End-to-End Platform Development

When the right solution doesn't exist yet, we build it. From architecture to deployment and maintenance, one team handles the full lifecycle.

About the service

We've been building production-grade AI systems for over a decade, long before it became a trend. Our engineering team has delivered implementations for Meta, Colgate-Palmolive, Bayer, and dozens of growing businesses, working across GCP, AWS, and Azure.We build platforms that stand on their own. Not prototypes, not proof-of-concepts that gather dust, but systems that run in production and deliver measurable value from day one.Many of these projects are identified through our AI Roadmap process, but you can also come to us directly if you already know what needs building.

When this is the right path

Off-the-shelf AI fails to meet niche requirements

AI must be trained on sensitive or highly specialised datasets

AI must fit into complex existing systems with minimal disruption

Transparency, explainability, or regulatory compliance is critical

Future-proofing AI capabilities is a strategic priority

Bespoke AI applications can create a unique competitive advantage

How we work

Scope and Design

Activities

Define the problem and validate the approach
Design the architecture
If it turns out you don't need a custom build, we'll tell you

Build and Iterate

Activities

Agile delivery with regular checkpoints
Ship working increments, not slide decks
You see progress continuously and can steer based on real outputs

Deploy and Scale

Activities

Production deployment on your infrastructure or ours
Monitoring, performance optimisation, and integration with existing systems
Transition from development to live operations

Maintain and Evolve

Activities

Continuous maintenance, retraining, and iteration
Model performance monitoring and adaptation to changing data and requirements

Scope and Design

Activities

Define the problem and validate the approach
Design the architecture
If it turns out you don't need a custom build, we'll tell you

Build and Iterate

Activities

Agile delivery with regular checkpoints
Ship working increments, not slide decks
You see progress continuously and can steer based on real outputs

Deploy and Scale

Activities

Production deployment on your infrastructure or ours
Monitoring, performance optimisation, and integration with existing systems
Transition from development to live operations

Maintain and Evolve

Activities

Continuous maintenance, retraining, and iteration
Model performance monitoring and adaptation to changing data and requirements

What we build

Our engineering team covers the full AI and software stack:

Computer Vision

Object detection, quality inspection, monitoring, tracking, and edge AI deployment

NLP and LLMs

Document processing, RAG systems, conversational AI, and agentic workflows

Time Series and Forecasting

Demand prediction, anomaly detection, and predictive maintenance

Reinforcement Learning

Optimisation, simulation environments, and autonomous decision-making

Multimodal AI

Systems that combine text, images, audio, and structured data

Full-Stack Software

UX/UI design, frontend, backend, API development, and cloud infrastructure

Pricing:

Pricing is tailored to each project and depends on the scope, complexity, and required features. We usually start with a focused MVP phase to deliver core value quickly, then scale based on your needs and priorities.

Results that speak

Core model development for document parsingJeremy Huang, Daloopa

Great experience working with Vince and his team!

Custom image generation pipelineYair Zamir, Greetings Island

Vince is highly skilled and committed to the work which was not at all trivial. We are more then satisfied from the final outcome. KUDOS

AI-based class analytics platformThomas Mulvoy, Inform(Ed)

Great working with the Dot Square Lab team. Clear communication, responds to messages, adds insightful feedback, and is open to feedback. Systems and timelines track progress and issues that arise. Readily available for discussions.

AI for process engineeringArmin Fricke, Capital Gain Consultants

Vince and Michael helped us take the lead in chemical process simulation functionality. Our tool DWSIM Pro is the first and still unrivalled in creating converging process flow diagrams (PFDs) without any human interaction after the initialization.

Entreprise AI strategy and roadmap buildingDean Francis, FPC Global

DSL helped us to formulate our AI strategy and build a roadmap to capitalize on the rapidly changing technological landscape. They are always up to date with the latest innovation and know how to apply emerging technologies to solve real-world business challenges.

Concept ideation tool with AIKli Pappas, Colgate-Palmolive

I had the pleasure of working with Vince, and he was a highly intelligent and motivated member of the team. Vince excels at tackling hard problems - he has exceptional programming and systems engineering skills, and can implement ML Ops / LLM Ops solutions end-to-end. He has been an invaluable part of the team. I highly recommend him.

BMS network data analytics platformRyan Kirby, Cyber Industries Limited

Dot Square Lab helped us to build our BMS analytics platform MVP on a tight timeline. They handled the UI/UX designs, frontend, backend and AI integration. They are a highly capable team that can execute challenging projects.

Company-wide automation with AI workflowsTim Orozco, Stratus

Vince and his team produce excellent work. They have a good understanding of the various tools available in the AI space, and have a knack for isolating issues with various programs and prompts that you wouldnt think of. The professionalism is top tier and for being on a completely different continent than us, is always extremely responsive and resourceful. Would definitely hire for any future AI bot/agent work!