Compliance & GRC

Algoreg

Est. 2018 Australia Updated 2026-02-10
Unverified by r/legaltech members — this page is based on publicly available information, not hands-on testing or practitioner feedback. Verify your experience with Algoreg

Algoreg (Algoreg Tech SAS) is a Luxembourg-based RegTech company providing AML/KYC compliance and identity verification solutions, part of Olky Group. Three core products: Go!Vid (customizable video onboarding with identity verification, fraud detection, selfie-to-document matching, voice scanning in multiple languages), Go!Scan (watchlist screening against global AML/PEP/sanctions lists with alert management), and Go!Risk (risk assessment with custom decision trees for enhanced due diligence). Founded by experts with 20+ years in compliance and payment industry. $1M raised (Mar 2025, fintech.global) to enhance onboarding offering. ~5 employees. ~347 LinkedIn followers. CFI.co award: ‘Most Innovative Identity Compliance Solutions Europe 2018.’ Listed in Deloitte RegTech Universe 2024. Cited by European Banking Authority in remote KYC solutions assessment. Cited by Loyens & Loeff in Luxembourg AML comparative guide. LHoFT (Luxembourg House of Financial Technology) member. Featured in Paperjam Delano: ‘real customer-centric company dedicated to flexibility and efficiency.’ Cited in Manitoba Law Journal academic article on RegTech for robo-advisers. Data encrypted at rest and in transit per vendor. Part of Olky Group (Luxembourg neobank). Primarily serves European financial institutions for client onboarding compliance.

Company Info

  • Founded: 2018
  • Team size: 1-10 employees
  • Funding: $1M
  • HQ: Australia
  • Sector: Governance/Compliance/Risk Management

What We Haven’t Verified

This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.

Workflows

Based on practitioner evidence, Algoreg is used in these workflows:

What practitioners struggle with

Real frustrations from legal professionals — the problems Algoreg addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.

Fund manager's compliance team needs to verify KYC/AML for every LP in a new fund — 40 investors across 12 jurisdictions, each with different beneficial ownership structures, and the 31 CFR deadline is approaching while half the investors haven't submitted their compliance documentation

Filing & Compliance 13 vendors affected In-house counsel · Legal ops · fund-counsel · compliance-officer

New FinCEN beneficial ownership rules (31 CFR) require fund managers to collect and verify investor identity information by 2026 — the compliance team is manually screening each LP against sanctions lists using spreadsheets and can't keep up with the pace of new fund closings

Filing & Compliance 2 vendors affected corporate-attorney · compliance-officer · fund-administrator · In-house counsel

Where it fits in your workflow

Before Algoreg

Financial institution needs to onboard new client or investor → AML/KYC regulations require identity verification, PEP/sanctions screening, and risk assessment → manual processes involve document collection, watchlist checks across multiple databases, and risk scoring → compliance team needs automated, auditable onboarding workflow

After Algoreg

After Algoreg processes client → Go!Vid verifies identity (video, document, selfie match) → Go!Scan screens against global watchlists → Go!Risk calculates risk score → compliance officer reviews flagged cases → approved clients onboarded with full audit trail → ongoing monitoring for sanctions list changes → when regulator audits AML compliance, Algoreg provides evidence trail

Integrations & hand-offs

Algoreg → compliance team (KYC review decisions); → relationship managers (client onboarding status); → regulators (AML compliance evidence); → Olky Group (parent company neobank integration). Olky Group's OlkyPass service redirects to Algoreg for identity verification.

Community Data

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