Train LLMs That Actually Work
Reinforcement finetuning for production. We help you build models that pass your tests, hit your metrics, and improve over time—not just sound good.
Why RL Fine-Tuning
A new post-training paradigm that adapts foundational models to your specific use case through verifiable outcomes.
No Curated Data Required
Unlike SFT, you don't need perfect prompt-response pairs. Just define your reward function and let the model learn from feedback.
Verifiable Reward Functions
Train models against compilers, validators, or business rules. Your model optimizes for outcomes you can measure.
Deeper Behavior Embedding
RL embeds behaviors into the model itself—more reliable than prompting, fewer tokens, handles complex tasks.
Custom Tool Specialization
Fine-tune agents for your internal tools and APIs. Better tool selection, correct parameter passing, every time.
Production-Ready Models
Get open-weight models you own. Deploy anywhere—AWS, GCP, Azure—with no vendor lock-in.
Continuous Improvement Loop
Models get better over time. Drift detection, automated retraining, and feedback loops built in.
RL Finetuning as a Service—End to End
We take your base model and make it better at your task. Not with vibes. With verifiable outcomes.
Simulator-Verified Training
Models learn from test passes and task completion—not noisy labels.
Context Graph Training
RL for memory-aware agents that know what to remember and retrieve.
Production Inference
Optimized serving with low latency and high reliability.
Continuous Monitoring
Track drift, catch regressions, and trigger retraining automatically.
From Messy Data to Deployed Model
in Weeks, Not Months
Forward Deployed Playbook
We embed with your team to define what "good" looks like in testable conditions.
Simulator & Reward Design
We build the environment that scores your model's outputs against your ground truth.
GRPO Training Loop
Reinforcement finetuning where your model improves from verifiable outcomes.
Serve + Monitor
Production-grade inference with drift detection and continuous improvement.
We're Not Another Finetuning API
Real Problems, Real Solutions
Code Generation
Train models that pass your test suite, not just produce plausible syntax.
Structured Output
JSON, API calls, forms—validated against your business rules, every time.
Agentic Workflows
Multi-step task completion with credit assignment across tool calls.
Search & Research Agent
Train models to search, retrieve, and synthesize information from multiple sources accurately.
Automated Bug Fixing
Models that understand error messages and fix code based on test feedback.
Document Processing
Extract structured data from PDFs, invoices, contracts—validated against your schema.
Let's Make Your Model Actually Work
We'll start with a 2-week pilot. You bring the task. We bring the RL.