Pupil Progress AIpowered by askKira

Find the gaps in pupil progress
and the actions most likely to help.

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.

Trust dashboard

See data from separate systems together, with every source shown

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
The trust dashboard, with 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
The Priorities screen, with 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

See where attention would be most useful, and how confident it is

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!

Every recommendation shows its evidence and confidence.
A person makes the decision.

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

How it works

Four rules that make every number traceable and every decision yours

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

01

Code calculates the numbers. The AI explains them.

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

02

Every number shows where it came from

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

03

Every group gap is checked for significance

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

04

You can overrule every recommendation

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

For trusts

Each role sees the part of the data it can act on

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

TrustSee the gaps across every school

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.

PrincipalYour school’s gaps and the action most likely to close them

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 leadYour subject’s picture, with a printable action plan

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.

TeacherPlain-English figures for the children in your class

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

No pupil names, UK-hosted and never used to train AI

  • 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.

Bring your trust’s data together and see where to focus.

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

Questions people ask

Pupil Progress AI, answered.

What is Pupil Progress AI?

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

Is Pupil Progress AI built for multi-academy trusts?

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

Does the AI in Pupil Progress AI calculate the numbers?

No. In Pupil Progress AI every figure is calculated from the trust's own data by code, and the AI writes the explanation but never the number.

How does Pupil Progress AI avoid flagging gaps that are not real?

Pupil Progress AI attaches a statistical significance flag to group gaps, so a small difference is not mistaken for a problem.

How confident is Pupil Progress AI in its recommendations?

Each Pupil Progress AI priority states how confident the product is in plain words, what it is basing that on and how many children it reaches, and every one can be overruled.

Does Pupil Progress AI use pupil names or special category data?

No. Pupil Progress AI is built to work without special category data, on a pseudonymous pupil reference rather than names, dates of birth or UPNs.