Ludis Analytics

Ludis Analytics Inc. develops an end-to-end data science and analytics platform intended to cover the full workflow from data ingestion to insight consumption in a single environment. Core product areas are Datasets (upload, access and management of data from multiple sources in one secure location), Workflows (automated data-preparation and ingestion pipelines plus pre-cleaned datasets), Projects (developing algorithms, building applications, publishing reports and deploying data science models via an inline code editor), and Insights (published reports and interactive dashboards that teams and third-party partners can review, comment on and share).

The platform is packaged into tiers aimed at different skill levels — Explorer (uncovering insights from existing data), Targeter (visualizing data without coding), Publisher (building custom apps, aimed at BI analysts working in Python/R), and Automator (full data management and analysis) — spanning Excel users, managers/marketers, BI analysts and data scientists. Stated capabilities include running existing R or Python scripts synced from GitHub, managed deployment and hosting, encryption, secret keys and access control, admin management of users and permissions, per-usage rather than per-seat pricing, and turn-key professional services where the customer owns the delivered work. A newer AI-oriented capability is positioned around turning AI-generated code into published interactive applications and automated ETL pipelines.

Earlier press describes the platform as sports-first: a single collaborative environment for all data science functions, with access to reliable data sources and commonly needed analyses and algorithms feeding out-of-the-box applications and visualizations, so that coaches, analysts and management can work from the same data. [0][1][2][3]

Founding story

CEO Vala Dormiani co-founded Ludis Analytics in 2019, motivated by an interest in sport and experience building data science solutions for specialist industries. The founding team combined backgrounds in predictive athlete performance, big-data analytics and scalable SaaS platforms to build an end-to-end data science platform. [2][3]

Business model

Software platform sold to organizations, with pricing described as transparent and based on usage needs rather than the number of users, complemented by turn-key professional services in which the customer retains ownership of delivered work. [0][1]

Platform plans/subscriptions plus optional services engagements; the company states there are no hidden fees and that customers pay for what they need rather than per user. [0][1]

Traction

Deployed in organizations across Australia, New Zealand, Japan and the United States, covering five distinct sports according to the company. Prior to its 2021 funding the company reported partnerships with basketball, rugby, cricket, AFL and netball teams in Australia, Japan and the US. Publicly cited users include Cricket New South Wales and a Stanford basketball coach. [2][3]

Latest developments

The company markets an AI capability for turning AI-generated code into published interactive applications and automated ETL pipelines, and published a comparison of scheduling and orchestration approaches ("Cron vs Airflow vs Ludis") in September 2025. It also lists open roles for fully remote positions. [0][1][2]