The enterprise AI landscape is rapidly evolving, with tech giants vying for dominance in the interface layer.
The enterprise AI landscape is rapidly evolving, with tech giants vying for dominance in the interface layer. Glean, however, is pursuing a different strategy, focusing on building the underlying intelligence layer that connects AI models to enterprise data and systems. This approach highlights the critical need for organisations to consider the foundational infrastructure required for effective AI implementation and governance, particularly when considering AI training and AI upskilling initiatives.
The race to embed artificial intelligence into every aspect of business operations is well underway. From Microsoft's Copilot integration to Google's push with Gemini, and OpenAI and Anthropic directly targeting enterprises, the market is saturated with AI assistants and tools. While much of the attention is focused on user-facing interfaces, a crucial element often overlooked is the underlying infrastructure that powers these AI applications. Companies need to consider not just what AI tools to use, but how to connect them to their existing systems and data securely and effectively. This is where companies like Glean are carving out a vital space, and where an AI consultancy can help guide your strategy.
Initially conceived as an AI-powered search tool for enterprises, Glean has shifted its focus to becoming the connective tissue between large language models (LLMs) and internal company systems. According to founder Arvind Jain, the company's deep understanding of user behaviour and data flows, gained from building its search product, has become foundational for developing high-quality AI agents. This foundational understanding is crucial for successful AI automation initiatives.
Jain argues that while LLMs possess impressive reasoning and generative capabilities, they lack specific knowledge about individual businesses. They don't inherently understand internal data, employee roles, or product details. Therefore, connecting these models with enterprise context is crucial for delivering relevant and accurate AI-driven solutions. Glean's value proposition lies in its ability to map this context and act as an intermediary between the AI model and the organisation's data.
Jain emphasises the necessity of a robust governance layer to ensure data security and compliance when implementing AI solutions at scale. He also highlights the importance of verifying model outputs against source documents, generating citations, and respecting existing access rights to minimise hallucinations and maintain accuracy. This highlights a key consideration for any AI implementation strategy.
Glean's vision has resonated with investors, evident in its $150 million Series F funding round in June 2025, which nearly doubled its valuation to $7.2 billion. This investment underscores the growing recognition of the importance of a robust AI infrastructure layer and the demand for AI services.
The trend towards enterprises seeking comprehensive AI solutions has significant implications for organisations of all sizes. How to implement AI in business is now a core strategic question.
At Epoch AI Consulting, we see the rise of companies like Glean as further validation of our approach to AI consulting. While many businesses are focused on the allure of flashy AI interfaces, we emphasise the importance of a solid foundation. A successful enterprise AI strategy begins with understanding your data, your processes, and your people. As an artificial intelligence consultancy, we take a holistic approach.
Glean’s success highlights the critical role of data integration and governance in realising the full potential of AI. Before diving into AI tools, organisations need to assess their AI maturity, data quality, and existing infrastructure. We help companies conduct this assessment and develop a comprehensive AI strategy tailored to their specific needs and goals. This involves crafting a clear AI roadmap that considers not only the technological aspects but also the organisational changes required for successful AI transformation.
Our work often begins with AI workshops designed to upskill teams on AI tools and best practices, promoting AI literacy across the organisation. However, the real value lies in helping companies implement AI solutions that solve costly problems or create new revenue opportunities. This may involve building bespoke AI development solutions, automating processes, or embedding our talent within your organisation to drive AI initiatives. We act as your AI advisory partner, providing guidance on everything from AI ethics to data security to model selection, ensuring that your AI initiatives are aligned with your business objectives and values.
The challenge for many organisations is knowing how to implement AI in business effectively. It's not enough to simply deploy AI tools; you need to integrate them seamlessly into your existing workflows and ensure that they are delivering tangible results. An AI consultancy for businesses UK can provide the expertise and support needed to navigate this complex landscape and unlock the true potential of AI. We help SMEs and large enterprises alike to develop a robust AI strategy and build the necessary infrastructure to support it, providing comprehensive AI upskilling programs to enable internal teams. If you want to hire an AI consultant, look no further.
The battle for enterprise AI is far from over. While tech giants will continue to compete for dominance in the interface layer, the underlying intelligence layer will become increasingly crucial. Companies that prioritise data integration, governance, and model flexibility will be best positioned to leverage the power of AI and gain a competitive advantage. As your AI consultant UK, we believe the future of AI lies not just in the models themselves, but in the infrastructure that connects them to the real world. For AI consulting for SMEs, contact us today.
Source: The enterprise AI land grab is on. Glean is building the layer beneath the interface.
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