Company Website: https://exm.gr
Company Email: firstname.lastname@example.org
Funding State: Bootstrapped
- Environment & Energy (GreenTech, CleanTech)
- Cloud Computing
- Data Analytics - Big Data
Ex Machina (EXM) delivers environmental monitoring IoT solutions to weather-sensitive industries. EXM’s solutions are powered by machine learning for predictive analytics and custom sensor node hardware for weather/air/water/noise/soil sensing. EXM enables enterprises to understand and predict how weather and the environment affects their field of activity and vice versa.
Solution & Product
We provide a weather and environmental predictive analytics SaaS enhanced by our unique weather and environmental sensor hardware.
Our sensor nodes are designed to be low-cost, energy autonomous, easy to deploy and maintain, making large scale deployments viable, providing quality real time environmental and weather data. Our nodes connect to a plethora of environmental sensors for monitoring weather, water, soil, air-quality and noise parameters, while supporting multiple wireless technologies for uploading telemetry to our cloud IoT platform.
Our cloud IoT platform utilizes sensor telemetry data to deliver highly accurate forecasts using machine learning, and correlates environmental data with customer’s data in order to forecast critical weather-sensitive business indicators. (e.g. energy productions forecasts for wind power plants, energy demand forecast for utilities, flood forecast for municipalities, etc). WeatherXM is our basic cross-industry horizontal service that builds upon existing weather forecasts (multi-source) identifying the best one per customer’s location using on site weather station data. ForecastXM is our vertical service which correlates weather with industry and use-case specific insights/resources/KPIs as required by our customers.
Innovation & Scalability
Competition offers weather related predictive solutions as part of large digital transformation, in custom projects with large budgets and extended time-frames. Our differentiation lies in offering a lightweight, plug and play, open IoT solution that combines our own cost-efficient environmental sensing hardware technology with advanced environmental analytics while supporting a wide range of 3rd party sensors, overcoming vendor lock-in for our end customers.
Predictive analytics for weather-sensitive industries is a huge market, thus the evaluations, and acquisitions of relevant companies are substantial (IBM acquired weather co for $1 billion). Our experience with current customers indicates that as the predictive analytics ecosystem matures more people will seek advanced forecasting SaaS.
Traction & achievements
We have bootstrapped our way so far, taking advantage of multiple grands, awards, accelerators etc and have grown organically, but our most important achievement is gaining the trust of bespoke industrial customers such as:
ADMIE (in collaboration with IBM HELLAS SA)
ΕΤΑΙΡΕΙΑ ΠΑΡΟΧΗΣ ΑΕΡΙΟΥ ΑΤΤΙΚΗΣ
Protergia (ΜΥΤΙΛΗΝΑΙΟΣ Α.Ε.)
ΔΙΕΘΝΗΣ ΑΕΡΟΛΙΜΕΝΑΣ ΑΘΗΝΩΝ Α.Ε.
WoodPLC - Halifax Port Authority, Canada
LAMDA Development S.A
OLYMPIA ODOS A.E.
Cosmote (ΟΡΓΑΝΙΣΜΟΣ ΤΗΛΕΠΙΚΟΙΝΩΝΙΩΝ ΕΛΛΑΔΟΣ Α.Ε)
Municipality of Trikala
National Centre for Scientific Research “Demokritos”
HCMR Hellenic Centre for Marine Research
Team & Why Us
Manolis Nikiforakis BEng, MSc, IoT solution architect and full-stack software & hardware developer with 15 years experience in ICT. Vassilis Chryssos MEng, MSc, environmental engineer, ODI open data certified trainer and co-founder of community broadband network Sarantaporo.gr. Lead Dev. Stratos Theodorou MEng, MSc full-stack and mobile developer, UI/UX expert. Together with a team of skilled engineers and data scientists, Ex Machina has become a real Deus Ex Machina in the weather forecasting drama.
We are growing with the support of our customers, not currently fundraising.
Environmental IoT and predictive analytics for weather-sensitive industries.