ML & AI Engineering
Taking your AI projects from idea to production
ML & AI Engineering
Taking AI projects from idea to production
Complex issues seldom have simple “plug and play” solutions. Through personalized services, Inceptive helps you define the objectives and requirements of your solution. We select or develop the technologies and tools best suited to your use cases and business strategies, and work closely with your teams to build reliable and high performing solutions.
What is Machine Learning?
Machine Learning (ML) is a set of artificial intelligence techniques that enable a computer system to learn, adapt and improve over time. To do this, the system processes large amounts of data to identify underlying patterns, from which it develops a model. Based on the model, the system is then able to make predictions and take decisions in order to achieve specific goals.
Machine Learning solutions are used to meet businesses’ many automation needs.
Data Mining
We develop custom algorithms that manage, analyze, sort and structure large amounts of raw data. They uncover meaningful information that informs decision making and product/process optimization.
Visual Analysis
By combining Computer Vision and Deep Learning technologies, we develop optical analysis and visual recognition solutions (based on characters, images or videos), which can detect, identify and classify documents, images or objects.
Data Mining
We develop custom algorithms that manage, analyze, sort and structure large amounts of raw data. They uncover meaningful information that informs decision making and product/process optimization.
Visual Analysis
By combining Computer Vision and Deep Learning technologies, we develop optical analysis and visual recognition solutions (based on characters, images or videos), which can detect, identify and classify documents, images or objects.
Predictive Analysis
We create and train neural networks to identify underlying patterns in past data to predict and anticipate future needs (inventory, maintenance…), behaviors (purchase, risks…) and trends.
Language Processing
We use Natural Language Processing and Machine Learning to extract meaning and information from language (written or spoken) in order to automate tasks such as text categorization, translation, sentiment analysis, etc.
Predictive Analysis
We create and train neural networks to identify underlying patterns in past data to predict and anticipate future needs (inventory, maintenance…), behaviors (purchase, risks…) and trends.
Language Processing
We use Natural Language Processing and Machine Learning to extract meaning and information from language (written or spoken) in order to automate tasks such as text categorization, translation, sentiment analysis, etc.
Over the past few years, Machine Learning has been largely democratized. It now allows companies of all sizes and in most sectors to optimize their business processes, reduce costs, improve services and enhance customer satisfaction.
There is a wide variety of ML/IA solutions, both in their technological makeup and in the way they operate. Inceptive guides you and develops solutions tailored to your specific needs, leveraging recent advances in technology and making the most of your investments.
Who is Machine Learning for?
No matter the AI readiness level of your company, we can advise you on the suitability, feasibility and performance of a solution based on artificial intelligence and machine learning.
you have identified a need/opportunity
We analyze its parameters and evaluate the suitability of an AI-based solution
you have an automation project
We help you formalize your project and assess its viability through a POC
you already have a ML/IA solution
We finalize, optimize or rethink an incomplete or underperforming solution
Elements of an IA solution
Development stages of an AI solution
CONSULTING
To maximize a project’s chances of success and reduce the risks often associated with ML/IA projects (especially those related to data scarcity), we start by conducting a feasibility study. We take the time and work closely with you to define the requirements and objectives of the project. We analyze the business process(es) involved, assess the availability and quality of data and consider whether additional data sources can be leveraged. At the end of this preparatory phase, we deliver a report and a roadmap detailing the solution’s development scope, the technologies involved and anticipated results.
DEVELOPMENT
Based on the available data and the defined objectives, we select and elaborate the most suitable algorithm(s) to develop the Machine Learning model. Data quality is essential for efficient modeling, we therefore perform any necessary data treatment (collection, cleaning, structuring). Finally, we develop, evaluate and refine the ML model until it reaches the performance and reliability objectives.
INDUSTRIALIZATION
To transform the validated ML model into an operational AI solution, we design an automated ML pipeline (from production data collection to model monitoring) tailored to the specifics of your facility. In consultation with your teams, we integrate the solution into your systems and ensure that the integration does not impact the performance of the model nor the integrity and operation of your informational ecosystem.
Use Cases
Real Estate
Price Prediction
A national network of real estate agents wants to automate the valuation of rent for newly managed rental properties.
Inceptive used the descriptive data of real estate properties rented in the Grenoble area. In order to enrich the initial dataset, Inceptive added open data from INSEE, notably the socio-economic information of the IRIS.
The model evaluates the rental value of a property within a 15 € margin of error. The model is also able to provide a confidence rating in its prediction.
Banking
Document Classification
A network of bank branches wants to automate the processing and classification of incoming postal mail.
Inceptive created a supervised classification algorithm based on a history of 30,000 pieces of mail classified into 40 categories.
Upon receipt of a document by Inceptive Server, the model performs the classification and returns the result (document class) in a few hundredths of a second, with a 98% success rate.
Maintenance Services
Event Prediction
An IT service company wishes to optimize the coordination of its missions by estimating the probability of an on-site intervention and its duration.
Inceptive created two predictive algorithms based on three years of support operations data.
The model predicts the intervention of a technician on site with a 95% success rate. A new information collection method at the time of customer support was recommended to improve the prediction of the intervention duration.
Marketing & Communication
Natural Language Understanding
A communications agency wants to isolate and analyze comments about its clients’ products in influencer videos on YouTube.
Inceptive interfaced a language understanding model to YouTube’s APIs to continuously analyze and classify comments (negative/positive). The model also provides the reasons for its classification.
The communication agency is able to handle a large volume of comments and to adjust its communication strategy for the launch of new products.
Why Inceptive?
Beyond our technical expertise and our robust AI development and integration skills, our engineers and data scientists conduct a continuous technological watch which allows us to constantly update our tools and practices to always deliver state-of-the-art solutions.
Internal R&D has enabled us to develop proprietary tools including our own Data Mining and Machine Learning platform: Igloo. These tools allow us to be technologically independent and ensure that you retain full control and ownership of your data.
We adhere to a transparent development process on all aspects of a project (technologies, hosting, regulations, etc.) and ensure easy and open communication during the entire project through a designated contact person.
