The Method Standard v1.0 is published. Read the standard

Public Proof

When a citizen asks whether the promise was kept, who answers?

Publytics builds the data and AI infrastructure that public institutions run on — the layer between government, the people it serves, and the organisations that work alongside both.

PUBLICATION ENGINEDISCLOSURE GATELANGUAGE LAYER · TAMIL-FIRSTEVIDENCE LEDGERCIVIC RECORD MODEL

The platform · five layers · illustrative

Live
Signals monitored12
LanguagesTamil-first
ReviewHuman-led
Method Standardv1.0

Most institutions can report what they announced and what they spent. Almost none can show the chain between them.

The gap is structural, not personal. A department can produce a budget line and a press release. It usually cannot produce, on demand and in the language the citizen actually speaks, the record that connects the two — what was committed, what was verified, by whom, when, and with what stated limits.

Owning that evidence chain is what separates an institution that is accountable from one that is merely audited. It is not a reporting problem. It is an infrastructure problem, and it is the one we build for.

Read the full argument

The operating loop

Capture the commitment as it is made.

Every commitment, delivery event, and grievance enters as a typed record at the moment it happens — not reconstructed later from a spreadsheet.

  • One shared definition of a promise, across every department.
  • Multilingual at the schema, not at the presentation layer.
  • The record is addressable, so it can be cited.

The platform

One public-interest infrastructure layer. Five parts.

Modular enough to enter through one operational need. Coherent enough to become shared infrastructure across an institution — because every product addresses the same record model, the same ledger, and the same language layer.

One way to say “a promise,” in every department

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Civic record model

The typed model — promise, scheme, obligation, department, ward, grievance, delivery event, beneficiary, regulation — that all six product families address. Multilingual at the schema, not at the presentation layer.
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Every fact carries the record of how we know it

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Evidence ledger

Source, collection method, version, effective date, confidence and error rate attach to the fact, not to the report. No number renders anywhere in a Publytics product without them.
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Tamil-first means benchmarked, not translated

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Language layer

Retrieval, classification and summarisation over Tamil, Tamil-English code-mixing, dialect and transliteration in civic text. Built on open Indic models; the benchmark and the civic evaluation set are ours.
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A date you can hold us to

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Publication engine

Ships a tracker on an announced date, versioned, with a diff against the previous edition and a machine-readable dataset.
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A workflow that cannot produce its disclosure does not ship

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Disclosure gate

The three-line pattern — where AI is used, what it does not do, who reviews — enforced in code rather than written in copy.
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What you buy

Three systems. Six product families.

The delivery system

Know who you serve, and prove how you served them.

Registries connected, cases routed and closed, service levels visible by ward, commitments tracked from announcement to commissioning.

  • Civic Data & Constituent Intelligence
  • GovTech Workflow & Identity

The obligation system

Show the regulator the discharge, not the intention.

Regulatory tracking and audit tooling built around India’s compliance calendar — and around the DPDP clock that runs to 13–14 May 2027.

  • Compliance & Regtech

The accountability system

Publish a number that survives a challenge.

Field research, legislative and manifesto tracking, multilingual narrative monitoring, and the donor and grant layer that connects a mandate to a programme.

  • Research & Policy Intelligence
  • Narrative & Media Intelligence
  • Fundraising & CSR Infrastructure

AI at Publytics

Every product uses AI somewhere. We state exactly where — and where it does not.

Institutional trust requires bounded systems, not broad claims. The disclosure pattern below is generated from each product’s own configuration, not written by hand — so a workflow that cannot produce its disclosure does not ship.

01

Where AI is used

Classification, multilingual retrieval, anomaly detection, summarisation, and decision support within defined workflows.

02

What it does not do

AI does not make high-impact public decisions, determine eligibility, or operate as a political persuasion system.

03

Human review

People remain accountable for interpretation, escalation, approval, and any action that affects a person or institution.

Tamil-first, multilingual

Designed for Indian-language, dialect, and code-mixed contexts — not English-first assumptions.

See the benchmark

Data stays bounded

Client constituent data is not used to train models outside the client’s governed environment.

Non-partisan by design

We do not sell political targeting or persuasion systems to parties or candidates.

Proof of rigour

The method is part of the product.

Every published tracker and research output makes its evidence inspectable: what was measured, how it was collected, who funded it, when it changed, and what its limitations are.

An example, with its provenance attached: DPDP full adjudicatory enforcement lands 13–14 May 2027 . Click the marker to open the record.

The Method Standard, v1.0

The Method Standard

Publication integrity checklist

v1.0
  1. 01Source and collection method disclosed
  2. 02Funding or commissioning party named
  3. 03Update date and version history visible
  4. 04Limitations stated in plain language
  5. 05Download format and reuse terms specified

Published 4 Sep 2026 · open and versioned

Evidence

Research built to be read, cited, and challenged.

All evidence
Publytics Evidence01

Publytics Is Not a Dashboard Company

A dashboard reports a state. Evidence records a chain.

PublyticsPublishing soon
Publytics Evidence02

The Method Standard

Five items. Certify your output against them, whoever you are.

Publyticsv1.0 · published

Trackers

Method-led public evidence products with downloadable data and clear provenance.

First edition 31 March 2027

Field notes

Concise observations from implementation, standards work, and institutional practice.

Published fortnightly

The refusal log

Every engagement we declined under our boundary, anonymised, dated, with the criteria applied.

Updated as it happens

What institutions ask us first

The questions that start every engagement.

Secretary, state department

“We have the announcement and we have the spend. What we cannot produce is the line between them, by ward, in Tamil, on the day someone asks.”

Compliance officer, GCC

“We have a policy. What we do not have is a record that would survive an inspection in May 2027.”

Supervisory body

“Returns arrive on a cycle, self-declared, in formats that resist comparison. We are supervising a population we cannot see.”

Newsroom, data desk

“We need the dataset, the method, and the ability to disagree with you in print.”

Our boundary

We sell to institutions. Never to contestants.

Publytics does not provide political targeting or persuasion systems to political parties or candidates.

Where our buyer is an elected representative, the engagement is with the public office — paid from public funds, discharging public duties, and its outputs pass to that office’s successor. Where an output concerns an election, it is published openly or not produced at all.

Start a conversation

Bring us the institutional question — not a software shopping list.

We route your enquiry to the right conversation: a government briefing, an enterprise demonstration, or a research partnership.

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