AI product companies
You have an MCP server and a waiting list of enterprises who want it inside their own workspace. Every one of them is a bespoke integration project you did not plan for.
About Meetext
The hard part of enterprise AI is the tenth customer.
Meetext is AI-native forward deployed engineering software. Connect MCP, OpenAPI, a repository or a customer database, deploy into enterprise workspaces, and turn customer requests into changes verified against their agreed criteria.
Your team's judgment
Understand the customer. Design the fit.
The repeatable work. Taken care of.
- Package
A version for each customer
- Authorize
The permissions they approved
- Validate
A real capability, executed
- Operate
Health, changes and recovery
Keep the judgment. Lose the repetition.
The thesis
FDE as a service.
The forward deployed engineer is the most valuable person at an enterprise AI company and the least scalable. They read the customer's environment, decide what the product should be allowed to do there, wire the credentials, prove it works, and stay reachable when it breaks. That work is real. It is also the same work every time, performed by hand, for a different customer.
So Meetext takes the repeated part. You connect a source once and approve a capability set once. Every customer after that installs themselves, validated the same way, monitored the same way, with a security review their team can read without a meeting.
Then it keeps going. Customer requests and failing cases become evidence-backed gaps. Meetext groups the demand, prepares a remedy or a repository change, and verifies it against the criteria the customer agreed. The agent handles deployment work when you ask; the engineering loop acts only within the autonomy you allow. Your engineers keep the judgment work, with the customer context already assembled.
A decision
Which operations are safe to expose in somebody else's workspace.
Rules, not judgment about the model.
A credential
Scoped to one tenant, resolvable by that tenant's name alone.
A naming scheme.
A proof
A real call, executed against the real installation, recorded.
Real calls with recorded outcomes.
A monitor
Something that notices when it stops working, before the customer does.
A loop.
Four artifacts. None of them requires judgment about the model. All of them require judgment about the boundary, and boundaries are what infrastructure is good at.
Who it is for
Anyone whose product has to land inside a customer.
Vertical SaaS with an API
Your customers keep asking for your product to show up where their teams already work. You have an OpenAPI document and no appetite for maintaining a Slack app per customer.
Teams whose founder is the FDE
Deployment currently means somebody senior on a call, reading a customer's workspace and wiring credentials by hand. It works, and it does not survive the tenth customer.
What it is not
Being narrow is the feature.
Meetext owns one unit: the customer deployment. Everything it refuses to own is why that one can be owned properly.
Not a workflow builder
There is no canvas, no triggers, no if-this-then-that. Meetext does not compose your product with other products. It ships your product into a place your customer controls.
Not a connector directory
A listing gets you discovered. It does not authorize a tenant, prove the install works, or tell you which of your customers is broken this morning.
Not an agent framework
Meetext is an application for customer deployment and engineering work, not a toolkit for building arbitrary agents. Use your own AI, Meetext-hosted AI or no assistant for customer capabilities; the Meetext Agent operates the deployment system with your permissions and confirmation.
Platform coverage
Built for your customer's workspace.
Asana, Atlassian, ChatGPT, Claude, Cursor, Google Chat, HubSpot, Linear, Notion, Salesforce, ServiceNow, Slack, VS Code and Zendesk are supported today. Visit the integration directory for each destination's capabilities and setup requirements.
If your customers live somewhere we do not ship yet, tell us which and how many. That is how the next one gets picked.
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.