Application-stage screening with Glass-Box scoring, 11 resume-and-identity fraud signals, and per-employer enrichment. Filter the inbound pool before any interview gets scheduled.
Evaluate the resume and the identity behind it before any interview happens.
Required (3x), Preferred (2x), Bonus (1x) weights you control. Per-criterion reasoning. Resume highlighting. Tofu's screening uses proprietary models without documented transparency at this depth.
LinkedIn validation against 400M+ profiles, GPT-resume detection, phone carrier name mismatch, email registration mismatch, and 7 more. All documented, all free, all run on every applicant. Tofu's fraud signals are bundled into demo-priced enterprise plans.
Industry, headcount, revenue, funding stage on every company on every resume. Validates the work history claims that Tofu's identity-focused fraud detection takes at face value.
Score every past applicant against new open roles. Most ATSes hold thousands of strong candidates who never got a fair second look. Tofu doesn't do rediscovery.
No demo required, no per-seat pricing, free 2,000-credit trial. Tofu doesn't publish pricing - based on customer profile (170+ companies, mid-market to enterprise), it's likely structured for larger budgets.
No API setup, no IT involvement, deployable by any recruiter. Tofu uses direct API integrations with a smaller named set (Greenhouse, Lever, Ashby).
Tofu specializes in video-stage fraud. SquarePeg specializes in application-stage screening. Here's the split.
| Capability | Tofu (HireTofu) | SquarePeg |
|---|---|---|
| AI resume screening | Yes | Yes (Glass-Box) |
| Glass-Box scoring transparency | Not documented | Cited evidence + adjustable weights |
| Resume highlighting | No | Yes |
| Fraud detection signals | Deepfake, proxy, identity, location | 11 documented signals (free) |
| Video deepfake detection | Yes (live interview) | No |
| Proxy interviewer detection | Yes | No |
| Location spoofing detection | Yes | No |
| GPT-written resume detection | Yes | Yes (Resume-JD over-alignment, canonical) |
| LinkedIn validation (400M+ graph) | Identity validation | Yes |
| Phone carrier name mismatch | Not listed | Yes |
| Per-employer company enrichment | No | Industry, headcount, revenue, funding |
| Candidate rediscovery | No | Yes |
| ATS integrations | Greenhouse, Lever, Ashby (API) | 95+ via Chrome extension |
| Free trial | Not publicly available | 2,000 credits |
| Pricing | Demo required | $100/mo flat, public |
Glass-Box scoring on every inbound resume. Most teams' biggest leverage is filtering the pool before any interview gets scheduled - not later, at the video stage.
GPT-written resumes, LinkedIn validation against 400M+ profiles, phone carrier name mismatch, email registration mismatch, and 7 more. Run on every applicant, free.
SquarePeg runs on every applicant for AI scoring + 11 resume/identity signals. Tofu runs on candidates advancing to video for deepfake detection. Each catches what the other misses.
Glass-Box scoring. 11 application-stage fraud signals. Per-employer enrichment. $100/mo flat.
Start free with 2,000 credits · 5-minute setup · Complements video-stage tools like Tofu