Build AI

Once you have identified the opportunities for AI to improve your business, it's time to start building your AI solutions. Datasparq's AI Build services can help you with every step of the process, from design to development to implementation.

Datasparq’s AI build service

Our build services cover all aspects of AI development, including:

• Data platform and pipeline engineering
• Data preparation
• Model design and training
• Model deployment and integration
• Model monitoring and maintenance

Our team consists of best-in-class data scientists, engineers and product practitioners with a specialism in building AI solutions; whatever your AI needs, we're on hand to help.

Who is it for?

Whether you work in a well-established enterprise or a new, ambitious startup, AI can help. So, we can help, too. If we begin our engagement with a SparQshop, we’ll have a mapped out solution to get started on. Otherwise, if you already know what you need and have undertaken an AI strategy phase, it may be a suitable place to start.

The benefits: What you’ll get

The specific deliverables depend on your specific needs, but as a general rule, you’ll get:

• A best-in-class AI solution: Our team uses the latest AI technologies and best practices to build high-quality AI solutions that are reliable, scalable and secure. We’re practitioners—not PowerPointers; you’ll get a working AI solution, not just a strategy deck.
• An accelerated AI development timeline: Our team comprises AI experts—data scientists, engineers, product practitioners—who will help you build and deploy operational AI solutions efficiently.
• Time back for your in-house team: Our team will lighten the load for your internal team, so you have more time back.

How it works

There are typically three stages to a Datasparq build:

• Prime: We start by working with you to understand your business goals, challenges and data landscape. This helps us to define the requirements for your AI solution. If our engagement started with a SparQshop, we’ll use the outputs from that.
• Prove: Once we have a good understanding of your requirements, we design an AI solution that meets your needs. We consider a wide range of factors, including the type of AI model, the data requirements and the deployment environment. In the Prove phase, we typically run a pilot to prove the value of the solution.
• Productionise: Once the pilot is complete and the value is proven, we scale-up and roll out the solution; deploying the solution as part of your business-as-usual operations. Over time, we iterate and further develop the solution to continuously improve results.

How to get started

Send us a message using the contact form below. We’ll find a time to schedule a preliminary call to understand your requirements and objectives—and make sure that starting with a build phase is right for you.