The full-stack data refinery for frontier AI.
A broker ships ore. We run the whole refinery. Five layers that turn raw domain data into the high-grade material frontier models train on.
Refining
Raw data is full of impurities — biased, unlabeled, non-compliant, worthless until processed. We run the smelting layer: de-biasing, anonymization, provenance tracking, compliance validation, and quality grading. Ore in; high-grade material out.
- De-biasing & rebalancing
- Anonymization & pseudonymization
- Provenance tracking & lineage
- Compliance validation (GDPR / HIPAA)
- Quality grading & certification
- Copyright-safe filtering
- Multimodal alignment & cross-modal validation
Models
We train and fine-tune our own models to process and certify data at scale. RLHF and RLVR-grade pipelines built in-house — not outsourced to a broker. The tech layer that makes the refinery autonomous.
- In-house training pipelines
- Fine-tuning for domain data
- RLHF / RLVR-grade workflows
- Automated quality certification
- Scale processing models
- Continuous model improvement
- Multimodal model training & fusion
Evaluations
Independent, frontier-level benchmarks to test LLMs and world models on the nichest domains money can't otherwise buy. We build the scorecards the labs use to know if their models are actually improving.
- Frontier-level benchmark design
- Domain-specific test suites
- Factuality & reasoning scoring
- Hallucination detection rubrics
- Citation & provenance accuracy
- Independent model auditing
- Multimodal eval & cross-modal consistency
RL Environments & Post-Processing
The verifiable-reward, judged-data loops that labs actually train on — from chat models to robotics and physical AI. We build the simulators, environments, and post-processing pipelines that turn refined data into model improvement.
- Verifiable-reward environments
- Physical AI & robotics simulators
- Judged-data training loops
- Post-processing pipelines
- Edge-case & failure taxonomies
- Regression test sets
Clean & Compliant by Construction
Every dataset is consented, anonymized, provenance-tracked, and audit-ready. Copyright-safe and GDPR/HIPAA-grade. The data labs can train on without a lawsuit — built in from day one, not scrubbed after the fact.
- Consent-verified sourcing
- Automated anonymization
- Full provenance & audit trails
- GDPR / HIPAA-grade compliance
- Copyright-safe by design
- Legal review & risk assessment
Three ways teams start with the refinery.
Refinery Audit
Assess your current data pipelines for bias, compliance gaps, and quality bottlenecks. Get a roadmap to turn raw ore into trainable material.
Golden Dataset Build
Commission a domain-specific, compliant, audit-ready training or evaluation dataset — refined from real-world sources and certified for frontier model use.
Ongoing Refinery Program
Run a continuous refining, evaluation, and RL pipeline for your model. We operate the stack so your team focuses on architecture.