Platform Intelligence · Full-pipeline screening

Score every application. Stack the strongest. In 30 seconds.

Matching ranks keywords. Intelligence ranks confidence.

Scan one resume on demand or send 100–500 through the API in one batch. WackoWave assesses legitimacy, forensic risk, and role alignment — then ranks the pool so recruiters spend human time on candidates whose evidence holds up.

~30s
Per assessment
1–500
On demand or API batch
5
Analysis engines
2pg
Decision-ready report
The operating advantage

Do not sample the pile. Score the whole pipeline.

Run an individual resume through the secure interface or submit 100–500 applications as an API batch. Platform Intelligence applies one review standard across every resume, then converts volume into a ranked, explainable decision queue.

01 / Pre-ingestion intake
1–500
Individual upload or API batch — before the ATS / CRM record.
02 / Intelligence
~30s
Assessment per application. Forensic risk + JD match.
03 / Ranked output
1
Stack ordered by confidence. Assessment · report · next steps.
Recruiter time shifts
Opening every resumeValidating the best-supported applicants
Keyword-first screeningEvidence-led conversations
Discovering risk lateQuestioning before the first call
Five concurrent engines

Beyond keywords. Built to dissect.

WackoWave does not simply search for matches. Five distinct analysis engines evaluate structural authenticity concurrently and consolidate their findings into one actionable risk assessment in under 30 seconds.

01 / Engine
Timeline Scan
Maps dates chronologically to flag overlapping roles, double-employment anomalies, and gaps hidden behind vague formatting.
02 / Engine
Growth Engine
Benchmarks promotion velocity and flags career leaps that lack the evidence needed to support them.
03 / Engine
Credential Audit
Cross-references employers and institutions to identify diploma mills, shell companies, and unverified entities.
04 / Engine
Authenticity Lab
Analyzes syntax, predictability, and keyword density to catch mass-produced, generative-AI optimized resumes.
05 / Engine
Pattern Radar
Compares profile footprints against known fraud templates to identify cloned applications before submission.
Cross-evidence intelligence

One candidate story. Multiple points of proof.

A credible resume can still conflict with a public profile. A plausible ID can still conflict with candidate details. A long skills list can still contain little evidence for the actual job.

01
Resume
Structure
02
Documents
Identity
03
LinkedIn
Public profile
04
JD Match
Role evidence
05
Credentials
Certifications

Every claim leaves an evidence trail. The moat is not a single score; it is the protected framework used to interpret agreement and contradiction across the complete evidence set.

The two-page Forensic Profile Assessment

Not loose commentary.
A clear assessment and action path.

Every completed resume scan produces a concise two-page report that explains what the platform found, how serious it is, and what the recruiter should clarify next.

forensic_profile_assessment.pdfHigh Risk
42
/100
Overall Authenticity Score
Timeline Scan
70
Growth Engine
45
Credential Audit
30
Authenticity Lab
40
Pattern Radar
55
SIGNIFICANT · CREDENTIAL_VERIFICATION_REQUIRED
Educational qualifications warrant independent confirmation before proceeding.
SIGNIFICANT · EMPLOYMENT_TIMELINE_REVIEW
Career progression benefits from structured documentation review.
NOTABLE · EXPERIENCE_ALIGNMENT_GAP
Claimed seniority not fully supported by documented career arc.
A protected ingestion layer

Before the record. Outside the system of record.

WackoWave assesses candidate evidence before it enters the ATS or CRM. The customer controls what moves downstream, and the platform does not require write access to those systems.

01
No API Bottlenecks
Avoid lengthy IT discussions, security-audit queues, and data-silo navigation. WackoWave operates independently of the ATS integration roadmap.
02
On-Demand Sidebar Workflow
Recruiters use a secure cloud interface to paste raw candidate text or drop a profile PDF directly into the verification engine.
03
Zero-Footprint Processing
The platform runs its automated forensic layers and returns a dynamic assessment without harvesting the candidate profile.
04
Client-Facing Deliverables
A clean verification PDF can be attached to the candidate record in Bullhorn, Greenhouse, iCIMS, or another existing ATS before client submission.
External evidence WackoWave assessment 2-page report · ranked queue Existing ATS / CRM / VMS record · No platform write access required
Earlier intelligence, different purpose

Pre-interview risk is not post-offer compliance.

Pre-BGV is a risk-led evidence review before a regulated or post-offer background verification. It helps teams decide what deserves deeper verification; it is not a substitute for lawful I-9, E-Verify, criminal, education, employment, or other authorized checks.

Feature / metric
WackoWave Platform Intelligence · Pre-interview signal
Traditional background screening · Post-offer compliance
Primary purpose
Catch fraud, AI-generated language, and structural profile errors.
Criminal, identity, and legal compliance checks.
Processing speed
Under 30 seconds per profile scan.
Typically 3–7 business days.
Workflow timing
Before the first screening call or client submission.
After an official job offer is extended.
Pricing model
Monthly user plans plus a $0.99 one-time verification bundle.
Annual software contracts or high per-check fees.
Core mechanism
Live, multi-layer forensic profile analysis.
Database lookups and third-party phone verification.
Why it matters

Different hiring models. The same trust gap.

Risk grows when teams review faster, hire farther away, depend on more suppliers, or place talent into client environments where credibility is difficult to rebuild.

Remote hiring
Identity, location, social profiles, and work history can be harder to reconcile when every touchpoint is digital.
Connect evidence before device access or sensitive work begins.
Bulk hiring
High application volume compresses review time and encourages teams to treat matching as validation.
Prioritize human review around risk and evidence gaps.
Internal hiring
A polished profile can move quickly between recruiters, managers, and interview panels without one shared trust baseline.
Create a consistent pre-interview evidence layer.
Staffing & client hiring
One compromised submission can damage recruiter credibility, consume replacement effort, and expose the client relationship.
Attach a decision-ready verification report before submission.
GCC hiring
Rapidly scaling capability centers recruit across locations, vendors, and scarce technical skill pools.
Apply one evidence standard across distributed sourcing channels.
MSP / VMS programs
Multiple suppliers create inconsistent intake quality, duplicate profiles, and uneven verification practices.
Standardize candidate intelligence before downstream workflow entry.
AI document verification · US staffing

The document looked real. Our engine disagreed.

Forensic authentication for US immigration and identity documents. Upload. Get results. Know before you submit — with a complete PDF report and no image retained.

Green CardH-1B I-797Driver LicenseState IDEAD Card
5
Document types
<30s
Results time
0
Images stored
PDF
Report included
Try it in the demo →
Plans

Start at 99 cents. Scale on your terms.

One-time Bundle Pack — resume plus one photo ID.

Run a focused one-time verification, or choose a monthly user plan when your team needs recurring capacity. No annual contracts. No infrastructure purchase.

$0.99
One-time Bundle Pack
View all plans →
Your next move starts here

See the evidence before the risk.

Make the next hiring decision with a stronger trust baseline. Start with a profile, a document, or a complete candidate evidence set.

Demo access Talk to us