Fresh Eye Foundation builds intelligence infrastructure for India's underserved public systems.We identify domains where the gap between lived experience and institutional knowledge is widest — and we build the data layer that closes it. Anonymous. AI-powered. Designed for board-level adoption. We began with education.
India's public systems — education, healthcare, civic governance — serve over a billion people. They are among the most consequential institutions on earth. And yet most of them operate withminimal structured feedback. Decisions are made on census data taken years apart, annual surveys with narrow samples, and institutional intuition handed down through generations.
"The people inside a system always know more about what is broken than the people above it. The problem is they have no channel."
Fresh Eye Foundation was built around a single conviction: the people inside public systems — students, teachers, nurses, frontline workers, citizens — are sitting on vast reservoirs of knowledge about what works and what doesn't. That knowledge is currently invisible to the institutions that could act on it. Our work is to make it visible — anonymously, safely, and in a form that institutions can actually use.
We are not an NGO that runs programmes. We are not a think tank that publishes reports.We build infrastructure — replicable, scalable data-collection and intelligence systems designed to be adopted as standard practice inside public institutions. The model is the same in every domain we enter. The instruments change.
Each field we enter follows the same model: anonymous collection, AI intelligence, composite benchmark index, institutional adoption. Education is where we proved it. The others are coming.
CatalystBox is Fresh Eye Foundation's first operational instrument — a national education intelligence platform collecting anonymous QR-based feedback from students, teachers, and parents, processed through an AI analytics engine to generate the CatalystBox Benchmark Index.
The CBI is a composite school quality score designed to sit alongside UDISE+ and ASER data in board-level policy conversations. It operationalises NEP 2020's mandates on holistic education, student wellbeing, and data-driven governance — dimensions that exam scores alone cannot capture.
28,000+ CBSE and CISCE schools are in the directory. Pilot schools are being activated. Board-level dashboards are live. We are not describing a vision. We are building the thing.
Explore CatalystBoxWe are not here to run programmes, publish reports, or consult for fees. We are here to build the data infrastructure that India's public systems should have had a generation ago.
Fresh Eye Foundation is a civic intelligence organisation. We identify the domains where lived experience is richest and institutional knowledge is poorest — where millions of people interact with public systems daily, generate profound signal about what is working and what is broken, and have no channel to make that signal visible. Then we build that channel.Permanently. Anonymously. At scale.
"The name is the idea. A fresh eye sees what familiarity has made invisible."
Every institution, however well-intentioned, eventually develops a kind of institutional blindness. Familiarity dulls perception. The systems that have been running for decades — schools, hospitals, local governments — stop asking basic questions about whether they are actually working, because asking would require hearing the answer.
A fresh eye is what those systems lack. Not an audit. Not a ranking. Not a survey conducted once a decade. A continuous, trusted, anonymous channel through which the people inside the system — the student in Seat 23, the ASHA worker at the PHC, the resident waiting at the municipal counter — can tell the institution what they actually see, feel, and experience.
The most valuable knowledge about what is broken usually lives at the bottom of the hierarchy. Fresh Eye Foundation's entire purpose is to move it to the top.
India manages its public systems with data that is old, narrow, and collected from the outside. Census surveys. Annual inspections. Board examinations. These are valuable, but they are snapshots — taken by outsiders, infrequently, with limited scope. They cannot capture the texture of daily experience. They cannot tell you that the teacher in Class 8B has been demoralised for three terms. They cannot tell you that students in a particular district consistently feel unsafe. They cannot tell you that a new health protocol is being misapplied at the ground level because no one trained the frontline workers properly.
The people who could tell you those things — students, teachers, parents, workers, citizens — are silent. Not because they have nothing to say, but because no one has built a trustworthy, anonymous, persistent channel for them to say it. That is what Fresh Eye Foundation builds.
These are not aspirational statements. They are operational constraints. Every instrument we build, every decision we make about data architecture, every partnership we accept or decline — these values are the filter through which every choice passes.
We will never collect personal identifiers. Not names, not email addresses, not device IDs, not biometric markers. The moment a respondent has reason to wonder whether their response can be traced back to them, the feedback system fails. School codes are the only identifier in our architecture — and that is a permanent design choice, not a current limitation.
Our job is to build the pipe, not to control what flows through it. We collect data, process it into intelligence, and deliver it to institutions. We do not advocate for specific policy outcomes. We do not publish rankings designed to shame. We do not use our position as data intermediaries to push institutional behaviour in any particular direction. The data speaks. We translate. Institutions decide.
We will never inflate our numbers, overstate our reach, or claim capabilities we have not built. When we have ten pilot schools, we say ten. When a data pipeline is broken, we fix it before we report on it. Institutional trust — from education boards, from ministries, from CSR funders — is our most important asset, and it can only be built on a foundation of radical honesty about what we have and have not achieved.
Our respondents include children. That is a profound responsibility. We will not optimise for engagement, response rate, or data volume at the expense of respondent safety. The DPDP Act 2023 sets the legal floor. Our ethical standards sit higher. No gamification that could manipulate a child's response. No data retention beyond what is necessary. No third-party access to individual-level data under any commercial arrangement.
The highest expression of our work is when an instrument we built becomes so standard that people forget we built it — when the CBI appears in ministry reports the way UDISE+ data does today, unremarkable because it is simply there. We do not build for brand recognition. We build for adoption. Every design choice we make should make our instruments easier for institutions to own, not harder.
India's problems do not wait. We do not build one thing, declare victory, and then begin the next. We move across domains in parallel, at different stages of development — proving the model in education while scoping it in health, building while planning, learning while operating. This is not impatience. It is the appropriate pace for a country of 1.4 billion people and systems that have been underfunded for decades.
CatalystBox was deliberately scoped to schools first — where the feedback gap is widest, the institutional receptivity to NEP 2020 alignment is highest, and the data infrastructure is most absent. But education does not end at Class 12. The second phase of our education intelligence work will extend into India's colleges and universities — a system of comparable scale, with the same near-total absence of structured student voice.
We do not run after-school activities, teacher training workshops, or scholarship schemes. Those are valuable. They are not what we do. We build the data layer that tells others where those interventions are most needed.
We build anonymous, AI-powered data collection and intelligence infrastructure designed for adoption by public institutions. We are measured not by programmes delivered but by institutions that use our data to make better decisions.
We do not publish reports. We do not offer advisory retainers. We do not produce white papers on what should be done. We build the actual thing — working software, real data pipelines, live dashboards.
The analogy we reach for is GSTN, UDISE+, or the UPI stack — not a product that schools subscribe to, but infrastructure that becomes part of how the system operates. That is the ambition. That is what we are building toward.
We will never sell individual-level data, respondent-identifiable records, or any dataset that could be used to profile, target, or penalise specific people or institutions. Our commercial relationships are built on aggregated intelligence, not on selling raw data.
We sit between the people inside public systems and the institutions that run them. Our independence — from government, from schools, from commercial EdTech — is the source of our value. The signal is only credible if no one with power over the respondents also has power over us.
We are at the early stages of proving this model in education. We are looking for partners who share the conviction that public systems deserve better data — and who have the reach, resources, or relationships to help us get there.