The no-code platform teaching old machines a new trick: how to talk - and how to listen.
Somewhere on a plant floor right now, a motor is running a few degrees hotter than it should. For most of industrial history, nobody would have known until it failed - on a Tuesday, mid-shift, expensively. Today a small wireless sensor notices, a no-code dashboard lights up, and an AI engine named SOFIA suggests doing something about it before the smoke. The machine, in effect, asked for help. That quiet conversation - between metal and software - is the entire business of Webee.
Webee is a Silicon Valley company in the unglamorous, enormous business of industrial IoT. It connects the equipment that runs factories, farms, food lines, and oil fields, then turns the resulting torrent of data into something a plant manager can actually use. The pitch is almost suspiciously simple: do it without code, without a year-long integration project, and without an engineering degree per dashboard.
Most software wants you to learn it. Webee wants to learn your factory.
The company was founded in 2013 by Lucas Funes and Ana Cecilia Flores - an electronic engineer turned serial entrepreneur and a former Xerox and Navistar executive. Long before "AI for industry" became a conference track, they were betting that the hardest part of the industrial internet was not the sensors or the algorithms. It was the gap between the people who run machines and the people who write code. Webee's whole product is a bridge across that gap.
Webee is a turnkey, no-code Industrial IoT and AI platform. You attach wireless sensors, drag together a dashboard, and let the system watch the things that matter - uptime, energy, water, emissions, machine health.
OEE tracking, downtime monitoring, and process optimization that show where minutes - and money - leak out of a line.
Predictive maintenance and machine-health monitoring that flag failures before they become unplanned outages.
Energy optimization, water monitoring and leak detection, and emissions tracking for eco-compliance.
Plug-and-play sensors and LoRaWAN connectivity retrofit legacy and remote equipment without heavy rewiring.
A visual datastream processor and app/dashboard builder so non-engineers can ship IoT applications fast.
The AI engine that turns raw data into real-time predictions and recommendations a human can act on.
Webee gave its artificial intelligence a human name, which tells you how the company thinks about it - less black box, more colleague on the plant floor. SOFIA takes the firehose of sensor data and answers the only questions a manager really has:
FIG 2. SOFIA does not run the factory. It just refuses to let the factory keep secrets.
Traditional industrial IoT projects die in the gap between a promising pilot and a deployed system. Wiring, integration, custom code, consultants - the proof-of-concept works and then stalls for a year. Webee's central promise is that its no-code, turnkey approach collapses that timeline. The bars below are illustrative of the gap the company is selling against, not audited benchmarks.
FIG 3. The bar that matters is the short one. Approximate, illustrative of vendor-stated speed-up.
Electronic engineer with a master's in innovation and 20+ years in enterprise tech. A serial entrepreneur and self-described IoT thought leader steering Webee toward Industry 5.0.
Former Xerox and Navistar executive driven by the social impact of disruptive technology. Named one of Silicon Valley's Women of Influence in 2021.
SOFIA transforms raw industrial data into actionable insights, empowering decision-makers to optimize operations, reduce costs, and improve sustainability.- Webee, on its AI engine
Funes and Flores start Webee on a bet that industrial IoT's real problem is the gap between machines and the people who run them.
Webee takes a $2M investment from M12, Mayfield, and Pivotal Ventures, and is recognized for Best US Enterprise SaaS.
The turnkey platform launches publicly with its 10x faster POC-to-production promise. Flores named a Woman of Influence.
A $300K venture round keeps the platform and the SOFIA AI engine expanding across manufacturing and sustainability use cases.
OEE, downtime, and process optimization for connected production lines - including a reference Fortune 50 CPG leader.
Supply-chain visibility and sustainability to cut food loss and resource waste from farm to factory.
Oil and gas, mining, chemicals, and steel - monitoring assets, energy, water, and emissions in real time.
The cleanest factory is the one that knows itself.
Winner of the competition run with Mayfield and Pivotal Ventures - a $2M investment and a Best US Enterprise SaaS nod.
Co-founder Ana Cecilia Flores honored by the Silicon Valley Business Journal.
National coverage of a lean startup taking on industrial-software incumbents.
Recognized in World Changing Ideas, IoT Breakthrough, and SaaS award circuits.
Interviews and product demos live on Webee's channels. Start here:
External links open on their original sites.