RL environments and AI benchmarks, cataloged daily.
The RL training market as universes you can fly through: every vendor, the RL environment builders, and the benchmarks they built. Each sits in the domain it leads with, and every placement links to the line on its own site or paper that put it there.
Snapshot 2026-10-14, rebuilt daily from public sources.
How the data is built
Every company we track, whatever it sells. Each domain is a realm and each company a star in the one it leads with; generalists orbit the core.
Realms based here
The galaxy could not load. See every vendor on the board.
How to read it
Star, based here: a vendor, in the realm of the domain it leads with. The logo is the vendor's; the glow is what it leads with selling.
Outpost: a ring on a realm's edge for a vendor based elsewhere that also covers that domain. A lane runs home.
Moons: the other things it sells. Hollow while it is still expanding into them.
Click any star for the lines from its own website that put it there.
How to read it
Star, based here: a benchmark, in the realm of the domain most of its tasks are in. The logo is the vendor that built it.
Outpost: a benchmark based in another realm that also tests this domain.
Lineage: a line from a benchmark to one built on it: its next version, a subset, an extension, or an index that combines it.
Click any star for the line from its own page or paper that put it there, and to light its lineage.
From the builders
What vendors are posting
The newest post on X from each RL environment vendor we track, refreshed with every build. Scroll the feed for more. How we find their accounts.
The catalog
One page per entry
Every environment, benchmark, domain and model has its own page with builder, domains and related work. Sort or filter any table. The snapshot rebuilds daily.
RL environments
Training and eval environments for agents, with builder and domains.
Browse → 3112AI benchmarks
Public eval suites and leaderboards referenced across the ecosystem.
Browse → 91Domains
Coding, computer use, enterprise workflows, and more, each with its entries.
Browse → 49Model leaderboard
Ranked by overall leaderboard score, with creator and rank.
Browse →Domains by size
Ranked by total entries. 93 domains in all.
Show 87 smaller domains ↓ Hide smaller domains ↑
- 07 Long-Horizon 26 env · 123 bench 149
- 08 Knowledge 0 env · 139 bench 139
- 09 Safety 0 env · 123 bench 123
- 10 Computer Use 23 env · 95 bench 118
- 11 Math 5 env · 94 bench 99
- 12 Decision Models 0 env · 78 bench 78
- 13 Science 7 env · 69 bench 76
- 14 Business 0 env · 69 bench 69
- 15 Finance 6 env · 62 bench 68
- 16 Biomedicine 0 env · 58 bench 58
- 17 Legal 2 env · 53 bench 55
- 18 Multilingual 0 env · 50 bench 50
- 19 Audio 1 env · 44 bench 45
- 20 Long Context 0 env · 40 bench 40
- 21 Cybersecurity 1 env · 38 bench 39
- 22 Video 0 env · 36 bench 36
- 23 Retrieval 0 env · 35 bench 35
- 24 Game 0 env · 34 bench 34
- 25 Vision 0 env · 34 bench 34
- 26 Multimodal Understanding 0 env · 33 bench 33
- 27 Alignment 3 env · 29 bench 32
- 28 Behavioral 0 env · 32 bench 32
- 29 Embodied 0 env · 32 bench 32
- 30 Generalization 0 env · 31 bench 31
- 31 Private Codebases 7 env · 24 bench 31
- 32 Speech 0 env · 31 bench 31
- 33 Spatial Reasoning 0 env · 30 bench 30
- 34 Tool Use 3 env · 27 bench 30
- 35 Software Engineering 0 env · 27 bench 27
- 36 Cross-domain 0 env · 26 bench 26
- 37 Data 0 env · 25 bench 25
- 38 Factuality 0 env · 25 bench 25
- 39 Instruction Following 0 env · 24 bench 24
- 40 Language 0 env · 24 bench 24
- 41 Document Understanding 0 env · 23 bench 23
- 42 Biology 0 env · 22 bench 22
- 43 Multi-Domain 11 env · 11 bench 22
- 44 Robotics 0 env · 22 bench 22
- 45 Translation 0 env · 22 bench 22
- 46 Education 0 env · 20 bench 20
- 47 Gui 0 env · 17 bench 17
- 48 Domain 0 env · 15 bench 15
- 49 Geospatial 0 env · 14 bench 14
- 50 General Knowledge 0 env · 12 bench 12
- 51 Search 0 env · 12 bench 12
- 52 Machine Learning 0 env · 11 bench 11
- 53 ML 7 env · 4 bench 11
- 54 Creative 3 env · 7 bench 10
- 55 Materials 0 env · 10 bench 10
- 56 Classification 0 env · 9 bench 9
- 57 Creative Media 0 env · 9 bench 9
- 58 Inference 0 env · 9 bench 9
- 59 Question Answering 0 env · 9 bench 9
- 60 Korean 0 env · 8 bench 8
- 61 Aerospace 0 env · 7 bench 7
- 62 Efficiency 0 env · 7 bench 7
- 63 Language-understanding 0 env · 7 bench 7
- 64 Summarization 0 env · 7 bench 7
- 65 Tabular 0 env · 6 bench 6
- 66 Uncategorized 0 env · 6 bench 6
- 67 Writing 0 env · 6 bench 6
- 68 Chemistry 0 env · 5 bench 5
- 69 Human-preference 0 env · 5 bench 5
- 70 Mobile 0 env · 5 bench 5
- 71 Spreadsheets 0 env · 5 bench 5
- 72 Structured Output 0 env · 5 bench 5
- 73 Document-ai 0 env · 4 bench 4
- 74 Ocr 0 env · 4 bench 4
- 75 Security 3 env · 1 bench 4
- 76 Browser 3 env · 0 bench 3
- 77 Chip Design 2 env · 1 bench 3
- 78 Climate 0 env · 3 bench 3
- 79 Energy 0 env · 3 bench 3
- 80 Meta 0 env · 3 bench 3
- 81 Multi-domain 2 env · 1 bench 3
- 82 Text TO Sql 0 env · 3 bench 3
- 83 Truthfulness 0 env · 3 bench 3
- 84 Weather 0 env · 3 bench 3
- 85 Self Improvement 0 env · 2 bench 2
- 86 Tool-use 1 env · 1 bench 2
- 87 Autonomy 0 env · 1 bench 1
- 88 Games 1 env · 0 bench 1
- 89 Image Generation 0 env · 1 bench 1
- 90 Openness 0 env · 1 bench 1
- 91 Professional 0 env · 1 bench 1
- 92 Rlhf 1 env · 0 bench 1
- 93 Video Generation 0 env · 1 bench 1
In short
RL environments, in short
- What are RL environments?
- 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. More in the glossary.
- Who sells RL environments?
- 57 companies we track sell RL environments, among them AfterQuery, HUD, Mercor, Turing, Align AI, BenchFlow, Cua and Datacurve. Each is placed by a line from its own website; see them all on the RL environments market map.
- What is the difference between an RL environment and a benchmark?
- An RL environment is for training: a model practises in it and a grader scores each attempt. A benchmark or eval is for measuring: a fixed, held-out set of tasks with fixed scoring, used to measure and compare models. Never trained on, so the score means something. Used to measure models.
- What are the main AI benchmarks for agents and LLMs?
- Among the most referenced: Humanity's Last Exam, Terminal-Bench 2.1, SWE-bench Verified, BrowseComp, Terminal-Bench Hard, GPQA Diamond, GPQA-D and MMLU-Pro. See the full AI benchmarks list.
- Where does this data come from?
- Every placement is read from the company's own website or the benchmark's own page or paper, quoted and linked, and the catalog is rebuilt daily from public sources. How the data is built.
- Why expert-data vendors are becoming research labs: 14 studies from four vendors in 40 days
- Mercor hired the first authors of LoRA, τ²-bench, SciCode, and APEX-Agents. micro1 is offering up to $4M for a robotics research director
- 2,209 agents rewrote a coding harness in Rust in two weeks. The reward was a parity check in a fresh sandbox