Poolside Tech Stack

Enterprise AI agents built on proprietary foundation models and petabyte-scale data infrastructure

Software Development San Francisco, California 51–200 employees Founded 2023 Privately Held

Poolside builds foundation models and software agents for enterprise deployment. The tech stack—PyTorch, JAX, vLLM, NVIDIA, Kubernetes, Kafka—reflects a company running production ML infrastructure at scale. Active projects span model training pipelines, synthetic data generation, and petabyte-scale data ingestion; pain points cluster around deduplication, web crawl recall, and high-throughput token processing, indicating the company is solving infrastructure constraints that emerge when scaling both data and inference workloads in-house.

Tech Stack 30 technologies

Core StackTerraform Kubernetes AWS Ansible ArgoCD Python PyTorch NumPy Grafana Prometheus Datadog Go C++ Apache Spark Kafka Cython C/C++ Jax Transformers vLLM NVIDIA Triton CUDA NCCL CMMS BMS SCADA GCP Azure

What Poolside Is Building

◆Challenges

Scaling petabyte-scale data ingestion
High-performance token pipelines
Deduplication of raw web crawls
Scaling web crawling infrastructure
Maximizing recall from high-value sources
Accelerating software development
Scaling secure agent runtime
High-throughput low-latency data pipelines
Extreme scale daily events
Large-scale data processing

▲Active Projects

Model factory pipeline
Synthetic dataset generation for pretraining
Data ingestion and deduplication system
Streaming system for petabyte-scale data
Observability and monitoring tooling
Deep crawler for high-value sources
Large-scale web crawler
Data pipeline for agentic use cases
Scalable self-serve evaluation platform
Distributed evaluation pipeline

Hiring Activity

Accelerating20 roles · 20 in 30d

Department

Engineering

Data

Product

Research

Support

Seniority

Mid

Senior

Lead

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About Poolside

Poolside, founded in 2023, develops foundation models and agentic software for enterprise customers. The company operates from San Francisco with 51–200 employees across engineering, data, product, research, and support. Core infrastructure includes a model factory pipeline, synthetic pretraining datasets, large-scale web crawlers, and distributed evaluation systems. The tech footprint spans Python, PyTorch, Kubernetes, AWS, GCP, and Azure, with heavy use of NVIDIA GPUs and streaming systems (Kafka, Spark) to handle data at petabyte scale. The engineering and data hiring velocity is accelerating, with 19 open roles weighted toward mid- and senior-level positions across US, UK, and Indonesia.

HeadquartersSan Francisco, California

Company Size51–200 employees

Founded2023

Hiring MarketsIndonesia, United States, United Kingdom

Frequently Asked Questions

What tech stack does Poolside use?

Core stack: PyTorch, JAX, Python, Kubernetes, AWS, NVIDIA, Kafka, Spark, Triton, vLLM. Observability via Grafana, Prometheus, Datadog. Infrastructure-as-code via Terraform, Ansible, ArgoCD.

What is Poolside working on?

Model factory pipelines, synthetic dataset generation, petabyte-scale data ingestion, web crawling infrastructure, agentic runtime systems, and distributed evaluation platforms for enterprise AI agents.

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How this profile is built

Poolside's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.