Ready-made infrastructure for AI pipelines

Your run says 1,000 succeeded.
Thirty of them didn't.

They returned a value. Nothing raised, nothing retried, the exit code was 0 — and the answer was wrong. You find out from a customer, two weeks later, and the smallest thing you can re-run is the whole batch.

Papayya grades every item, keeps the input that produced it, and lets you re-drive the one that broke. Queue, retries, per-item state, per-tenant cost — the scaffolding you were going to write around your pipeline anyway, already built.

Book a demo30 minutes. It runs in your cloud.

Here are the thirty.

sample data · the interaction is the product's

One run of tag_tickets. A thousand tickets, four tenants. The run exited 0. 30 of them did not work — and 21 of those finished cleanly and returned a wrong answer, so nothing raised and nothing was retried. Filter it. Re-drive one.

30
ItemTenantRanWorkedCost
ticket_8168openai.rate_limitacmecompleteddegraded$0.0021
ticket_8187openai.rate_limitinitechcompleteddegraded$0.0020
ticket_8209tool.invalid_inputumbrellafailedfailed$0.0021
ticket_8268openai.rate_limitinitechcompleteddegraded$0.0025
ticket_8269tool.invalid_inputacmefailedfailed$0.0020
ticket_8357empty_responseumbrellacompleteddegraded$0.0025
ticket_8368openai.rate_limitinitechcompleteddegraded$0.0019
ticket_8402provider.timeoutglobexfailedfailed$0.0025
ticket_8417empty_responseglobexcompleteddegraded$0.0022
ticket_8431tool.invalid_inputinitechfailedfailed$0.0021
ticket_8451empty_responseglobexcompleteddegraded$0.0021
ticket_8459tool.invalid_inputinitechfailedfailed$0.0019
ticket_8466schema_violationglobexcompleteddegraded$0.0019
ticket_8474schema_violationacmecompleteddegraded$0.0019
ticket_8510openai.rate_limitglobexcompleteddegraded$0.0018
ticket_8576provider.timeoutglobexfailedfailed$0.0024
ticket_8587schema_violationumbrellacompleteddegraded$0.0026
ticket_8621schema_violationglobexcompleteddegraded$0.0023
ticket_8694empty_responseinitechcompleteddegraded$0.0024
ticket_8735schema_violationglobexcompleteddegraded$0.0019
ticket_8810tool.invalid_inputglobexfailedfailed$0.0019
ticket_8860openai.rate_limitinitechcompleteddegraded$0.0025
ticket_8938provider.timeoutglobexfailedfailed$0.0021
ticket_8942openai.rate_limitacmecompleteddegraded$0.0024
ticket_8977empty_responseacmecompleteddegraded$0.0022
ticket_8991schema_violationglobexcompleteddegraded$0.0020
ticket_9011schema_violationumbrellacompleteddegraded$0.0023
ticket_9037empty_responseumbrellacompleteddegraded$0.0018
ticket_9051provider.timeoutinitechfailedfailed$0.0025
ticket_9056openai.rate_limitinitechcompleteddegraded$0.0026
970 of 1,000 worked30 still need a person$2.20 — estimated from your rate card, not a bill

A 150-page report. Page 73 came back blank.

This is a real call, and the numbers are measured rather than imagined. What changes is not the speed — it is whether there is anything smaller than the document to ask about.

The pipeline they haveOn Papayya
What can you name?The document. 150 pages arrive as one row, so there is no page 73 to point at.Page 73. Every page is an item with its own id, input, verdict and cost.
How do you fix it?Re-run the document. All 150 pages execute again — 300 page executions to change one.Re-drive page 73. The 149 steps that already worked are reused, not recomputed.
What does that cost?Two days in the queue, and the other 149 pages written downstream a second time.40 seconds. $0.002. Nothing downstream moves that did not need to.
How did you know?A customer told you. The run reported success.The item is graded on the way through, so page 73 was in the work list before the call.

150 pages · 300 page executions to fix one · vs 1 executed, 149 reused · 40s · $0.002