enterprise-data
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The Most Expensive Wait in Software Is for the Data
A toy maker waited days for a database refresh. A bank waited weeks. Delphix built its business around shrinking that interval - while keeping private data out of the wrong hands.
How Oxane Partners Put $1.5 Trillion of Private Credit on One Screen
Private credit grew faster than its plumbing. Oxane Partners built the control room - software, analysts and all - for the documents, covenants and awkward loan data that spreadsheets can no longer contain.
Reltio Solved the Boring Data Problem - Then SAP Bought the Answer
AI agents are only as smart as the customer, product and supplier records beneath them. Reltio spent 15 years cleaning that unglamorous layer - and reached $185 million in ARR before SAP pulled it into the Business Data Cloud.
Allvue Tried to Go Public. Then It Found a Bigger Prize in Private-Market Data
The private-markets software company withdrew a $275 million IPO, stayed private and kept building. Now its advantage may be the data exhaust of 21,000 funds - if it can turn old workflows into trusted AI.
Semarchy Wants to Fix the Boring Data Problem That Breaks Expensive AI
Before an enterprise can ask AI to change the business, somebody has to reconcile the customer called three different things in 14 systems. Semarchy is betting that the unglamorous work of mastering, governing and moving data can become one product - and reach production in weeks, not years.
Dataplor Turned Dirty Maps Into a Global Data Business - Now 370 Million Places Can Answer Back
Geoff Michener began with people checking small businesses in Mexico. A decade later, Dataplor sells global place and foot-traffic intelligence - and its most useful lesson is the pivot from custom fieldwork to a data subscription that gets more valuable every time the real world changes.
Space and Time
A smart contract can execute perfectly and still act on a bad answer. Space and Time is building the database layer that sends the answer with its receipt.
Black Tiger
Black Tiger is a data platform company that helps enterprises turn messy, siloed data into trustworthy business results without lengthy migrations. Its virtual index technology connects directly to existing databases and applications, then applies AI-assisted rules to clean, deduplicate, verify and govern data in real time. Serving customers such as Honda, OVHcloud and Audika across France, Belgium and beyond, Black Tiger pitches fixed-price licensing and 2-to-3-month rollouts as an alternative to slow, usage-priced legacy data platforms.
Promethium
Promethium is a Menlo Park-based enterprise data company that builds an Instant Data Fabric - an agentic platform designed to give business users, analysts, and AI agents trusted, self-service access to data across hundreds of sources without first moving or centralizing it. Its federated query engine, 360 Context Engine, and conversational data-answer agent Mantra translate natural-language questions into governed SQL, metadata, lineage, and visualizations. Founded in 2018 by Kaycee Lai and now led by CEO Prat Moghe, the company has raised about $34.5 million to date, including a $26 million Series A led by Insight Partners.
Synthesized
Synthesized is a London- and New York-based enterprise software company that automates the creation of production-realistic test data. Its AI-driven platform generates, masks, and subsets data from sensitive systems so teams can validate software, database migrations, and AI agents before they reach production - all while preserving privacy and meeting regulations such as GDPR. Founded in 2020 by Cambridge machine-learning PhD Nicolai Baldin, the company counts Deutsche Bank and UBS among its customers and raised a $20M Series A in September 2025.
CLOUDSUFI
CLOUDSUFI is a Silicon Valley data-driven digital transformation company that helps enterprises turn raw, siloed information into decisions - a mission it captures in the phrase 'we make enterprise data dance.' Founded in 2019 and headquartered in San Jose, California, the firm pairs data engineering, advanced analytics, and generative AI with a Google Cloud Premier partnership to modernize data platforms, automate supply chains, and unlock data monetization for customers across manufacturing, retail, financial services, energy, and digital-native industries.
K2view
K2view is an enterprise data company founded in 2009 and headquartered in Yokneam, Israel, with US operations in Texas. Its patented Data Product Platform is built on a proprietary micro-database technology that organizes fragmented enterprise data by business entity - a customer, order, product or loan - so each entity's data lives in its own encrypted, real-time, individually managed database. The approach powers data integration, test data management, data masking, synthetic data generation and, increasingly, AI-ready data pipelines that ground large language models and AI agents. K2view serves large enterprises in telecom, banking, healthcare, insurance and retail, including AT&T, Verizon, Vodafone and BBVA, and has raised roughly $43 million in funding.
Chorology, Inc.
Chorology, Inc. is a San Jose-based data security and compliance startup that uses a Deep-AI 'knowledge encoding' engine - rather than conventional machine learning - to automatically discover, classify, and map an enterprise's sensitive data across structured and unstructured repositories. Its flagship platform, CAPE (Compliance and Posture Enforcer), aims to give organizations a continuous, mandate-agnostic view of where regulated data lives so they can enforce data security posture and meet frameworks like GDPR, CCPA, and HIPAA. Founded by serial cybersecurity entrepreneur Tarique Mustafa, the company emerged from stealth in July 2024 with $9M in funding and a roster of early Fortune 500 users.
Collate
Collate is the company behind OpenMetadata, the fast-growing open source project for unified data discovery, observability, and governance. Founded by Apache open source veterans Suresh Srinivas and Sriharsha Chintalapani, Collate layers AI agents, automation, and enterprise support on top of an open metadata 'context layer' so data teams - and the AI models they feed - can find, understand, trust, and govern their data. The company raised a $10M Series A led by Venrock in July 2025.
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.
MarcoPolo
MarcoPolo is a Santa Clara, California company building governed AI infrastructure that connects agentic AI - Claude, Cursor, ChatGPT, Copilot or any MCP-enabled assistant - to a company's internal data across 50+ systems like Snowflake, PostgreSQL, MongoDB, S3, Salesforce and Jira. Instead of building fragile one-off integrations, teams route through a single secure Model Context Protocol connection with isolated execution, scoped credentials, encrypted secrets and smart context management, so AI can query, correlate and act on enterprise data without leaking it. The product pairs a governed Sandbox, a Cost Plane for token visibility and routing, and a unified Connections CLI. MarcoPolo is the pivot of Immersa, a RevOps data-intelligence startup that raised about $16M from investors including Mayfield's Navin Chaddha.
Switchboard Software
Switchboard Software is a San Francisco-based enterprise data platform built by the team that launched Google BigQuery. It automates the messy work of collecting, transforming, blending and validating high-volume revenue and marketing data, then publishes trustworthy datasets into cloud warehouses like BigQuery and Snowflake. Marketing, revenue and data teams at media and publishing companies use it to stand up analytics and AI projects without waiting on scarce engineering resources.
Expanso
Expanso is a Seattle-based distributed data processing company built on its open-source Bacalhau project. Instead of shipping raw data to a central cloud, Expanso runs lightweight agents that filter, transform, and govern data at its source - across edge devices, on-prem systems, and multiple clouds. The 'Compute Over Data' approach cuts egress and storage costs, keeps sensitive data in place for compliance, and speeds up pipelines feeding analytics and AI. Founded in 2022 by former Google, AWS, and Microsoft engineers, it raised a $7.5M seed round in 2023.
Artie
Artie is a San Francisco-based, fully managed real-time data streaming platform that uses change data capture (CDC) and log-based replication to move production data across databases, warehouses, search systems, and vector stores with sub-minute latency and zero pipeline maintenance. Founded in 2023 by Jacqueline Cheong and Robin Tang and backed by Y Combinator, Artie pitches streaming-first data movement as the default for AI-era systems, replacing brittle batch ETL and self-managed Kafka.
Lightup Data
Lightup Data is a Mountain View-based enterprise data observability company that lets organizations monitor data quality at scale without moving their data. Its no-code platform pushes computation down into existing warehouses and lakehouses like Snowflake and Databricks, using AI-powered anomaly detection to catch data drift, outages, and discrepancies before they reach dashboards or AI models. Founded in 2019 and backed by Andreessen Horowitz, Lightup serves enterprises including AMD, Skechers, and KFC.
Acceldata
Acceldata is an enterprise data observability and agentic data management company that helps large organizations monitor, govern, and optimize the pipelines, warehouses, and lakes powering modern analytics and AI. Founded in 2018 by former Hortonworks engineers, it now serves customers like Oracle, Verisk, PhonePe, and Dun & Bradstreet, and recently launched an Autonomous Data & AI Platform built around its xLake Model Context Protocol for agentic workloads.
Denodo
Denodo is a Palo Alto-headquartered enterprise software company whose flagship Denodo Platform pioneered data virtualization - a way to query data wherever it lives without copying it first. Founded in 1999 by Dr. Angel Vina out of research at Spain's University of A Coruna, the company now serves hundreds of large enterprises and has been named a Leader in Gartner's Magic Quadrant for Data Integration Tools for six consecutive years.
Prophecy
Prophecy is an AI-powered data engineering platform that turns visual workflows into production-grade Spark and SQL code, letting analysts and engineers build, deploy, and govern pipelines together on Databricks, Snowflake, and BigQuery.
Nexla
Nexla is a unified data operations platform that turns fragmented enterprise data into AI-ready data products - called Nexsets - so analysts, engineers, and AI agents can integrate, transform, and govern data without writing code.