Our goal is to provide solutions driven by cutting-edge AI technology that lead the industry in precision and ease-of-use. Our solutions are successful because of close work with our clients, our experienced team, and a well-prepared set of tools.
We aim to help companies with different AI maturity. We start with initial assessment and finish with valuable product tailored to the needs of our customers.
Spend some time to understand what AI can or cannot do, given your limitations of engineering resources, data, or technology for a particular use case. Technical diligence, in addition to business diligence, is crucial for selecting feasible and valuable AI projects.
ML people are a scarce resource, but they can be useful only if business talents know how to work with them. Teams have to be cross-functional to find feasible and valuable projects.
AI development is often an iterative process, so it is essential to manage expectations in your organization. Business people should be aware of an iterative process with multiple attempts needed to become a big story for your business.
The types of timeline estimates, milestones, and deadlines, and KPIs or OKRs associated with AI projects are a bit different than the same things related to non-AI projects.
Your second AI project would be better than your first. Your third AI project would better than your second. The first project starts building a competitive advantage for the future until your competitors implement all critical use cases.