InflueAnswersSHIFRA Intelligence for the People

InflueAnswers presents Shifra

We uncover
the magic.

Intelligence you can
trace to its sources.

Creative research. Strategic communications.
Technology that helps us see further.

Behind the visible story

Look
closer.

Narratives. Agendas.
The connections between them.

We follow a story back to its origins, examine what carries it further, and keep the evidence in view.

The spotlight reveals the questions.

Follow the thread A hand pulls a rabbit from a hat. A yellow spotlight reveals a network of narratives and agendas as the viewer scrolls closer.
There is more beneath the story.FOLLOW / 01

01 / The information environment

Scattered signals.
Four funnels.

TV, print, social platforms, private messages and human sources feed the same research environment.

OSINT

Instagram, including Stories
Facebook, TikTok and X
Web and public records

Legacy and wire news

TV broadcasts
Print and radio
Wire services

Private messaging

Public WhatsApp and Telegram
groups and channels
Authorised inputs

Human intelligence

Interviews and field reports
Human-source inputs
Human-supplied, then ingested

Inspect three scattered signals Illustrative records

MOCK DATA · Fictional examples, not actual posts or reports.

Instagram Story

Political analyst Ralph Baydoun posted a picture of himself with a left-leaning political figure as part of the Beirut Arab International Book Fair 2006.

Fictional photo and account name blurred.

WhatsApp / Authorised group

“The meeting went ahead today.”

Example meeting M-01

Al-Manar / Citing Israel’s Channel 11

“The meeting was cancelled today.”

Example meeting M-01

Contradiction: review

A contradiction flag prompts analyst review. It does not establish which claim is true.

02 / Collection and enrichment

Four funnels.
One closed warehouse.

500,000

data points collected and enriched
monthly across MENA

Founder-reported throughput. Not a count of independent origins.
OSINTLegacy + wirePrivate messagingHuman intelligence

Automated collection and ingestion

Registered.
Tagged.
Classified.

On entry, each signal receives context.

Ongoing checks flag inconsistencies and contradictory information as the collection evolves.

Human intelligence is supplied by people and processed through the registration workflow.

01

Query with current AI engines

Across all four funnels

02

Cited analysis

Origins, links and limits

03

Analyst judgment

Implications and next action

Private client vaults remain separate. Their material is never sent to a commercial model.

Regional coverage and languages

Arabic, English,
Hebrew and Persian

Regional coverage across MENA.

The map shows monitored coverage, not public opinion or incident severity.

03 / The method

A method for
reading narratives.

Signals enter tagged and classified, with checks for conflicting information.

01

Who is speaking?

Identify the speaker and intended audience.

02

How is the issue framed?

Describe the framing and alignment.

03

What is being claimed?

Separate claims from corroboration. Flag inconsistencies for review.

04

How does it connect?

Link actors, places and events across time.

A connection is a lead to inspect in the records.

See the knowledge graph

Connections do not by themselves establish causation, coordination or the truth of a claim.

Built on more than 190,000 items analysed by hand over four years.

04 / Why not just a chatbot?

The claim.
The record.
The difference.

A browsing chatbot can find the mandate. Shifra traces the claim against the evidence.

Illustrative case / A mission’s mandate

“Is the mission taking over border control?”

TV headlineA takeover is alleged.
WhatsAppThe claim is forwarded.
Instagram StoryThe claim is repeated.

Several appearances. One claim to trace.

Independent origins

Repetition is visible.
Corroboration needs checking.

The forwards repeat the TV claim. They add no independent confirmation.

Preserve the Story before deletion so the original record remains available for review.

Evidence limits and private research

Preserved evidenceThe Story is retained after deletion because it was captured beforehand.

Declared blind spotsNo on-the-ground operations were analysed. The corpus alone cannot establish or exclude a takeover.

Private researchThe briefing and the analyst’s questions stay off the open web. Private material never goes to a commercial model.

05 / The research workspace

Meet
Shifra.

Intelligence for
the People

Research, connected.
Evidence, in view.

The line becomes a laptop A continuous white drawing forms a laptop, which holds before the real product output appears.

Follow the thread into Shifra.

06 / Ask the Live Library

Cited answers.
Visible limits.

Query all four funnels with AI and inspect the evidence behind each answer.

“What happened in the Strait of Hormuz this month, and who is claiming what?”

Numbered citations keep the answer connected to its evidence.

Product output excerpt. Click to inspect the original screenshot.

About this example

The amber note identifies dependence on aligned sources, anonymous officials and a secondhand account. Citation counts are not counts of independent origins. This interface demonstration is not independent verification of the events shown. The original audit status reads “REVISE” and “refined by the auditor”.

07 / IA Debrief

Intelligence for
the next decision.

Every 6 hours

A focused brief on each watch,
generated and delivered four times a day.

IA Debrief / Product output excerpt

01

Scoped to a milieu

What happened on cluster X. What changed in location Z. Each brief covers one defined watch.

02

Delivered every six hours

Generated and sent to the analyst four times a day. No prompting, no dashboard to check.

03

Built for the next decision

Reported and disputed claims separated, uncertainty declared, follow-up questions scoped.

The excerpt retains the original limitation: live wire checks are paused and many claims are asserted rather than verified.

08 / The research boundary

Evidence within
a defined boundary.

Private material stays isolated. Closed-mode answers stay within the corpus.

Client workspace

Private client vault

Separate for each client.

Private files never go to a commercial model.

Closed intelligence warehouse

Tagged signals from all four funnels

Cited answer

Faithfulness audit before display

Closed mode has no web tool.

Outside the closed environment

Optional web research

Explicit request only. Results labelled external and kept separate.

When evidence is missing

“Not in the corpus.”

Closed-mode questions stay off the open web.

09 / What your team can follow

From signals
to early warning.

Know what changed, who is involved, and what deserves attention.

Illustrative case / A claim about your programme

Observed signals

“Programme suspended.”

TV makes the claim.
Social posts and WhatsApp repeat it.

Field report:
“Activities continue.”

Shifra connects the evidence

A shared origin.
A conflicting report.

Repeats trace to one origin. The field report conflicts with it. Timing and scope need review.

A heads-up for your team

The narrative
is spreading.

Evidence remains conflicting. Verify locally before responding.

Every finding links to its source.

Notice a change while there is still a question to investigate.

Spot emerging changes and flag what needs attention, with evidence limits visible.

Early warning identifies observed changes and unresolved risks that deserve attention. It does not predict future events or certify a claim as true.

10 / The work behind Shifra

Already in
the field.

Published investigation, automated checks and a working newsroom deployment.

Published investigation

The circular sourcing loop

Lebanese channels attributed wartime claims to unnamed Hebrew-language media. The investigation traced a circular chain of attribution that created the appearance of independent corroboration.

Read the investigation

Samir Kassir Foundation and InflueAnswers · 9 March 2026

Platform catch

The attacker that changed identity

A state outlet quietly swapped the attributed identity of an attacker between broadcasts. Shifra’s tripwire flagged the contradiction against the earlier record automatically.

Founder-reported platform example: flagged before a human noticed.

Working deployment

In production today

Shifra runs daily for a regional newsroom: multilingual ingestion, enrichment and cited briefs on live MENA coverage.

Deployment described in the October 2026 product deck.

11 / Shifra by InflueAnswers

What does your team
need to see
more clearly?

A pilot starts with one standing question
you already need answered.

01

You bring the question.

A narrative you’re tracking, a claim that keeps resurfacing, a programme under attack.

02

We point the funnels at it.

Your sources and ours, ingested into a workspace that is yours alone.

03

You get cited intelligence.

Briefs that separate reported from disputed, with every claim traceable to its record.

Intelligence you can trace to its sources.

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