Top 20 regtech startups to have on your radar in 2024

Top regtech startups

Complete list of regtech startups startups that are worth knowing:

Transmit Security

Founded in 2014, Transmit Security developed a cloud-based platform that uses techniques like facial and behavioral biometrics to authenticate users seamlessly without passwords or OTPs. Companies can secure accounts and workflows using adaptive MFA.

By streamlining complex identity management, Transmit Security drives adoption of enhanced security while delivering smooth user experiences devoid of password hassles. Their solutions balance robust protection with convenience.

Advance

Founded in 2021, Advance developed identity verification, credit risk analysis, and fraud detection tools harnessing automation and deep learning to evaluate individuals and entities almost instantly. Clients customize rules engines to their needs.

By equipping businesses with predictive analytics, Advance enables confident real-time decisions to safely onboard customers and avoid fraud. The algorithms crunch massive datasets to surface patterns and insights predictive of risk.

Tongdun

Founded in 2013, Tongdun developed a risk management platform combining machine learning, cybersecurity, and big data analytics tailored to combat constantly evolving fraud schemes and techniques.

Customers integrate Tongdun’s decision engine with payments systems to analyze transactions and user data for malicious indicators in real time. The AI recognizes patterns and complex relationships invisible to humans.

Behavox

Founded in 2014, Behavox applies natural language processing and machine learning to analyze communications data within organizations. Custom rules and analytics uncover critical patterns and insights.

By centralizing this data for continuous evaluation, Behavox aims to keep companies on top of potential issues around conduct, risk, and performance. Their technology delivers visibility once obscured in siloed systems.

CyberGRX

Founded in 2016, CyberGRX built a dynamic risk management platform centralizing vendor assessments, data exchange, analytics, and integrated workflows powered by shared data. Customers gain control over cyber risk.

By making risk management collaborative and intelligence-driven, CyberGRX arms enterprises to evolve data security from vendors to end users and everywhere between. Their technology provides unified solutions for the depth and scale of modern cyber exposure.

EXIGER

Founded in 2012, EXIGER developed AI-powered software automating compliance processes to reduce costs and complexity for legal, compliance, audit, and risk teams. The technology handles data collection, document scanning, model building, and analytics.

By optimizing fragmented compliance workflows, EXIGER aims to deliver end-to-end digital compliance transformation. Teams save time on grunt work to focus on higher-value oversight initiatives. EXIGER makes effective risk mitigation scalable.

TRM

Founded in 2018, TRM provides customized tools covering ID verification, transaction monitoring, fraud screening, audit trails, investor accreditation checks, and reporting automation needed to scale crypto business responsibly.

By streamlining fragmented compliance functions, TRM enables innovators to build within the emerging crypto economy with proper controls. Their platform integrates compliance to free focus for core product growth.

PeerNova

Founded in 2013, PeerNova developed blockchain-based platforms automating compliance processes including custody relationships, trade events, investment restrictions, and regulatory reporting.

By optimizing fragmented compliance workflows, PeerNova aims to deliver the next generation of efficient regulatory technology infrastructure tailored for capital markets. Their solutions upgrade rigid legacy systems.

Spring Labs

Founded in 2017, Spring Labs developed a decentralized network allowing entities to gain insights across data sets without exposing sensitive customer information using advanced cryptography and blockchain-based data governance.

Participants receive valuable model results trained across broader data for more accurate underwriting and fraud detection without compromising security or control. Spring Labs unlocks collaboration potential within highly regulated industries like banking, investing, and healthcare.

DataVisor

Founded in 2013, DataVisor developed an unsupervised machine learning platform processing vast amounts of unstructured data to model normal and abnormal behavior and interactions across users, accounts, networks, and transactions.

By enabling predictive threat intelligence, DataVisor helps organizations mitigate risk and loss through intelligent decision-making, automation, and adaptive controls targeting financial crime. Their AI solutions uncover and neutralize sophisticated threats.

Eventus

Founded in 2013, Eventus developed a cloud platform performing real-time and T+1 analysis of trading activity across equities, futures, foreign exchange, and other instruments. Adaptive machine learning discovers anomalies and risky behaviors.

By enabling comprehensive trade monitoring, Eventus aims to help financial institutions manage risk, ensure just markets, and meet regulatory obligations. Their technology automates detection across all electronic trading activity.

Synctera

Launched in 2020, Synctera’s network model matches banks and vetted fintechs to develop digital offerings combining fintech innovation with a bank sponsor’s regulatory licenses and infrastructure.

By enabling joint solution creation, Synctera opens access to financial services innovation and scale to the benefit of consumers and businesses. Their community powers the fintech capabilities and reach to make banking more competitive and accessible.

Solidus Labs

Founded in 2017, Solidus built an intelligent analytics platform combining natural language processing with crypto market data to uncover insider trading, pump and dumps, spoofing, and other malignant behaviors across centralized and decentralized exchanges.

By illuminating abuse, Solidus helps restore confidence and fairness vital to stable crypto market growth. Their solutions empower proactive monitoring and enforcement not previously possible in an opaque domain.

Ravelin Technology

Founded in 2016, Ravelin developed a cloud-based platform analyzing behavior patterns and relationships within transaction data to identify malicious activity with greater accuracy while minimizing false positives.

The adaptive machine learning models detect increasingly sophisticated fraud techniques that evade traditional rule-based systems dependent on historical attack patterns. Ravelin delivers fraud intelligence evolved for modern threats.

Corlytics

Founded in 2013, Corlytics developed AI-powered SaaS monitoring regulatory developments across jurisdictions and assessing new requirements against business activities to determine applicability and action steps for compliance teams.

By proactively identifying impacts, Corlytics enables compliance resources to focus on the most pertinent risks and avoid wasted efforts addressing irrelevant regulations. Their platform optimizes focus for what matters most.

Sardine

Founded in 2020, Sardine developed an intelligent platform combining computer vision, machine learning, and data integration to combat increasingly sophisticated identity fraud and accelerate revenue through compliant, low-friction customer onboarding.

By automating identity proofing and risk analysis, Sardine empowers banks, lenders, and payments companies to onboard good customers faster while accurately stopping only the small portion of truly high-risk applicants. Their technology maximizes opportunity within guardrails.

Qumata

Founded in 2020, Qumata applies advanced analytics and machine learning to vast data sets of medical research, actuarial statistics, and internal claims to build predictive models identifying key determinants of mortality, longevity, and healthcare outcomes.

Powered by data-driven insights, insurers enhance risk assessment, pricing, product design, and underwriting. Qumata’s intelligence platform empowers insurers to quantify risk with greater precision and speed. Their innovations unlock the future of risk evaluation.

Tookitaki

Tookitaki was founded in 2018 to bring the latest AI technology to compliance teams. Their software analyzes transactions and customer behavior to pinpoint risks. Advanced analytics provide insights not visible to humans.

Tookitaki’s solutions automate workflows for AML and fraud prevention. Suspicious activity is flagged for review. Analysts have access to visualizations and risk scoring to streamline investigations. Ongoing machine learning improves detection over time.

SteelEye

SteelEye was founded in 2017 to help financial companies navigate complex regulations. Their platform integrates real-time data analysis and reporting tools. It captures trade details and communications for compliance needs. Users also get access to regulatory insights and updates.

Key features include trade reconstruction, record keeping, and transaction reporting. SteelEye’s solutions are designed to automate compliance processes. This reduces operational risks and improves efficiency. Their system works across asset classes and jurisdictions.

Solidatus

Solidatus was founded in 2017 to solve data challenges for large organizations. Their centralized platform integrates siloed data sources. It catalogues, links, and visualizes data relationships. Users get a holistic view of complex enterprise data.

Key features include data lineage mapping, governance frameworks, and AI-powered discovery. Role-based controls enable secure collaboration. Intuitive visuals provide insights into quality, compliance, and analytics-readiness.

Conclusion

Regulatory technology startups have rapidly emerged in recent years to help companies more efficiently comply with regulations using innovative technologies. By automating compliance and providing actionable data, these RegTech disruptors allow organizations to focus less on box-ticking and more on core business growth.