The vocabulary of enterprise intelligence — in one platform.

Customer identification and validation: confirms identity, validates documents, assesses risk and prevents fraud and money laundering.

Business validation: tax ID, ownership structure, revenue, activity code, address, fiscal status and ultimate beneficial owners.

Employee analysis for hiring, internal compliance, investigation and corporate security.

Supplier validation: due diligence, third-party compliance and reputational prevention.

Analysis of commercial and strategic partners before formalization.

Applicant validation in hiring processes — HR, recruitment and executive search.

Investigation and validation of a person or company: records, lawsuits, credit score, professional history, adverse media and social networks.

In-depth investigation before mergers, acquisitions, investments and partnerships — financial, legal, labor and tax.

Detection of synthetic identities built from a mix of real and fabricated data.

Fraud prevention with anti-fraud AI, biometrics, device fingerprint and behavior analytics.

Norms, processes and controls to ensure legal and ethical conformity.

Integrated model of governance, risk management and compliance.

Conformity with privacy, consent and information security.

Structured risk assessment by entity, event or process.

Risk score based on statistical models and AI.

Credit score from bureaus and validated data.

Reputation score: adverse media, lawsuits, social networks and compliance.

Intelligence from public sources: networks, websites, official gazettes and government data.

Management of identity and access to systems and resources.

Multi-factor authentication to reinforce access security.

Facial, fingerprint or behavioral biometrics.

Unique identification of the user device.

Liveness proof to prevent facial fraud with photos or videos.

Digital customer onboarding with OCR, face match, KYC and digital signature.

Baseline customer due diligence in the relationship.

In-depth analysis of high-risk customers.

Identification of politically exposed persons.

Screening against restrictive lists: OFAC, UN, Interpol.

Employee data analysis for management decisions.

Screening of applicants and employees.

Behavioral analysis applied to risk and security.

Automatic reading of documents.

Facial comparison between document and selfie.

Data enrichment: phone, email, activity code, revenue and partners.

Identification and unification of duplicate records.

Massive repository of structured and unstructured data.

Hybrid of data lake and data warehouse — Iceberg, Databricks, Snowflake.

Transportation management system.

Risk management system for transport and cargo.

Real-time vehicle monitoring.

Automatic license-plate recognition.

Driver score by behavior and history.

Risk intelligence applied to cargo and route.

Autonomous AI-based agent for tasks and decisions.

Robotic automation of repetitive processes.

End-to-end workflow automation.

Automated decision engine with rules and models.