Launch · Connected apps & data
Build software that can live inside the company, not beside it
A useful business application eventually needs data, APIs, and the systems the company already runs. Launch works on top of UbiVibe so the build can move from a standalone first version into connected company software.
Connection model
Use the company stack as operating context for the build.
Why connectivity matters
The first build can be simple. The operating model should not be disposable.
Founders and smaller companies often start with one workflow. As the product becomes important, it may need customer records, finance data, project systems, collaboration tools, or internal APIs. UbiVibe is designed so that growth in connection scope happens around the same product instead of forcing a migration to a different architecture.
01
Connect the systems already in use
A build should be able to work with the company stack rather than forcing the team to recreate business data in a new application.
02
Resolve identity before action
When a build reaches a live company system, the operating context should include the organization, user, and approved connection boundary.
03
Keep secrets and integrations governed
Connections belong to the company operating layer, not to ad hoc credentials pasted into a prompt or prototype.
04
Let the app stay focused on the workflow
Launch can build the interface and business logic while UbiVibe supplies the broader connection and governance layer underneath.
Enterprise-grade connection layer
Access to broad connectivity should not require becoming a large enterprise first.
UbiVibe exposes a broad connection footprint across business systems while keeping tenant identity and approved connection boundaries around execution. Smaller companies can benefit from that architecture early; enterprise deployments expand the governance and administrative scope around the same model.
700+ available connections
Tenant-scoped identity
Approved connection boundary
Traceable execution
The problem
A build against sample data is a design review, not an application.
The gap between a convincing prototype and a usable application is almost entirely about data. Sample data is well-formed, complete, and consistent. Real records are none of those things, and every assumption the prototype made silently gets tested on the first day of use.
The second failure is the copy. A build that imports a snapshot of company data has created a second version of the truth that starts drifting immediately, and the drift is invisible until someone compares the two under pressure.
The third is scope granted for convenience. Connecting with broad permissions because it is faster produces an application with access nobody has reviewed, and the review only happens after an incident makes it urgent.
You're likely here because
- The prototype works and no one will point it at production
- The build holds its own copy of records another system owns
- Nobody can state what the app is permitted to read or write
How it works
How a build reaches real company data safely.
Each step is separable, which is what makes a connection problem diagnosable: the authorization, the reach, the data actually returned, the write, and the evidence that it landed.
Step 01
Authorize the connection
The account grants access through the connection layer rather than through credentials embedded in the build. An OAuth screen is the first link in the chain, not proof of the chain.
Step 02
Scope to the records needed
Access follows the workflow rather than the provider maximum. A build that needs three object types should not hold read access to everything.
Step 03
Read from the source
Context is assembled from the authoritative system when needed rather than imported on a schedule, which removes the copy that would otherwise start drifting.
Step 04
Write back within a boundary
Writes go to the owning system, with an approval gate on anything that changes customer-visible or financial state.
Step 05
Prove it landed
The workflow confirms the write against the source rather than assuming success from a 200 response, and reports plainly when it could not.
Implementation path
Connecting without widening the surface.
- 01
List the record types the build genuinely needs before authorizing anything, and treat that list as the scope request.
- 02
Connect one system first and get the read path correct before adding a second.
- 03
Test against messy real records rather than a clean subset. The edge cases are the requirement, not the exception.
- 04
Add the write path only after the read path is trusted, and confirm the write against the source rather than the response code.
- 05
Set the approval boundary before any write reaches a customer-visible or financial field.
- 06
Re-review scope whenever a new source is added; this is where access quietly widens.
Controls a connected build needs
Controls that matter.
Control 01
Connections are scoped per record type rather than granted at account level.
Control 02
The system of record stays authoritative; the build never becomes a second copy.
Control 03
Writes affecting customer-visible or financial state pass an approval gate.
Control 04
A failed connection surfaces which step could not complete, in plain language, rather than degrading silently.
Limitations
What connecting does not solve.
- It cannot improve data that was never captured. A field nobody fills in produces an honest and useless surface.
- Providers differ in what they expose. Some emit events; others only allow polling, and the design has to account for the difference rather than assume parity.
- A connection that authenticates is not a connection that carries your job end to end. The chain has to be verified at each link.
- It does not remove the need for a data-quality decision. Somebody still has to say which record wins when two disagree.
FAQ
Questions people actually arrive with.
Does the build store our data?
It reads from the authoritative system rather than holding its own copy. That is deliberate: a second copy is a second thing to be wrong, and reconciling the two is work nobody wants to own.
What access does it need?
Only the record types the workflow uses. Broad access is faster to configure and is the thing you will wish had been narrower the first time someone asks what the app can reach.
Can it write back to our systems?
Yes, within a boundary you set. Anything that changes customer-visible or financial state should pass an explicit approval regardless of how reliable the path has been.
How do we know a connection actually works?
By running the job end to end — authorized, reachable, returning usable data, accepting a write, and confirming the write at the source. Anything short of that tests one link and reports on the chain.
Start here
Point it at real records early.
Connect one system, read from it, and test against the messy cases before adding a second. The edge cases are the requirement.
Start with ARIA
Ask ARIA to build it connected.
Describe the application and the systems it has to work with. ARIA builds it and connects it through scoped access your organization approves.
- ARIA acts only through the systems and permissions you connect.
- You can change or revoke any connection at any time.
- Every action is recorded, and anything significant can require your approval first.
Launch
Build the app first. Connect the company as the workflow becomes real.
Start directly with ARIA, then add company data and approved systems through the UbiVibe operating layer as the build expands.