Domain on the map · as Coding
RL environments and benchmarks for private codebases
Coding work inside proprietary repositories rather than public open-source projects, to test how models handle unfamiliar company code they have never seen.
- RL environments
- 7
- AI benchmarks
- 24
- Shares entries with
- 4 categories
Snapshot 2026-11-05. How categories are built · Where the data comes from
In short
- What are RL environments for private codebases?
- A simulated workplace where an AI agent practises a task (a code repository, a browser, business software) and an automatic grader scores each attempt. Labs train on thousands of these attempts. Bought to improve models. For private codebases, that means coding work inside proprietary repositories rather than public open-source projects, to test how models handle unfamiliar company code they have never seen.
- Who builds RL environments for private codebases?
- Turing, Deeptune, Proximal, Mechanize, Huzzle Labs and Datacurve, among 7 confirmed below.
- What are the main private-codebase coding benchmarks?
- Terminal-Bench 3.0, CEO Bench, FrontierSWE (v1), CyberStrike, SciCode++ and Open-MM-RL, among 14 confirmed below.
RL environments 7
- Turing
- Deeptune
- Proximal
- Mechanize
- Huzzle Labs
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Datacurve
Covers coding“Datacurve provides the frontier coding data that powers the world's most advanced models.” source ↗
Sells RL environments“Durable environments for measuring agentic capabilities where real work happens: long horizons, natural instructions, realistic tools, domain-specific judgment, and partial progress.” source ↗
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Refresh
Covers coding“Software engineering work that targets GDPval capabilities, the economically valuable tasks professionals handle across dozens of occupations.” source ↗
Sells RL environments“Refresh builds simulated worlds for coding and computer use, with verifiable rewards that move models forward.” source ↗
AI benchmarks 24
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Terminal-Bench 3.0
Tests coding“Terminal-native evaluation of expert work: tasks that stall a competent practitioner, graded only by execution.” source ↗
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CEO Bench
No line from its own site or paper places it in Private Codebases yet; the catalog lists it here.
- FrontierSWE (v1)
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CyberStrike
Tests coding“Defensive agents must deliver root-cause fixes that preserve legitimate behavior.” source ↗
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SciCode++
Tests coding“Computationally intensive scientific coding across physics, materials science, chemistry, mathematics and biology.” source ↗
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Open-MM-RL
No line from its own site or paper places it in Private Codebases yet; the catalog lists it here.
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SDLCbench
Tests coding“Long-horizon software-engineering work on private enterprise codebases — not coding puzzles.” source ↗
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CompanyBench
No line from its own site or paper places it in Private Codebases yet; the catalog lists it here.
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EKWbench
No line from its own site or paper places it in Private Codebases yet; the catalog lists it here.
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Medical Bench
No line from its own site or paper places it in Private Codebases yet; the catalog lists it here.
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OdysseysMega
No line from its own site or paper places it in Private Codebases yet; the catalog lists it here.
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gba-eval-attempts and per-model gba-eval-attempt-* repos
Tests coding“We give frontier AI coding agents 24 hours to write a complete software GBA emulator with WebAssembly support.” source ↗
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BlenderBench
No line from its own site or paper places it in Private Codebases yet; the catalog lists it here.
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InsureBench: insurance underwriting and claims benchmark
No line from its own site or paper places it in Private Codebases yet; the catalog lists it here.
10 not yet confirmedListed in the catalog; no line from its own site or paper confirms it yet.
- FrontierSWE v2
- Turing Terminal-Bench Data
- KernelQuest
- PLSQLBench
- Turing Frontier Agentic STEM
- Gauntlet 4K RLVR dataset, access by request
- OpenEnv Visual Memory and Spreadsheet environments on Hugging Face
- Robustly Evaluating Cyber Capabilities
- HuzzleWorld computer-use models
- computer-1 computer-use harness in Harbor
Data 32
- Abundant
- Datacurve
- Emulated
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General Reasoning
Sells data“A frozen archive of news, SEC filings, arXiv, Wikipedia and the wider web, with point-in-time search and fetch for forecasting and reproducible evals and training.” source ↗
Covers coding“a benchmark of 89 challenging terminal-based software engineering tasks spanning compilation, cryptography, data processing, machine learning, system administration and scientific computing” source ↗
- Habitat Inc
- Parsewave
- pre.dev
- Revelo
- AfterQuery
- Anthromind
- Aviro
- Collinear
- Contra Labs
- Cua
- Good Start Labs
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Handshake
Sells data“Exploring why human judgment, skill, and expertise remain essential to training modern AI and how people shape the future of artificial intelligence.” source ↗
Covers coding“Across several frontier models running DeepSWE-1.1, over 80% of agent rollouts contain reasoning about an imagined grader.” source ↗
- HUD
- Huzzle Labs
- Markov
- Mercor
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micro1
Sells data“We're building the infrastructure for advancing intelligence through expert human data, real-world training environments, and contextual evaluations” source ↗
Covers coding“Source code documentation, engineering workflows, bug tracking, product planning, and technical knowledge bases” source ↗
- Patronus AI
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ReasonCore
Sells data“We produce exclusive and off-the-shelf (OTS) datasets built around multi-step hierarchical reasoning, tool-augmented workflows, and domain-specific problems” source ↗
Covers coding“including data targeting SWE-Bench (real-world GitHub bug resolution and patch generation) and Terminal-Bench” source ↗
- Refresh
- Surge AI
- Symbal
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Theta
Covers coding“Review Pull Request” source ↗
- Toloka
- Trajectory Labs
- Turing
- Ulam
- Vetto AI
Next: pick another domain. Tags come from the RL Research daily scrape, canonicalized nightly.