Okera sold a deceptively simple idea: write the rule for sensitive data once, then make it follow the data everywhere. Databricks bought the company in 2023, just as AI made the old permission problem larger and stranger.
Every order, cancellation and execution leaves a trail. BMLL turns that unruly exchange exhaust into research-ready history, so expensive quantitative talent can investigate markets instead of repairing files.
Domo spent 16 years turning scattered corporate data into dashboards, apps, workflows, and AI agents. Its next chapter is a $400 million sale to Progress - a useful lesson in both the power and the economics of becoming a company’s data operating layer.
The Boston software company spent a decade making old-school BI behave on new-school data. Its next customer is an AI agent - and the same boring layer may be what keeps the answers useful.
A paid marketing tool died when COVID froze its buyers. What survived was the expensive, brittle connector code underneath - and a repeatable playbook for turning customers' least-loved engineering work into a platform.
The company that made corporate data searchable is betting that the next dashboard will behave less like a report and more like a careful analyst - one that shows its work.
Sigmoid is an AI-first data solutions company that helps large enterprises turn complex data into measurable business value. Founded in 2013 by three IIT Kharagpur batchmates, the firm pairs deep data engineering with data science, MLOps, generative AI and agentic AI to build and operate the pipelines, models and analytics that Fortune 500 companies in CPG, retail, financial services and life sciences rely on for faster, data-driven decisions.
Striim is a Palo Alto-based enterprise software company that builds a unified real-time data streaming and integration platform. Founded in 2012 by the team behind GoldenGate Software, Striim uses change data capture (CDC) to continuously ingest, process, and deliver high volumes of data with sub-second latency from databases, logs, and applications into cloud warehouses like Snowflake, Databricks, BigQuery, and Microsoft Fabric. Its platform powers real-time analytics, cloud migration, and AI-ready data pipelines for enterprises including UPS, American Airlines, Macy's, and Morrisons.
Hevo Data is a San Francisco-based SaaS company that builds no-code, automated data pipeline infrastructure for modern data teams. Founded in 2017 by Manish Jethani and Sourabh Agarwal, the platform connects 150+ data sources to warehouses like Snowflake, BigQuery, and Redshift in real time - with zero maintenance overhead. Backed by Sequoia Capital India with $43M in total funding, Hevo serves 2,000+ data teams across 40+ countries, processing over 1 petabyte of data monthly. The company had $46.9M ARR in 2024 and is recognized as a G2 Leader in ETL and iPaaS categories.