AI-powered software solutions
Enabling your organization to make faster and better decisions.
Our engineers have taken the lead and successfully built image recognition, predictive maintenance and process prediction applications for demanding companies from various sectors.
Our custom solutions invariably achieve excellent results on our clients' use cases - some solutions are being made into publications and others are under patent review.
Although our focus is in helping industrial companies, we are able to serve companies from all sectors since data and artificial intelligence are sector agnostic.
We start by asking our clients, if you could predict the future value of one variable in your business, what would it be?
Labra AI executed the project expertly and achieved the set goals. We will be able to utilize the results in the future.
We can recommend Labra AI as a partner for artificial intelligence development.
The project in its entirety was a very positive IT project compared to other similar cases.
Their capability to learn and identify essential problems from our domain and case was really magnificent.
Based on our experience we can recommend Labra AI as a partner for artificial intelligence applications.
Working with Labra AI was a pleasure. Everything just worked and project was completed in promised schedule.
What data is needed to make predictions and how can the data be collected automatically and digitally?
RESULT: Dataset for Proof of Concept
Build a model efficiently which proves the solvability or insufficient solvability of the problem.
RESULT: Model and model accuracy
Build a solution with only core features which provides value for the customer.
RESULT: Minimum Viable Product
Build additional features to increase the value provided. Manage the solution or hand over to customer.
RESULT: Additional features
Sensors are needed to collect data from sunlight, rain, wind and temperature. Machine vision is needed to collect growth data.
RESULT: Dataset with sensor data and historical growth
Build a model on the previously collected dataset to predict plant growth and compare the model against historical growth.
RESULT: Model for predicting plant growth with accuracy statistics
A web app which gets data from the sensors, runs the data through the model and presents predictions to the user.
RESULT: Web app displaying real-time growth predictions
A web app where the customer is given watering recommendations for optimal growth based on weather forecasts.
RESULT: Web app displaying recommendations for optimal growth