Proximal is a research lab focused on data.
Proximal is a new data company. Our core belief is that data which is complex enough to teach today’s frontier models is not bottlenecked by domain experts, but by research, great systems, and excellent software. We are not a recruiting firm or a talent marketplace, but a research and engineering organization that treats data as a problem which deserves the same level of rigor as work on training algorithms and model architectures.
We think that this is the most impactful work towards agents that can autonomously solve complex technical problems, and intend to share our research and progress in the open.
Announcements, benchmark releases, and the work behind both.
Research & Engineering•2 min read
FrontierSWE v2
34 tasks, 13 frontier models, 20-hour budgets. Our hardest coding benchmark yet.
| # | Model | Score |
|---|---|---|
| 1 | Claude Fable 5.1 | 56.3% |
| 2 | GPT-5.6 | 32.2% |
| 3 | GLM-5.3 | 30.2% |
| 4 | Kimi K3 | 25.9% |
| 5 | Grok 4.6 | 25.3% |
| 6 | Gemini 3.7 Flash | 20.3% |
| 7 | Qwen3.8-Max | 15.8% |
| 8 | DeepSeek V4 Flash Exp | 14.8% |
| 9 | Muse Spark 1.2 | 12.0% |
| 10 | Inkling | 4.1% |
Research & Engineering
Post-training infrastructure at Proximal
How we run agentic RL across Modal GPUs and our own Kubernetes sandbox fleet.
Read more →Research & Engineering5 min read
Robustly Evaluating Cyber Capabilities
Our investigation into the CyberGym benchmark and reliable cyber evaluations.
Read more →Company2 min read
New Frontiers
Announcing our Seed Fundraise and Revenue Milestones
Read more →Research & Engineering9 min read
FrontierSWE
Our ultra-long-horizon coding benchmark. Frontier models clear only a fraction of its tasks.
Read more →Research & Engineering7 min read
Our Problems
An overview of the problems we’re working on at Proximal.
Read more →Company4 min read
Announcing Proximal
We believe data is becoming one of the central research problems in AI, and no one is working on it the right way. Proximal is a research lab for data.
Read more →We're hiring across research and engineering.
If treating data as a first-class research problem sounds like the work you want to be doing, we'd like to hear from you.