Reduce risk. Add clarity and accountability to your AI experience.

Starting an AI project isn’t like buying networking equipment or software; our customers rarely have a pre-existing frame of reference in terms of pricing, project duration or ongoing support costs.

Proof Before Purchase.

While there’s plenty of enthusiasm around Machine Learning and AI, there’s also plenty of skepticism.  Before our customers receive a Statement of Work, Delta Bravo proves we can solve their problem- or not. During the pre-sales process, we’ll ask for a sample of the data we’ll need to execute the targeted use case. We’ll run that data through the Delta Bravo AI platform free of charge to validate our approach and capability. If the data provided is sufficiently fitted to a model, we’ll share an example of AI enablement on that data within a few business days- proving we can execute the use case and delivering pricing for a Pilot engagement. If the data provided is insufficient, we’ll give the customer recommendations on how to collect the appropriate data for solving their problem and hope to reconnect when they’re ready.

Fast, Cost-Effective Pilot.

We believe AI should be rolled out to the business incrementally with minimal disruption. We execute pilots based on use cases that can be delivered in 30-45 days at a very reasonable cost. This way, the business receives the benefit of AI quickly at a cost that’s very easily justified. If the business chooses to continue the pilot, we charge a low monthly fee to retrain and tune machine learning models as usage scales. If they decide to stop, there are no expensive penalties or long-term commitments.

Additional Use Cases, Integration and Scale.

Most of our customers add functionality to pilot use cases or explore entirely new ones. Delta Bravo AI provides a foundation for fast and cost-effective extension of functionality like alerting, reporting and role-based user privileges. Adding this functionality comes at a minimal one-time fee based on scope. We provide integration services, packaging our models into APIs for use with existing systems, minimizing business disruption and the need for operator retraining.  As Delta Bravo scales, our monthly maintenance and service charges may rise depending on the complexity of the model and the amount of data stored if the AI capability is delivered through our cloud service.