Every team goes through the same stages. Each step unlocks more leverage, less bottleneck, and eventually: engineering output that doesn't depend on who's awake.
From one agent
to an engineering floor that never clocks out.
You started with Claude Code. Then worktrees. Now your agents run in the cloud with real dev environments, perfect context, and their own judgment. Palmer is the last step: agents that decide what to work on next.
The progression from
one agent to full autonomy.
Claude Code in your terminal. One task at a time. You prompt, wait, review. Powerful, but sequential. Your machine, your attention, your bottleneck.
"What if you could run dozens at once, each with its own environment?"
Cloud agents, each in its own bespoke environment: full database, CI, test suite. Run dozens in parallel. See which ones are blocked and on what. Every agent verifies its own work end-to-end before opening a PR.
"What if they could keep working after you leave the office?"
Agents that run while you're not looking. You queue up the work, go home, and come back to PRs, resolved tickets, and passing test suites. Engineering output decoupled from office hours.
"What if they could figure out what to work on themselves?"
Agents that decide what to work on next, without prompting. They pull from customer tickets, meeting notes, eval results. They prioritise, investigate, build, and ship. Monday morning, everything is done.
"This is Palmer."
Same stack as
your engineers.
Every agent gets a bespoke cloud environment. Not a sandbox, not a container with half your dependencies missing. The same stack your engineers develop against, spun up on demand.
This is why the output is high-quality. Agents run the full test suite, check their builds, and validate in staging before opening a PR. You see exactly which agents are blocked and on what. No black box.
Every token maximized. Every moment utilized.
We embed with your org.
Your agents inherit that context.
Palmer doesn't guess at your codebase from a README. Our engineers embed with your team, learning your architecture, your conventions, your priorities. Then your agents operate with perfect context.
Have something custom? We'll integrate it.
Granola Meeting Notes
Zendesk Customer Tickets
Langfuse Eval Results
Start with a team.
Scale to a floor.
Bring your own Codex or Claude subscription. Get started on your own terms.
- Bring your own Codex / Claude
- Cloud dev environments
- Community support
For teams under 10 engineers. Everything you need to go from one agent to full autonomy.
- Engineers embed with your team
- Setup and onboarding included
- Cloud dev environments
- Monthly consulting call
Everything in Startup, plus dedicated support for larger teams and custom requirements.
- Dedicated support engineer
- Custom integrations
- SLAs and compliance
- Priority access to new features
General intelligence is the ability to solve any problem.
General volition is the ability to decide which problems are worth solving.
Built by engineers from
Former Forward Deployed Engineers and quantitative engineers.
London.
We're hiring engineers who want to work on what might be the most interesting open question in AI. People who are equally comfortable reading research papers and shipping production code.