The trusted medialayer for modern newsThe trusted media layer for modern news
What is a Swivve?
The swipeable update—backed by real context.
A short video tied to a written news artifact. Watch the summary, then open the full article, sources, and change history in one tap.
Watch first
The clip is the beginning of the story, not the end.
Example Swivve
Developing
Read deeper
The context, evidence, and current state stay connected.
Written context
The full story stays one tap away.
Sources attached
Evidence travels with the claim.
Living status
Uncertainty stays visible.
Change history
Updates are explained, not hidden.
Trust that stays visible
Trust isn’t a badge. It’s a process you can inspect.
Sources, labels, and meaningful changes remain attached to the story—so readers can see what changed and why.
Visible story history
Example record- 01
Published as Developing
The initial source bundle and open questions are visible.
- 02
Evidence added
An official statement is attached to the story record.
- 03
Status updated
The reason for the verification change is recorded.
- 04
Followers notified
Important changes travel with the story across surfaces.
In development · Swivver Signal
The human-impact layer for short-form video.
Signal is being built to evaluate safety, identity and synthetic media, advertising and claims, originality and rights, accessibility, and attention/feed risks—with evidence, confidence, and review paths kept visible.
What Signal evaluates
From clip integrity to feed impact.
Safety and age suitability
Harassment, self-harm, and challenges
Synthetic media and identity
Advertising integrity and scams
Claims and information value
Originality, provenance, and rights
Technical and accessibility quality
Attention design and feed well-being
One story, built to travel
Watch it. Publish it. Build with it.
The same source-linked story can serve people, newsrooms, and AI platforms without losing its evidence trail.
For readers
Watch fast. Verify deeper.
Open the article, sources, and updates without leaving the story.
Explore the reader experienceFor writers
Publish with proof attached.
Keep your voice while building a visible record of evidence and updates.
See the publishing workflowFor publishers
Distribute without losing standards.
Bring provenance, review, rights, and correction workflows to short video.
Explore publisher partnershipsFor AI platforms
Use licensed signal, not scraped fragments.
Retrieve source-linked media with provenance and correction-aware structure.
Explore platform accessResponsible assistance
AI that acts with evidence and accountability.
Swivver uses AI to support research, extract claims, monitor stories, and—where configured policy allows—apply evidence-backed updates. Automated actions remain connected to their sources, policy, and change history.
Double-check
Extract claims and compare them with attached sources for human review.
Explain
Support timelines and follow-up questions grounded in cited story material.
Monitor
Flag new information that may require an update, correction, or status change.
AI can flag, propose, and apply policy-governed changes. Evidence, audit history, and human review paths stay attached.
Partners
A focused network for accountable media and AI.
Swivver works with organizations building aligned AI, open infrastructure, and trustworthy systems for how media is created, evaluated, and distributed.
We welcome product, research, infrastructure, and governance collaborators with a concrete use case.
Early access
Build a news experience that values speed and proof.
Join as a reader, creator, or partner.