Sequentum provides the infrastructure for high-scale web data extraction, positioning it at the data acquisition layer of the AI agent stack. Its platform allows developers to build and manage specialized scraping agents that navigate complex websites, bypass bot detection, and convert unstructured web content into structured data. By offering low-code environments for data harvesting, Sequentum provides the information pipelines necessary for grounding LLMs and informing autonomous agent workflows through retrieval-augmented generation (RAG) and real-time research.
For developers building agents, Sequentum addresses the volatility of using the live web as a data source. The company pushes for a transition from brittle, manual scraping scripts to resilient data pipelines that handle the maintenance and compliance aspects of web interaction. This matters to the broader ecosystem because the utility of autonomous agents often depends on their ability to access accurate, fresh data from the public internet without being blocked. By automating the mechanics of web navigation and data structuring, Sequentum enables agents to function as more reliable tools for market intelligence, risk monitoring, and automated decision-making.
Sequentum stands as a vanguard in web data extraction and pipeline automation, dedicated to delivering high-fidelity, reliable, and transparent alternative datasets. Their strategic vision is to transform intuitive low-code technology into a fully automated, scalable cloud-based data platform and marketplace, simplifying data complexity and fostering absolute trust in large-scale data acquisition.
The "secret sauce" of Sequentum lies in its sophisticated ability to navigate the inherent frictions of web scraping—such as aggressive bot detection and complex CAPTCHAs—while ensuring rigorous compliance and scalability. By providing industry-leading bot-blocking resistance and end-to-end low-code control, they mitigate the technical debt organizations incur when maintaining bespoke in-house scripts. This allows for the generation of reliable, custom data to fuel mission-critical analysis without the burden of heavy maintenance or regulatory risk.
Sequentum empowers users to construct sophisticated web scraping agents via their integrated cloud environment (Sequentum Cloud) or a robust on-premise desktop client (Enterprise Data Platform). Utilizing an AI-augmented low-code interface, engineers and analysts can configure agents to navigate complex sites, automate unblocking, and extract structured data for seamless delivery via APIs or databases. For organizations requiring a hands-off approach, Sequentum’s Managed Data Services (DaaS) provide expert-led dataset creation and full operational support.
Founded in 2008 and headquartered in New York, Sequentum is steered by CEO Sarah McKenna, an industry veteran and Technical Advisor to the SIIA FISD Alt Data Council. The leadership team, including co-founders Soeren Mondrup (CTO) and Tony Jaensch (President), possesses profound domain expertise in data engineering, artificial intelligence, and global data governance standards.
Sequentum serves enterprise and mid-market organizations within data-intensive and heavily regulated sectors.
Sequentum functions as an essential "bridge" in the alternative data ecosystem, transforming unstructured web environments into institutional-grade data lakes. Unlike simple scraper extensions, Sequentum offers the security of on-premise deployments and the prestige of SOC2 compliance. Their excellence has been recognized by industry accolades, such as being a CODiE 2025 Finalist for Best Financial & Market Data Solution.
An enterprise-grade, low-code web scraping platform that is fully browser-based and integrated.
An industry-leading web scraping agent builder optimized for Windows environments.
White-glove managed data services providing comprehensive operational support and dataset delivery.
A specialized web scraping agent designed to deliver daily notifications regarding litigation and security breaches.
Sequentum is hiring