◉ how our platform solves this · media/broadcast
frame the shot. we cut the rest.
The cut is the point. But the timeline rides on grunt work — footage ingested and logged, proxies and conforms, version sprawl across rounds of notes, the delivery specs each outlet wants, the same export re-run for a fix. It is the work around the edit, and it never finishes.
◉ 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 — “log the clips, assemble the cut, stage delivery.” 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 in the cut · agents handle the rest
The cut stays yours. Media ingest, transcoding, the export passes, the delivery specs — the agents handle the busywork around the timeline while you stay on the story you’re telling. You keep your hands on the edit instead of babysitting renders, and nothing is delivered without your sign-off.
- 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.