instead of a dashboard no one opens. Most IoT projects quietly become data graveyards.

1

Data, but no decisions

Devices stream data into a dashboard, and nothing on the other side actually acts on it.

2

Stuck at the edge

Data trapped on devices or in silos, never reaching the systems that needed it.

3

Doesn't integrate

IoT bolted on the side, disconnected from your product, your cloud and the rest of your stack.

4

Dumb at the edge

Every decision waits on a round-trip to the cloud, when it could have happened on the device.

What we build

The edge, the data, the integration - and the intelligence.

Device-to-cloud integration

Secure, scalable pipelines that bring device data off the edge and into your cloud and your systems.

Edge & device software

Software for devices and gateways - reliable at the edge, where connectivity isn't guaranteed.

Telemetry & data pipelines

Ingest, process and make sense of sensor and device data at scale - on a real data foundation.

Edge intelligence

Run models and logic at the edge, so decisions happen on the device in milliseconds - not after a round-trip.

The path

Trace a reading - from a sensor to a decision.

The same reading can act on the device in milliseconds, or travel to the cloud where the whole fleet's picture matters. We build both paths - and decide, with you, where each decision belongs. Run it below.

Trace a reading · decide at the edge
Devicesensor reads
Edge gatewayreceives
decides in msEdge modelruns on device
Secure transportencrypted
Cloudthe fleet
Data foundationtelemetry at scale
predictsAI modelsacross the fleet
Actionautomate / alert
Edge intelligencea model runs on the devicedecide ≈ ms
Secure transportdevice → cloud, encryptedTLS · per-device identity
Two paths for the same reading. Decide at the edge for a response in milliseconds, or send it to the cloud when the decision needs the whole fleet. Pick a mode and press Run the flow.
01

Architect device-to-cloud

Design the full path - from device, through the edge, to the cloud and the systems that use the data.

02

Build AI-native

AI-assisted development across edge software, pipelines and integration, so it ships faster and more reliably.

03

Add intelligence

Run models at the edge or in the cloud - from our AI Studio - so the data drives decisions, not just dashboards.

04

Integrate & secure

Connect it into your product and stack, with security across the whole path - device, edge, transport and cloud.

What makes ours different

IoT that acts - not just collects.

Most IoT ends at a dashboard. Ours doesn't have to. Because we build the AI as well as the pipes, we can put intelligence where the data is - running a model at the edge so a device decides in milliseconds, or in the cloud where the whole picture matters.

The usual IoT

Data → dashboard

Devices stream readings into a chart someone is supposed to watch.
Every decision waits on a person, or a round-trip to the cloud.
The data piles up. Most of it is never looked at again.
IoT sits on the side, disconnected from the product and stack.
Focaloid IoT

Data → decision

A model acts on the reading - an alert, an automation, a control.
The edge decides in milliseconds; the cloud decides across the fleet.
Telemetry lands on a real data foundation the AI can learn from.
It's wired into your product, cloud and stack - one path, end to end.
Why Focaloid

The software, the cloud, and the intelligence behind the device.

Device-to-cloud, end to end

We connect devices through the edge to your cloud and systems, reliably and securely - the path, not just a piece of it.

The data foundation for it

Pipelines and a real data foundation (Databricks), so device data is usable - not just collected and forgotten.

Intelligence at the edge

Because we build AI and ML, your IoT can decide and predict - not just report what a sensor saw.

13+ years, 200+ products

A long track record of shipping real software to production and keeping it running - edge to product, from one team.

Enterprise-grade by default

ISO 27001 processes and a partner stack to match - Claude Partner Network, Snowflake and Databricks - for the data-and-AI foundation underneath.

Partners & certifications
Member of the Claude Partner NetworkSnowflake PartnerDatabricks PartnerISO 27001 Certified
Who it's for

Built for teams with devices - and a reason for them to be smart.

“We have devices generating data and nothing useful happens with it.”
“We need to get device data into our cloud and product reliably.”
“We want decisions to happen on the device, not after a round-trip.”
“Our IoT is bolted on and doesn't integrate with the rest of our stack.”
“We're connecting a physical product and need the software and cloud behind it.”

Usually a CTO, VP of Engineering, a Head of Product or IoT, a Head of Data, or an operations leader in a connected-product business.

Where this leads

The edge is just the start of the path.

Device data flows into the cloud we build, the data foundation that makes it usable, and the models - from our AI Studio - that turn it into decisions. IoT rarely stands alone; the value is in what happens once the data lands.

Common questions

Before you book.

Do you build the hardware and devices?

We focus on the software, the edge and the integration - device and gateway software, data pipelines, cloud, and the intelligence. We work with your hardware or your hardware partners.

What is "edge intelligence"?

Running models or logic on the device or gateway, so decisions happen locally in milliseconds - rather than after a round-trip to the cloud.

Can you connect IoT data to our existing systems?

Yes - integration into your product, cloud, data platform and analytics is the core of what this is about.

Which IoT platforms and clouds?

We work across the major clouds and IoT platforms, with deep AWS experience - we'll fit what you run on.

What does "AI-native" mean here?

AI-assisted development across the edge, pipelines and integration - and the option to run AI at the edge itself.

Is it secure, device to cloud?

Security across the whole path - device, edge, transport and cloud - with ISO 27001 processes throughout.

How do we start?

A discovery call to map the path from device to decision, and find where the real value is.

Let's build

Make your devices do something.

Book a 30-minute discovery call. We'll map the path from device to decision - and what it takes to make the data act, not just accumulate.