weeve
Lets factories and logistics teams turn raw sensor readings into usable business data by snapping together pre-built blocks instead of writing custom code for every machine.
🔗 Visit weeve
Description
Industrial equipment, warehouse sensors, and vehicle fleets generate huge amounts of raw data, but turning that into something a business system can actually use usually requires custom software for every device type — expensive and slow. weeve is a no-code integration platform (an "iPaaS" for IoT) that lets teams build data pipelines from machines and sensors to business systems by combining reusable, pre-built modules instead of custom-coding each connection.
The platform has three main pieces: weeve Manager, a no-code builder for assembling edge applications; weeve Agent, the runtime that actually executes those applications on edge devices near the machines; and a weeve SDK for developers who need custom components beyond the built-in library. It targets manufacturing, supply chain and logistics, insurance, and automotive/mobility use cases where connecting to physical equipment is the bottleneck, not the analytics itself.
💬 Our review
The short version: weeve is aimed squarely at industrial and logistics teams who need to get value out of sensor data without hiring a team of embedded engineers — the no-code angle is the whole point.
There isn't a widely known direct competitor with the exact same "no-code iPaaS specifically for industrial IoT" positioning — most alternatives are either general iPaaS tools (Zapier, Make) that don't handle industrial protocols well, or heavyweight industrial IoT platforms (Siemens MindSphere, PTC ThingWorx) built for large enterprise deployments with enterprise sales cycles and pricing to match. At €99/member/month for the Professional tier, weeve sits in a more accessible middle ground, with a free Starter tier to prototype before committing. The main unknown is company maturity — there's no visible customer roster, case studies, or GitHub presence to independently verify traction, so treat this as an early-stage vendor and validate directly with your own hardware before a production rollout.
📊 Global score
🤖 AI-enriched data
Starter gratuit ; Professional €99/membre/mois ; Enterprise sur devis
Pros
Approche no-code pour connecter du matériel industriel varié
Architecture modulaire et réutilisable
Positionnement accessible face aux plateformes IoT industrielles lourdes
SDK disponible pour composants sur-mesure
Cons
Aucun client ou étude de cas visible pour vérifier la traction
Pas de présence GitHub pour évaluer la maturité technique
Date de fondation non publiée