Turn pupil data
into clear next steps.

Pupil Progress AI brings assessment and practice data together, highlights the gaps that need attention and suggests practical actions based on the evidence, with the level of confidence shown for each recommendation.

Two school leaders talking over a tablet in a bright school, pupils working at a table behind them

Bring the data together and see where to focus.

Pupil Progress AI combines assessment and practice data from across the trust into one clear view. It shows where the gaps are, how strong the evidence is and which actions are worth considering, while keeping the source of every figure visible and the final decision with school and trust leaders.

The product

See the whole picture

Signals that lived in separate systems, read together at the level you are accountable for. Each figure carries the source it came from, and anything the data cannot answer says so rather than guessing.

The Pupil Progress AI trust dashboard: maths accuracy, diagnostic currency, practice intensity and engagement, each card labelled with the system its figures came from
Real figures from a live trust deployment. School and trust names are masked for publication; every number on the screen is the real one.
The Priorities screen in Pupil Progress AI: four ranked actions, each with a confidence score, the strength of the evidence behind it, the number of pupils it reaches and the system the signal came from
Real figures from a live trust deployment. School and trust names are masked for publication; every number on the screen is the real one.

Priorities

Know where to look next

A priority says where the evidence suggests attention would be most useful, how confident the product is in plain words, what it is basing that on and how many children it reaches. It is the start of a professional conversation, not a verdict, and every one can be overruled.

Where it came from

Built with a trust, not sold into one

Pupil Progress AI began as a national multi-academy trust’s own question about turning data from several platforms into better professional decisions. It is deployed bespoke to each trust’s data.

Emily, National Lead for Strategy and Innovation at Oasis Community Learning Trust

EmilyNational Lead for Strategy & Innovation
Oasis Community Learning Trust

We came to askKira with an idea for using tech and data from multiple platforms to make teachers and leaders in-the-moment, data-driven, expert-practitioners.
Together we have built something exciting, innovative, purposeful with the power to meet children at the forensic position to maximise their potential!

The AI suggests.
People decide.

Professional judgement is not a step in the workflow. It is the point of it.

How it works

Four rules the whole product is built on

Not a dashboard with an AI bolted to the side. The order these happen in is the product.

01

Compute, then narrate

Every figure is calculated from the trust’s own data by code. The AI writes the explanation and never the number.

02

A source on every number

Each figure carries a label saying which system it came from, so any claim can be traced back and checked.

03

Gaps that are real

Group gaps carry a statistical significance flag, so a small difference is not mistaken for a problem.

04

The AI suggests, people decide

Recommendations arrive as proposals with their evidence attached, and every one can be overruled.

For trusts

One read of the data, four things to do with it

The same computed evidence underneath, scoped to what each person can actually act on, rather than one dashboard handed to everybody.

TrustWhere the gaps actually are

Across every school, with the confidence stated, every figure labelled with where it came from, and priorities that become an action plan with an owner.

PrincipalThe part of it you can act on

A view scoped to one school, with the action most likely to close the gap and the evidence behind it, and recommendations you can overrule.

Subject leadWhere the subject is moving

The picture for your subject rather than the whole trust, with an action plan ready to print for the conversation you are about to have.

TeacherIn the moment, not at the end of term

The picture for the children in front of you. Computed figures and a plain-English explanation, with no new platform to learn in order to read a number.

askKira Secure AI

Pupil data, treated like pupil data

  • No special category data. The product is built to work without it, on a pseudonymous pupil reference rather than names, dates of birth or UPNs.
  • Processed in the UK. Pupil data is handled inside UK-hosted AWS infrastructure in London.
  • Never used to train an AI model. A trust’s data is used to answer that trust’s questions and nothing else.
  • Cyber Essentials certified, with the trust and governance pack available for your due diligence.

Turn pupil data into clear next steps.

Pupil Progress AI is deployed bespoke to each trust. Tell us what you want to understand, and we will show you what it would take.

Talk to us about your trust