Who we are?
We are a team of AI experts, strategists, and industry specialists dedicated to helping businesses leverage AI and data analytics to grow and stay competitive.
Knowledge
We adopt a rigorous, knowledge-based approach to help our clients stay relevant and competitive in an evolving environment with emerging technologies.
Our Mission
Our mission is to help businesses unlock the full power of AI and data analytics for business transformations that are focused on increased profitability and efficiency. We strive for tangible clarity on the impact, relevance, and opportunity of AI and data analytics for strategic direction.
Through training engagements or consultative engagements, our mission is to move corporations from conception to adoption and deployment of AI and data analytics.
Our Vision
We strive to be a trusted global leader in AI knowledge-building and awareness, providing our clients with the guidance and support they need to navigate their AI journey for real impact.
We are focused on cultivating a shift away from obsolete thinking about AI towards strategic alignment of organizations between tech and business needs, modernizing their data architectures, and breaking the AI silos so that innovation is cross-functional and cross-organizational.
Our Values
Innovation & Excellence
We stay ahead of AI advancements to deliver solutions that create real value.
Integrity & Ethical AI
We ensure AI is used fairly, transparently, and responsibly.
Client-First Mindset
We work closely with businesses to create AI strategies that fit their unique needs.
Sustainable & Responsible AI
AI should benefit people, businesses, and the planet in the long run.
Collaboration & Knowledge Sharing
We believe in teamwork, mentorship, and helping businesses build AI expertise.
Resilience & Adaptability
We embrace change, helping businesses stay ahead of challenges and opportunities.yh
We work with
CORPORATIONS
PRIVATE ENTITIES
PUBLIC ENTITIES
GCC
Why choose us?
We are your reference point to help you!
We incorporate a bottom-up approach to target your needs via our training and consultancy. We respect your agency as a client and build our intervention as a collaborative experience stemming from your own needs, and help showcase AI and data analytics as a tool that you can control rather than the other way round.
- Develop highly strategic decisions whilst navigating a highly volatile cost and tech ecosystem in the market?
- Overcome talent barriers, value-driven strategic barriers, or infrastructure barriers, in adopting tech for business transformations
- Optimize the alignment between technology and your business needs
- Develop a clear data strategy to help leverage AI and data analytics for business transformations.
- Acquire a clear understanding of how to increase your data revenue as you navigate tech for business and ESG transformations? in AI and data analytics for business transformations.
- Master an understanding of the AI risks and limitations involved, and an inability to mitigate them?
- Develop cost-benefit analyses for your investment in AI in business transformations.
- Decide on the appropriate KPIs to assess AI initiative successes.
- Develop a clear understanding of where your competitors have done better in AI and data analytics for business transformations.
- Improve trust in the use of AI and data analytics for business transformations, and to manage the hype surrounding it.
What makes us different?
We leverage years of research and consulting experience around responsible AI to guide corporations on how to use those technologies in ways that enable AI risk assessment and risk mitigation.
- We believe that the adoption of AI systems by humans is significantly tied to the reliability these systems can offer, and to the extent that those systems can communicate their uncertainty and pitfalls.
- We believe that AI systems need to allow human users enough transparency that can empower humans in the loop with the ability to debug autonomous systems and ensure compliance with ethical and legal requirements.
- We help answer not only “Why AI”? and “How to develop an AI strategy”? but also how not to do “Bad Data Science”.
- We help our clients avoid pitfalls, mitigating and working to resolve business risks, ethical risks, and model- or data-centric risks.
- We safeguard decision makers, business leaders, and other staff, hedge against the hype associated with the unprecended level and pace of growth of AI and data analytics technologies.
- We emphasise trustworthy and sustainable AI that is inclusive and fair, and yet, boosting productivity, and profitability.
- We emphasise trustwortWe are able to customise training and consulting solutions that suit every level of the corporate hierarchy across a wide spectrum of domain expertise as well as technical abilities.hy and sustainable AI that is inclusive and fair, and yet, boosting productivity, and profitability.
What we do?
Training Services
State-of-the-art and customized learning solutions cater to the various needs of our clients.
High-level training —
High-level training engagements for senior executives or board members, with a focus on leadership alignment and visioning for value-driven AI in their strategy
Low-level training —
Low-level training engagements with individuals responsible for setting up innovation labs or running R&D departments, with a wide range of capacity building solutions starting from ideation, to PoCs development, on to full scaling and deployment, of AI solutions.
Consulting Services
Comprehensive, tailored consulting engagements to help enterprises.
Exploring AI capabilities —
Building use-case led roadmap —
AI-based solutions —
Implement specific, customer-centric
Kickstart —
Kickstart, evaluate, or revise an already existing data and AI strategy.
Conduct AI related research —
Conduct AI related research and development studies in relevance to their evolving needs
Achieve value-driven AI —
For maximizing ROI, revenue, and sustainable long-term.
Boost AI competitiveness —
Boost AI competitiveness in an already existing ecosystem of AI vendors and providers.
Data readiness assessment —
Assess their data readiness assessment in terms of collection, engineering, storage and platforms, and management.
Assess their AI maturity —
Assess their AI maturity in terms of skills, strategy, and infrastructure.
Move organizations AI adoption —
Move organizations from ad-hoc, AI maturity, to opportunistic maturity that enables full scale AI adoption and deployment.
