Agent Factory & Operations for High-Stakes Digital Labor
We build Bounded Autonomy on three principles.
High-stakes agent development belongs on one production line that manufactures agents, governs their operation, and learns from every run.
How work gets done and what good looks like already live in your procedures, KPIs, and people. Behavior should be mined and compiled from that blueprint.
Engineering discipline, controls, and evidence belong on the production line itself, standard on every governed agent, never left to a developer to add later.
One closed loop: operational knowledge in, governed agents out, every run back into knowledge.
Learning agents mine operational knowledge from the data you already have, both what should happen and what actually does.
A governed agent earns its keep in high-stakes, policy-bound, labor-intensive work, where every decision has to be defensible. The same production loop holds across regulated industries.
Benefits, eligibility, coverage, and claim-status inquiries, resolved in full for members and providers, inside compliance guardrails.
Identity and sanctions checks, alert triage, and suspicious-activity narratives, all assembled with a defensible audit trail.
First-notice intake, coverage determination, and policy-bound settlement. Consistent, documented, and fully auditable.
Case intake and classification, evidence assembly, and regulatory-timeline tracking, with audit-ready drafting that never misses a deadline.
Evidence assembly, reason-code rebuttals, and network-deadline tracking. Every case answered before the window closes.
Risk assessed against your guidelines, exceptions surfaced for review, and every decision backed by a documented rationale.
Anyone can ship one agent. The edge is industrializing how every agent is manufactured, governed, and run, so the difference compounds with each one.
Your governed agents run on your own cluster, served by self-hosted inference and continuously evaluated and observed. Data and inference never leave your single-tenant environment.
Data and inference stay in-tenant.
single-tenantBounded Autonomy runs where your controls already reach. Nothing about the model, the data, or the decisions has to leave your environment to make agents work.
Deployed in your cloud or on-prem. No shared control plane, no multi-tenant model. Your data never leaves.
Agents act through your IAM and key vault, behind a security gateway that governs every outbound call.
Full decision trails stream to your SOC / SIEM. Reconstruct what any agent did, when, and why, on any run.
High-stakes steps route to a person by design. Nothing consequential ships without a documented approval.
Bounded Autonomy is built for operations where a confident wrong answer is a liability, where every agent has to follow the real process and prove it did, on every run. That's the only kind of work we do.
Bounded Autonomy is working with a small number of design partners ahead of our public launch. If you run operations where a confident wrong answer is a liability, the founders want to hear from you.