De-risk your embedded AI projects
from the very first decisions
We help companies scope their embedded AI use cases,
validate feasibility and build early demonstrations.
De-risk your embedded AI projects
from the very first decisions
We help companies scope their embedded AI use cases,
validate feasibility and build early demonstrations.
A project can start from a relevant idea without a clearly defined problem. Technical choices then follow one another without a firm view of the expected value or success criteria. Costly paths may then be explored without addressing the right problem.
What seems feasible at first is not always so once faced with the project's constraints. Limited resources, integration requirements, safety or regulatory context can challenge the initial choices. This leads to late corrections that should have been anticipated earlier.
A project can move forward with technical choices that make sense separately, but prove inconsistent once combined. The risk is then discovering too late what needs to be reviewed, adapted or abandoned.
A demonstration can build confidence without answering the project's real questions. What has been validated in a limited setting does not guarantee that the solution will be viable in its real context.
Without clear direction toward a prototype, pilot or integration, a project can move forward without a clear endpoint. This lack of anticipation weakens later stages, even when the project seems to progress.
We help teams better scope the need, arbitrate technical choices and validate key assumptions before uncertainties start costing time, budget or credibility.
Assess your project 
In a product or piece of equipment, embedded AI takes the form of functions that detect, monitor, assist or trigger an action.
In a product or piece of equipment, embedded AI takes the form of functions that detect, monitor, assist or trigger an action.
Vision
Physical signals
Audio
Multimodal
Highly constrained systems
Embedded systems
Hybrid architectures
Connected and autonomous solutions
Let's discuss your need, constraints and the approach best suited to your project.
Schedule a call
Scoping workshop Scope We start the engagement with a stakeholder workshop to clarify the need, frame the objective and set a realistic level of requirements. This step helps select a priority use case and define clear success criteria.
Existing review Data and constraints We review the available data, existing assets, target deployment and project constraints. This step helps identify what can be used, what needs to be completed and what must be secured for the next stages.
Feasibility study Technical choices We test the technical options against the project and its constraints: performance, integration, complexity and risk. This step helps retain credible choices and better assess their impact on the whole project.
Recommendations Action plan We summarize the key findings from the engagement and turn them into concrete, clear and actionable steps. Depending on the project, this may lead to a proof of concept, prototype, pilot or integration roadmap.
For a robotic assembly cell, the goal was to integrate a position control function without increasing the robot’s cycle time. Our work helped clarify the use case, assess the available data and test the relevance of a multimodal embedded approach. This phase led to a first prototype and helped steer the next stage of the project toward integration.
Briefly describe your context, goals and main constraints. We will get back to you for a first exchange.
