Your AI in their workspace today. The AI FDE next.

Forward deployed engineering, as software.

Ship your product, and your AI, into your customers' own workspaces. Connect it once. For every customer you sell into, Meetext handles deployment, the assistant, authorization, security review, validation, versioning and operations

3source types
3health layers
1link per customer

2 customer environments free, forever. No trial, no card, no sales call. Sign up and deploy.

Your customers do not all work in the same place. Meetext installs into the environments they already have, so nobody is asked to adopt a new tool to use your product.

AtlassianGoogle WorkspaceHubSpotMicrosoft 365SalesforceServiceNowSlack

All 7 are in preview: the adapters are complete and none has yet run against a real provider account. More are coming, and none of them will claim to work before it does.

Build once. Deploy, and answer, in every customer's workspace.
Meetext
capability spec
from MCP server
Your AI
answers in chat, from the same spec
Slack asks forcommandschat:writeapp_mentions:readyour AI answers hereLeast privilege, derived from your capability mix.

You built software. You sold it to an enterprise.
Now somebody has to

  • understand their environment
  • get through security
  • configure identity and permissions
  • deploy the right capabilities
  • deal with admins
  • prove it works
  • handle version differences
  • diagnose failures
  • repair it
  • upgrade it

and keep doing it for every customer. Today that person is a forward deployed engineer, a solutions engineer, or your best backend engineer having a bad quarter.

Meetext turns the repeatable parts into software.

The product

Every deployment, provably working, or you know exactly why not.

Capabilities

You decide what leaves your product.

Meetext lists everything it discovered and exposes none of it. Selecting a read-only capability approves it. Anything that writes or deletes needs a deliberate second approval. If your source later changes that operation's shape, the approval is revoked until a human looks again.

  • Risk classified by deterministic rules
  • Destructive operations gated behind explicit approval
  • A changed schema never silently ships
Acme AI · capabilities
search_campaignsNot exposed
get_sponsorship_metricsNot exposed
generate_reportNot exposed
delete_customerNot exposed

Validation

OAuth returning 200 is not proof of anything.

When a customer finishes authorizing, Meetext makes real calls: it authenticates, checks the granted scopes against what your capabilities need, round-trips its own MCP endpoint, and executes a read-only capability end to end. Only then is the deployment healthy.

  • Every check a real observation, never a token lookup
  • Failures carry the exact remediation
  • Evidence stored against the deployment
Nike · Slack · validating
authentication_valid
required_scopes_present
destination_api_reachable
mcp_reachable
capabilities_discoverable
test_operation_successful
webhook_reachable
customer_configuration_valid
Running checks…0/8

Health

When something breaks, the reason decides the state.

A dependency outage degrades and names the dependency, so your product is not at fault. A removed scope asks the customer to re-authorize. A revoked grant disconnects and hands them a reconnection link. You are notified on every transition, and on recovery.

  • Continuous checks from day one
  • Token refresh before expiry
  • Alerts that say what to do next
Nike · Acme AI · Slack
Healthy12 capabilities
All checks passing.
Last checked 2 minutes ago
No action needed. You are notified only when something changes.

The control plane

Your product has versions. Your customer deployments should too.

Nike is working. Pepsi is waiting on an administrator who has not checked their queue. Adidas is degraded because Slack is having a bad afternoon. Visa revoked the grant. Four different conversations with four different people, and a single health number would describe none of them.

Why a customer deployment is an object

Acme AIProduct v7
CustomerRunningState
Nikev5Healthy
Pepsiv7Waiting on admin· Admin consent
Adidasv6Degraded· Slack
Visav4Disconnected· Grant revoked

Four customers, four versions, four states. None of them is wrong.

And then the part they asked for

The same deployment carries your AI.

Once a customer is installed, their staff can ask your assistant a question in the chat tool they already have open. It answers under your name, using that customer's own data and permissions, bounded by the version they installed and what they are entitled to.

Not a second product and not a second integration. The deployment that took an afternoon is the thing the assistant arrives through, which is the difference between shipping AI to one enterprise and shipping it to forty.

What your assistant is handed, and what we never touch

Forward deployed engineering should scale like software.

It is the least scalable role in enterprise software, and it is growing because AI products are being sold to enterprises faster than anybody can deploy them.

Not an MCP host

Hosting an endpoint is the smallest part of this.

Not an automation builder

It does not wire your apps to each other.

Not a unified API

It deploys your product, it does not abstract others.

Not a consultancy

There is nobody to schedule.

Meetext is the infrastructure, and eventually the software forward deployed engineer, between a software vendor and every enterprise customer it deploys into.

Read further

2 environments free

Stop assigning an engineer to every customer.

Connect a source, publish, and send one link. Your next enterprise customer installs itself.

2 customer environments free, forever. No card required.