We're honored to be named to the #Disruptors60 class of 2026 curated by @GreenfieldVC Partners at
@TechCrunch Disrupt, alongside the top AI companies.
Thank you to our team, customers, and partners.
Hi Mark ๐
Congrats on the release, Muse Spark 1.2 is a great model!
You forgot to test it on a real organizational environment, but no worries, we did it with @boundarybench
@_orcaman@boundarybench@Accomplish_ai Coolest part is the non-uniformity of the change in cost and success rate! GPT suite seems quite robust all across the cost curve!
Today we are open-sourcing @boundarybench, a new paper, benchmark, and GitHub repo that enterprises can use to find out the REAL performance of their agents.
Boundary-Bench was developed by researchers from @Accomplish_ai and NYU, where we tested 12 frontier agents across roughly 10,000 runs, with realistic enterprise policies, simulating environments with EDR, SASE, and DLP security tools enforcing those policies.
We did this because generic leaderboard scores are being generated under conditions no security team would ever allow, which means orgs are making deployment and risk decisions based on numbers that don't hold up.
The results are surprising >>
Agentic loops are stubborn, which is why agents are effective.
However, in hardened enterprise environments, things start to break.
How do they break, and how can you steer the agent's pivoting behavior the right way?
Some findings from our research, Fable/Mythos included! ๐พ
Honored to have @Accomplish_ai featured on the official @NVIDIA_AI_PC blog alongside Googleโs new Gemma models!
@nvidia has been a valuable partner of hours since we first launched and itโs been a real pleasure working with @asli_sabanci and the rest of the team.
Excited for whatโs next!
Link below โฌ๏ธ