
Uniqus Consultech, a tech-enabled global platform that offers consulting solutions in the accounting and reporting, finance operations, governance, risk, ESG, and technology domains, has announced the launch of its AI consulting practice – AI UniVerse. AI UniVerse is a purpose-built, holistic ecosystem that combines Uniqus’ deep functional knowledge in finance, risk, and sustainability with technical expertise in AI.
Organisations across the globe are eager to harness the transformative power of AI. However, experience indicates that most AI initiatives struggle to deliver ROI primarily due to data complexity, infrastructure limitations, inadequate functional understanding, and gaps in governance, security, and talent. Unless these challenges are addressed, sustainable AI deployment will remain out of reach.
AI UniVerse will help organisations solve common challenges using purpose-built AI solutions that can adapt to the nuances and architecture of every organisation. AI UniVerse solutions also seek to ensure appropriate governance and security considerations around AI deployment. Supported by a strong partner ecosystem, including alliances with AI-native companies such as Lyzr, Cognida.ai, Anecdotes, Numeric, Cranium, and Portal26, AI UniVerse offers a comprehensive framework that lays the foundation for enterprise-grade AI deployment, enabling organisations to achieve real business impact while managing AI risks.
The focus will be on three core solution areas:
AI Readiness: Building foundational platforms, centralising data, and modernizing infrastructure to unlock AI’s potential
AI-Powered Solutions: Delivering agentic and generative AI solutions that enable practical automation, deeper insights, and better decision-making
Responsible AI: Embedding governance, risk, compliance, and security frameworks to ensure sustainable and secure AI adoption
Jamil Khatri, co-founder and CEO of Uniqus, commented: “With AI UniVerse, we are bridging the gap between AI’s promise and practical outcomes. This gap is particularly wide in the finance and risk functions. Our goal is to help organisations transition from experiments and pilots to deeply embedded AI-powered workflows within the finance, risk, and sustainability functions. By combining our domain expertise, advanced AI engineering talent, and partner ecosystems, we are seeking to enable companies solve real business problems."
Abhijit Varma, partner, global head of Tech Consulting, said: “AI UniVerse delivers end-to-end AI transformation - starting with foundational readiness, through advanced data intelligence to generative AI-powered knowledge discovery and agentic workflow automation. We also help clients assess their AI environments, implement governance and compliance automation, and provide continuous oversight - ensuring every program is sustainable, secure, and evolves with their business.”
Dinesh Jangid, regional managing partner, Middle East added: “The real value of AI UniVerse is that it meets organisations where they are. Many companies in our region are ready to scale AI but lack the right tech stack, security guardrails, or specialised talent. We along with our alliance partners bring these pieces together - robust data architecture, industry-tailored AI models, and compliance frameworks, so clients can trust the tech and focus on delivering tangible results.”
Uniqus raised Series C funding earlier this year, primarily for R&D investments in AI UniVerse. Additionally, Uniqus is investing in developing specific AI assets that will be embedded into the various consulting services it offers its clients.
Uniqus has a global team of 550+ professionals led by 60+ Partners and Directors across eleven offices in the USA, Middle East, and India. The company serves more than 250 clients, including marquee names in each of the markets it operates in. Uniqus is committed to leveraging technology and an integrated global delivery model to provide best-in-class consulting services to its clients.
For more information, please visit: https://uniqus.com/tech-consulting/ai-universe