Self-tuning Predictive AI as Dynamic as Your Business
Orca’s memory-driven MLOps platform delivers predictive AI steered by an interchangeable, auditable memory to solve challenges of accuracy, misbehavior, and mass customization.
Why Orca?
Customize to unlock new use cases and better fit
Problem
Creating unique variants of your AI drives business outcomes, but customization can be blocked by challenging data distributions and replication costs.
Solution
Orca unlocks mass customization by allowing a single predictive AI to select from multiple sets of uniquely tuned memories during inference. This simplified set-up avoids retraining, so you can create custom AIs even when managing highly similar datasets. With this level of customization, you can boost your AIs’ aggregate ability to unlock vital business outcomes.
Adapt to dynamic data
Problem
Changing external conditions lead to data drift, which degrades AI performance and consumes valuable engineering cycles.
Solution
Orca's unique memory architecture allows predictive AIs to use new, unfamiliar data to generate new outputs without retraining first. You can continually update your AI's knowledge base to stay ahead of changing conditions and avoid degradation between retraining runs.
Fix misbehaving AIs in minutes not hours
Problem
Troubleshooting AI under time pressure is slowed by manual workflows, "black box" investigations, and data management friction.
Solution
Orca's ML Ops platform traces unwanted behaviors to the specific datapoints in the AI's memory that steered the model during that inference pass, replacing the "black box" inherent to predictive AIs with actionable insights that enable immediate fixes. Troubleshooting and solving unwanted behaviors can even occur automatically - feedback from real-world use of your AI can automatically edit memories to unlock self-healing predictive AI.
Accelerate development velocity
Problem
Data quality and iterative trial-and-error consume valuable development cycles and prevents AI from keeping up with your business.
Solution
By integrating foundational predictive models with interchangeable and auditable memories, you immediately see how changes to your data impact your AI's abilities. Experiment set-up accelerates, tests become more manageable, and time to feedback is faster.
How memory works in Orca
Predictive AIs built with Orca have a unique architecture that allows them to dynamically access a specialized external memory at inference time - very similar to how conventional software uses a database.
- See what your AI is thinking about by simply observing which memories are accessed during an inference run.
- Instantly change, update, or customize model behavior in near arbitrary ways simply by changing or updating data - no additional training required
- Unlock real-time learning so that any Predictive AI instantly incorporates new information
Blog
Learn more about what Orca is doing and where we’re going.
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Find out if Orca is right for you
Speak to our engineering team to learn how we can help you build more adaptable models.