python
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Boomi Data Integration: The money is in the handoffs
Rivery built a business around the awkward gaps between data tools. Inside Boomi, its wager is getting bigger: make the entire journey manageable, from the first database change to the last dashboard refresh.
Anaconda made Python easy. Now it sells peace of mind.
The company that helped millions get started with Python found its paying customer in a different room: the enterprise worried about what all that free software might bring through the door.
Beacon found 160 formulas hiding inside a million
Wall Street keeps its cleverest ideas in surprisingly ordinary spreadsheets. Beacon turns that private ingenuity into shared infrastructure - and Clearwater paid to bring the machinery inside.
Posit Gave Away the Data Science Workbench - Then Sold Enterprises the Keys
The company behind RStudio spent years making data science software free. Its business appeared when banks, drugmakers and governments needed that freedom packaged with permissions, audit trails and a dependable place to publish.
Cloudsmith
Cloudsmith is a Belfast-founded, cloud-native artifact management platform that gives engineering teams a single place to store, secure, and distribute software packages and containers across 30+ formats. It acts as a private, fully managed registry with built-in supply chain controls - vulnerability and malware scanning, policy enforcement, quarantine, and global distribution - increasingly positioned around governing the flood of code produced by AI coding agents.
Code Ocean
Code Ocean is a New York-based B2B SaaS platform that makes computational research reproducible, traceable and collaborative. Its flagship Compute Capsule bundles code, data and the exact software environment together so an analysis runs identically today or years from now. Used by pharma, biotech and leading research institutes, and integrated with journals like Nature and IEEE, Code Ocean is building a trusted virtual lab where both scientists and AI agents can run real analyses with full version control, lineage and compliance.
DataCamp
DataCamp is an online learning platform that teaches data and AI skills through short, browser-based interactive exercises. Founded in 2013 and headquartered in New York, it offers 700+ courses in Python, R, SQL, Power BI, Tableau, and generative AI, along with hands-on projects, skill assessments, and industry certifications. The company serves both individual learners and enterprises, having grown to more than 10 million learners and thousands of business customers who use it to close data and AI skills gaps.
Modal
Modal is a serverless cloud platform that lets developers run compute-intensive AI and data workloads - inference, training, fine-tuning, batch jobs, and sandboxed code - without managing infrastructure. Built from scratch in Rust with a custom container runtime, file system, and GPU memory snapshotting, it delivers sub-second cold starts and elastic autoscaling from zero to thousands of GPUs, billed by the second. Founded in 2021 by Erik Bernhardsson and Akshat Bubna, the New York-based company reached roughly $300M in annualized revenue and raised a $355M Series C in 2026 at a $4.65B valuation.
Cogent Labs
Cogent Labs is a full-service software and AI studio that deploys practical, 'boring' AI automation for small and mid-size businesses - the kind that quietly removes repetitive manual work like data entry, status updates, and report generation. Founded by CEO Ehmad Zubair, the team blends web, mobile, and generative-AI engineering (Python, Django, React, React Native) with a fixed-price consulting model that maps a company's operations, prioritizes the highest-ROI automations, and ships production-ready workflows in weeks rather than six-month pilots.
Mage
Mage is a San Francisco Bay Area software company that builds an open-source and enterprise data pipeline platform for integrating, transforming, and orchestrating data. Founded in 2020 by former Airbnb engineer Tommy Dang, Mage offers a notebook-style, developer-friendly alternative to Apache Airflow, letting teams build batch and streaming pipelines in Python, SQL, and R. Its managed Mage Pro tier adds enterprise orchestration, collaboration, and AI-assisted authoring that generates, debugs, and refactors pipeline code from natural language.
Deepnote
Deepnote is a cloud-based, collaborative data notebook that reimagines the Jupyter notebook for teams. Founded in 2019 in San Francisco, it lets data scientists and analysts connect data sources, write Python, SQL and R, and work together in real time - like a Google Docs for data. In recent years it has leaned heavily into AI, adding an agent that can generate, edit and debug entire notebooks, and it went open source in 2025.
Nixtla
Nixtla is a San Francisco time-series intelligence company best known for TimeGPT, one of the first production-ready foundation models built specifically for forecasting and anomaly detection. It started as the open-source Nixtlaverse - libraries like StatsForecast and NeuralForecast with tens of millions of downloads - and now sells an enterprise platform that lets organizations forecast demand, detect anomalies, and support decisions with a few lines of code, on-premises or in the cloud.
CodeHS
CodeHS is a K-12 computer science education platform that gives schools everything they need to teach coding: a browser-based coding environment, a full standards-aligned curriculum spanning elementary through AP, teacher tools for grading and progress tracking, professional development, and industry certifications. Founded in 2012 by two Stanford CS section leaders, Jeremy Keeshin and Zach Galant, it now reaches millions of students and thousands of schools, and in 2025 acquired the K-8 creative coding platform Tynker.
DBOS, Inc.
DBOS, Inc. is a San Francisco- and Cambridge-based developer infrastructure company commercializing durable execution technology born from a joint MIT-Stanford research project led by Postgres creator Michael Stonebraker and Apache Spark creator Matei Zaharia. Its flagship open-source library, DBOS Transact, adds crash-proof workflow orchestration and built-in observability to ordinary Python and TypeScript programs by persisting application state in Postgres, so software resumes exactly where it left off after a failure - without a separate workflow server. The company pairs the library with DBOS Conductor and DBOS Cloud for managing and hosting reliable backends, AI agents, and long-running workflows.
Enki
Enki is a San Francisco-based edtech company building an AI-powered coaching platform that helps professionals and teams learn coding, data, and no-code tools faster. Founded in 2019 by Kirill Makharinsky and Bruno Marnette, Enki pairs on-demand 1:1 AI coaching with structured, role-specific exercises for tools like SQL, Python, Excel, Tableau, Looker, and Power BI. It began as a mobile app that grew to millions of users and 20,000+ five-star reviews, then pivoted toward enterprise upskilling, offering companies a way to raise data literacy and tool adoption across their workforce.
marimo
marimo is a San Francisco company building an open-source reactive Python notebook that replaces the error-prone JSON of Jupyter with pure Python files. Cells form a dataflow graph, so changing one variable automatically re-runs the cells that depend on it - notebooks are reproducible, git-friendly, deployable as apps, executable as scripts, and can even run entirely in the browser via WebAssembly. Founded in 2022 by Akshay Agrawal and Myles Scolnick, marimo raised a $5M seed in 2024 and joined CoreWeave in October 2025 while keeping the notebook free and permissively licensed.
Reflex
Reflex is an open-source, full-stack Python framework and cloud platform that lets developers build and deploy production-grade web apps entirely in Python - no JavaScript required. Founded by ex-Apple and Ancestry engineers Nikhil Rao and Alek Petuskey, the company (originally Pynecone, a Y Combinator W23 startup) wraps React components in Python so data scientists, analysts, and engineers can ship UI, backend, and deployment from a single codebase. It has grown to over a million apps built, 25k+ GitHub stars, and adoption inside Fortune 500 companies.
Tryolabs
Tryolabs is a Montevideo-born AI and machine learning consultancy that builds custom data and AI solutions for companies worldwide. Founded in 2009, it pairs deep engineering with applied research across computer vision, NLP, generative AI and MLOps, and is known for open-source tools like Norfair and Luminoth. Its clients range from MercadoLibre and LATAM Airlines to Halliburton, Allianz and UNICEF, spanning retail, insurance, manufacturing, telecom, oil and gas and transportation.
Coiled
Coiled is a lightweight cloud compute platform that lets Python users scale data science, machine learning, and AI workloads from a laptop to thousands of cloud machines without Docker or Kubernetes. Founded in 2020 by Matthew Rocklin, the creator of the open-source Dask library, Coiled runs inside a customer's own AWS, GCP, or Azure account, handling provisioning, autoscaling, environment replication, and cost visibility so data teams can run Dask clusters, serverless functions, and batch jobs with minimal friction.
JITX
JITX is a Berkeley- and San Jose-based software company building a code-driven, AI-assisted platform for circuit board design. Instead of dragging parts around a canvas by hand, electrical engineers describe what a board must do in code, and JITX selects components, places parts, routes traces, and checks the design against electrical, mechanical, and manufacturing rules. Spun out of UC Berkeley and backed by Y Combinator and Sequoia Capital, the company is used by hardware teams at firms like Honeywell Aerospace, Lockheed Martin, Northrop Grumman, OpenAI, and HP, who report 5-20x productivity gains on complex multi-layer designs.
Anyscale
Anyscale is the company behind Ray, the open-source distributed computing framework used to train and serve some of the world's largest AI systems. Founded by the creators of Ray at UC Berkeley's RISELab, Anyscale provides a managed compute platform that lets enterprises scale Python and AI workloads across any cloud, with the performance of bare metal and the ergonomics of a notebook.
Panther
Panther is a cloud-native SIEM and AI SOC platform that helps modern security teams detect, investigate, and respond to threats at cloud scale using Python-based detection-as-code and a serverless security data lake.
Rasa
Rasa is the open-source-rooted conversational AI platform enterprises use to build, deploy and govern generative AI assistants. Its CALM approach (Conversational AI with Language Models) pairs LLM flexibility with the determinism regulated industries demand - powering assistants for some of the world's largest banks, telecoms and travel brands.
LangChain
LangChain is the agent engineering company. It builds the open-source frameworks (LangChain, LangGraph) and the commercial platform (LangSmith, LangGraph Platform) that developers use to design, deploy, evaluate and observe LLM-powered applications and autonomous agents in production.
LlamaIndex
LlamaIndex is a San Francisco company building the data framework and cloud platform that lets enterprises turn messy unstructured documents into knowledge agents powered by large language models. Its open-source library is one of the most-used scaffolds for retrieval-augmented generation, and its hosted product, LlamaCloud, packages parsing, extraction, and indexing for production teams.
Zelos Cloud
Zelos Cloud is a San Francisco-based B2B data platform for mission-critical systems, founded in 2023 by three former Tesla and Neuralink engineers. The platform unifies data collection, remote command-and-control, real-time visualization, and automated testing for firmware and industrial systems - solving the tooling chaos that plagues teams building hardware that cannot afford to fail. Backed by Y Combinator (S23) and Human Capital, Zelos Cloud is building the operating layer that firmware and embedded systems engineers have always needed but never had.