The concept of Graft is promising, especially the idea of simplifying AI adoption.
Unfortunately, the execution falls short. I experienced numerous bugs, which hindered our projects.
While it aims to help us deploy AI solutions, the technical issues have made it difficult to realize those benefits.
I appreciate how Graft simplifies the AI development process. The platform's ability to handle both structured and unstructured data is impressive, allowing me to integrate various data types seamlessly.
While Graft is user-friendly, I found the initial setup to be a bit overwhelming. It could benefit from a more guided onboarding process for new users.
Graft helps me quickly deploy AI solutions without needing deep technical knowledge. This allows my team to focus on strategic initiatives rather than getting bogged down in technical details.
I really like how Graft offers a comprehensive solution for managing AI projects. It keeps everything in one place.
Sometimes, the platform feels a bit slow, especially when processing large datasets.
It helps me manage the entire lifecycle of AI initiatives, saving me time and allowing me to focus on analysis rather than setup.
The versatility of Graft is commendable. I love how it encompasses a wide range of applications from semantic search to visual data exploration.
The pricing could be more competitive. For small businesses, the costs can add up quickly, especially if we need to scale our usage.
Graft allows us to streamline our data analysis process, making it easier to derive insights from various data sources. This has improved our decision-making significantly.
Graft's ability to integrate AI without needing extensive expertise is a game changer for my team. It saves us time and resources.
I wish there were more tutorials or documentation available. Some features are not as intuitive as I would have liked.
It has helped us reduce the time taken to deploy AI solutions significantly. This is crucial for staying competitive in our market.