data-pipeline
(12)
The Startup That Bet Data Movement Should Cost a Flat Fee
A 13-person shop in suburban Philadelphia is going after the plumbing nobody sees - the pipelines that move enterprise data - by making it workflow-driven, auditable, and priced like a utility instead of a taxi meter.
DataBahn
DataBahn is an AI-powered, security-native data pipeline and fabric platform that helps enterprises collect, enrich, orchestrate and optimize telemetry across security, observability, application and IoT/OT systems. Its agentic products - Cruz, Reef and Phantom agents - automate data engineering work, cut noise and reduce SIEM/telemetry costs by more than 50% while preserving visibility for security and IT teams.
Tracer
Tracer is a New York-based collaborative data intelligence platform that aggregates, normalizes, and enriches data from any source - ad platforms, sales systems, commerce, and finance - into a governed, unified layer that non-technical teams can query in real time. Incubated inside VaynerMedia starting in 2015 and spun out as an independent company in 2021, Tracer positions itself as 'the intelligence layer for AI-driven enterprises,' serving more than 200 customers including Sanofi, Papa Johns, Conde Nast, and Headspace. The company has raised roughly $30M-$58M across rounds, including an oversubscribed $18.1M Series A in August 2023.
Auguria, Inc.
Auguria is a cybersecurity AI company that builds the Security Knowledge Layer (SKL), a vector-based platform that ingests the flood of logs, events, and telemetry that security teams collect, then denoises, classifies, and prioritizes it - filtering out roughly 99% of the noise so analysts can focus on the ~1% of events that actually matter. Founded in 2022 by Keith Palumbo and Chris Coulter and emerged from stealth in March 2024 with $6.5M in seed funding from SYN Ventures and SentinelOne's S Ventures, Auguria plugs into existing SIEM and data-lake infrastructure to cut security data costs and surface threats others miss.
Polytomic
Polytomic is a San Francisco data-movement company that unifies ETL, Reverse ETL, and CDC streaming in a single platform, letting teams keep data warehouses, databases, and SaaS tools in sync without maintaining brittle one-off pipelines. Founded in 2019 by former PlanGrid engineers Ghalib Suleiman and Nathan Yergler and backed by Y Combinator, it pairs a no-code interface for business teams with SQL, monitoring, and infrastructure-as-code controls for data engineers.
Pulse
Pulse is a San Francisco AI company building production-grade document extraction for enterprises. Its vision-language models and OCR pipeline turn messy PDFs, scans, and spreadsheets into clean, structured, LLM-ready data - powering RAG, automation, and analytics across finance, healthcare, insurance, legal, and supply chain.
Mozart Data
Mozart Data is a San Francisco-based startup that gives companies an out-of-the-box modern data stack - a managed Snowflake warehouse, no-code ETL connectors, a SQL transformation layer, and built-in observability - so non-engineers can go from siloed, messy data to analysis-ready in about an hour. Founded in 2020 by Peter Fishman and Dan Silberman and backed by Y Combinator, it lets startups and SMBs skip the months of plumbing usually needed to stand up data infrastructure.
Cribl
Cribl is a vendor-agnostic data engine for IT and security teams that routes, shapes, reduces, and enriches observability and security telemetry between any source and any destination - letting enterprises escape vendor lock-in and tame runaway data costs.
Hevo Data
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.
Unstructured
Unstructured is a San Francisco company building the data layer for generative AI. Its open-source library and enterprise platform ingest PDFs, slide decks, emails, images and 70+ other file types, then transform them into clean, structured data that LLMs and RAG pipelines can actually use.
DatologyAI
DatologyAI builds an automated data curation platform that helps companies train better AI models faster, smaller, and cheaper. Founded in 2023 by former Meta AI, DeepMind and MosaicML researchers, the Redwood City startup has raised $57.6M to industrialize the messy art of preparing petabyte-scale training data.
Improvado
Improvado is an AI-powered marketing analytics and intelligence platform built for enterprises and agencies. Founded in 2015, it connects 1,000+ data sources - from Google Ads and Meta to Salesforce and Shopify - and pipes everything into a unified data layer that feeds an AI agent capable of generating dashboards, monitoring data quality, running A/B tests, and delivering cross-channel marketing insights in natural language. The platform covers the full analytics stack: ETL/ELT pipelines, data governance, AI-native BI dashboards, and agentic execution - all in one environment. Backed by $34M in funding from Updata Partners, Bullpen Capital, and Nexus Venture Partners, Improvado serves Fortune 500 companies and global agencies including ASUS, Eicoff, and Booyah Advertising.