Sahasa.AI
Platform01Vigil02Customers03Deployment04Company05 Book a demo

Deployment and security

Your code stays where it is. So do the results.

Sahasa.AI runs inside your own cloud, on-premise, or hosted by us. This page covers what each involves, what leaves your network, how a pilot runs and how we charge.

Self-hosted · what crosses the boundary

Three ways to run it.

Fastest start

Managed

An isolated tenant that we operate. Connect a Git provider and a requirements source, use your AI keys or ours, and run the same day. Generated tests still land in your repository.

For regulated and security-sensitive teams

Your cloud or on-premise

Deployed inside your own cloud or data centre, on AWS, Azure, GCP or your own hardware. Code, requirements and results never leave your network.

When you want the outcome, not another tool

Embedded QE team

Either of the above, plus a small senior team of ours inside your organisation. They run the platform, curate suites, triage findings and build the adapters and quality gates you need.

Inside your boundary

What a self-hosted deployment needs.

Compute

  • Runs on your infrastructure

    Containers on your own VMs or cluster. We size it with you for the number of repositories you connect.

Data

  • Stays in your environment

    Results, reports and screenshots are stored inside your network, encrypted with your keys and kept on your retention schedule.

Access

  • Read-only by default

    A read-only token for your Git provider, with write access only to open pull requests if you want that, and a service account for Jira. Single sign-on to the platform arrives in December.

AI calls

  • Your provider, your agreements

    Anthropic, OpenAI, Google, or an internal gateway in front of Bedrock or Azure OpenAI. Prompts and responses are logged in your database.

Updates

  • Signed images, on your schedule

    Pulled from our registry when you choose. The licence file has an expiry date. If it lapses, the platform becomes read-only and your data stays put.

Mar 2027

  • SOC 2 readiness

    On the roadmap for March 2027. Until then, ask us for the architecture and controls documentation.

Pilot

Four weeks, one service, your baseline.

You pick the service. We deploy, connect and come back with results your team can check. The pilot is paid, and the fee is credited if you continue.

Week 1

Connect

Deploy in your cloud or connect to ours. Read-only access to one repository and its requirements. We record the baseline: coverage, open findings, time to get a red build green.

Week 2

Generate

Suites generated into your repository. Bugs, security and the threat model on every pull request from here on.

Week 3

Run

Suites run in your CI. Live UI checks on staging. A traceability matrix for the requirements you gave us.

Week 4

Decide

We triage a real failed build together, then put the new numbers beside the baseline. You decide.

You bring

  • One engineer, about two hours a week
  • A repository and a requirements source (Jira is fine)
  • A staging URL
  • An AI provider key, or permission to use ours

We bring

  • Deployment and connection to your tools
  • The week-one baseline and the week-four comparison

Commercials

How we charge.

Pricing depends on team size, where the platform runs and how much of the work you want from us, so we quote after a short conversation.

Talk to us about pricing

Licence

  • Annual, per named seat

    Every module included. No per-run or per-parallel charges.

AI usage

  • Billed by your provider, to you

    Model usage goes on your own account, so the AI cost is visible to you and carries no margin from us.

Onboarding

  • Scoped before we start

    Connecting your tools and fitting templates and quality gates to your process is a one-off, agreed up front.

Optional

  • Vigil and the embedded team

    Priced separately, so you only pay for what you use.

Next step

Bring one repository.

We'll walk you through Sahasa.AI on a sample project and talk through how it would fit your stack. If it looks useful, we can scope a pilot together.

Or write to [email protected].
  1. 01
    A short call. Your stack, your frameworks, and where quality hurts today.
  2. 02
    A demo. The platform on a sample project, and how it would connect to your tools.
  3. 03
    A pilot, if it fits. Scoped with you around one service.