AI candidate screening
Verify resumesbefore interviews.
Analyze inbound candidates and filter signal from noise on autopilot. Signal scores and ranks every candidate in seconds, anywhere in the world. (We integrate with your existing ATS)
SDE · 4821Live scan
Architected scalable microservices on Kubernetes
14 matching commits
10+ years deep expertise in distributed systems
No public footprint
Built event-driven Kafka pipeline (3M events/day)
Repo confirmed
Led cross-functional team of 12 engineers
Unverifiable claim
Optimized ML inference latency by 87%
Benchmark mismatch
2 flags · 2 verified · 1 unverifiable
Recommend: do not advance
Your ATS still scores keywords. Signal scores whether the person can actually do the work.
73%
of 2026 resumes show measurable GenAI padding
$2k+
average cost per wasted technical interview
100%
of your talent pool (engineers) verified line by line
Why Signal exists
Keyword matching is obsolete.
Traditional ATS
- Ranks resumes by keyword density
- Can't detect GenAI-padded bullets
- No verification against real work
- Pushes bluffers straight to technical interview
Signal
- Parses semantic intent per bullet
- Flags padding and benchmark mismatches
- Cross-checks GitHub and project footprints
- Only evidence-backed candidates advance
What Signal checks
Every claim. Every footprint.
A single resume upload triggers a full integrity audit - the same depth your team would get from hours of manual vetting, delivered in minutes.
Skill verification
Every claimed language and framework is checked against repos, commits, and public code - not resume keyword density.
Experience audit
Employment timelines, seniority claims, and role scope are cross-referenced against what the candidate actually shipped.
GitHub footprint
Repos, contribution patterns, and account history are analyzed to separate builders from browsers.
Claim consistency
Bullets are compared against each other and external signals to catch contradictions and inflated timelines.
Public signal discovery
Portfolio links, papers, and web footprints are pulled from the resume and verified where possible.
Integrity scoring
A calibrated verdict per candidate - with evidence trails your team can review before booking interviews.
How it works
01
Semantic match logic
Each bullet is parsed for architectural reasoning - not the buzzwords an LLM padded in.
02
External signal cross-check
Claims are verified against real footprints. Reality, not rhetoric.
03
Bluff detection
Mismatch between written claims and actual capability is flagged before your team spends a minute.
Where Signal sits
Applicant inbox
Every SDE resume, every role
Signal audit
Line-by-line + footprint check
Interview calendar
Only evidence-backed candidates
Applicant inbox
Every SDE resume, every role
Signal audit
Line-by-line + footprint check
Interview calendar
Only evidence-backed candidates
Bootstrap with pipeline integrity audits today. Scale into always-on filtering when your team is ready - every engineering applicant verified, with an evidence trail for every claim.
Integrations
We integrate within your existing ATS.
Signal does not replace your applicant tracking system. It verifies candidates inside the workflow your team already trusts — then hands evidence back before the first interview slot is booked.
Plug into your pipeline
Trigger integrity audits from the interview plan your recruiters already run — no parallel tool, no CSV exports.
Results stay in your ATS
Scores, evidence links, and shareable reports write back where your team already decides who advances.
Keep your stack
Signal sits beside your ATS, not instead of it. Hiring ops stays intact; verification gets sharper.
Sample output
Evidence your team can act on.
Every audit ends in a structured verdict - integrity scores, line-by-line findings, and a clear recommendation. No black box. Every flag links back to evidence.
Integrity audit · SDE · 4821Partial match
72
Integrity
58
Consistency
64
Confidence
Built event-driven Kafka pipeline (3M events/day)
3 public repos · commit history matches
Architected scalable microservices on Kubernetes
14 matching commits across 2 repos
10+ years deep expertise in distributed systems
No public footprint for claimed depth
Optimized ML inference latency by 87%
Benchmark mismatch · no source cited
2 verified · 2 flags · 1 role scope unverifiable
Recommend: probe before advancing
The cost
Stop interviewing prompts.
Every unverified candidate in your loop burns interviewer time and calendar capacity. Signal filters the funnel before the first technical slot gets booked.
Interview waste · per open role
18
Avg interviews per hire
$2,000
Cost per technical interview
47%
Bluff rate without verification
Estimated waste
$16,920
18 interviews × $2,000 × 47% bluff rate — per open engineering role, before Signal filters unverified candidates out.
FAQ
Common questions
Who is Signal built for?
Engineering hiring teams - recruiters, hiring managers, and technical interviewers who need to filter SDE applicants before spending hours in loops. Signal is designed for roles where resume polish no longer correlates with ability.
How is this different from an ATS?
ATS tools rank keywords. Signal verifies claims. It parses each bullet semantically, cross-checks against GitHub and public footprints, and flags padding or mismatches - then gives you an evidence-backed report, not a match score.
What does a trial include?
Upload one engineering resume and run a full integrity audit. You get skill verification, experience checks, GitHub analysis, integrity scores, and interview focus areas - the same depth as a pipeline audit, on a single candidate.
Do candidates need to opt in?
Signal works on resumes you already have in your pipeline. It analyzes public footprints - GitHub profiles, portfolio links, and web-visible work - without requiring the candidate to complete a separate assessment.
How does Signal handle private repos?
Signal verifies against publicly available signals. Private work is marked as unverifiable rather than assumed false - your team gets transparency about what can and cannot be confirmed from the outside.
How do I get started?
Start with a free trial on a single resume to see a full integrity audit. For pipeline-wide reviews or team rollouts, contact us and we will help you integrate Signal into your hiring workflow.
Get started
Your next hire shouldn't be a prompt.
Run a free trial on one resume, or talk to us about rolling Signal into your engineering hiring pipeline.