Algolytics

Unlock the potential of data.

Data & Analytics Growth Series A

Overview

Algolytics is a data science and machine learning platform provider for enterprise clients in financial services, insurance, telecommunications, e-commerce, and logistics. Based in Warsaw, Poland, the company builds tools that enable organizations to automate AI/ML processes and deploy predictive models at scale. Primary insurance use cases include medical claims automation, fraud detection, credit risk scoring, and customer behavior analysis.

The company offers a suite of analytical products: Scoring.One (low-code MLOps platform), AdvancedMiner (data science IDE), Automatic Business Modeler (AutoML), Event Engine (feature store for real-time streaming data), and Data Quality tooling. Products are deployed on-premise with API connectivity via REST and SOAP, and support integrations with Kafka, JDBC/ODBC connectors, and standard model formats such as PMML.

Algolytics serves 50+ enterprise clients in Central and Eastern Europe. A published case study documents their work with Minte.ai, where they built an NLP module to extract medical information from document scans and an MLOps engine to integrate AI models into insurance company workflows, reducing claims processing costs and handling times. The company raised a Series A round in 2017 from Luma Ventures, Experior Venture Fund, and other investors.

Products & Services

Scoring.One

Low-code MLOps platform for deploying, managing, and monitoring predictive models in production. Processes thousands of queries per second across multiple simultaneous models with sub-2ms response latency. Supports one-click deployment without container or DevOps expertise.

Key Features

REST and SOAP API endpoints with Kafka message queue integration
Model versioning, A/B testing, and configuration promotion across DEV/TEST/UAT/PROD environments
JVM-based reactive engine (Vert.x) delivering higher throughput and faster response times than standard MLflow deployments

Target Users: Insurance and financial institution data science and IT operations teams

AdvancedMiner

Comprehensive data science platform integrating data processing, modeling, validation, and analysis in a unified graphical workspace. Supports classification, regression, segmentation, neural networks, time series, survival analysis, and graph models.

Key Features

Algorithms include logistic regression, decision trees, random forests, and XGBoost
Multi-language support: Python, SQL, Java, Groovy, R
Client-server architecture with parallel computation and proprietary GDBase storage

Target Users: Data science teams in financial institutions developing and validating predictive models

Automatic Business Modeler (ABM)

AutoML platform for creating advanced ML models without programming expertise. Generates batch and real-time predictions, enabling non-technical business users to develop credit scoring, churn, and fraud models.

Key Features

Automated model creation for credit scoring, churn prediction, and fraud detection
Supports both batch and real-time scoring outputs
Designed for business users without data science background

Target Users: Insurance and financial business analysts and underwriters

Event Engine

Feature store for real-time streaming data processing. Aggregates and analyzes streaming data for real-time decisioning in fraud detection and customer scoring applications.

Key Features

Real-time event aggregation and feature computation
Kafka integration via Scoring.One
Supports fraud detection and customer scoring workflows

Target Users: Data engineering teams requiring real-time ML feature pipelines

Data Quality

Tools for cleaning, enriching, geocoding, and standardizing databases, with particular strength in Polish and international address validation.

Key Features

99% accuracy in geocoding and address standardization
Supports address validation and data enrichment pipelines
Reduces manual verification requirements significantly

Target Users: Insurance operations teams managing policyholder and claims address data

At a Glance

Founded: 2018
Headquarters: Warsaw, Poland
Employees: 11-50
Funding: Series A

Category & Focus

Category: Data & Analytics
Subcategories: Predictive Analytics MLOps AutoML Fraud Detection Claims Automation
Insurance Verticals: P&C Commercial Health Specialty/E&S
Target Customers: Carriers, TPAs