Call Us: (855) LEMAY-AI


Rapid deployment of artificial intelligence for

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Our Services

Mix and match our expert skills for your unique project needs.

Machine Learning

Ingest and analyze data. Take advantage of the latest developments in artificial intelligence to enhance your product and capabilities.

Cloud

Deploy solutions to the cloud. Link up your enterprise to the Web, work remotely, and get your team connected. Upgrade your capabilities with project, document, and password management, CRM, ERP, dashboards, and much more.

Software Development

Develop, test and deploy custom software components.

Artifical Intelligence + Deep Learning

Artificial Intelligence

We leverage the newest deep learning technology platforms and frameworks for rapid prototyping and long-term support.

Solution Architecture

Let us help you in defining the tactical deployment of your product.

Cloud

Design and deploy cloud infrastructure.

Big Data

Scrape, process, and digest large datasets.

Security

Secure your infrastructure and reassure your clients.

New Product Development

Give your idea the greatest chance of success.

Intellectual Property

We have successfully prepared patents, trademarks, and IP contracts in collaboration with legal professionals.

Project Management

Collect requirements, define milestones, monitor progress and generate live reports.

Multi-Model Systems

Connect multiple models into a coherent, effective solution.

Our Process

Tailored solutions demand a rigorous process.

Our business model is to provide professional services to companies. Depending on your needs, we come up with a statement of work (SOW) and provide a quote for that work.
Some contracts are fixed-price, while others are set at an hourly rate, and some larger projects are open contracts where we bill our work up to a monthly cap.

Our sweet spot is in the high end of the market, focused artificial intelligence and machine learning. We look for projects with big data that require machine intelligence.
Typically these projects involve a cloud computing component.
We solve tough problems using the latest and greatest tools.

1

MEET

2

PLAN

3

DESIGN

4

TEST

5

DEPLOY

6

VALIDATE

About Us

Meet the team behind the brand.

Expertise counts. We know deep learning, software, cloud, infrastructure, business, and more. We are great at what we do, and we want to help you to be great at what you do.
We identify problems, sometimes problems you didn't know you had. With our structured approach to consulting, we know how to identify risks and inefficiencies, and close those gaps.
With a positive attitude about change that comes from loving what we do, we get the ball rolling within your organization. We provide objectivity in our assessment of your requirements, and that second set of eyes often picks up on risks and opportunities that were overlooked.

Mathieu Lemay

CEO & Co-Founder

With a strong background in management and engineering, Matt is a senior developer and project manager that has worked for multiple startups.

Daniel Shapiro, PhD

CTO & Co-Founder

Specializing in deep learning and recommendation systems, Daniel is an experienced developer with a strong focus on software.



We do the dirty work to solve your problem. Clients often reach out to us when they get stuck and need some muscle to get out of the mud.
Innovation is hard to quantify, but easy to recognize. We bring to the table new ideas that work.
We teach your team relevant information wherever possible so that you can learn from our experience. As they say, give a man a fish and you feed him for a day; teach a man to fish and you feed him for a lifetime.

Fun Facts

Our team continues to learn new skills and remain curious towards emerging technologies.

5
PATENTS
8
CERTIFICATIONS
35
PUBLICATIONS
36
TOTAL YEARS OF EXPERIENCE

Showcase

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E-mail Validation

See a demonstration of server-side validation tools able to ensure that an e-mail address is valid.

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Document Understanding

Word Embedding in Natural Language Processing detects semantic similarites between words.

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Sentiment Analysis

This artificial intelligence interprets Twitter posts to determine the overall impression of Twitter users regarding a given search term.

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Chatbots

A Dialogflow (API.AI) chatbot allows users to converse with a program through either text or speech.


Deep Learning Capabilities

Text similarity

Data: student essays

Determine the similarity of each paragraph to all the other paragraphs written by other students.
This helps catch cheating, but also helps identify students with similar ideas.

Image similarity

Data: crowdsourced images

Filter out banned image categories and duplicates containing only small changes.

Text summarization

Data: long research articles

Generate a one-sentence headline and a one-paragraph summary of an article.

Data summarization

Data: daily Analytics reports

Determine for each report which variables are most important according to the company's key performance indicators.

Object recognition in images

Data: factory line image files

Detect which object from a known set is in front of the camera,
and where it should be sent in the assembly line.

Natural language understanding

Data: sentence-length voice commands to robot

Determine a robot's path based on natural-language user commands.

Style transfer between images

Data: image pairs

Merge one image's style with another's content.

Sentiment analysis

Data: all emails to customer support

Use a word cloud to show the keywords and phrases that customers are contacting the company about,
and assess the mood of these customers in relation to these words.

Automated data segmentation

Data: lists of clients and related attributes

Create a self-organized clustering of clients into stereotypes
used by marketing departments to design ad campaigns.

Data visualization

Data: customer history files with over 300 dimensions of data per customer

Identify semantic similarities between customers thanks to 2D and 3D colored vizualisations,
along with filters and controls used by marketing and sales teams to analyze customer data.

Data extraction

Data: raw data, including information to be excluded

Use a data scraper to extract the desired data into a clean dataset.

Facial expression recognition

Data: camera images

Detect the mood of a shopper looking into a display case and adjust the ambient lighting accordingly.

Recommendation system

Data: user profiles

Determine which are the 3 best items to offer a client in order to maximize sales.
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Careers

We are always looking for top talent. If you can get stuff done, let us know.

Machine Learning Engineer

Ottawa, ON

Python Developer

Ottawa, ON

Accounts Manager

Toronto, ON

Accounts Manager

Montreal, QC

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