Check out some of the complex industry problems we've solved using AI

Most companies ask "which AI consultancy?" before asking "do we need one?" Here's the decision framework that saves 6-12 months of wasted effort.

By 2025, the AI consulting market matured. See which firms have battle-tested GenAI systems versus those still catching up, and why track records now matter more than brand names.

With GenAI consulting mature in 2025, choosing between enterprise scale and boutique speed requires evaluating production track records, not promises. Here's your decision framework.

Discover how to build scalable, production-ready multi-agent systems with Google’s open-source Agent Development Kit (ADK). This guide shows how ADK simplifies agent orchestration, integration, and enterprise deployment.

Learn how IBM’s ACP and Google’s A2A protocols converged under the Linux Foundation to simplify AI agent communication, interoperability, and multi-agent systems.

We benchmark OCR, proprietary APIs, and Vision Language Models for document parsing and QA, introducing DSL-QA as a reliable dataset for evaluation.

MCP is a new open standard that enables LLMs to dynamically access external tools and data, offering a more AI-friendly and adaptable complement to traditional APIs.

Dot Square Lab combines 10+ years of traditional AI mastery with pioneering GenAI adoption. Pragmatic approach delivers solutions that work, not hype.

Learn how MCP, ACP, and A2A are reshaping AI agent communication. Compare features, use cases, and adoption strategies for multi-agent systems.

Explore OpenAI's gpt-oss-120b & gpt-oss-20b, powerful open-weight language models under Apache 2.0 license, democratizing advanced AI research and deployment.

The client is Inform(Ed), an education-focused startup founder, sought an innovative solution to process and extract value from audio recordings of school lectures.

GenAI's arrival in 2024 flipped AI consulting dynamics. Boutique firms with production experience suddenly outcompeted enterprise giants. Here's what changed.

2024 reshaped AI consulting as GenAI arrived. See which firms adapted fastest, who's still catching up, and where boutiques gained decisive advantages.

Traditional methods of aerial surveying and mapping rely heavily on GPS for localization, which can be inaccurate in urban canyons or non-existent in hostile environments where jamming is widely used to render drones inoperable.

Should you hire a Big Four firm or a specialized AI boutique? Compare costs, timelines, and outcomes to make the right choice for your 2023 AI project.

Discover the leading AI consulting firms of 2023, from enterprise powerhouses to agile boutiques. Compare capabilities, pricing, and use cases to find your perfect AI partner.

Our client wanted to explore the use of recent advanced techniques such as the Temporal Fusion Transformer to predict future electricity prices across Europe.

Insurance claim reports require the evaluation of damage done to cars to assess how much compensation should be rewarded.

The agency was facing a challenge in processing the vast number of CVs they received. Each client had different requirements for how they wanted the CVs formatted, and manually adjusting each CV was a time-consuming task.

The client's employees often found themselves spending a significant amount of time searching through various documents to find answers to their questions.

Dot Square Lab recognised the transformational potential of text-to-image generative - which uses a text-based prompt to generate high-quality and personalised images - in multiple sectors, from marketing, graphic design, construction and more.

The ability to survey large areas is crucial in many applications, such as disaster response, border patrol, or protecting endangered animals from poachers.

Our client was interested to understand how AI could enable the autonomous coordination of a heterogeneous fleet of vehicles (both manned and unmanned) in complex and dynamic environments.