Fraud.net vs Sift
Fraud.net vs Sift, compared side by side on 16 data points: what each one does, how big it is, what it has raised, the tech running each site, and what users report. We score both out of 100 on traction, team and visibility: Fraud.net is on 53/100 and Sift on 41/100.
Where each one leads
Fraud.net
- our overall score: 53/100 against 41/100
- agent readiness: 46/100 against 21/100
- headcount: 64 against 2
- LinkedIn following: 9,478 against 17
Sift
- funding raised: $4.3M against $2.2M
At a glance
| Measure | Fraud.net | Sift |
|---|---|---|
| What it is | AI-driven platform for real-time fraud detection, risk management, and compliance. | Reduced Real-Time Bidding (RTB) infrastructure costs by filtering low-value impressions using machine learning. |
| Category | Fintech, Payments, Cybersecurity, Threat Detection | Marketing, Programmatic Media, Real-Time Bidding, MFG + SUPPLY CHAIN |
| Sells toBusiness model | B2B | B2B |
| Offering | Platform | Software |
| Founded | 2016 | 2017 |
| Headquarters | New York, United States | Not published |
| Status | Active | Active |
Size, funding and growth
| Measure | Fraud.net | Sift |
|---|---|---|
| Employees | 64 | 2 |
| Total funding | $2.2M | $4.3M |
| Latest round | Seed | Seed |
| LinkedIn followers | 9,478 | 17 |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | Fraud.net | Sift |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 53/100 | 41/100 |
| Traction | 50/100 | 38/100 |
| Team | 60/100 | 20/100 |
| Search visibility | 34/100 | 24/100 |
| Quality | 58/100 | 48/100 |
| Agent readinessHow well an AI agent can read and act on the site | D (46/100) | F (21/100) |
| Domain ratingLink authority, 0-100 | 68/100 | Not published |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | Fraud.net | Sift |
|---|---|---|
| CDN | Cloudflare | Not detected |
| CMS | Webflow | Not detected |
What users say
| Measure | Fraud.net | Sift |
|---|---|---|
| Reddit sentimentThreads we track | 4 positive, 0 negative across 4 threads | Not published |
“Fraud.net's AI and Machine Learning Models offers an extensive range of solutions aimed at fraud detection and prevention. Leaning heavily on artificial intelligence and machine learning including deep learning and neural networks in combin”r/FutureTechFinds
Fraud.net vs Sift: common questions
Which is better, Fraud.net or Sift?
On our 0-100 score Fraud.net rates higher (53/100 against 41/100). The score weights traction, team, visibility and profile completeness, so it reflects company strength rather than which product suits you. We compare the two on 16 data points above: read the rows that match what you are buying for.
How do Fraud.net and Sift compare on the numbers?
Fraud.net leads on our overall score (53/100 against 41/100), agent readiness (46/100 against 21/100), headcount (64 against 2), LinkedIn following (9,478 against 17). Sift leads on funding raised ($4.3M against $2.2M).
What do real users say about Fraud.net and Sift?
Fraud.net: 4 positive and 0 negative mentions across 4 Reddit threads we track, mostly in r/FutureTechFinds.
Read the full Fraud.net review and pricing or the Sift review and pricing. You can also browse other Fraud.net alternatives we track.