Today we're announcing @runta's $20M seed, led by @a16z.
Software is constrained when you write it. Agents have to be constrained while they run.
Runta is the execution layer that controls what AI agents can actually do.
There’s a surprise 22nd harness in the FrontierHarness v1.1 eval, running alongside the other 21 under the same conditions. We’ll reveal it with the final results.
Hint: it’s racing a version of itself.
Any guesses?
Halfway through FrontierHarness v1.1, the leanest harness costs the least per pass on most models.
Pi uses the fewest tokens per trial on all 5 models, 550k to 900k, while others run up to 6M. It ranks #1 on cost per pass on 4 of the 5. Pi ships 4 tools (read, bash, edit, write)
We’re spending up to 100B tokens across 26,040 agent runs to answer one question: when you switch models, should you switch harnesses too?
Our v1.0 FrontierHarness leaderboard ranked harnesses on a single model.
V1.1 expands it to 21 harnesses × 5 models × 62 tasks × 4 attempts, 72x the size of v1.0.
Results are coming in live. Link below🧵
@Runta's Singapore office is open! 🇸🇬
Six months of preparation. Skipped the cramped high-rises for a green, light-filled workspace.
Hiring for agent infra team for both SG and US:
* Infra Engineer (FaaS / container scheduling / virtualization / RL infra)
* Product Engineer (build in public, open-source, community, design sense)
DM me if you’re into agent infrastructure.