Algolytics
Algolytics offers a comprehensive platform for Data Science teams to implement machine learning and artificial intelligence solutions, automating processes and enabling data-driven business decisions. Their products include Scoring.One for MLOps, Data Quality for data cleaning and enrichment, Automatic Business Modeler (ABM) for AutoML, AdvancedMiner for integrated data science tasks, and Event Engine for real-time data processing. They support key business areas such as credit scoring, fraud detection, location intelligence, and customer intelligence. Algolytics emphasizes high performance, with capabilities for processing thousands of queries per second and real-time processing under 2ms. They have a strong client base, serving over 50 leading financial institutions, telecommunications, e-commerce, and logistics companies, with reported benefits like increased sales, reduced costs, and improved operational efficiency.
Algolytics
Algolytics offers a comprehensive platform for Data Science teams to implement machine learning and artificial intelligence solutions, automating processes and enabling data-driven business decisions. Their products include Scoring.One for MLOps, Data Quality for data cleaning and enrichment, Automatic Business Modeler (ABM) for AutoML, AdvancedMiner for integrated data science tasks, and Event Engine for real-time data processing. They support key business areas such as credit scoring, fraud detection, location intelligence, and customer intelligence. Algolytics emphasizes high performance, with capabilities for processing thousands of queries per second and real-time processing under 2ms. They have a strong client base, serving over 50 leading financial institutions, telecommunications, e-commerce, and logistics companies, with reported benefits like increased sales, reduced costs, and improved operational efficiency.
TL;DR
Headquarters: Warsaw, Poland (Algolytics Technologies Sp. z o.o.)
What they do: End-to-end Data Science / ML & AI platform for production ML (scoring, AutoML, data quality, streaming/feature store).
Notable products: AdvancedMiner, Event Engine (streaming/feature store), Data Quality, ABM (AutoML), Scoring.One (MLOps)
Customers / impact: Serves 50+ leading financial institutions, telco, e‑commerce and logistics clients; reported gains in sales, cost reduction, efficiency
Claims thousands of queries/sec and real-time processing under 2 ms
Company Overview
Problem Domain
Operationalizing machine learning and ensuring data quality for decision automation in business domains such as credit scoring, fraud detection, forecasting, recommendations, and location intelligence.
Founded
2001
Industry
Data Science / Machine Learning / Artificial Intelligence
Tech Stack
Funding Track Record
€70.0k
Dealroom preview shows Oct 2015 entry: GreatPoint Ventures (€70.0k, Late VC).
€0.0
Dealroom preview shows an entry in Jan 2014 with amount displayed as €0.0 in the preview table.
€0.0
Dealroom preview shows an entry in Dec 2014 with amount displayed as €0.0 in the preview table.
Crunchbase preview identifies the company at Series A stage; specific Series A amount/date not visible in preview.
Investor Signal
“Multiple venture investors are listed in public profiles: Dealroom mentions GreatPoint Ventures, PFR Ventures, Experior Venture Fund, Giza Polish Ventures, Luma Investment S.A. / Luma Ventures; Crunchbase lists 3 investors including Luma Ventures and Experior Venture Fund.”