Artificial intelligence consulting

We evaluate your technological maturity and readiness for AI-driven automation, and we walk you through every step of integrating artificial intelligence into your business operations, from researching your use case to designing AI-driven software and guaranteeing user acceptance.

When you see your running AI system underperform or fall short of meeting stakeholders’ expectations, we come to review its algorithms, underlying business logic, architecture, usability, and security. We then correct, upgrade, or redesign the software to save your investment and prepare for further AI expansion.

We assist you in moving past the proof-of-concept stage and scaling your AI transformation across your organisation for a larger and more satisfying impact. Our artificial intelligence experts will work with you to develop a long-term AI plan that will help you build a sustainable, integrated AI-driven ecosystem for your company.

When training our AI models, we consider ethical and social implications of algorithm-based decision making. We design our solutions using high-quality data sets that incorporate diversity and fairness, as well as eliminating human cognitive biases.

We can't address AI's black-box problem completely — no one can at the present — but we can ensure the transparency and explainability of our machine learning model training approach and data. We also put our algorithms through rigorous testing until they achieve a reliable accuracy of 98 percent or above.

Our AI consulting firm, which works with clients all around the world, follows all applicable data privacy rules, such as the GDPR, HIPAA, and others, in all automated systems that handle sensitive data. To preserve compliance, we also ensure that our algorithms provide for the required amount of decision-making transparency

Our AI consultants assist businesses in minimising the workforce disruption caused by AI adoption. In keeping with the data-driven organisational mindset, we offer advice on change management methods, personnel up - skilling (where necessary), and user training.

We'll examine and define your use case with your stakeholders to determine how it fits into your larger business context and if it can have an impact throughout your business.

We understand that no AI system can function with faulty or distorted data. That's why we audit and validate your data, as well as the operations and infrastructure that support it.

For a range of use cases, we provide end-to-end training of machine learning models in preparation for their implementation into enterprise AI-powered solutions.

For implementing and administering our clients' in-house AI systems, we put up durable cloud-based infrastructures spanning private and hybrid settings.

At any project stage, our business constructs, customises, and redesigns AI-driven systems on a turnkey basis or as part of your in-house team.

We provide post-deployment user training sessions as an option to reduce users' early adoption barriers and increase buy-in. At all levels, we also provide regular technical support.