Platform
From raw public chatter to a briefing your team can defend
An Advanced AI Enabled intelligence console that tracks the entities you care about, clusters the conversation into risk-graded narratives, and reads sentiment, evidence, and sources so your team sees what matters first.
4
Source families: news, X, YouTube, web
AI-first
Classification, not keyword rules
Risk-graded
Narratives, not raw feeds
Audited
High-confidence applies logged
Entities and narratives
One canvas for who, what, and where it spread
Track the public identities you watch, and let mentions cluster into risk-graded narratives with spread, velocity, and public image risk. The console shows the entity, the story, the evidence, and the sources together.
- Risk-graded narrative clusters, not keyword feeds
- Entity profile with stance and public image risk
- Spread and velocity context on every story
X
248k
IG
132k
YT
96k
Evidence
Sentiment, evidence, and sources
Read perception, weigh evidence, know the sources
Sentiment and stance are AI-first and tracked over time, not single snapshots. Evidence is weighted by source strength and independence, and thin narratives carry honest caveats so a weak snippet never reads as fact.
- AI-first sentiment and stance with platform splits
- Evidence weighting with strong vs weak sources
- Source coverage and independence at a glance
Watch the public figures and pages you cannot miss
Catch narrative spikes as they form
See which sources drive coverage
Weigh evidence quality before you act
Turn it into a Kedar AI Prediction report draft for human review
Executive summary
Risk and spread
Response options
Reports and operations
Briefings to act on, with provider transparency
Kedar AI Prediction drafts shareable report briefings for human review, and Super Admins get full Operations visibility into provider activity, budgets, and Official X usage so nothing runs away unseen.
- Kedar AI Prediction report drafts and safe Excel exports
- Provider activity, returned vs stored items, and budgets
- Firecrawl-first; Official X reserved and visible by reason
Source coverage
Advanced AI Enabled
An AI-first pipeline, held under human review
Classification is AI-first across sentiment, stance, and narrative grouping. Deterministic logic is only a hint; the AI read is the source of truth, weighed against evidence and reviewed before use.
Ingest
Public signals in
Classify
AI reads the meaning
Weigh
Evidence weighting
Draft
Kedar AI Prediction report draft
Review
Human sign-off
Capabilities
The modules behind every briefing
Entity tracking
Narrative monitoring
Sentiment and stance
Evidence caveats
Source coverage
Reports
Operations visibility
AI-first classification
Provider strategy
How it compares
Narrative-aware, evidence-backed, source-aware
Generic listening dashboards count mentions. The Nitisetu platform reads narratives, weighs evidence, and stays transparent about its sources.
| Capability | Nitisetu | Generic social listening | Basic sentiment tools |
|---|---|---|---|
| AI-first narrative clustering | |||
| Sentiment and stance over time | Partial | Snapshot | |
| Evidence quality and caveats | |||
| Source independence view | Partial | ||
| Report drafts for review | |||
| Operations and budget transparency |
Category comparison for orientation. No competitor is named.
FAQ
Platform questions
What sources does the platform use?
Official news and platform APIs as structured sources, plus Firecrawl-first public web discovery. The official X API is reserved for rare, high-value structured context. No private scraping.
Is the sentiment keyword-based?
No. Sentiment, stance, tone, and narrative grouping are AI-first. Deterministic keyword logic is only a non-authoritative hint and is never the source of truth on graphs.
How are weak or thin narratives handled?
Evidence is weighted by source strength and independence. Thinly sourced narratives are flagged with caveats so they are not treated as high-confidence facts.
Request access to Nitisetu.
Invite-only. Your Super Admin creates and manages workspace accounts.