datrics.ai
datrics.ai is a company.
Financial History
Leadership Team
Key people at datrics.ai.
Frequently Asked Questions
Who founded datrics.ai?
datrics.ai was founded by Anton Vaisburd (Co-founder).
datrics.ai is a company.
Key people at datrics.ai.
datrics.ai was founded by Anton Vaisburd (Co-founder).
datrics.ai was founded by Anton Vaisburd (Co-founder).
Key people at datrics.ai.
Datrics.ai is a cloud-based, no-code/low-code platform that democratizes data science and analytics by enabling users to build data pipelines, deploy machine learning models, and access AI-powered insights through drag-and-drop interfaces and natural language queries.[1][2][3] It serves business users, analysts, developers, and enterprises in sectors like software, recruitment/HR, sales/marketing, financial services, e-commerce, and healthcare, solving the problem of fragmented data sources, manual spreadsheets, and complex coding by automating data processing, predictive analytics, and conversational AI analysis.[2][3][4] The platform's growth includes Y Combinator backing, $1.5 million raised across three rounds as of early 2025, and specialized tools like AI Analyst for instant insights and Datrics HCP for healthcare claims automation.[3][4][5]
Founded in 2019 in the USA with support from Y Combinator and Google for Startups Ukraine Support Fund, Datrics emerged from founders Anton (CEO, ex-Data Science Manager at Barclays IB and SoftServe, built 30+ FTE data science teams), Kirill (CTO, 14+ years dev experience, ex-CTO at 4irelabs), and Volodymyr (COO/Head of Growth, ex-Motorola, Oracle, Apple), who identified enterprises' struggles with data consolidation in banks and credit unions.[1][3][4] Their combined expertise in AI, machine learning, software development, and business strategy drove the idea to streamline insights delivery, evolving from general no-code analytics to specialized AI agents like conversational analysts and healthcare coding automation.[1][4][5]
Early traction focused on automating repetitive tasks for traditional enterprises, with pivotal moments including platform expansions into predictive intelligence, multi-source analysis, and sector-specific solutions like social media data visualization and healthcare claims processing.[2][6][7]
Datrics rides the AI democratization and no-code analytics wave, capitalizing on the explosion of generative AI and multi-source data overload in enterprises, where managers waste time on spreadsheets amid talent shortages for data science.[3][4] Timing aligns with 2020s shifts toward embedded AI agents and low-code platforms, fueled by market forces like rising AI adoption in HR (candidate prediction), finance (real-time risk), and healthcare (claims automation), enabling non-technical users to drive decisions.[2][5] It influences the ecosystem by empowering startups and incumbents to integrate ML without heavy engineering, fostering data-driven cultures and competing in a fragmented space against tools like Copilot by prioritizing proprietary workflows and sector depth.[3][4]
Datrics is poised to expand its AI Analyst into more verticals like e-commerce personalization and operations, leveraging Y Combinator networks for enterprise deals and healthcare momentum via Datrics HCP.[3][4][5] Trends like agentic AI, multimodal data processing, and regulatory pushes for compliant analytics (e.g., finance/compliance monitoring) will shape its path, potentially scaling influence through partnerships and further funding.[2] As no-code evolves, Datrics could redefine business intelligence by making AI for everyone a reality, turning data overload into strategic edge from its strong foundational vision.[1][3]