Features
Expert-curated datasets for frontier AI models
Custom data development pipelines
Curriculum-structured Data Series with rubrics and difficulty tiers
Agentic AI system development and deployment
Benchmark design and evaluation (e.g., Continual Learning Bench, Agents' Last Exam)
Open-source benchmark grants and funding
Weak supervision and data programming capabilities
Rubric Failure Mode Taxonomy (RIFT) for evaluation diagnostic
Domain-specific agent benchmarking (e.g., insurance underwriting)
Collaboration with expert contributor community
Calibrated expert review with gold sets and per-task calibration
Programmatic graders and evaluator models at scale
Full audit trails with adjudication and provenance
Templated generation for edge-case coverage across difficulty bands
Eval harnesses with task-specific rubrics and deterministic graders
Multi-sensor core scanning: RGB, XRF, hyperspectral, LiDAR
LIBS-based detection of REEs and light elements (via Lumo Analytics)
AI-powered core logging on Digital Core Table
Resource modeling with RMSP integration
Drill Hole Optimizer for mine planning
Sub-48-hour turnaround time
4x faster than manual core logging
Over 400% project acceleration
End-to-end workflow from scanning to modeling
Domain expertise throughout mining cycle
High-fidelity data capture and analytics
Consistent logging with fewer errors
Professional consulting and training services
Decision engineering for critical mineral exploration
Cloud-based digital core collaboration
