Built by engineers and researchers from
Introducing Whitney AI
We embed directly with your team to learn how your domain experts operate, instilling their expertise, your SOPs, and historical data into your proprietary agents.
Apply techniques from frontier AI labs, leading inference teams, and YC startups to optimize agents against your most valuable business outcomes.
We capture your production traces to build a custom model that keeps improving with every interaction. So your edge sharpens over time instead of eroding.
Use cases
Healthcare
$80M+
in AI spend saved
Model routing for a $20B+ healthcare enterprise, using quality-preserving model selection to make global AI rollout commercially viable.
Enterprise AI
75×
LLM cost reduction with no quality degradation
Post-trained custom model powering Outlook Inbox Prioritize for millions of users.
Healthcare RCM
99%
automation accuracy
Self-recovering browser agent for payer-portal automations, saving RCM teams thousands of hours.
Media and Technology
99.9%
platform availability
Architected production ML inference infrastructure at sub-100 ms latency, hosting security-sensitive workloads including recommendations, payment fraud detection, and LLM inference at Netflix and Microsoft scale.
FAQ
Whitney AI builds custom models that you own, trained to outperform general models on your specific workflows. Everyone has access to the same general intelligence, and the moat comes from training proprietary models on your own data, evals, and production traces.
We work directly with your experts to map out your workflows, usually 1-2 weeks, so the necessary evaluations and primitives are in place. Then we apply state-of-the-art techniques to build a specialized model and set up the infrastructure that keeps it improving over time. Timelines vary by workflow, so we'll agree together on a timeline tied to the business metrics that matter most to you.
You maintain full control over your agents, your data and your guardrails. We will never use or train on your data without explicit permission.
