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Gezora.ai

Software built for your business, with AI at the center

Gezora designs and builds custom software with AI built into it, for the problems no off the shelf product solves the way your business needs them solved.

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From discovery to handover

  • Discovery workshop
  • Outcome definition
  • Scope and estimate
  • Iterative delivery
  • Code review
  • Automated testing

The kinds of software we build

  • Internal tools for your team
  • Release pipeline
  • Integrations between your systems
  • Model integration inside the product

What you have when the build ends

  • Scoped against an agreed outcome

    Scope follows an agreed outcome, so nobody pays for a feature nobody needed.

  • Working software early

    Short iterations mean you see and use the software while it is still being built.

  • Problems surface during the build

    Every change is reviewed and tested as it lands, so problems surface early rather than after launch.

  • You own the result

    Source and documentation are handed over at the end, and the code is yours.

From discovery to handover

  • Discovery workshop
  • Outcome definition
  • Scope and estimate
  • Iterative delivery
  • Code review
  • Automated testing
  • Model integration
  • API integration
  • Environment setup
  • Release pipeline
  • Deployment setup
  • Documentation handover
  • Source handover
  • Ongoing support

The kinds of software we build

These are the builds that come up most often, and every one is scoped against an outcome agreed before the estimate was written.

  • Internal tools for your team

    Software for the work your team does every day, shaped around the process they already follow rather than the other way round. It is scoped against a written outcome, so what gets built is what was needed.

  • Release pipeline

    These are the products your customers reach directly, so load, error states, and the paths people take when things go wrong are part of the build rather than a later hardening pass. Each iteration goes in front of real users, and what they do with it decides what the next one changes.

  • Integrations between your systems

    When two systems your business depends on do not talk to each other, we build the connection between them. That turns a handoff someone does by hand into part of the software itself.

  • Model integration inside the product

    The AI is built into the software rather than sitting beside it, so it works on your data and inside your process. The behavior it needs and the outcome it has to produce are settled in discovery, before anyone writes code.

How a build runs

Every engagement follows the same order, from an agreed outcome through short delivery cycles to a handover your team can run on its own.

  1. 01

    Step 1, Discovery

    A workshop settles what the software has to change about the business, and that outcome is written down.

  2. 02

    Step 2, Scope and estimate

    Scope and estimate follow from the agreed outcome, so both sides know what is being built.

  3. 03

    Step 3, Iterate

    Work ships in short iterations you can see and use, rather than one delivery at the end.

  4. 04

    Step 4, Review and test

    Every change goes through code review and automated tests before it reaches you.

  5. 05

    Step 5, Source handover

    Source, documentation, and deployment are handed over so your team can release without us.

Who we build for

Custom work pays off when the process is the business itself and no existing product fits the way that process runs.

  • Teams running the business in spreadsheets

    The process works because a few people know which file to open and in what order, and it stalls when they are away. An internal tool is shaped around the process they already follow, so the way they work stays and the parts that depend on memory go.

  • Businesses whose two systems have no connector to buy

    The two systems the operation depends on have no integration anyone sells, so somebody copies between them every day. We build the connector as part of the product rather than bolting a workflow tool on top of it.

  • Companies with a product their customers use

    The software is what their customers reach, so a bad release is visible to the market the same day. Each iteration goes out to a real group of those customers, and their behaviour, not an internal opinion, sets what the next one changes.

  • Teams with an AI feature to ship

    They can describe the feature but not what counts as a correct answer, so nobody can say when it is finished. Discovery fixes that definition and the acceptance test before the model is chosen.

What ships with the code

Handover means your team can run, change, and release the software without us.

  • Source code handed over at the end
  • Documentation written for whoever maintains it
  • A written outcome the scope was built against
  • A release pipeline your team can run
  • Automated tests that run on every change
  • Environments set up and documented

Everything above is handed over together, so a release does not need us in the room. Support afterwards is available if you want it, and optional either way.

FAQ about Custom AI Software

Straight answers on scope, timelines, and what running Custom AI Software asks of your team.

Other work that pairs with this

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Stop paying people to do what an agent can

Tell us what you want to automate. We will map the workflow, deploy the right agents, and train your team to run them.

  • Every agent is trained on your own workflows, never a generic template
  • Most deployments are live within two to four weeks
  • SOC 2 compliant, with a complete audit trail on every deployment
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