Escalating AI Costs?
Orca-augmented models can radically reduce them
As demand for AI solutions skyrockets, your business starts to feel new stressors. Your current team starts spending 50% (or more) of their time maintaining existing solutions, but finding new AI/ML engineers continues to grow more expensive. Costs (and waitlists) to get hardware feel stratospheric. Accessing third party models is fast and doesn't have fixed costs, but they compound rapidly as your AI solutions gain traction.
Orca augmented models allow you to manage the costs of running cutting edge models - AI/ML engineers become more efficient, your need for significant amounts of compute go down with fewer retraining runs, you can bring models in-house, and you can more efficiently leverage third party solutions.
Supercharge your team
As AI and ML solutions mature in production, teams spend more and more time on essential maintenance and debugging. This slows velocity. Adding more team members increases costs and coordination issues.
Orca reduces maintenance time for most tasks by 3-5x. This lets your existing AI and ML teams work more efficiently and effectively.
React faster
Time is money. Orca allows real-time model changes, fixes and updates by anyone, even without Machine Learning knowledge. This eliminates time-consuming handoffs and additional model retraining runs.
Reduce compute spend
Your business is going to need your AIs to evolve. No matter how much you optimize it, retraining or fine-tuning a model to debug it is never going to be efficient. Orca enables your AIs to evolve with minimal training costs. Now, you can allocate your computing resources to develop more sophisticated and powerful models.
Remain dynamic and within budget
Unit economics for AI solutions are a challenge, but neither "slowing down" nor throwing resources at the problem is sustainable. Business requirements change, governments are scrutinizing how you manage your AI, and customers and investors demand better and better AIs.
Orca allows your team and its models to remain responsive to new information, requests and rules without increasing development costs. Your team gets to focus on the most value-added work.
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