- Policies
- Processes
- Patterns
- Historical Data
Define the summit
Turn your experts' judgment, SOPs, and historical data into the evals and training signal your agents climb toward: the target that defines what 'better' means for your task.
The platform for AI-native teams to hill climb
agents on the metrics they care about.
Built by engineers and researchers from
The hill climbing loop
Turn your experts' judgment, SOPs, and historical data into the evals and training signal your agents climb toward: the target that defines what 'better' means for your task.
Run the same post-training and RL methods used inside frontier labs, packaged as a platform, so your team can optimize agents against your most valuable outcomes.
Every production trace becomes training signal. Your model keeps climbing on your metric, in-house and owned by you, so your edge compounds over time instead of eroding.
Own it in-house
The models, evals, data, and improvement loop are yours, not rented from a vendor and not locked behind a black box. Whitney runs on your terms, and what you build stays yours.
Instead of outsourcing the capability, your engineers learn to run post-training and RL themselves. The expertise stays in-house and compounds with every new task you take on.
Reward design, reinforcement learning, and continual learning: the methods behind the best models, made usable so your team can put them to work on the metrics you care about.
Our track record
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
Everyone can call the same general models. That's not a moat. Whitney is the platform your team uses to train proprietary models that outperform general intelligence on your specific workflows, built on your own data, evals, and production traces. The edge is yours, and it compounds with every interaction.
Whitney packages the post-training and reinforcement learning techniques usually locked inside frontier labs so your team can run the loop. If you already have ML researchers, even better, and the platform amplifies them. Either way, part of what we do is help your team uplevel as you go, so the capability keeps growing in-house.
You own the models, the evals, the training loop, your data, and your guardrails. We never use or train on your data without explicit permission. The whole point is that your intelligence layer stays yours.