Examine the data
Availability, representativeness and annotation quality are checked before training a model.
[ DATA & SENSOR ANALYTICS ]Let the data speak.
Let the data speak.
Without making it say everything.
Image analysis, classification and forecasting: we explore machine learning approaches based on your data, its quality and the decision you want to improve.
◉ sillage. CONNECTED SITE
FIELD VIEW
Everything in plain sight.
●SENSOR 01●●
Temperature21,4°CWithin target range
Humidity64%Last reading: 10:42
Equipment08/ 08All connected
[ WHAT WE BUILD ]Your context sets the course.
Your context sets the course.
Our work gives it shape.
A first conversation helps clarify your priorities and the project’s constraints. We then define a scope, the skills required and the deliverables to approve together.
A team in Bordeaux.
Direct contacts.
Direct contacts.
Compare approaches
A simple method serves as a baseline to judge the real gain of a more complex solution.
Monitor in real conditions
Performance can drift as data changes. Monitoring is part of the setup.
[ HOW WE MOVE FORWARD ]Clarity.
Clarity.
At every stage.
Understand
Uses, constraints and expected outcomes. We share the same starting point.
Design
User journeys, mock-ups, a prototype. The idea becomes concrete enough to discuss.
Develop
Short cycles and releases to test. You see the product take shape.
Run
Deployment, hosting, maintenance. The product carries on with its users.
[ PICTURE IT ]The Sillage concept.
The Sillage concept.
An idea given shape.
◉ sillage. CONNECTED SITE
FIELD VIEW
Everything in plain sight.
●SENSOR 01●●
Temperature21,4°CWithin target range
Humidity64%Last reading: 10:42
Equipment08/ 08All connected
FICTIONAL CONCEPT · IoT
The field is talking. Listen to it.
An IoT ecosystem demo for tracking environmental sensors. The interface shows readings, equipment status and alerts to review.
Explore the concept[ USEFUL QUESTIONS ]Before
Before
getting started.
Do we already need a large dataset?+
The amount needed depends on the task. We start by examining the available examples and the options for reusing an existing model.
How do I start a data & sensor analytics project?+
Share your context, the users involved and the existing tools. We’ll start by clarifying the need before proposing a scope and an estimate.
How are budget and timeline set?+
They depend on the features, integrations and constraints identified. Scoping produces an explicit estimate; no fixed timeline is announced without analysis.