For support and engineering teams
From support ticket
to draft PR.
Mapped to code.
Support sends prose. Engineering needs a file and a function. Watari turns Zendesk, Intercom, and Freshdesk tickets into draft pull requests on GitHub or Azure DevOps, mapped to the code that owns the bug, and tells your customer once production confirms the fix.
Which seat are you in?
The handoff hurts in three different chairs.
Run support
Real bugs drown in your queue. The handoff to engineering is manual and invisible.
Every real bug leaves as a structured, mapped report, and you hear when it’s fixed.
See how →Run engineering
Escalations arrive as vague prose, not actionable bugs. Triage burns your senior engineers.
They arrive pinned to the owning file and function, with a draft PR already open.
See how →Run the company
Slow time-to-fix churns customers. The loop back to them never closes.
Faster fixes, a closed customer loop, and you only pay when a bug is mapped.
See how →
The handoff today
Where support-ticket-to-fix breaks today.
Five places the handoff falls apart between your help desk and a merged PR.
Stage
Today
With Watari
Triage
Today · Triage
An engineer reads the thread, asks for repro, switches to the repo.
With Watari
It arrives structured (severity, repro, the customer’s own words) in Linear or Jira.
Repro
Today · Repro
Reproduce locally: version mismatch, missing browser, flaky data.
With Watari
The repro comes attached: screenshots and devtools captures already read for you.
Mapping
Today · Mapping
Grep, scroll, and ask in #engineering which function owns this.
With Watari
It lands pinned to the exact file, function and line.
Draft fix
Today · Draft fix
Write the patch, write the test, push the branch.
With Watari
A draft PR, patch and test, is open and passing CI.
RCA
Today · RCA
The customer reply slips for days; “fixed” goes out on merge, not deploy.
With Watari
The customer hears “fixed” the moment production confirms it, in their own language.
The loop
Ticket in. Draft PR out. RCA when production agrees.
- 01
Intake
Your Zendesk, Intercom and Freshdesk tickets arrive on their own, screenshots and recordings included.
- 02
Extract
Each real bug leaves with severity, repro steps and the customer’s own words.
- 03
Map
It lands pinned to the file and the function that own it.
- 04
Draft
A draft pull request, patch and test, opens on GitHub or Azure DevOps.
- 05
Verify
Your CI decides. Reviewer comments regenerate the fix instead of starting a new thread.
- 06
Close
The customer hears "fixed" once production confirms it, in their own language.
Receipts
Real bugs. Real repositories. Checkable.
Watari read each issue and nothing else, then pointed at a file. The third link is the maintainer’s own merged fix, which is how you know the answer was right.
apache/dolphinscheduler
issue #18562the maintainer’s fix #18408 changed that fileWatari returned
dolphinscheduler-common/src/main/java/org/apache/dolphinscheduler/common/utils/FileUtils.java
lines 127-144 · writeContent2File() · confidence 0.99
langflow-ai/langflow
issue #13827the maintainer’s fix #14028 changed that fileWatari returned
src/backend/base/langflow/memory.py
lines 187-236 · aadd_messagetables() · confidence 0.95
jellyfin/jellyfin
issue #17683the maintainer’s fix #17761 changed that fileWatari returned
Jellyfin.Api/Controllers/SubtitleController.cs
lines 548-579 · GetFallbackFont() · confidence 0.95
The top-ranked file was one the merged fix actually changed 56.5% of the time (61 of 108, 95% CI 47.1% to 65.5%), on a sample frozen in a public commit before the run. All 108 cases are published, the 47 we missed included. These three were picked by a rule, not by hand: highest confidence first, one per repository, among the cases where the top-ranked file was correct and the returned lines overlap the lines the fix changed. Every case, and how to check us.
We did not build another ticket router. We built the missing step between the customer’s words and the diff your reviewer opens, mapped to the line.
60%
of engineering-fixed bugs originate from customer reports.
Sentry State of Errors, 2024
Your support queue is already the backlog. You pay only when a bug is mapped to code, so the cost tracks the work rather than the ticket count.
Trust
Your code is safe, and you only pay when we’re right.
Never trained on your code
Your source is read only to index it and to draft a fix. We never train models on it.
Encrypted and isolated
Tokens and webhook secrets are AES-256-GCM encrypted. Every tenant row is walled off by Postgres row-level security.
7-day mismapped credit
Map to the wrong file? Flag it within 7 days and the bug is credited on your next invoice: no refund request, no support ticket.
Mapped Issue
Every real, reproducible bug hiding in your support queue, plus every small feature request that points at code you already have, ranked against the files and functions most likely to be the cause. That is a Mapped Issue. The PR draft, the customer-facing RCA, and tracker sync to Jira, Linear and GitHub Issues come bundled and are never billed. You only pay when we hand you something actionable and somewhere to start, never for a vague ticket or an open-ended request, and a mapping that misses is creditable for 7 days.
Pricing
Simple, transparent pricing.
Pay only when we map an issue to your code. Drafts, RCA, and tracker sync bundled, never billed.
Starter
$400/mo
20 Mapped Issues
- Popular
Growth
$900/mo
60 Mapped Issues
Scale
$1,800/mo
150 Mapped Issues
Built for the support & engineering stack you already run
Frequently asked questions
What is a Mapped Issue?
A Mapped Issue is a structured bug report paired with the file and function our retrieval ranks as the most likely cause. We bill once it qualifies, before delivery. PR drafts, customer RCAs, and Jira/GitHub sync are bundled. The ranking is not a certainty, so the top-ranked file is creditable as Mismapped for 7 days, and our measured hit rate is published in full.
Which support platforms does Watari read tickets from?
Zendesk, Intercom, and Freshdesk today via webhook ingest. Each ticket is normalized, attachments (including screenshots) are analyzed by a vision-aware model, and the result is structured against a strict schema.
Which source hosts does Watari open pull requests in?
GitHub and Azure DevOps (Azure Repos). A bug is routed to whichever repositories its code actually lives in. You can even mix GitHub and Azure DevOps repos in one workspace, and Watari fans out a PR to each. GitLab and Bitbucket are on the roadmap.
What if Watari maps to the wrong file?
You have 7 days from the bill date to flag a Mapped Issue as mismapped from the bug detail page. We issue a credit on your next invoice: no refund, no support ticket required.
Is my source code safe?
Yes. We don't store your source, only vector embeddings and structural metadata (file paths, line ranges). When we need the actual code to map a bug or draft a fix, we fetch it from GitHub or Azure DevOps at the indexed commit and discard it. Tokens and webhook secrets are AES-256-GCM encrypted, tenant data is isolated via Postgres row-level security, and we never train models on your code.
Why don't customer support tickets become engineering bugs today?
Engineers re-read threads, repro by hand, and grep for the affected function. Watari skips those three steps by extracting a structured bug + mapping it to the file and function before it reaches a human.
How is this different from Zendesk → Jira or Zendesk → Linear sync?
Sync forwards the ticket text to engineering. Watari extracts a structured bug, maps it to the code, drafts the fix, and writes the customer-facing RCA back after the deploy lands. The customer hears 'fixed' when production agrees, not when the support agent applies a tag.
Your next support ticket arrives as a draft PR.
Connect Zendesk, Intercom, or Freshdesk, then GitHub or Azure DevOps. Tickets land mapped to the file, function, and line, ready for your reviewer to take over.
- Trial length
- 14 days
- Bugs included
- 10 Mapped
- Card required
- No
- Mismapped credit
- 7 days
- Cancel
- Any time
You only pay when we know what to change.