DataStreamer is a real-time data enrichment platform designed to power compliance, AML (Anti-Money Laundering), KYC (Know Your Customer), and risk management workflows. Built for organizations operating in regulated environments, DataStreamer aggregates structured and unstructured data from global sources and delivers enriched, context-rich outputs through APIs. The platform helps compliance, finance, and legal teams automate due diligence, streamline onboarding, and stay updated on regulatory risks by feeding high-quality data directly into internal systems.
Features
DataStreamer offers a powerful set of features for enhancing compliance and risk intelligence operations:
Real-Time Data Enrichment: Aggregates and enriches data on people, companies, and events across structured and unstructured sources.
Entity Resolution: Identifies and links data about the same entity across different datasets using AI-driven algorithms.
Custom API Delivery: Provides enriched, normalized data via low-latency APIs for easy integration into internal tools and workflows.
Flexible Source Coverage: Pulls data from global news, sanctions lists, watchlists, corporate registries, and other open sources.
Geographic and Language Coverage: Offers multilingual content and worldwide data sourcing for global compliance needs.
Monitoring & Alerts: Tracks changes and events in real time, providing alerts on relevant developments like sanctions updates or adverse media.
Risk Categorization: Scores entities based on customized rulesets and risk profiles for prioritization and escalation.
Seamless Integration: Designed to work with existing onboarding systems, CRMs, case management tools, and compliance platforms.
These features help organizations detect risks earlier, respond faster, and reduce the burden of manual research.
How It Works
DataStreamer connects to hundreds of global data sources in real time, collecting and transforming raw information into structured, enriched profiles. Organizations can query DataStreamer via its robust API to retrieve risk-relevant insights on individuals, organizations, or jurisdictions. Each entity record is enhanced through AI-based enrichment, including cross-referencing, classification, and tagging. The system allows teams to configure rules for monitoring and alerts based on risk thresholds. Enriched data can be pushed to internal systems or queried on demand, supporting scalable and automated compliance workflows.
Use Cases
DataStreamer is widely used in compliance, financial services, and investigative research. Key applications include:
AML & KYC Programs: Automate screening and monitoring during client onboarding and periodic reviews.
Third-Party Risk Management: Evaluate and monitor suppliers, partners, and contractors for reputational or regulatory risk.
Adverse Media Screening: Detect and classify media reports that may indicate legal, ethical, or operational issues.
Sanctions & Watchlist Monitoring: Keep track of changes in global watchlists and enforcement updates.
Investigative Journalism & Research: Empower analysts and journalists with real-time entity insights from diverse data sources.
Financial Intelligence Units (FIUs): Support investigations into financial crime and suspicious activity with enriched, up-to-date profiles.
These use cases are especially relevant to banks, fintechs, legal teams, and public sector bodies managing high-risk data environments.
Pricing
DataStreamer follows a usage-based pricing model, tailored to the data volume, number of API calls, and level of customization required. Pricing is not listed publicly, and interested organizations are encouraged to request a demo or contact the sales team for a quote. Typically, pricing includes:
Access to global real-time data sources
API delivery of enriched profiles
Support for integration and customization
Monitoring and alert configurations
Enterprise packages may include SLAs, custom risk scoring, and dedicated technical support.
Strengths
DataStreamer excels in its ability to deliver real-time, enriched data from a vast network of structured and unstructured sources. Its API-first design makes it highly flexible and integration-friendly. With global coverage, multilingual capabilities, and AI-powered enrichment, the platform supports nuanced compliance decisions. The alerting and monitoring features reduce manual effort and help teams focus on high-priority risks. DataStreamer also differentiates itself by being fast, scalable, and built for real-world compliance environments.
Drawbacks
As a data enrichment platform, DataStreamer depends heavily on integration with existing internal systems. Organizations without established data pipelines may require development resources to implement it effectively. The platform is primarily focused on API delivery, so teams seeking a built-in user interface or dashboard may need to build or integrate external visualization tools. Also, pricing details are not transparent and must be obtained through a direct inquiry, which may slow the evaluation process for smaller teams.
Comparison with Other Tools
DataStreamer competes with platforms like ComplyAdvantage, Refinitiv World-Check, and Dow Jones Risk & Compliance. Compared to ComplyAdvantage, DataStreamer emphasizes real-time enrichment and greater control via custom APIs rather than a SaaS dashboard. Refinitiv and Dow Jones offer large proprietary datasets but often come with legacy platforms or limited integration flexibility. DataStreamer’s open architecture and API-centric delivery model make it particularly appealing to agile compliance and engineering teams that prioritize speed, automation, and custom workflows.
Customer Reviews and Testimonials
As a relatively new but fast-growing solution, DataStreamer has garnered interest from financial institutions, compliance officers, and investigative firms. Early feedback highlights the speed and depth of the data enrichment, as well as the ability to surface hidden risks through intelligent entity resolution. Users also appreciate the platform’s responsiveness, flexible integration options, and reduction in false positives when screening entities. While extensive public reviews are limited, private feedback from pilot programs suggests strong adoption in regulated industries.
Conclusion
DataStreamer is a cutting-edge data enrichment and compliance platform built for real-time decision-making in high-risk environments. By aggregating and transforming data from global sources into enriched, actionable profiles, it enables organizations to streamline their AML, KYC, and due diligence workflows. With an API-first design, AI-powered enrichment, and flexible integration options, DataStreamer is well-suited to compliance teams and investigative professionals looking to automate risk intelligence. For enterprises aiming to reduce manual work and uncover deeper insights, DataStreamer offers a powerful, scalable solution.
