AI Screening and Recruiting Automation for Spark Hire
Skima AI integrates with Spark Hire Recruit to screen resumes, rank candidates, rediscover past applicants, detect bot applicants and resume fraud, and conduct AI video interviews. No data migration required.
Five AI recruiting tools in one Spark Hire integration
Authenticate once through the Spark Hire Recruit Evaluation API. Every AI capability below reads from Spark Hire and writes results back to the candidate profile without migrating ATS data. No parallel platform.
Talent rediscovery
Skima AI uses semantic candidate matching and surfaces past applicants from your Spark Hire Recruit database when a new position opens. Explainable scores and shortlists write back to the candidate profiles inside Spark Hire Recruit.
Rediscovery →Candidate fraud detection
Skima AI detects bot applicants, templated and AI-generated resumes, and resume discrepancies before the Spark Hire Recruit interview step. Fraud risk scores and anomaly signals write back to the candidate profile. Skima AI never auto-rejects.
Fraud Detection →AI video interviewer
Automated AI interviews that launch the moment a candidate applies or reaches a Spark Hire Recruit workflow step you define. Structured summary, transcript, and scores against your job criteria write back to the candidate profile.
AI Interviewer →Explainable AI matching
Skima AI provides evidence behind every match score: which skills aligned, which experience transferred, which criteria the candidate met or missed. Explainable AI your team can audit.
Explainable Matching →AI resume screening
Automated resume screening that batch processes every incoming application in Spark Hire Recruit, ranks & sorts candidates by fit, and highlights top candidates. Built for high volume recruiting without manual review time.
AI Screening →Why Spark Hire teams choose Skima AI integrations
Skima AI is built for Spark Hire Recruit's structured hiring workflow. Every screening score, match explanation, and fraud rating writes back as structured data.
Automated AI recruiting inside Spark Hire recruit
Spark Hire Recruit structures your hiring workflow, while Skima AI adds fraud detection, explainable candidate ranking, and rediscovery that extend your existing screening process.
Reduces manual resume review time
Skima AI automatically screens and shortlists every incoming Spark Hire Recruit application. Recruiters review ranked candidates, not raw stacks. Manual resume review time is cut in half.
Blocks bot applicants before interviews
Skima AI detects bot applicants, AI-generated resumes, and resume discrepancies before they reach your interview step. Fraud risk writes back to the candidate profile.
Explainable AI for every hiring decision
Every match score includes the evidence behind it: which skills aligned, which experience transferred. Explainable AI your team can audit and act on.
Reduces time-to-Hire across every role
Automated screening and AI candidate matching reduce recruiter review time at every step. Teams move faster from application to interview without manual bottlenecks.
Surfaces candidates already in your ATS
Skima AI scans your Spark Hire Recruit candidate database and surfaces past applicants who match current open positions. Talent already in your ATS, found automatically.
How to set up Spark Hire AI integration
Skima AI integrates natively with Spark Hire Recruit without migrating ATS data. It pushes evidence-backed candidate notes back into Spark Hire fields in real time.
Authenticate Spark Hire recruit
In Spark Hire Recruit, go to Settings > Integrations (Admin, Owner, or IT Manager role required) and click Integrate. Get the API key and paste it into Skima AI. The connection is established, and indexing of your candidate database and screening begins immediately.
Skima AI works in the background
Every new application triggers automated resume screening. Your existing candidate database gets indexed for rediscovery. Fraud signals are evaluated. Nothing changes in how your team uses Spark Hire Recruit.
Results appear in Spark Hire recruit
Skima AI writes screening scores, match explanations, fraud risk ratings, and interview summaries back to the candidate profile as structured data. Recruiters act from the same screen they already use.
AI layer inside Spark Hire. No separate login.
Skima AI works inside Spark Hire without requiring a separate login or manual entry. Screening scores appear on the candidate profile. Fraud detection appears alongside application details. Interview summaries appear as structured notes. Match explanations appear next to your scorecards.
- Results written to the Spark Hire Recruit candidate profile
- No additional Spark Hire Recruit seat or license required
- Existing Spark Hire Recruit permissions apply to all Skima AI outputs
- Compatible with Spark Hire Recruit's structured interview workflow
Enterprise-grade responsible AI for Spark Hire integrations
NYC Local Law 144
Bias audit completed and published. All Automated Employment Decision Tool requirements met for automated hiring decisions.
EU AI Act
High-risk AI transparency, explainability, and human oversight requirements met. Applies to candidate matching, screening, and JD optimization.
Bias Auditing
Adverse impact analysis covers every AI decision. Candidate matching, JD optimization, interview question generation, and candidate scoring.
Data Ownership
Your candidate data is never used to train models for other customers. Full data isolation between accounts. Your database stays your competitive advantage.
SOC 2 Type II Certified
Candidate data encrypted at rest and in transit. Infrastructure audited and certified to SOC 2 Type II standards.
Human in the Loop
AI recommends, your recruiter decides. Skima AI never auto-rejects a candidate and never auto-advances anyone to an offer.
Ready to automate screening in Spark Hire?
Frequently asked questions
Everything you need to know about the Spark Hire integration
Can we use AI to screen resumes or rank candidates in Spark Hire?
Yes, Skima AI connects to Spark Hire Recruit via the Evaluation API and automatically screens resumes against the job criteria. Candidates are ranked and sorted by fit. Shortlists and screening scores write back to the candidate profile inside Spark Hire Recruit without migrating ATS data.
Does Skima AI work inside Spark Hire without requiring a separate login?
Yes, Skima AI integrates natively with Spark Hire Recruit through the Evaluation API. Screening scores, match explanations, fraud risk ratings, and interview summaries all write back to the candidate profile inside Spark Hire Recruit. Recruiters never leave the ATS or log into a separate platform.
Does Skima AI detect bot applicants in Spark Hire?
Yes, Skima AI detects bot applicants, AI-generated resumes, proxy applicants, and resume discrepancies before they reach your interview step. Detection results write back to the Spark Hire Recruit candidate profile as fraud risk ratings. Recruiters review the flag and decide how to proceed. Skima AI never auto-rejects.
How does Skima AI connect to Spark Hire?
Through the Spark Hire Recruit Evaluation API without migrating ATS data. An admin activates Skima AI from Spark Hire Recruit's Integrations page, copies the generated API key, and pastes it into Skima AI to go live.
Does Skima AI help to rediscover candidates already in my Spark Hire ATS database?
Yes, Skima AI sources candidates from your Spark Hire Recruit candidate database, including archived applicants and candidates who didn't advance in previous roles. When a new position opens, Skima AI uses semantic matching to surface past applicants who fit, ranked with explainable scores. Results write back to the candidate profile inside Spark Hire Recruit before your team sources externally.
Does Skima AI run automated AI interviews inside Spark Hire?
Yes, Skima AI runs AI video interviews the moment a candidate applies or reaches a Spark Hire Recruit workflow step you define. A structured summary, transcript, and scores against your job criteria write back to the candidate profile. Recruiters review pre-screened candidates inside Spark Hire Recruit without scheduling manual phone screens.
Which AI screening solutions offer explainable AI for hiring decisions?
Skima AI offers explainable AI matching for Spark Hire Recruit. Every match score includes the reasoning: which skills aligned, which experience transferred, which criteria the candidate met or missed. This differs from black-box scoring tools that return a number without evidence. Explainable AI means your team can audit every recommendation before acting on it.
What hiring tools identify resume discrepancies before background checks?
Skima AI detects resume discrepancies at the application step, before background checks start. This includes inconsistencies between claimed employment history, qualifications, and verifiable signals. Fraud risk scores write back to the Spark Hire Recruit candidate profile so recruiters can investigate or reject before the candidate reaches an interview or offer step.
Is Spark Hire candidate data secure with Skima AI?
Skima AI reads from your Spark Hire Recruit instance via the Evaluation API. Candidate data stays in Spark Hire Recruit. Skima AI does not copy it to a separate database, does not use it to train AI models, and does not require migration. The connection is SOC 2 Type II certified, GDPR compliant, and encrypted at rest and in transit.