News & Media Intelligence
Local and regional news, digital publications, broadcast transcripts and press releases — tracked for issue trends, sentiment and tone.
Solutions · OSINT Intelligence
Open signals, responsibly read.
The Civiq.plus OSINT engine collects, analyses and structures publicly available data from many sources into actionable intelligence for governance teams, public institutions and civic organisations. Twenty-one modules cover collection, context, delivery, analysis and evidence — and every finding carries the sources and confidence behind it.
The line we hold
Aggregate intelligence, not surveillance
Open-source intelligence can be done responsibly or invasively, and the difference is a design decision rather than a setting. Civiq.plus builds OSINT for aggregate geographic, cohort and community understanding. It does not create covert individual-level psychographic scores or hidden persuasion profiles, does not fabricate public support, and works only through permitted sources. That constraint is architectural — it shapes what the modules can do, not just how they are configured.
- Aggregate signals, never individual tracking
- Permitted sources under each platform's own terms
- Confidence and provenance on every finding
- Risk flags raised for human review, not automated verdicts
What the engine will not do
- Build individual psychographic or persuasion profiles
- Scrape sources whose terms do not permit analysis
- Present a low-coverage signal as a confident finding
- Adjudicate truth automatically on a flagged claim
- Export personal data without an explicit permission scope
Collection
Where the signal comes from
Six modules gather from open, published and permitted sources. No single one is trusted alone — each is calibrated against the others and against representative survey data.
Social & Public Sentiment
Public conversation across X, YouTube, Reddit, public Facebook, public channels, blogs, forums and comment sections — read in aggregate, never per person.
Video Intelligence
Local news channels, issue videos, public speeches and comment activity — with view velocity and narrative tracking over time.
Search & Interest Intelligence
Public search-behaviour trends, issue velocity, keyword spikes and shifting local topic interest across a period.
Geospatial & Satellite Intelligence
Satellite imagery, land-use change, flood mapping, infrastructure progress, urban expansion and environmental change.
Open Data Integrations
Connectors into published government datasets and open data portals, so official figures sit alongside public signal rather than in a separate report.
Context
What makes a signal mean something
A number without its place, its history and a comparable peer is trivia. These modules supply the frame the rest of the analysis reads against.
Constituency Demographics
Published population, age, gender ratio, literacy, occupation, income and social composition data, with the urban–rural split.
Issue Trend & Heatmap
Live issue heatmaps with ward and booth-level problem mapping, trend acceleration and severity scoring.
Benchmark & Comparison
Compare a geography against similar ones, against state and national averages, and against its own earlier periods.
Electoral Records Intelligence
Historical public election records — turnout, vote share trends, margins, NOTA and booth-level participation — as published by the electoral authority.
Delivery & accountability
Official record against lived experience
Five modules follow what was promised, what was funded, what was built and what people actually report — and make the distance between them visible.
Government Initiatives Monitor
Track central and state schemes: coverage, expenditure, beneficiaries and completion status, updated as the source data updates.
Project & Development Tracker
Announced, ongoing, delayed and completed projects — with tender status, progress evidence and the public reaction to each.
Grievance & Complaint Intelligence
Public grievance portals, state and municipal systems and helpline data, read for recurring complaint patterns rather than individual cases.
Representative Performance
Public record of representative activity: questions asked, debates participated in, local issues raised, and commitments against delivery.
Initiative Reality Score
Set official data against public perception and field verification, then score each initiative — retain, improve, redesign or critical.
Analysis
Turning signal into understanding
Clustering, calibration and ground verification, so a finding rests on more than one kind of evidence.
Narrative & Propagation Analysis
Trace how a narrative starts, spreads across platforms, gets picked up by media, and is adopted — origin and amplification, not just endpoint.
Survey & Poll Intelligence
Survey results, issue priority ranking, satisfaction levels and perception studies, each labelled with its sample design and representativeness.
Field Intelligence Integration
Field worker reports, photographs, recorded conversations and on-the-ground verification, linked to the geography they describe.
Evidence & output
Nothing leaves without its sources
The last three modules are what make the other eighteen defensible in a review.
Evidence & Confidence Engine
Every insight is backed by its sources and carries a confidence score covering freshness, reliability and verification level. A thin signal looks thin.
Reports & Exports
Custom reports, data exports, evidence packs, briefing material and policy-agenda inputs — permission-scoped, with no uncontrolled export of personal data.
OSINT API & Data Services
Reach the same data, insights and scores through secure APIs for internal systems and approved partner integrations.
Sources
What the engine reads
Every source is open, published or permitted. Where a source's terms do not allow analysis, it is not used.
| Source | How it is gathered | What it surfaces |
|---|---|---|
| Electoral records | Published results, turnout and booth-level participation | Participation and representation over time |
| Government open data | National and state open-data portals and scheme dashboards | Coverage, expenditure and completion status |
| Grievance systems | Public grievance portals, municipal systems and helplines | Recurring complaint patterns by place |
| News & broadcast | Print, TV, radio and digital publications, including transcripts | Narrative pickup and cross-media spread |
| Public social & video | Public posts, channels, forums and comment activity via permitted APIs | Aggregate sentiment, topics and velocity |
| Search interest | Public search-trend signals | What a community is actively looking for |
| Satellite & geospatial | Imagery and land-use datasets | Infrastructure, environment and urban change |
| Field verification | Structured field reports with photo and location evidence | Ground truth against official figures |
Pipeline
From open signal to reviewed brief
- 01
Collect
Gather from permitted open sources — published datasets, public APIs, news feeds and the public web — under each source's own terms.
- 02
Normalise
De-duplicate, detect language, and attach a geographic unit wherever one can reasonably be inferred.
- 03
Cluster
Group related issues and narratives, and track how they grow, move and decay across sources.
- 04
Verify
Set open signal against official data and field evidence, and record where the three disagree.
- 05
Score
Attach confidence and provenance, so reliability travels with the finding rather than being asked for later.
- 06
Brief
Feed the result into the twin, media briefs and the recommendation layer — for human review, not automatic action.
What it answers
The questions teams actually bring
Each answer is assembled from the modules above, with its sources and confidence attached — so it can be interrogated rather than taken on trust.
How did turnout and vote share shift, and where?
Electoral records intelligence reads published results down to booth level, showing turnout, margins, vote-share trends and NOTA across cycles — so a shift can be located rather than generalised.
Which factors correlate with a change in public support?
Issue trends, grievance patterns, initiative reality scores and sentiment are compared across the same geography and period, surfacing which factors moved alongside the change. Correlation is reported as correlation, not cause.
Which issues matter most, and in which wards?
Issue trend and heatmap modules rank concerns by volume, velocity and severity at ward and booth level, so priority is mapped to a place rather than averaged across a district.
How is the public perceiving a government initiative?
The initiative reality score sets official coverage data against public perception and independent field verification, then scores the initiative as retain, improve, redesign or critical.
Which projects are delayed or drawing public frustration?
The project and development tracker follows announced, ongoing, delayed and completed work alongside the public reaction to each, so delay and dissatisfaction are visible together.
What is the actual ground sentiment, beyond official reporting?
Aggregate public sentiment from open sources is calibrated against representative survey data and field reports. The gap between official figures and ground signal is itself reported as an indicator.
Which narratives are dominating, and where did they start?
Narrative and propagation analysis clusters related narratives and traces origin, amplification, media pickup and decay across platforms — showing how a story formed, not just that it exists.
Where are the risks and the opportunities?
Risk indicators combine narrative velocity, unresolved grievance clusters, delivery gaps and misinformation flags, each raised for human review rather than acted on automatically.
Which issues should the next policy agenda prioritise?
Reports and exports assemble ranked issues, delivery gaps and perception data into evidence packs and policy-agenda inputs, with the sources and confidence attached to every claim.
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