We’re sparkd.AI

- a team of machine learning experts and Ph.D. level engineers

About Us

Our Dna is rooted in academia and our team is hyper-focused on the power of innovation. We have the network support of dozens of leading academics & researchers behind us.

Research & Development shapes our thinking. We’re dedicated machine learning experts to helping businesses leverage all that AI has to offer — so we can help propel our world forward. Together.

As proud contributors to corporate innovation for the past 20 years, our leadership team has pushed countless R&D projects in Fortune 500 Companies to the finish line — resulting in novel products & services.
Right now, we have the best Python developers out there helping our science team efficiently prototype, optimize, & scale tailor-made Hybrid AI solutions.

Our AI Approach

By offering a holistic, tailor-made solution built on four main principles,
we make seamless AI adoption — and real, sustainable results —
possible for every unique business. And not just possible, but inevitable.

Knowledge

Through our network in academia & our commitment to finding the newest breakthroughs in Machine Learning, we identify the right solution -- and provide the training you need to understand it.

Tools

With our in-house apparatus, we’re able to identify, build, and implement the custom-made solution seamlessly into your existing system. (We work with your unique needs -- not against them.)

Co-ordinated Workflow

We pride ourselves on being able to integrate smoothly into any team -- remote, scattered, or otherwise -- increasing productivity while teaching your workforce how to effectively, and cooperatively, manage the AI solution.

How We Work

Our Approach
The difference is in our sprints: Fast-paced. Thorough. Collaborative
1 Sprint = 2 Weeks, 3 Phases
Discover:

Formulate hypotheses for the problem; Validate them.

Define:

Set the AI solution’s architecture; implement pre-production models.

Scale:

Deploy the solution (into existing or Beta-test products); ensure scalability.

Our Approach

Phased Approach

Discover

Sprint: 1/1.
Duration: 2 Weeks.
Phase: 1.

Input:
Project Brief

Output:
• Validation of hypothesis
• Intricate core analysis


Approved

Define

Sprint: 1/1.
Duration: 2 Weeks.
Phase: 2.

Input:
Project Brief

Output:
• Benchmark of 3 solutions
• Defined prototype with baseline performances

Approved

Scale

Sprint: 1/1.
Duration: 2 Weeks.
Phase: 3.

Input:
Project Brief

Output:
• Validation of hypothesis
• Working prototype with baseline performances in terms of scalability

Approved

Start Your AI Journey Today

Explore - Solve - Fix








    Read our Privacy Policy to see how we use and process your data