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LSports Tech Stack

Real-time sports betting data platform with ML-driven threat detection

IT Services and IT Consulting Ashkelon 201–500 employees Founded 2012 Privately Held

LSports operates a real-time sports data pipeline serving sportsbooks globally, built on Python, PyTorch, Kafka, and GCP infrastructure. The stack reveals an ML-heavy engineering organization: scikit-learn, PyTorch, and RAG-based systems sit alongside rate-limiting and bot-detection layers, while active projects span customer-facing ML solutions and high-scale Kubernetes orchestration. Hiring is engineering-focused (8 of 11 open roles) at senior and lead levels, with concurrent investment in establishing an L&D function from scratch—signaling rapid scaling paired with internal retention challenges.

Tech Stack 25 technologies

Core StackPython PyTorch scikit-learn Databricks Kafka Kubernetes RAG C# Docker RabbitMQ ClickHouse MySQL Redis Cursor Cloudflare Datadog SQL MLOps LangGraph LlamaIndex NET Core GCP Claude DataDome PerimeterX

What LSports Is Building

◆Challenges

Protecting from automated threats
Mitigating malicious bot activity
Scaling high-scale infrastructure
Handling high-throughput data platforms
Integrating ai into devops
Reducing false positives
Employee retention
Internal mobility
Establishing l&d function from scratch
Improving onboarding experience

▲Active Projects

Rate limiting and ip reputation system
Onboarding revamp
Advanced bot detection system
Traffic analysis tool
Real-time data pipeline
Customer facing machine learning solutions
High-scale infrastructure design on gcp
Kubernetes cluster lifecycle management
Ai-augmented devops workflow integration
Customer-facing ml algorithm development

Hiring Activity

Accelerating10 roles · 7 in 30d

Department

Engineering

8

HR

2

Product

1

Seniority

Senior

6

Mid

3

Lead

2

Notable leadership hires: Learning & Development Lead

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About LSports

LSports provides real-time sports data and API infrastructure for sportsbook operators and iGaming platforms worldwide. The company was founded in 2012 and is headquartered in Ashkelon, Israel, with 201–500 employees. Their core product surfaces live sports events, odds, and derived analytics through a managed API, powered by data pipelines that ingest, process, and enrich massive volumes of betting-adjacent data. Beyond raw data, LSports has built machine-learning capabilities for bot detection, traffic analysis, and customer-facing ML algorithm delivery—core to defending sportsbooks against automated fraud and managing platform reliability at scale.

HeadquartersAshkelon

Company Size201–500 employees

Founded2012

Hiring MarketsIsrael

Frequently Asked Questions

What tech stack does LSports use?

LSports runs Python, PyTorch, scikit-learn, Kafka, Databricks, and Kubernetes on GCP. Data storage spans ClickHouse, MySQL, and Redis. Security and DDoS mitigation use Cloudflare, DataDome, and PerimeterX. Observability is handled by Datadog.

What is LSports working on?

Active projects include a rate-limiting and IP reputation system, advanced bot detection, real-time data pipelines, customer-facing ML solutions, high-scale GCP infrastructure design, and Kubernetes cluster lifecycle management. AI-augmented DevOps workflows are also under development.