Dashboards, management information systems, websites and AI-assisted analysis, built by a firm that spends its working life deciding what evidence a decision actually needs. AI does the heavy lifting; the judgement stays human.
The result is familiar: a platform full of data that nobody uses to decide anything.
We come at it from the other end. Because we design indicator frameworks, run the enumeration and write the evaluations, we know which fields will actually be filled honestly in the field, which indicators change management behaviour, and which reports get read.
That is the difference between a system built by a software house and one built by the people who will have to analyse its output.
Offline-first capture for districts without connectivity · instruments built in the local language of enumeration · human-in-the-loop review before any finding is released.
Clients want the efficiency of AI with the reassurance of human judgement. Every PMEye system is built exactly that way: the model accelerates, a person decides.
Models transcribe, summarise, flag and cross-check at speed. Senior specialists review every output, and accountability for each finding rests with a named person, never with the tooling.
Data is collected face to face by trained local enumerators, in the community's own language. Devices, forms and dashboards exist to support that human contact, not to replace it.
Every dashboard figure and AI-assisted conclusion passes human quality review, and findings are validated with the people who took part before anything is released.
Build and engineering capacity is delivered through technical partners; the data design, indicator logic and analytical review sit with us.
Digital-first data collection with built-in validation, and live dashboards that keep donors and delivery teams looking at the same numbers.
MIS for programmes and institutions, built around how the organisation actually works, not how an off-the-shelf product assumes it does.
Sites for organisations that need to be found, understood and trusted by donors, partners and the people they serve.
Applied where it shortens the work without weakening the evidence, with a specialist reviewing the output before it informs a conclusion.
Digital-first field data capture with validation rules, consent protocols and safeguards built into the instrument.
Structured and AI-assisted synthesis, shortening analysis from months to weeks, with specialist review before anything is concluded.
Live dashboards that keep donors, government counterparts and delivery teams on one page rather than three versions of it.
Adaptive management decisions grounded in current evidence, with the system revised as the questions change.
We use automation where it genuinely shortens a task, and we say where we have used it.
A specialist reviews any AI-assisted output before it informs a conclusion. Data-protection protocols govern what is collected, how it is stored and who can see it. If a finding cannot be traced back to the evidence that produced it, it does not go in the report, and that rule does not change because a model produced the first draft.
Yes, and it is the more common case. We start by reviewing what you already report on and to whom, because the fastest improvement is usually removing fields nobody uses rather than adding new ones.
Yes. Ownership, hosting arrangements and data-protection responsibilities are agreed in writing at inception, along with what happens at the end of the engagement.
It has to. Much of our fieldwork is in districts with intermittent or no connection, so offline capture with later synchronisation is a design assumption rather than an added feature.
AI is used to accelerate synthesis and quality checking, never to reach a conclusion unreviewed. A specialist checks the output against the underlying data, and we disclose where automated assistance was used.
Yes. Structured knowledge transfer is part of the engagement, and we deliver training in English, Urdu and Pashto, and in our other working languages for international assignments. See our training and capacity development work.
Start there and we will tell you what system you actually need, which is sometimes less than you were expecting.