Semantic search for support history

Ticket search that understands what people mean

Upload an Excel or CSV export from GLPI, Spiceworks, Jira Server, SolarWinds SD, or a homegrown helpdesk. Operators find similar solved cases by meaning, without migrating to a new ticketing system.

14-day trial · No credit card · Delete imported data on request

semantic-search.preview
Operator query
confirmation email never arrives
HD-1842 · GLPISolved

Registration notices landed in spam after SMTP change

After the SMTP cutover, the SPF record still pointed to the old sender. We updated SPF and DKIM, then asked the customer to check spam before resending the registration notice.

HD-1717 · Jira ServerSolved

Users do not receive signup notifications

The mail gateway rejected the updated template. We restored the From header, added the address to the allowlist, and resent the notification from the customer profile.

02 / Live demo

One query shows the gap between exact search and semantic search

The data here is local and anonymized. In a pilot, the same screen runs on your exported ticket history.
resolveonce.demo
Operator searches naturally
confirmation email never arrives
HD-1842 · Mar 12, 2026 · GLPISemantic match: mail delivery

Registration notices landed in spam after SMTP change

After the SMTP cutover, the SPF record still pointed to the old sender. We updated SPF and DKIM, then asked the customer to check spam before resending the registration notice.

HD-1717 · Feb 04, 2026 · Jira ServerSemantic match: signup email

Users do not receive signup notifications

The mail gateway rejected the updated template. We restored the From header, added the address to the allowlist, and resent the notification from the customer profile.

03 / Problem

Most support issues have been solved before. Finding the old solution is the hard part

In a support team, solved tickets should be a knowledge base. In practice, they become an archive that only veterans know how to search.

The words do not match

Keyword search misses the right ticket when a customer describes the same incident differently.

History is scattered

Solutions live in old exports, private chats, and the memory of senior agents.

New agents lack context

They are slow because they have not seen last year’s similar cases, not because they cannot solve the problem.

04 / How it works

Three steps, without replacing your helpdesk

ResolveOnceAI does not try to become the ticket system. It makes your existing history searchable.
1

Export tickets

Upload Excel or CSV from GLPI, Spiceworks, SolarWinds SD, Jira Server, or a homegrown helpdesk. Columns are mapped during import.

2

Build the index

Each ticket gets a semantic fingerprint. Indexing runs in the background inside your organization workspace.

3

Search the way agents think

“Customer cannot see payment” finds “paid invoice did not activate service”. Similar solved cases appear in the workflow.

Zendesk and Freshdesk integrations are in development. Early access is available by request.

05 / Who it is for

For teams that need better search, not a migration project

Built for support teams with 5-50 agents and a useful history trapped in legacy systems.

In-house software support

Your team supports a product and sees recurring incidents described in different words.

B2B service teams

You keep ticket history in GLPI, Spiceworks, Jira Server, SolarWinds SD, or a homegrown tool.

MSPs and client support

You need to reuse solutions across clients while keeping access boundaries and context clear.

If your team has three people and a small ticket volume, you probably do not need this yet. Fix intake and ownership first.

06 / Data

The hard question is not AI. It is what happens to your ticket history

We avoid certification theater on the landing page. Instead, we make data boundaries part of the first conversation.

Organization isolation

Each company’s imported history is scoped to its own organization workspace.

No model training on your tickets

Ticket history is used for search inside your workspace, not to train shared models.

On-premise is a discussion

If data cannot leave your environment, we will review constraints before promising a deployment path.

Delete imported data

A pilot can be stopped and imported ticket history removed on request.

07 / Pricing

Pay for the agents who actually search the history

Cloud pricing is per agent. On-premise and private deployments are quoted separately because infrastructure requirements vary.

Team calculator

Starter

For a small team testing search on its own ticket history.

min 3
$19
per agent/month
$190/month for 10 seats
  • Excel/CSV import
  • Semantic search
  • Team workspace
  • Delete data on request
Start trial

Team

For ongoing support work across multiple agent groups.

min 10
$15
per agent/month
$150/month for 10 seats
  • Everything in Starter
  • Roles and access
  • Recurring imports
  • Priority pilot support
Start trial

On-premise / Enterprise

For private environments, strict data boundaries, and self-hosted deployments. Pricing depends on infrastructure and imported history volume.

08 / Pilots

No invented testimonials. Pilot it on your own data

We take a few teams into a free pilot: import your export, test search quality on real tickets, and ask for honest feedback.

Load your export

We take an Excel or CSV file and verify which columns matter for the index.

Measure search quality

We test real agent questions on your ticket history, not generic demo data.

Make an honest call

If it helps, we discuss next steps. If it does not, you still get a clear analysis.

09 / Next step

Give agents a way to search what the team already solved

Try it on your data

Does it work on English support tickets?

Yes. The demo data is English, and pilots are designed around your actual ticket wording and systems.

What if the data changes every week?

A pilot can start with a one-time export. For production, we discuss recurring exports or API import where available.

Can we cancel and remove imported data?

Yes. A pilot can be stopped and imported history removed on request.

Semantic search for support tickets you already have | ResolveOnceAI