Trust
Can I trust this?
GriGsi analyzes signals, context, origin and risk to help people understand what can be trusted and why.
- links
- websites
- information
- identities
- digital content
- AI outputs
GriGsi
The trust layer for the AI-powered world.
When anything can be generated, trust must be understood.
GriGsi helps you understand what is real, what can be trusted, what is uncertain and what can be proven.
Choose something you want to understand, verify or prove.
Choose
Input
Analyze
Understand
Check now
Paste a message or link
Stop. Check. Then act. One field — text, link, or both. We auto-detect signals and the domain, plus related GriGsi checks (Trust, Noise, Dig, Proof…). Nothing sensitive is uploaded unless needed.
Also works from the extension, desktop app, and phone Share.
Do not paste passwords, PINs, or card data. If there is a link, we use only the domain.
0 / 12
No signals marked
Check carefully before you continue.
01 · Financial scams
02 · Online shopping
What to do
External reports (automatic)
Domain: —
Loading summary from ScamAdviser / VirusTotal…
We show a short summary here in GriGsi. The full report stays with the source.
If you already paid or shared data
- Stop contact. Do not send more money. Keep the messages.
- Call the bank on the official number. Ask to block the card and review transactions.
- From a clean device, change passwords and turn on extra sign-in protection.
- Report to the police and, for financial cases, to the financial supervision authority.
Warning: “recovery for a fee” is often a second scam.
From GriGsi — related checks
We run Trust, Dig, Noise, Proof and other tools that make sense for this selection. The decision stays with you.
Searching GriGsi…
Educational check. If there is real risk, contact your bank and the competent authorities.
The problem
The internet is becoming harder to trust.
Images
Voices
Videos
Documents
Identities
AI decisions
Almost anything can now be generated.
So what can you actually trust?
The GriGsi answer
Understand. Verify. Prove.
GriGsi provides a connected system for moving from uncertainty to understanding — not three unrelated products.
Proof
Can it be proven?
GriGsi helps people understand origin, evidence, authenticity and digital history.
- content provenance
- authorship
- evidence
- verification
- digital records
Space
Connect without giving away everything.
Create temporary, privacy-first spaces for communication and collaboration.
Connect. Do what you need to do. Leave no unnecessary permanent connection behind.
Explore SpaceHow it works
From uncertainty to understanding.
Bring something
- A link
- A file
- An image
- A document
- An identity
- A claim
- An AI output
GriGsi analyzes it
- Signals
- Origin
- Context
- Evidence
- Risk
Understand the result
- What can be trusted
- What is uncertain
- What can be proven
- Why the system reached the conclusion
The result is explainable.
Differentiator
A score is not an explanation.
Generic system
Trust score
87 / 100
- No context.
- No reasoning.
- No explanation.
GriGsi
Why?
OriginVerified from a primary source.
Evidence4 independent signals.
RiskNo major risk indicators detected.
ContextConsistent with available information.
ConfidenceHigh.
GriGsi does not just give answers. It shows the reasoning behind them.
Ecosystem
One trust layer. Many ways to understand the world.
Trust
Verification
Verification, safety and reliability — Trust Check and community signals.
Proof
Provenance
Origin, evidence and authenticity for digital records.
Space
Private connection
Privacy-first communication and interaction.
Intelligence
Analysis
Similarity, analysis and data intelligence.
Looking ahead
Built for the world that comes next.
- AI agents
- synthetic media
- digital provenance
- cybersecurity
- privacy-first interaction
- identity signals
- evidence systems
- data intelligence
As the digital world becomes more powerful, it also becomes harder to verify.
GriGsi is designed for that future.
Privacy
Trust should not require surrendering your privacy.
- Data minimization
- User control
- Transparency
- Explainability
- Privacy-first design
The more you know, the less you should need to expose.
What do you want to understand, verify or prove?
The future will not have less information. It will have more uncertainty. GriGsi helps make sense of it.