Crosschq

What it is

Crosschq instruments the hiring funnel — AI screening interviews, assessments, structured-interview capture, 360 reference checks, identity and fraud checks — and then joins that pre-hire signal to post-hire outcomes, so a recruiting team can say which sources, interviewers, and scores actually predicted a good hire. The reference-checking product (Crosschq 360) is what most buyers know it for. The quality-of-hire analytics layer is what it is built to sell.

Two 2026 moves changed the shape of the product. On 20 January 2026 it shipped the AI Interview Suite, putting autonomous AI interviews, live interview intelligence, and deepfake detection behind one scorecard. On 31 March 2026 it acquired Traitify, the high-volume frontline assessment vendor — Big Five-based behavioral and cognitive tests, vendor-reported 50M+ assessments delivered, customers including McDonald’s, Whole Foods, and 7-Eleven — giving Crosschq a validated psychometric layer it did not previously own.

Why it shows up in Recruiting stacks

• It closes the loop most stacks leave open. Greenhouse and Ashby record what happened in the funnel. The Insights layer joins that to performance and retention data pulled back from the HRIS, which is the join nearly every team plans and almost none finishes.
• Reference checks that produce structured data, not a phone call. 360 collects references through a questionnaire and returns scored competency data, so a reference becomes a comparable field rather than an anecdote. The split against the reference-check summary skill is clean: buy 360 for async questionnaire collection, run the skill if your hiring managers insist on live calls.
• Fraud detection is a product here, not a feature. Identity checks, résumé-integrity forensics, interview-authenticity and deepfake detection, reference validation, and a combined candidate risk score, all exposed over an API. A March 2026 ID.me partnership added wallet-backed identity verification, available to customers from 1 April 2026.
• Multi-grader scoring on AI interviews. Each question is scored by several independent AI graders, and a supervisor model aggregates them into the final score. That is a different design from single-pass LLM scoring, and it is why these scorecards survive scrutiny better than most.

Pricing

Quote-only. There is no public pricing page and no free tier. Real contracts are smaller than the enterprise positioning implies: Vendr’s marketplace data puts the median Crosschq contract at $4,725/year, with observed contracts running $4,500 to $14,200/year. That is a mid-market line item rather than a platform commitment, and it is the strongest single argument for the product — the analytics layer costs less than one bad hire.

Expect that band to move once assessments and AI interviews are in scope. Those are volume-priced, and reference checking is the cheap door into the platform.

Best for

Recruiting operations leads and TA analytics owners at 200-to-2,000-person companies who already run a modern ATS, can actually get at HRIS performance data, and need to defend hiring decisions with something better than time-to-fill.

Alternatives and when to pick them instead

• HireVue — the enterprise incumbent for assessment plus video interviewing. Pick it when procurement wants one large validated vendor with published adverse-impact studies and a compliance team to match, and you can absorb the rollout.
• SHL — the psychometric incumbent. Pick it when assessment validity is itself the deliverable and legal expects to defend it in a hearing. The Traitify line is credible but younger and narrower.
• Mercor and Apriora — the fast-growing AI-interview entrants. Pick them if screening throughput is the only problem you are solving and you do not want the analytics, assessment, or reference surface.
• iCIMS — owns SkillSurvey. Pick it if you are already an iCIMS shop and reference checking is all you want; the native path beats a second vendor on price and on data movement.
• Eightfold — pick it when the requirement is talent intelligence and internal mobility across the employee lifecycle, not hiring-outcome measurement specifically.

If none of these fit, the fallback is a quarterly manual quality-of-hire review joining ATS exports to HRIS performance ratings in a spreadsheet. It is tedious, it works, and it tells you whether the automated version is worth buying.

Watch-outs

• The outcome model is vendor-reported and unaudited. Crosschq states its hiring success models are trained on 170M+ hiring outcomes; its own company boilerplate elsewhere says 200M, which is not reassuring about precision. Guard: treat predictive scores as a ranking aid, not as evidence. Before renewal, backtest predicted quality of hire against your own 12-month performance and retention data, and require that correlation in writing.
• Reference response latency is the recurring user complaint. Reviewers on G2 (4.6/5 across 161 reviews, 63.5% mid-market) repeatedly flag references who never reply, which stalls the offer stage; several also want open-text reference answers instead of dropdown selections. Guard: never gate an offer on reference completion. Set a 3-business-day SLA and a documented override path before rollout.
• A small independent vendor is becoming your identity infrastructure. Roughly $35M raised, with the last priced round a 2021 Series A, and it is now vendor of record for candidate identity data. Guard: require a data-portability and exit clause covering reference and assessment records, and keep identity verification contractually severable so the ID.me relationship can be re-pointed if Crosschq is acquired.
• AI interviews and assessments are regulated hiring tools. NYC Local Law 144, Illinois AVDA, and the EU AI Act all apply. Guard: obtain bias-audit artifacts for the AI Interview Suite and for the specific Traitify instruments you deploy. A platform-level compliance statement is not an audit of the module you turned on.