RL Environment
RL Environments and Agents
Custom RL environments and verifier design for training and evaluating agentic models.
Surge · 100% completeCompany-reported
Dataset·Custom capability
RLHF
Human preference and reward data for reinforcement learning from human feedback.
What it is
Surge reports generating preference and reward data intended to capture nuanced judgments for model alignment and post-training.
Capabilities
Only evidenced capabilities are shown as Yes. Missing evidence remains Unknown.
StatefulUnknown
Long horizonUnknown
Multi-turnUnknown
Multi-agentUnknown
AdversarialUnknown
MultimodalUnknown
Tool useUnknown
Browser useUnknown
Computer useUnknown
Code executionUnknown
File manipulationUnknown
API interactionUnknown
MCP supportUnknown
SandboxedUnknown
Deterministic resetUnknown
Stochastic behaviorUnknown
Human in the loopYes
Expert authoredYes
SyntheticUnknown
Production derivedUnknown
Real application replicaUnknown
Partial observabilityUnknown
Persistent stateUnknown
Cross-applicationUnknown
Sources & provenance
- 1. Products ↗Surge AI · official · accessed 2026-08-16 · company-reported
Related artifacts
Custom capability
Verifier
Rubrics and Verifiers
Custom rubric and verifier design for scoring complex model and agent behavior.
Surge · 100% completeCompany-reported
Dataset
Supervised Fine-Tuning Data
Expert demonstrations for bootstrapping model capabilities, including computer and browser use.
Surge · 100% completeCompany-reported