Research
Truth, source, autonomy, and efficiency are design requirements, not slogans. They are the constraints behind adapterOS — and the work we want operators testing on real documents, especially offline, multi-step review jobs.
This is not a mailing list. If there is fit, we reach out with access details and the workloads we care about most right now.
Four things we require before a local answer is useful for review
Each constraint has a briefing trail and a product surface. Follow the ones that match the review problem you actually have.
Workloads we want tested
Follow-up document review
Same packet, second question — does the workspace avoid rebuilding context from scratch?
Offline or air-gapped use
Facilities where outside AI services are off limits or monitored.
Compliance review paths
Teams that need a readable record for security, legal, or accreditation — not just a chat answer.
Operating cost reality
Local hardware, energy, and whether the workflow is cheaper than shipping context to the cloud repeatedly.
What beta partners receive
- Invitation to run adapterOS on your own machine against real work
- Direct line for edge cases — especially degraded answers and boundary failures
- Credit in research notes when you want to be named; anonymity by default
Install and product-loop detail: adapteros.com/how-it-works. Lighter signup: connect.adapteros.com.
Apply for beta / research
Tell us your environment constraints, the document job you would test, and what would count as a useful result for your reviewers.
Start a research conversationDefine one workflow before deciding whether to evaluate it
Begin with a paid workflow-definition engagement under a scoped agreement. A controlled evaluation is a separate next step only after the workflow, source boundary, reviewers, prerequisites, and measures are agreed. This does not promise implementation, hardware, deployment, or a validated outcome.