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Our Services

Your Custom
Data Science Team

Custom data science teams enable accelerated development of AI enabled applications
Data Science

Deliver the best user experience with the right tool! Data Science methods offer greater insight that cannot be gained using standard statistical tools.

We offer Data Science on demand!
Now you do not need to have an in-house data science team.

Accelerate Access to AI

Complex AI applications need dedicated teams and can be quite expensive, not to mention the lack of talent and process of hiring the right people. We build your custom team for the duration you require with high caliber engineers and PhD’s with the right AI skill sets.

Start using AI today!

Cost Effective

Save up to 70% cost of your AI team compared to the US and Canadian Markets with comparable AI resources.

Save time and money with the recruitment. Agile scale up or down based on your project’s needs. Leverage the latest technologies and the most powerful tools!

Industries Served

healthcare systems benefit from AI applications logistics can be more effective with machine learning hr-tech benefits from NLP and recommendation algorithms

retail & ecommerce use forecast algorithms powered by machine learning financial insurance security

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Our Process

  • Understand the Problem &
    Identify Enterprise Goals
  • Build Custom Teams
  • Develop & Deliver

What is
Data Science as a Service?

Data science as a Service (DSaaS) is a form of data processing service by an outside company. In this service, data from advanced analytics applications are processed by data scientists or a data science team on behalf of corporate clients for professional purposes.

DSaaS providers collect customer data, prepare it for analysis, run analytic algorithms on the refined data, and send the information generated by the algorithms back to the customer. DSaaS typically requires data uploaded to a cloud database or big data platform, where the service provider's team of data engineers and data scientists can work. Alternatively, the provider can deploy a standalone server instance compliant with HIPAA and GDPR for data analysis.

Data Science as a Service offers on-demand access to an experienced data science team

Organizations are increasingly turning to predictive models, data mining, and other forms of analytics to gain beneficial business insights. Benefits of a DSaaS Data science as a service is a potential way for organizations to address the shortage of data scientists and other skilled data analysts. Because maintaining an in-house Data Science team is costly.

DSaaS allows organizations to access analytics resources for specific data science applications without hiring or training their analysts.

What is
Computer Vision?

Computer vision is part of Artificial Intelligence that mimics the human visual process to acquire information from images and convert that information into knowledge.

Today's main components of computer vision applications are: recognizing the objects, localizing and classifying them, and segmenting the pixels belonging to that object. These four areas of modern computer vision find applications in web applications (QR codes, social media), smartphones (face detection, scene recognition), Medical Imaging (CAT/MRI), Insurance and Financial (inspection, fraud detection, payment processing), Optical Character Recognition (document automation), Security (surveillance, crime), Education (e-learning), Real estate (3D image reconstruction), and many other areas that use image, movie or related data.

What is
Machine Learning?

Machine learning is a subset of artificial intelligence. The main difference between conventional statistics and machine learning algorithms is that in machine learning outcome of a process is presented to the algorithms to predict the nature of the process.

This approach brings a new paradigm to solving problems, enabling us to solve the problems with algorithms that are not explicitly programmed for a particular process. These algorithms learn from the data and discover the process.

Machine learning finds patterns and correlations in large datasets and trains algorithms to make the best decisions and predictions based on this analysis. Machine learning applications get better the more you use them, and the more data you have at your disposal, the more accurate they become. In machine learning, algorithms are trained to classify or predict and uncover key insights in data mining projects. These insights drive decisions within applications and the organization the data to answer them. Machine learning applications are all around us, in our homes, shopping carts, entertainment media, healthcare, and more.

How do we work?

DataSpeckle is an Artificial Intelligence company focusing mainly on Machine Learning, Computer Vision, and Natural Language Processing applications, chatbots for healthcare, dentists, medical clinics, retail, customer service and other areas. We offer teams of Machine Learning, Computer Vision, Natural Language Processing (NLP), Deep Learning, Data Engineering, Digital Transformation, Server-side and Web (Full-Stack engineering) engineers in North America and Europe.

We provide services in the following areas: Digital Transformation, Automation, Aviation, Finance, Insurance, Health, Medical imaging, Logistics, Supply Chain, Security, Retail & Commerce, Document Automation, Business Analytics, Predictive Business Analytics, Demand forecasting, Time Series estimation (Time Series Analysis), Price Optimization, Mobile automation, and Image Processing Object Detection/Localization.

In the demanding world of Artificial intelligence the need for high skilled team members is evident. Hiring the right people and the whole process is time consuming and costly.

We build your team by carefully examing your project and the required skill sets of the team member. The team may include any of the following depending on your needs: Data Scientists, AI engineers, Backend/Frontend developers, or Data labelers.

As a data science as a service company, we work with our clients to understand their specific needs and requirements for their project. Based on these discussions, we identify the necessary skill sets and experience levels needed for the team. From there, we handpick a team of highly skilled data scientists, engineers, and other professionals with the right expertise and experience to match the project's requirements.

We ensure that each team member has the necessary skills and expertise to deliver quality work and that the team as a whole has a balanced skill set to tackle all aspects of the project. Our clients are involved in the team selection process and have the final say in approving the team. Once approved, we then manage the team and ensure that they have all the necessary tools and resources to deliver a successful project.
Absolutely! It's your project, it's your IP. We are just accelarating your process of development and deployment. All the IP rights, business ideas, content, documentation, and the source code remain under the sole ownership of the client.

As a Data Science as a Service company, we understand that intellectual property (IP) is important to our clients. We value our clients' trust and believe in building long-term relationships based on transparency and mutual respect.

We work with our clients to determine ownership of IP before any project begins. Our standard practice is to transfer full ownership of any IP related to the project to our clients upon completion. However, we are also open to negotiating ownership terms that work best for our clients.

Rest assured that we take the protection of our clients' IP very seriously and have strict security measures in place to ensure that all information and data are kept confidential and secure.
Teams can be managed by your project managers. If you do not have resources we assign a team lead for your team and will communicate with you via regular standups, meet with you as you request and provide scheduled progress reports.

As a data science as a service company, we have a well-established project management process in place to ensure that our teams are managed efficiently and effectively. Our project managers work closely with our clients to define project requirements and goals, and to ensure that timelines and budgets are met.

We also have a dedicated team of technical leads and data scientists who oversee the day-to-day work of our teams. Our technical leads have extensive experience in managing and working with data science teams and are responsible for ensuring that our teams are delivering high-quality work and meeting project goals.

Additionally, we use agile project management methodologies to ensure that our teams are able to quickly and efficiently respond to changing project requirements and deliverables. Our teams use a variety of communication and collaboration tools to stay in touch with each other and with our clients, including video conferencing, messaging apps, and project management software.

Overall, we take great care to manage our teams in a way that maximizes efficiency, collaboration, and high-quality work output while ensuring that our clients are fully involved and satisfied with the progress of their projects.
Projects evolve with time and you may require different skill sets at a different phase of your project. We constantly monitor the team and listen to your needs. We assess the contribution of each member continously and replace the team members as required.

As a data science as a service company, we understand that project needs can evolve over time and you may need to make changes to your team. We strive to provide flexibility in our team management, and we are open to discussing changes to team members as needed to ensure that we are meeting your project goals and objectives. Our goal is to work collaboratively with our clients to ensure a successful project outcome.
Education is one of our strengths. Knowing that maintenance is an impotant component of any successful Machine Learning project, we will not leave you alone after completion of your project. We can augment your team and educate your staff as needed so that you can be in charge of your project.

As a data science as a service company, we offer training and upskilling programs for our clients' staff to enhance their knowledge and skills in data science. Our team of experts can provide customized training programs that are tailored to the specific needs of your organization. We offer both on-site and remote training sessions, and we can work with your team to ensure that they have a thorough understanding of the concepts and tools used in data science. Our goal is to help your staff become more proficient in data science so that they can better support your organization's goals and objectives.
We see every project as beginning of a relationship. As such after completion of a project we have resources for their maintenance work and we would love to be in touch with you. Beacuse we want your next project!

As a data science as a service company, we do offer maintenance services for the solutions we provide. This includes ongoing monitoring, troubleshooting, and updates as needed to ensure the continued performance and reliability of the solution. Our maintenance services are tailored to each client's specific needs and can be scaled up or down as required. We also provide support and training to clients' teams to ensure they have the necessary knowledge and skills to maintain the solution in the long term.

Digital Adoption
Program

Embracing digital transformation and staying current with new technological trends is crucial for businesses to remain competitive and ahead of the curve. By keeping up with customer expectations and undergoing digital transformation, businesses can position themselves better for success in today's digital world.

The Canada Digital Adoption program is currently providing a grant of $15,000 towards the digitization of businesses. We would be delighted to assist you in your journey towards digital transformation.

The Canadian Digital Adoption program is currently providing a grant of $15,000 towards the digitization of businesses. We would be delighted to assist you in your journey towards digital transformation.

Canada Digital Adoption Program

The Canada Digital Adoption program is designed to benefit small and medium-sized businesses across Canada. It aims to help these businesses by providing financial assistance and resources to support their digital transformation efforts. By providing funding towards the digitization of businesses, the program aims to encourage the adoption of new technologies and enhance the competitiveness of Canadian businesses in the digital era.

Learn more about CDAP

Does AI have you thinking? Learn more.

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