How we work

Artificial Intelligence is transforming the way businesses operate, but meaningful results require more than just technology. Without the right strategy, many AI initiatives fall short. The key is alignment: between your data, your infrastructure, and your goals.At Dot Square Lab, we build solutions that are customized to your unique context. No generic solutions or one-size-fits-all advice, just focused, practical approach that deliver real value.We believe good teams make your life easier. Guided by our Pragmatic AI principle, we focus on solving real problems with solutions that are flexible, scalable, and built to work in the real world.

Why and when to choose tailored AI solutions

While ready-made solutions can address common challenges, custom AI solutions are essential when:

Custom business needs

When off-the-shelf AI fails to meet niche requirements.

Proprietary data

When AI must be trained on sensitive or highly specialized datasets.

Seamless integration

When AI must fit into complex, existing systems with minimal disruption.

Enhanced control

When transparency, explainability, or regulatory compliance is critical.

Scalability

When future-proofing AI capabilities is a strategic priority.

Competitive differentiation

When bespoke AI applications can create unique market advantages.

Analyze

Discovery phase

We begin by thoroughly understanding your business goals, infrastructure, and data.

Activities

Conduct stakeholder interviews
Analyze current systems and data access
List use cases and benchmarks
Define impactful use cases and scope

Outputs

Finalized use cases
Success criteria
High-level roadmap and pricing
Initial integration recommendations

Typical timeline~2 weeks

Build

Proof of concept

With clear objectives defined, we move to designing and testing a prototype to validate the technical and functional aspects.

Activities

Develop and test a working prototype
Validate functionalities with limited user testing
Gather feedback for refinements

Outputs

Working prototype
Refined MVP architecture

Typical timeline1-5 months, depending on the challenges and the scale of the solution

Deploy

Productionization

Once the PoC is validated, we finalize the full solution, ensuring a robust, scalable deployment.

Activities

Finalize architecture and set up infrastructure
Implement full features
Conduct rigorous quality assurance (QA) testing
Deploy to production systems

Outputs

Finalized use cases
Success criteria
High-level roadmap and pricing
Initial integration recommendations

Typical timeline1-5 months, depending on the complexity of the final system

Analyze

Discovery phase

We begin by thoroughly understanding your business goals, infrastructure, and data.

Activities

Conduct stakeholder interviews
Analyze current systems and data access
List use cases and benchmarks
Define impactful use cases and scope

Outputs

Finalized use cases
Success criteria
High-level roadmap and pricing
Initial integration recommendations

Typical timeline~2 weeks

Build

Proof of concept

With clear objectives defined, we move to designing and testing a prototype to validate the technical and functional aspects.

Activities

Develop and test a working prototype
Validate functionalities with limited user testing
Gather feedback for refinements

Outputs

Working prototype
Refined MVP architecture

Typical timeline1-5 months, depending on the challenges and the scale of the solution

Deploy

Productionization

Once the PoC is validated, we finalize the full solution, ensuring a robust, scalable deployment.

Activities

Finalize architecture and set up infrastructure
Implement full features
Conduct rigorous quality assurance (QA) testing
Deploy to production systems

Outputs

Finalized use cases
Success criteria
High-level roadmap and pricing
Initial integration recommendations

Typical timeline1-5 months, depending on the complexity of the final system

Why Dot Square Lab?

Founded in 2022 by Vince Jankovics and Michael Garcia Ortiz, Dot Square Lab blends deep academic expertise with practical enterprise experience. Our founders and broader team have strong academic backgrounds, enriched by real-world success across diverse industries including finance, robotics, entertainment, logistics, defense, and more.Our comprehensive, multidisciplinary experience enables us to approach problems holistically, designing AI solutions that are not only innovative but truly operational and scalable. We've delivered successful AI implementations for major organizations like Meta, Colgate Palmolive, and Eduworks, seamlessly integrating with platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure.At DSL, we take pride in our no-nonsense, pragmatic, and flexible approach. We prioritize making your life easier and being exceptionally easy to work with. Our commitment to real-world outcomes and smooth collaboration makes us your trusted partner for unleashing the true potential of AI.

Let's talk.

Whether you're exploring an idea, evaluating options, or ready to build with AI, we're here to help. Tell us what you're working on and we'll follow up with clarity, not clutter.

Case studies

Case Study2025-06-01|3 mins read

How we work

Why and when to choose tailored AI solutions

Custom business needs

Custom business needs

Proprietary data

Proprietary data

Seamless integration

Seamless integration

Enhanced control

Enhanced control

Scalability

Scalability

Competitive differentiation

Competitive differentiation

Analyze

Build

Deploy

Analyze

Build

Deploy

Why Dot Square Lab?

Let's talk.

Case studies

AI-powered multi-speaker transcription & analysis for educational innovation

Cooperative drone swarms using machine vision for the defence sector

Predicting foreign exchange values using multiple data sources

Enhancing agricultural efficiency with AI-powered disease detection

AI-based vehicle cut-outs for online marketplaces

Get in touch.We're here to assist you.