Services
AI Development
Build Custom AI Solutions
AI: A strategic asset… but a challenge to integrate
In a world where digital transformation is accelerating, artificial intelligence has become a key driver of productivity and innovation. At Baseline, we don’t just sell technology, we deliver tailored business solutions. Each AI solution is designed with you, for your needs, based on your data, your business goals, and your specific context and challenges. Our commitment: a responsible and fully integrated technological solution that uses the right tools to improve your company’s operational efficiency.
A Technical Integration “Puzzle”
- Traditional IT systems: Existing infrastructures are often not ready to host AI solutions, leading to unexpected costs and delays. You need to know how to approach it.
- Difficulty creating value from data: The large volumes of data often needed for artificial intelligence are spread across different systems and usually in hard-to-use formats (e.g., PDFs). This complicates AI solution development.
- Ongoing maintenance and optimization: Data evolves over time, and so do AI models that learn from it. An AI system that remains static and is not monitored can become ineffective over time and lose value for users.
A Bill That Quickly Adds Up
- Lack of expertise: Qualified profiles (data scientists, AI engineers) can be hard to attract and retain, and can be costly.
- Infrastructure hard to set up: Training AI models requires the interaction of many system components like APIs, servers, GPUs, databases. Poor architecture can compromise maintenance, security, and scalability.
- Constantly evolving needs: An AI solution must be updated regularly to remain effective, generating hidden costs.
A Promising Technology, but Underused
- Pilot projects that don’t scale: Companies invest in proofs of concept that don’t deliver expected results. These prototypes are never rolled out at scale.
- Lack of alignment with business needs: AI initiatives often fail due to a lack of change management planning and coordination between technical and operational teams.
- Internal learning curve too slow: Even with open-source libraries, AI approaches and models are often difficult to fully grasp, making it hard to understand their pros and cons, and to generate real value.
Off-the-Shelf AI or Custom Solutions: The Trap of Easy Choices
Ready-to-Use Solutions That Don’t Fit
- Lack of flexibility for specific needs: Large SaaS platforms that integrate artificial intelligence often offer little flexibility (even if they appear to) when it comes to adapting to a company’s unique, real-world context.
- Lower performance: A generic AI is often less efficient than one designed for a specific task and context.
- Vendor lock-in: Proprietary AI limits the ability to customize or evolve the solution. It locks the company into a closed ecosystem.
Risks Related to Privacy and Ethics
- Protection of sensitive data: Many AI approaches require large volumes of confidential data, raising serious questions about security and compliance.
- Evolving and complex regulations: Navigating GDPR, Québec’s Law 25, and other local or sector-specific regulations makes AI deployment more complex.
- Algorithmic bias and opaque decisions: AI developed without a strong understanding of its limitations can produce discriminatory or difficult-to-explain outcomes. This undermines decision quality and legitimacy — and creates reputational and legal risks for the organization.
A Lack of Control That Slows Innovation
- Limited customization: Generic AI solutions don’t always allow businesses to tailor models to their specific needs.
- Reliance on external updates: Updates and improvements to models are controlled by the provider, which can slow down internal innovation.
- Hard-to-measure ROI: Without clear objectives and appropriate metrics, the real impact of AI remains vague, which hinders team buy-in and long-term investment.
Baseline: Your Partner for Custom AI Development
AI Tailored to Your Specific Needs
- Custom Development
Unlike off-the-shelf solutions, we build AI systems that are tailored to your business goals and context, leveraging existing technologies or creating new ones as needed.
- Autonomy and Scalability
While we're always here to support you, our solutions and approach are designed to make you as autonomous as possible when it comes to improving and maintaining your AI tools.
- Seamless Integration with Your Systems
We ensure that the AI integrates smoothly with your existing IT systems and infrastructure, no friction, no hassle.
Advanced Expertise for Optimal Performance
- Multidisciplinary Expertise in AI and Data Science
Artificial intelligence includes dozens of fields (e.g. natural language processing, operations research, computer vision). Each Baseline expert brings two to three specific areas of expertise to solve your challenges effectively.
- Holistic Approach
Our team of business analysts, software engineers, AI technical experts and developers supports you from ideation to deployment and ongoing maintenance.
- Performance and Robustness
We develop high-performance algorithms and data pipelines to ensure reliable and accurate AI model predictions.
- Transparency and Interpretability
Our solutions move away from the "black box" approach, offering interpretable AI models that support informed decision-making.
Security, Compliance and Full Ownership
- Maximum Data Protection
Secure hosting and cybersecurity best practices ensure your information stays confidential.
- Preserved Intellectual Property
You retain full ownership of your models and data—with no dependency on external vendors.
- Full Control
We provide the tools and training you need to confidently operate and manage your AI independently.
Why Choose Baseline?
Cutting-Edge AI Expertise
- Our experts specialize in advanced algorithms and various AI approaches (e.g., deep and machine learning, reinforcement learning (RL), natural language processing (NLP), computer vision, etc.)
- Experience across multiple sectors: finance and actuarial science, physics, public administration, mining, manufacturing, logistics, agriculture and transportation, e-commerce
- Integration: expertise, industries, clients, projects
End-to-End Support
- From design to production, we provide comprehensive technical support
- Agile methodology tailored to AI projects, with short sprints and regular releases
- Training for internal teams to maximize adoption of AI solutions and knowledge sharing
- Integration: transformation, teams, organization, decision-making
Tangible and Measurable Results
- Risk management: prototyping and incremental approach to reduce development risks
- Case studies and feedback: productivity gains, cost reduction
- Commitment to the performance of developed models
- Focus on short-term value generation, proactive management of technological risks through AI, and building sustainable competitive advantages
- Integration: results, performance, impact, added value
Our AI Development Method
Developing a high-performing and sustainable AI solution is not improvised. At Baseline, we follow a structured and agile approach that places you at the heart of the process.
We study your reality, challenges, and objectives to co-build with you a business project that leverages the unique opportunities presented by artificial intelligence. By aligning business vision and technological vision from the outset, we avoid the trap of prioritizing technology without strategic alignment.
We materialize the initial idea expressed by the framework by identifying system requirements, both functional and non-functional, as well as technical, regulatory, organizational, or other constraints applicable to the system. We design the application architecture and verify that the necessary data is accessible and sufficient.
The overall vision expressed by the innovation framework and the specification document is broken down into a series of development stages designed to balance risk management and continuous delivery of features with real added value.
Our prototyping phases aim to validate the AI-based technical approach and quickly adjust the project trajectory as needed. Our prototypes are usable and designed to provide the foundation around which the rest of the system will be built.
At this stage, the rest of the application is built around the AI prototype to provide users with the full set of requested features. These stages also include integration with your existing systems (ERP, CRM, business tools, etc.). We use proven iterative and incremental software engineering methods that favour building flexible and scalable systems.
At this stage, the goal is to make the features developed in previous stages more widely available. The system infrastructure is solidified, and observability and monitoring tools are implemented to quickly detect and fix any potential failures.
We train your users and internal development teams on the use, improvement, and maintenance of the AI solution. This helps you gain autonomy with clear documentation and tailored support. Rest assured, we are never far if you need us!
We remain available after deployment to ensure the stability, security, and adaptability of your solution. If needed, we can update, integrate new features, and provide responsive technical support.
AI Solutions Development - Q&A
What types of projects can be done with artificial intelligence?
Artificial intelligence offers a wide range of possibilities for businesses in all sectors. Among the common projects we undertake at Baseline:
- Automation of business processes through machine learning
- Personalized recommendation systems for your clients
- Predictive analysis and forecasting to optimize your operations
- Automatic natural language processing for document analysis and customer feedback
- Computer vision systems for quality control or object recognition
- Custom chatbots and virtual assistants
- Fraud detection and intelligent security systems
- Optimization of production processes and supply chains
Each project is unique, and we tailor AI to your needs, whether it’s to improve customer experience, optimize your operations, or create new products and services.
Why choose a customized AI solution rather than an off-the-shelf AI software?
Off-the-shelf AI solutions can seem attractive because of their quick deployment, but they have several limitations:
- They are designed to meet generic needs and not the specifics of your context
- Their integration with your existing systems is often costly
- You have little control over the solution and its evolution
- Data often remains under the provider’s control without the possibility to access it
A customized solution, on the other hand:
- Provides a high level of performance and accuracy
- Fits harmoniously with your processes, technological environment, and specific needs
- Gives you full control over the application, AI solution, and data/li>
- Evolves with your business and needs
- Offers a unique competitive advantage that your competitors cannot simply buy
At Baseline, we create tailor-made solutions that maximize added value for your business, with a generally superior long-term return on investment.
Can we train AI with our own data?
Absolutely! Machine learning is a branch of artificial intelligence that aims to learn from data. Using your own data is therefore essential to develop AI relevant to your project. Here’s how we proceed:
- We start with an audit phase of your data and conceptualization of the AI application. We set up data collection and transformation processes that comply with privacy and security standards (GDPR, etc.)
- If needed, we enrich your data with external sources and generate synthetic data using AI techniques
- We use this data to train models specifically adapted to your context and deploy them in your technological environment
- We establish evaluation and monitoring mechanisms so that the AI solution remains robust over time
The result is an AI system that understands your sector, your clients, and your specific challenges, offering performance clearly superior to generic solutions. Moreover, you retain ownership of your data and the developed models.
My company already uses business software: can we integrate AI into it?
Yes, integrating AI into your internal tools is entirely possible provided these systems can be queried. This is one of our specialties at Baseline.
What technologies and programming languages do you use to develop your AI solutions?
At Baseline, we select the most appropriate technologies for each project, prioritizing robust and scalable solutions. Our technology stack includes, but is not limited to:
- Languages: Python, R, Java, JavaScript
- AI and ML frameworks: TensorFlow, PyTorch, Scikit-Learn, Hugging Face
- Big Data: Hadoop, Spark, Kafka
- Cloud: AWS, Google Cloud, Microsoft Azure
- Databases: SQL and NoSQL (MongoDB, Cassandra, Cosmos DB, etc.)
- Visualization tools: Tableau, Power BI, D3.js
We stay constantly up to date with the latest technological advances and adapt our stack according to the field’s evolution. Our goal is to offer you the most efficient and sustainable solutions without limiting ourselves to any particular technology.
How long does it take to develop an AI solution adapted to my company?
The development time varies considerably depending on the project’s complexity, data availability, and the extent of the required integration. Here are some benchmarks:
- Simple and focused projects: 1 to 2 months
- Medium complexity projects: 3 to 4 months
- Complex or large-scale projects: 6 to 18 months
Our agile approach allows us to deliver results through successive iterations. Thus, you can generally start benefiting from AI’s first contributions well before the complete project is finished. We define a realistic timeline together during the initial phase and keep you informed of progress throughout development.
What is the average cost of an AI development project?
The cost of an AI project varies greatly depending on its complexity, the initial state of your data, and necessary integrations. It is best to talk to our experts for a better idea.
Are there grants or subsidies to finance an AI project?
Yes, several programs exist to support innovation projects in Québec..
Is it possible for my AI model to become obsolete? Do you offer follow-up?
Data evolving over time, changes in data definitions, or environmental changes can cause AI models to underperform. However, it is rare for an AI model to become obsolete in the short term. By setting up evaluation mechanisms, we can quickly detect such changes and make informed decisions.
Can you evolve the solution and provide maintenance? Can you evolve the solution and provide maintenance?
We can agree to integrate scalability and maintenance into your AI projects, including:
- Monitoring performance and making necessary adjustments
- Retraining models with new data to maintain their robustness
- Conducting technological watch to identify potential improvements
- Supporting the evolution of your AI system to adapt to changes in your business
Our goal is to establish a long-term partnership, ensuring that your AI investment remains relevant and continues to generate value over time. We offer several follow-up packages adapted to your needs and budget.
More to explore
AI consulting
From strategy to implementation
At Baseline, we help businesses adopt and integrate AI with a structured approach tailored to their needs. From defining your AI strategy to developing custom solutions, we support you in leveraging artificial intelligence to optimize operations, enhance decision-making, and drive sustainable innovation. Benefit from personalized and responsible guidance to make AI a true growth accelerator for your business.
Want to learn more about AI applications?
Download our AI case study card game
Learn more
AI training
Business AI training: Turn challenges into opportunities
Artificial intelligence is transforming industries, but without the right knowledge, companies struggle to harness its full potential. Whether it’s optimizing operations, improving decision-making, or driving innovation, mastering AI is essential to staying competitive. Investing in AI training for your teams ensures they have the skills and confidence to effectively implement AI solutions aligned with your business objectives.
Learn more