Deploy
Deployment infrastructure
Connect your product once. Meetext handles customer-specific deployment, authorization, security review, validation, versioning, health and ongoing operations across every enterprise environment. This is running now.
Control plane
A control plane for every customer deployment.
The durable layer between your product and every enterprise tenant: frozen packages, customer-scoped credentials, legal state transitions, real validation and a history you can replay.
Your next release
One product. More than one customer version.
Every customer has a story.
| Customer | Workspace | Version | State |
|---|---|---|---|
| Northstar | v7 | Healthy | |
| Orbit | v7 | Validating | |
| Forma | v6 | Waiting | |
| Arc | v5 | Degraded |
One view. Every deployment.
From deployment to verified change
Three connected layers: operate the deployment, understand the customer evidence, then act within the authority you gave it.
Understand
Deployment intelligence
The operational record captures what worked, what failed and what changed for each customer. Incidents are fingerprinted and correlated with changes; requests and failing cases become routed gaps. Resolution evidence records whether the cause is attributable rather than inventing certainty.
Act and verify
The software FDE
The Meetext Agent proposes deployment actions through the same permissions and checks as the dashboard. The engineering loop can draft changes and open evidence-backed pull requests within the autonomy you allow. Customer-written acceptance criteria decide whether a gap is resolved, not the existence of a diff.
What the plane controls
One product, many customer deployments, each with its own version, state and history. The control plane is what makes that a fleet you operate rather than a list you maintain.
- 9 deployment states, with legal transitions between them
- A frozen package per customer, so publishing does not move anybody
- Rollback targets that are earlier deployments which actually worked
- Credentials scoped per environment, never shared across customers
- Health on three layers, reported separately
- An append-only history you can replay
Acme AIProduct v7
| Customer | Running | State |
|---|---|---|
| Nike | v5 | Healthy |
| Pepsi | v7 | Waiting on admin· Admin consent |
| Adidas | v6 | Degraded· Slack |
| Visa | v4 | Disconnected· Grant revoked |
Four customers, four versions, four states. None of them is wrong.
What Meetext already knows about one deployment
For any customer environment, Meetext assembles a single document from the records it already holds. It is a projection, not another place to edit: nothing writes to it, and if it disagrees with the underlying records the records win.
- what Nike runs
- what Nike approved
- what changed
- what failed
- what was tried
- what previously worked
- what can be rolled back
- who needs to act
Inference never becomes fact
A derived value keeps its confidence, what it was derived from, and which ruleset produced it. Flattening "likely restricted, inferred from one Microsoft error code" into "restricted" would let an agent act on a guess with the confidence of a measurement, and nothing downstream would record that it did.
It carries no secrets, no tokens, no raw provider messages and no customer data. That is enforced when the document is built rather than promised in a policy, because a document like this ends up in tickets and escalations.
This operational context is what allows Meetext to automate progressively more of the forward deployed engineering job. The record comes first. The automation is only as trustworthy as what it reasons over.
Your next customer is waiting.You build the product.
You build the product.
We take it from here.
Connect a source, approve what ships and send your customer an install link. 2 customer environments free. No card required.