Skip to content

Travel & Transportation

travel and transportation

Agents read tariffs, orders and manuals in the systems that hold them, and give operations, procurement and service teams cited answers.

What we bring

Passenger and technician answers, one deployment

The same deployment answers travelers in your app and technicians on the floor, from your manuals, schedules and systems.

NeuralSeek

  • App, web and contact center

    Travelers get a cited answer, and an upset traveler can be handed to a person.

  • Manuals and schedules

    Technicians get the manual passage with its source.

  • Your systems, where they are

    Agents query your ERP, databases and APIs where they are, and cite the record they used.

  • Guardrails on every request

    Every question is checked for prompt injection and personal data before the model sees it.

Use cases

What transportation teams can build

  • Maintenance manuals for technicians

    Technicians ask in plain language and get the cited step from the manual, bulletin or work instruction for the equipment in front of them.

  • Traveler and passenger questions

    Bookings, schedules, baggage and fare rules answered in your app or on your site, with personal data masked and a fallback when confidence is low.

  • Service updates

    Scheduled agents read your operations data and draft customer updates for staff to review and send.

  • Safety and regulatory documents

    Search safety rules, inspection records and filings, and draft reports that link each statement to its source.

Grounded answers

Every answer shows where it came from

A technician sees the manual passage behind each answer, with its scores and the checks that ran.

console › seek
A Seek answer with its source phrases highlighted, the session settings, a sentiment gauge and the answer's scores and timings.
An answer with its source phrases highlighted and its scores beneath.

In the console

Agents that run on a schedule

A schedule runs a saved agent at times you set, by minute, hour, day, month or day of the week, so service updates are drafted on time for staff to review.

Last and next run shown.

console › maistro › scheduler
The Scheduler tab: a table of schedules with agent, last run, next run in UTC, description and an Enabled switch per row, and a Select or Create a Schedule panel beneath.
The Scheduler in the NeuralSeek console.

Deployment

Run it where your data already lives

Start on SaaS, or run it next to your ERP in your own cloud or data center.

  • SaaS

    Start today. Our SaaS processes data in Dallas, Frankfurt or Sydney.

    Start now
  • Your cloud account

    Run NeuralSeek in your own cloud account, in the region you choose.

    Ask about deployment
  • Your data center

    Install it on your own Kubernetes or OpenShift cluster, in your own data center.

    Ask about deployment
  • Fully air-gapped

    Run it with no internet connection, with the same guardrails, masking and audit trail.

    Ask about deployment

Governance

Governed, out of the box

By policies you control, on our SaaS or in your own cloud.

  • Per-tenant isolation

    Separate keys per tenant. Your prompts, documents and outputs stay in your tenant and are never used to train models.

  • Encrypted in transit and at rest

    TLS 1.2+ on all network traffic. Data at rest under AES-256. NeuralSeek integrates with your own key management service.

  • No training on your data

    Your data stays yours. Neither NeuralSeek nor its subprocessors use your prompts, documents or logs to train models.

Questions from operations and IT teams

What operations and IT teams ask first.

  1. How is it priced?

    Our SaaS is consumption-based, so you pay for what you use. On your own infrastructure, the license is unlimited.

  2. Does it work with the virtual agent we already run?

    Yes. Connect NeuralSeek to your virtual agent, or call it through the REST API from your own app.

Start building with NeuralSeek today.

Sign up online and start with a two-week trial, or talk to a NeuralSeek expert about running it in your own cloud.