Solutions / Products
For customer-facing software
Build AI features customers can rely on.
Add research, document analysis, recommendations, and complex actions to your product—without building the workflow infrastructure around them.
Customer context
- Account data
- Uploaded documents
- Connected systems
Your AI feature
- Your product rules
- Long-running work
- Typed results
Inside your product
- A cited answer
- A recommendation
- A completed action
What matters in production
The feature is only useful if it works in production.
Trampoline handles the parts that appear after the prototype meets real customers, real data, and real consequences.
01
Return results your product can use
Strictly typed outputs keep the AI response compatible with your interface and application code.
02
Keep every customer separate
Scope data, credentials, and runs by organization so one customer never crosses into another.
03
See why a result was produced
Trace the sources, decisions, tool calls, and release behind every response.
04
Improve the feature without rebuilding it
Evaluate live runs, compare releases, and change the workflow behind a stable product interface.
Example / Account research
How to research an account across private data and the open web without leaking one customer’s context into another.
A product user starts the research from your interface. The workflow can spend minutes or hours reading the allowed sources, then returns a structured account brief your product can render immediately.
Process highlight / 01
One API call starts the work
The workflow runs behind your product while Trampoline tracks its state and progress.
Process highlight / 02
Access follows the account
Each run uses only the data and credentials available to that customer.
Process highlight / 03
Every claim keeps its evidence
The finished brief connects conclusions to the documents and sources that support them.
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