Scovai Scovai

Built on world-class AI foundations.

Scovai's technology stack combines cutting-edge NLP, validated psychometric science, and enterprise-grade AI to deliver talent intelligence at scale.

How candidate data flows through Scovai.

Every data point is processed through our multi-stage intelligence pipeline in milliseconds.

Candidate
CV Upload
AI Analysis
Psychometric Model
Behaviour Signals
Talent Passport
Smart Hire

Four engines powering talent intelligence.

Each module is independently validated, enterprise-tested, and built to GDPR compliance and security best practices.

AI Matching Engine

Our matching engine analyses job requirements and candidate profiles using a multi-layer AI pipeline: a deterministic Skill Coverage Index identifies matched and missing skills with full transparency, while an LLM evaluation layer scores candidates across six explainable dimensions. Recruiters see exactly why a candidate scored as they did, not just the number.

Architecture Embedding similarity + structured scoring
Model Base Multi-layer AI pipeline (SCI + LLM scoring)
Dimensions scored 6 explainable dimensions
Inference experience Sub-second ranked output
Semantic Search Six-dim Scoring Explainable

Psychometric Modeling

Psychometric assessments draw on established normative samples (CCAT, ICAR). Question selection is adaptive — early responses adjust the difficulty of subsequent items, giving a precise estimate in fewer questions.

Frameworks Big Five + DISC behavioral frameworks
Assessment method Adaptive item selection
Validation approach Normative samples (CCAT, ICAR)
Reliability reporting Per-assessment, in documentation
Big Five DISC Model Adaptive Testing

Decision Intelligence

Our behavioral simulation engine measures decision-making style through scenario-based assessments. Score interpretation uses fixed normative samples rather than training on customer data, keeping every output auditable and free of hidden weights that drift over time.

Assessment type Scenario-based behavioral
Training approach No proprietary training on customer data
Dimensions measured Behavioral pattern dimensions
Validation approach Ongoing customer benchmarking
Scenario Models Behavioral Signals Auditable Outputs

Bias Mitigation Engine

Our fairness-aware scoring pipeline monitors hiring outcomes for disparate impact, score distribution skew, and conversion-funnel divergence — at every recruiter, at every pipeline stage. Protected-attribute fields are excluded from scoring inputs, and bias reports are exportable for audit. Mitigation operates through transparency and recruiter override, not opaque algorithmic correction.

Fairness approach Continuous fairness monitoring
Alignment EU AI Act + UAE AI Charter
Protected attributes Excluded from scoring inputs
Mitigation approach Transparency + recruiter override
AI Act Aligned Bias Monitoring Audit Ready

Enterprise-grade infrastructure.

Built for scale, security, and compliance from day one.

Presentation Layer

REST API · GraphQL · Webhooks · SDK · ATS Connectors

Intelligence Orchestration Layer

Job Analysis · Profile Engine · Match Coordinator · Ranking Service

AI Model Layer

Matching Engine · Psychometric Model · Decision Intelligence · Bias Filter

Data & Storage Layer

Encrypted Data Store · Vector DB · Analytics · Audit Logs

Security & Compliance Layer

GDPR · EU AI Act · UAE AI Charter · End-to-End Encryption · Audit Logs

Every decision has a reason.

We believe AI in hiring must be transparent. Scovai's XAI layer provides plain-language explanations for every candidate score and ranking decision. No black boxes. Every recommendation is auditable.

Factor Breakdown

Every score is decomposed into contributing factors with individual weights and explanations.

Audit Trails

Full audit logs of every hiring decision, AI recommendation, and data transformation—forever.

Human Override

Recruiters can always override AI recommendations and annotate decisions for continuous learning.

Explainability Report

Jordan Chen

96 OVERALL

Score Contributors

Skills Match (30%) 94/100
Culture Fit (25%) 98/100
Decision Style (25%) 91/100
Personality (20%) 96/100

Recommendation: Top candidate for this role. High confidence. Recommend immediate interview.

Enterprise security, by design.

Scovai is built for enterprise compliance from day one — with security, privacy, and audit controls aligned to your team's requirements.

Security Operations

Encryption, access controls, audit logging

GDPR

Data protection compliant

Fair Hiring

Standards-based hiring methodology

EU AI Act

Aligned with transparency requirements

Information Security

Best-practice security operations

E2E Encryption

AES-256 at rest & in transit

Data Residency

EU-based processing

Audit Logs

Full decision audit trail

Scovai connects to your entire workforce stack.

No rip-and-replace. Scovai embeds seamlessly into the HCM platforms, ATS systems, collaboration tools, and LMS solutions your teams already use — turning fragmented hiring workflows into one unified intelligence layer.

SF
Salesforce CRM / HCM
GH
Greenhouse ATS
WD
Workday HCM
LI
LinkedIn Talent Sourcing
SAP
SAP SuccessFactors HCM
S

Scovai

AI Talent Intelligence Hub

SL
Slack Collaboration
MS
MS Teams Collaboration
API
REST API Any Platform
DG
Degreed LMS
LV
Lever ATS
HCM Platforms
ATS Systems
Collaboration
LMS / Learning
API / Custom

Plug in, don't replace

Native integrations with the platforms you already own. No migration headaches, no retraining — just immediate intelligence on top of your existing stack.

Bi-directional sync

Real-time data flows in both directions. Candidate data, assessments, and decisions stay in sync across every connected system automatically.

Open API & webhooks

Build custom integrations using our REST API and webhook engine. Connect any platform, trigger workflows, and extend Scovai to fit your unique architecture.

Your AI runs inside your walls.

Scovai operates within your company's AI infrastructure. Sensitive HR data never leaves your environment — only anonymised signals cross the boundary to our intelligence layer.

Your Corporate Perimeter

Private Data Stays Private

Your internal AI models, HR records, and compensation data remain entirely within your corporate boundary. Scovai never ingests raw PII or sensitive workforce data.

Internal LLM / AI Model

Your Azure OpenAI, private GPT, or on-prem model

People Data & HR Records

Payroll, performance, internal talent data

Role & Compensation Data

Job grades, salary bands, headcount plans

Zero data egress

Secure Encrypted Bridge

Anonymised signals only

TLS 1.3
AES-256
Zero-trust
Scovai Intelligence Layer

AI Models, Not Your Data

Scovai's matching, psychometric, and bias engines receive only anonymised vectors and signals — never names, emails, or identifiable records.

AI Matching & Psychometrics

Anonymised vectors · No PII

Talent Passport Engine

Certified credentials · Cryptographically signed

XAI & Bias Monitoring

EU AI Act compliant · Explainable outputs

GDPR-native

Bring Your Own AI

Connect your existing Azure OpenAI deployment, private GPT instance, or any on-premises model. Scovai orchestrates intelligence on top of the AI you already trust.

Azure OpenAI Private LLM On-premises

Data Never Leaves Your Perimeter

Raw HR data, compensation records, and personal information remain inside your network. Only non-reversible anonymised vectors are processed by Scovai engines.

No data egress Anonymised vectors PII-free processing

Zero-Trust Architecture

Every connection is authenticated, encrypted, and verified. RBAC policies, audit trails, and TLS 1.3 ensure your data is protected at every layer of the stack.

TLS 1.3 Zero-trust RBAC

Enterprise AI adoption fails when sensitive data has to leave the building. We designed Scovai's architecture so it never has to.

— Scovai AI Architecture Principle

Ready to experience the intelligence layer?

Try the platform free or talk to our team about enterprise deployment.

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