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Photo: jonakoh _ / Unsplash
04 — AI, IoT & automation

AI and hardware that do real work.

We build features where software meets something hard — a language model, a sensor, a Bluetooth device, a calculation engine — and make them feel effortless to the person using them.

Discuss your project →
01Useful, not novelAI features tied to a real user goal, with guardrails and graceful fallbacks.
02Hardware that just pairsBLE apps that connect reliably, sync in real time and recover on their own.
03Less manual workAutomations that remove the busywork your team does every single day.
A Wi-Fi microcontroller chip held up in front of code on a screen
Photo: Amal S / Unsplash
Our approach

Intelligence that earns its place.

AI is easy to demo and hard to ship well. We start from a real job someone needs done — answering a question, recommending the right product, catching a problem early — and only then pick the model, the data and the interface that does it reliably.

The same goes for hardware: Bluetooth devices that pair on the first try, sensors that sync in real time and apps that recover on their own when the connection drops. Every feature ships with guardrails, fallbacks and monitoring, so it keeps working after the launch buzz fades.

In practice

What the work looks like.

A smart home hub sending a wireless signal across a model of a home
Devices that pair once and just workPhoto: Pham Nhat / Unsplash
A hand holding a phone app next to a smart lock on a door
Apps that talk to hardware in real timePhoto: Sebastian Scholz (Nuki) / Unsplash
A smart camera, plug, sensor and bulb on a white surface
Sensors, hubs and the software that connects themPhoto: Jakub Żerdzicki / Unsplash
Is this for you?

Hire us when…

Your team repeats the same task dailyWe automate the busywork — data entry, reports, follow-ups — so people focus on judgement calls.
You want AI that's actually usefulAssistants, search and recommendations grounded in your own data, not generic chatbots.
You have hardware that needs an appBLE companion apps, device dashboards and firmware-friendly APIs, from spec to store.
Your data is scatteredPipelines that pull everything into one place, cleaned and ready for decisions or models.
Scope

What's included.

Tools & stack
OpenAIAnthropicPythonNode.jsBLEMQTTn8n
01LLM features & AI chat
02Recommendation engines
03Bluetooth (BLE) device apps
04IoT data pipelines
05Workflow automation
06APIs & integrations
How it runs

From first call to launch.

  1. 01Prove it1–2 weeksA quick prototype on your real data, so you see it working before committing to a full build.
  2. 02Build4–8 weeksA production feature with guardrails, fallbacks, evaluation tests and cost controls.
  3. 03Integrate1–2 weeksConnected to your app, devices and tools, with your team trained to use and manage it.
  4. 04MeasureOngoingQuality, cost and usage monitoring, with regular tuning as your data and needs change.
See our full process →
In the wild
Page3Life
Case studyPage3LifeAn AI stylist that curates a complete look, and a companion app that pairs with the Page3 bottle to track hydration live.
Read the case study →
Questions

Asked often.

All FAQs →

Whichever fits — OpenAI, Anthropic, Gemini or open models — chosen for quality, cost and data-residency needs.

Other services
01Product & UX design02Web development03Mobile apps