Hire with proof, not promises.

Independent skills validation and hiring intelligence for enterprise technical teams. Know who can actually do the work — before the offer.

The Problem

Interviews reward performance. Not competence.

Technical hiring is broken. Candidates rehearse answers. AI generates polished portfolios. And your team spends weeks interviewing people who can’t do the job.

Raise Skills Validation evaluates the candidates you already have — with proof-of-work assessments, skills fraud detection, and AI competency validation — so you make decisions based on evidence, not gut feel.

20%

Of candidates flagged for skills fraud

74%

Of engineering leaders say interview performance doesn’t predict on-the-job success

$45K+

Average cost of a bad technical hire within the first 6 months

How It Works

Evidence-based hiring in three steps.

We evaluate the candidates you already have. No placement. No recruiting. Just truth.

1

Define the Role

We deconstruct the role into a validated skills taxonomy — the actual competencies required, not a wish-list job description. AI/ML, cloud infrastructure, full-stack, data engineering — mapped to what the work actually demands.

2

Assess with Proof

Candidates complete proof-of-work technical assessments, Jupyter-based coding challenges, and video knowledge checks. AI scoring delivers 0–100 ratings with evidence breakdowns — strengths, risks, and transcript-anchored clips.

3

Decide with Confidence

You get a scored pipeline with skills fraud flags, hire/pass recommendations, and the evidence to defend every decision to your VP or board. No opinions — just data.

Service Tiers

Choose the depth you need.

From standalone signal to full hiring strategy — each tier builds on the last.

Role deconstruction & skills taxonomy
Proof-of-work technical assessments
AI-scored candidate pipeline (0–100)
Skills fraud detection flags
Evidence-anchored scoring breakdowns

Everything in Signal
Video knowledge checks with clip highlights
Comparative candidate analysis
Risk-adjusted hire/pass recommendations
Engagement summary report

Popular

Everything in Signal + Insight
Market intelligence & constraint analysis
Sourcing plan & pipeline design
Ongoing pipeline health monitoring
Quarterly talent strategy reviews

Why Raise

Neutral. Evidence-based. Structurally different.

Most assessment vendors are selling you candidates or software seats. We evaluate the people you already have — with no placement incentive, no upsell, no conflict of interest. The evidence speaks for itself.

No Placement Conflict

We don’t place candidates. We evaluate them. Our only incentive is accuracy — which means you can trust the results.

Skills Fraud Detection

AI-generated portfolios, rehearsed answers, credential inflation — we flag it before you make a $45K mistake.

AI Competency Validation

Separate real capability from interview performance. Proof-of-work assessments that candidates can’t game with GPT.

Evidence You Can Defend

Every score comes with transcript clips, code artifacts, and risk analysis. Take it to your VP, your board, or your audit team.

Proof Point

Enterprise AI Hiring — Validated.

AI/ML hiring engagement for a major financial services organization. 10 candidates assessed through proof-of-work technical evaluations, video knowledge checks, and AI-scored competency analysis.

Result: 20% of candidates flagged for skills fraud. Two strong hire recommendations delivered with full evidence packages. Time-to-confidence reduced from weeks of interviews to days of data.

20%

Flagged for Skills Fraud

Free Resource

High-Fidelity Hiring

Why evidence-based technical hiring outperforms interviews — and how to make the shift. Download the guide.

Book a Demo

Don’t let outdated hiring practices hold you back. Schedule your demo today and step into the future of critical hiring with Raise.

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