◉ how our platform solves this · media/broadcast
design the light. we run the show.
The look is the point. But the show runs on prep — plots and patch sheets, gear lists and rentals, cue logs versioned, the paperwork each venue wants, the same magic sheet re-drawn when the rig changes. It is the work around the board, and it never quite ends.
◉ the answer
Agentic workflows run ingest → assemble → deliver on your own infrastructure — against your own models — with a human on the gate for anything that acts, and the record written as it goes.
◉ how we solve it · our process
- Chat — you state the goal in plain language; we shape the work with you.
- Flows — it becomes a repeatable workflow, on rails and fully auditable.
- Missions & Fleets — coordinated across as many instances as the job needs.
- Synth · Brainbow · Code Mode · Exec — the right tool spun up for each step: a throwaway utility, a driven browser, code run against your real systems.
- your ground, your gate — every step on your infrastructure, a human approving anything that acts.
◉ the mechanism · what actually happens
One request, walked end to end — every step on your infrastructure, against your own models, with a human on the gate.
- ChatMode
You state the goal in plain language — “build the cue stack and run the show.” ChatMode plans the work and dispatches its built-in agents — planning, data-query, validation, synthesis — to decompose it into pull, analyze, act, assemble. No prompt engineering, no scripts.
- SmartModelRouter
Each step is routed to a model that fits it — a fast model to log and tag clips, a long-context model to read a long transcript or rundown, a strong reasoner to judge a rights or compliance flag — across the providers you register. Bring your own models and run them on your own infrastructure; your unreleased footage, your feeds, and your rights data stays inside your network.
- MCP tools · OBO credentials
Agents reach your media asset manager, ingest feeds, playout system, and rights registry as MCP tools, each call running under your own identity. The platform forwards your scoped credentials per call — no shared token, no pooled service account, no secret pasted into a prompt. Every call is logged.
- Tool Synthesis · Code Execution
Sources never agree on format. Code Execution writes a one-shot Python tool on the fly to write a one-shot transcode or conform tool, run it sandboxed, and discard it — credentials injected at runtime, run in a hardened sandbox, then discarded. No tool is registered, nothing persists.
- AgenticWorkflows
The ingest → assemble → deliver flow becomes a flow of named agents — repeatable, auditable, on rails. And there’s more behind sign-up: automated logging and captioning, multi-platform delivery, and the compliance-and-rights sweeps — the many ways the platform runs this, with more revealed after you sign in.
- HITL approval
Nothing acts until you say so. The human-in-the-loop gate is real architecture, not a setting — any step that would publish or go to air stops and waits for a person; if no one approves, it times out and is denied. You review the plan and the scope, and approve before anything happens.
- Stay on the plot · agents handle the rest
The look stays yours. The paperwork, the plot exports, the gear lists, the cue documentation — the agents run the periphery while you stay on the light in the room. You keep your eye on the design instead of the spreadsheets, and every plot that ships waits for your approval.
- Audit trail · DLP · RBAC
Every model call, every tool call, every approval is written to an append-only audit log — once a decision is recorded it’s frozen, so the trail is tamper-evident. DLP keeps sensitive material inside your network, and role-based access scopes who can do what. It’s a record you can stand behind.
The toil ran itself, it acted only on your nod, and the record is already written — and that’s one flow. Automated logging and captioning, multi-platform delivery, and the compliance-and-rights sweeps are waiting behind sign-up.
◉ go deeper
Run it on your own infrastructure — or with us.
Talk to us to see the platform on your stack — governance, fleet, support, and the enterprise capabilities. Or self-host the platform in your own environment and run the whole thing today.
The platform self-hosts in your own environment — chat, flows, and the ops MCPs. Fleet, Mission, CodeMode, governance and support come with the enterprise platform. Designed for FedRAMP-High deployment.