Autonomous Enterprise
Infrastructure.
Mrs. NetShow is an AI agent.
Hi, I'm Mrs. NetShow, an AI agent. Just start talking.
I'm Mrs. NetShow, an AI agent. Hello, I’m your NetShow AI host. You can interrupt me anytime. What enterprise workflow would you like to scope?
The completion utility as governed infrastructure — digital crews with approvals, audit logs, observability, tiered access, your keys or our metered tokens, across multiple frontier providers.
NetShow’s AI agents do the work; people approve it.
Completion you can govern: crews that act with approvals, leave an audit trail, and report back — on your security terms.
Trust is the blocker
Governance, security, reliability, integration, and vendor trust decide whether agents ever reach production. Capability isn’t the question — control is.
Governed infrastructure
- Approvals on consequential actions
- Audit logs & the “report back” record
- Tiered, role-based access
- BYOK or our metered tokens
- Multi-provider: OpenAI / Anthropic / Google
Reliability & approvals
A scoped pilot demonstrates the governed loop end to end: a request, crew action with approvals, and an auditable record of exactly what happened.
Continual learning — the honest roadmap
We’re explicit about what’s live today versus where we’re headed — because over-claiming is the fastest way to lose an enterprise’s trust.
Real at the layers we own
Memory on authenticated lanes, a manually-growing skill library, and riding frontier-model upgrades. Shared patterns lift everyone; your data stays isolated to you and never trains another customer’s agent.
Legibility & control
Not yet shipped — the direction we’re building toward: a customer-facing surface to see where a crew performs well or struggles and tune it, and, further out, products that learn from their own usage. We sell this as the direction, never as available today.
Toward a tuned model
We can help you prepare a training-ready dataset for a model you fine-tune at your own provider. NetShow orchestrates frontier models — we don’t train model weights on your data.
The honest distinction: we don’t retrain the models — we make the whole system around them learn. The harness, skills, memory, and (on the roadmap) the control loop get better, riding frontier models that are themselves getting better. Model-weight training stays at your provider’s layer.
Bring us your hardest workflow
Governed completion, on your terms.
Approvals, audit, BYOK or metered tokens, multi-provider. Scope a pilot on your hardest workflow.
Talk to the team