Graft
Unlocking Organizational Potential with AI

In today’s business landscape, artificial intelligence (AI) is a critical asset, enhancing operational efficiency across corporations and delivering powerful new products and services. However, the full democratization of AI—where every team within a company can effectively utilize it— remains elusive. The primary barriers include complex data integration processes, a lack of AI expertise and the need for strong infrastructure. These challenges collectively hinder many teams from fully harnessing the potential of AI.

In an industry first, Graft enables companies to surmount those obstacles and achieve their desired business outcomes.

Founded on the principle of building AI for the 99 percent meaning not just the majority of companies but also the various teams within them, Graft provides a patented intelligence layer. That layer contains a comprehensive cloud based AI platform where search, generative and predictive capabilities are unified under an intuitive interface. This interface makes sophisticated AI technologies approachable and operational for teams across any organization, irrespective of their machine learning expertise or the state of their infrastructure.

“You can focus on outcomes instead of navigating the complexity of choosing and integrating the infrastructure components; we have curated and combined premier solutions for you. There’s no longer a need to weigh the merits of various tools or question their performance— with Graft, you have the assurance of a thoroughly vetted, cohesive system,” says Adam Oliner, founder and CEO.

The essence of Graft’s intelligence layer is to unlock and leverage the vast reservoir of internal knowledge— intelligence embedded in both the data and the workforce.

Tailored to align with each organization’s unique needs, the platform empowers teams to make swift, informed decisions, optimize costs, enhance efficiency and spur growth. By amalgamating enterprise knowledge and facilitating cross-source analysis, Graft saves invaluable hours of manual toil. Its conversational AI interface facilitates interaction in natural language, connecting every team member to the organization’s collective intellect. The result is a synergy that fosters efficient teams, smarter product development and elevated customer satisfaction.

Take the scenario of a legal department inundated with unstructured data, where seasoned professionals brim with industry-specific insights. Prior attempts with specialized, but static, solutions fell short of their needs. Enter Graft, a dynamic, progressively refining AI platform that impresses from day one and is engineered to evolve, adapt and expand. Within minutes, it outperformed their existing solutions, a testament to the strength of its underlying intelligence layer. This capacity for continual improvement and customization sets Graft apart, transforming it into an indispensable tool for any team seeking to leverage AI for real-world problem-solving and innovation.

Many companies are today concerned about choosing the right foundational AI model—the base technology that drives AI applications—and the associated infrastructure to support it. They fear that an early commitment to a specific AI model or technology could lead to costly mistakes if those technologies are soon outdated or surpassed. Graft alleviates these concerns with its model-agnostic platform that accommodates a wide array of models, whether proprietary, open-source or bespoke. This versatility safeguards companies from the pitfalls of a rapidly advancing AI technology landscape.

Not just that, Graft also empowers clients to rapidly assess and act on new initiatives. The need for cumbersome infrastructure setups and the grind of building from the ground up are bypassed—ideas transition to implementation in just moments. For those clients who are reluctant to adopt new tech, Graft mitigates the perceived risks, smoothing the path to innovation.

For those in the experimentation stage, it becomes clear that standalone foundation models do not equate to a production-ready asset. These models often require a suite of additional tools and infrastructure to effectively use data and draw upon human expertise. Retrieval-augmented generation (RAG), while a component of the broader architecture, is not the cornerstone it may seem—it lacks the capacity to incorporate expert input directly, for example. Addressing these gaps calls for intricate integration of various software solutions. Graft, recognizing this, has engineered an environment where complex integrations are preconfigured, enabling users to leverage the full spectrum of AI’s capabilities, including the often-underutilized power of human expertise.

While it is easy to build visually impressive demos using powerful AI models, solving genuine business problems requires substantial engineering effort, Graft has done that by developing a production-ready platform that allows its customers to focus on driving impactful outcomes without having to solve the daunting engineering problems themselves.