Data Engineering Startups funded by Y Combinator (YC) 2026

Fivetran automates data movement out of, into and across cloud data platforms. We automate the most time-consuming parts of the ELT process from extracts to schema drift handling to transformations, so data engineers can focus on higher-impact projects with total pipeline peace of mind. With 99.9% uptime and self-healing pipelines, Fivetran enables hundreds of leading brands across the globe, including Autodesk, Conagra Brands, JetBlue, Lionsgate, Morgan Stanley, and Ziff Davis, to accelerate data-driven decisions and drive business growth. Fivetran is headquartered in Oakland, California, with offices around the world. 

Clone any postgres DB regardless of size in 6s so agents can test their work

Haladir is the operational AI layer for logistics. We unify and structure data across WMS, TMS, OMS, etc., and embed solver-grade optimization, ML models, RL environments for frontier AI labs, and forecasting into the decisions that power supply chains. Today's AI brought intelligence. The next frontier is judgement. We define operational superintelligence as AI that consistently makes maximally-optimal operational decisions in complex environments. The first component is speed: continuous decisions that take operations managers and OR analysts weeks to make, in seconds. The second is reliability: every decision is guaranteed to satisfy operational constraints. The third is scope: optimize across thousands of constraints no human or team could possibly reason about.

Velum is the operating system for data quality. Velum automatically monitors and enforces data quality across a company's data stack, so bad data never reaches dashboards. We turn data quality from a manual task into infrastructure that runs itself. Data trust you can prove. From the pipeline to the boardroom.

Captain delivers the most accurate file search engine built for AI agents. We’ll index data from the sources folks already use like S3, SharePoint, and Google Drive, and easily scale multimodal, petabyte-level content search. We’re the Snowflake for Unstructured Data. Captain tops the Open-RAG-Benchmark with over 20% higher accuracy than standard RAG pipelines. We achieve this through robust data processing techniques like embedding normalization across modalities, ensuring that representations cluster by semantic content rather than data type.

Hyperspell is the Memory & Context Layer for AI Agents. AI agents are clueless geniuses. They crush humans on any standardized test, but wouldn't last a day at a real job. What today's super-intelligent agents are missing is the real world context they are operating in. A context that humans stitch together from hundreds of data points across dozens of interactions and channels. A context that grows with their tasks. Hyperspell gives AI agents this context by connecting to their user’s workspace data and building a personalized memory and context layer.

DeepAware (Silicon Valley Robotics Center roboticscenter.ai) is the fastest way for enterprises and researchers to get robots and robotics parts in the US — 72-hour delivery or Bay Area pickup. Beyond hardware, we help teams collect teleoperation data, build reinforcement learning environments, and deploy robots into production. Customers include AI labs, industrial operations, research teams, and event producers.

sieve solves data cleaning for hedge funds and investment firms by letting them get clean data in four lines of code. Currently, their data pipelines have conditions that raise for human review, which literally send an email to engineers with data that needs to be reviewed. We provide an API that integrates directly into their existing pipeline - instead of raising for human review, they can send all the same information to our API and get clean, high-quality data back. By using our AI agents built specifically for financial data collection, along with expert-in-the-loop review, we provide our clients with clean, validated data at a scale and level of quality that wasn't achievable before.

We capture and structure real factory workflows at scale by combining first-person industrial video with SOP-level process knowledge. This enables robotics and AI labs to train on real production data, not just controlled lab environments.

Nitrode builds high-quality game data to train and evaluate LLMs and agents on spatial and temporal reasoning. Today’s models are trained on static text and images, but struggle to understand how the world evolves over time. We create small, fully specified game environments that generate ground-truth data on state, transitions, and hidden dynamics. This enables AI systems to move beyond simple pattern matching, incorporating memory, causality, and multi-step reasoning to create more reliable agents in dynamic environments.

Sherpa Labs is building an agentic data team that automates modeling, operations, and discovery via a swarm of agents. Their initial product is a data catalog that enables developers and AI agents to quickly locate the right data sources, effortlessly trace data lineage, and understand messy data lakes — similar to Glean but for enterprise data systems.

Kilvin is an AI-native agency that builds custom software solutions for non-technical teams. With AI, the future of software is democratized. Every team deserves tools built exactly for them, not off-the-shelf SaaS products they need to adapt to. Kilvin makes it a reality, delivering a private, secure workspace of custom applications, built around your workflows and ready in days, not months. No engineers needed on your side. Just software that fits exactly how you work.

Melder is an Excel add-in that brings AI functions and document support into your spreadsheets. Upload files directly into cells, use smart formulas like =GEN, and build automations—all without leaving Excel. Core features: - File-to-Sheet: Drop PDFs directly into cells, then reference them in formulas. - AI-Powered Functions: Write formulas like =GEN() or =EXTRACT() to summarize, classify, and analyze content. - Chat Assistant: Use our AI assistant to help build your sheets or answer questions from your data, live in the workbook. Business users use Melder to: - Accelerate diligence by extracting insights from data rooms - Review contracts by identifying key terms and clauses instantly - Run market research by pulling information from competitor websites - Synthesize transcripts by generating summaries from interviews and calls Melder brings the power of structured spreadsheet logic to the messy, unstructured data world—no coding needed.

Sensei helps robotics companies scale and outsource their training data collection. Our hardware platform enables the collection of human-demonstration data at a tenth of the cost and twice the speed of current teleop approaches. Our software platform acts like Scale AI for robotics data: a large network of paid human operators use our low-cost collection platform to fulfill data-generation requests.

Overstand is a data lab that allows our customers to navigate any set of data in just a few minutes. *Enterprise*: For enterprises, we we unify Slack, email, calls, and operational data, then surface the signals that matter — customer needs, risks, and revenue opportunities hidden in everyday conversations. *Legal Firms*: For legal firms, we help them really quickly understand their entire discovery corpus (either before, or after document review), and quickly build out an initial case assessment and facts. Instead of waiting on reports or manual analysis, teams get immediate, evidence-backed answers from the data they already have. Overstand delivers clarity and leverage as your business scales.

Sharpe helps traders go from idea to profit in minutes with AI, bundling petabytes of market data with high-performance infrastructure. Sharpe helped a top 5 quant firm find $10m+ of profit within a few hours of deployment.

Mica's AI agents replace the data ops teams fixing bad data. When bad or missing data breaks the pipeline, and orchestration, retries, and monitoring fail, painful manual review work kicks in, pulling humans in to investigate and patch data issues across systems. Mica does what those humans do: gathering the right information from internal docs and external systems, reasoning across context, and resolving errors autonomously to get the pipeline moving again. The result: dramatically reduce time, cost, and operational drag as your data pipelines scale without scaling ops headcount. Mica turns judgment-heavy data fixes from a manual bottleneck into an automated background process with full auditability.

Trellis helps healthcare providers treat more patients, faster—while eliminating pre-service paperwork. We automate document intake, prior authorizations, and appeals at scale to streamline operations and accelerate care. Our AI agent is trained on millions of clinical data points and converts messy, unstructured documents into clean, structured data directly in your EHR. With Trellis, leading healthcare providers and pharmaceutical companies were able to: 1. Reduce time to treatment by over 90% 2. Improve prior authorization approval and reimbursement rates 3. Leverage structured data to enhance drug program performance and clinical decision-making Administrative costs account for over 20% of U.S. healthcare spending—delaying care, draining revenue, and driving staff burnout while having less visibility into patient care than ever before. We built Trellis to tackle this head on.

1. You explain your problem. 2. Kater identifies the most important data questions to ask. 3. Kater writes the code. 4. You get insights in seconds rather than weeks. Kater.ai flips the script on enterprise analytics by making every user an expert analyst. It uses a continuous classification engine to turn a single business question into a contextualized package of questions that is specific to your needs. Kater puts the power of data into the hands of business experts while ensuring they use trusted data that is specific to their persona. No more waiting for data analysts. No more wasted time on analysis misfires and rework. Yvonne was a data engineer and analyst who built the entire data stack at CREXi. Robin led engineering in Microsoft. Data is the new oil. Companies are data-rich, insight-poor. We're helping companies become insight-rich. This is the future of data.

Ocular AI is the data annotation engine for Generative AI, Computer Vision, and Enterprise AI models. We help you transform unstructured, multi-modal data into golden datasets to power generative AI, frontier models, and computer vision. Ocular Foundry is the most intuitive, data-centric, and fastest platform that lets you label, annotate, version, and deploy your data for training models. It also orchestrates your annotation jobs, improving collaboration with members and annotators. With Ocular Bolt, shift from humans in the loop to experts in the loop to supercharge your data labeling and annotation projects. Our global expert workforce ensures fast, accurate results—no matter the scale or complexity of your data. Companies spend huge amounts on training data, but Foundry and Bolt are AI-native tools that lower costs, reduce manual effort, and accelerate high-quality data collection. We’re replacing outdated, clunky, and expensive data software!

Reducto offers robust and reliable document ingestion for any workflow. Our API allows you to convert complex, unstructured documents into structured outputs that are perfect for RAG, process automation, and more.

DataShare is a data-as-a-service platform that lets you embed charts, dashboards and exports directly into your product. For example, if you run an accounting startup, DataShare would enable you to embed a full profit and loss dashboard, with downloadable statements. DataShare is backed by an enterprise-grade data warehouse, and can be implemented in fewer than 20 lines of code.

Track and control emissions, energy, water, gas, and more—across all sites and countries, from a single place. Cedalio automates utility bill processing, detects anomalies, and centralizes your data into one source of truth. Save hours of manual work, make faster decisions, and enhance your sustainability efforts.​

Artie is software that streams data from databases to data warehouses in real-time. Today, most companies run their ETL process every few hours or overnight, so their data warehouse is always out of date; with Artie, the warehouse always has live production data.

Ohm is transforming how physical products are developed, using AI. We support major tech enterprises across batteries, automotive and consumer electronics to reimagine how they develop, test and validate their products. Ohm is used by leading engineering teams to launch new hardware products faster, optimize engineer productivity and reduce the cost of engineering test programs.

TableFlow builds AI teammates for data tasks, helping operations and data teams automate the messy, manual tasks buried in PDFs, spreadsheets, images, and emails.

The way people use data is constantly changing. Data teams must support every new context without breaking the shared truth. Honeydew’s semantic layer does it automatically. We validate each change and update every data flow. Using Honeydew, data teams can support 10x more data users - without more engineers or compromising integrity.

Sunpia lets developers easily experience the cost and speed benefits of serverless infrastructure, without having to rewrite their code. Developers annotate their code and Sunpia automatically designs a microservice version of it they can deploy on their own cloud.

Findly.ai is the co-pilot for Business Intelligence that revolutionizes how businesses understand and interact with their data. By creating an engaging chat environment, it empowers decision-makers to gain insights, request reports, and generate visualizations based on their company's metrics. This seamless interaction is made possible by integrating a metric layer that comprehends all your company's metrics. The chat-based exploration simplifies complex data analysis, allowing users to generate comprehensive summaries with a single click, which can be exported to various formats. Furthermore, with the introduction of scheduled chats and action-triggered automations, Findly.ai enhances the autonomy and efficiency of decision-makers. It's more than a tool; it's a decision-making operational system aiming to facilitate decision-makers in achieving their KPIs while spending less time waiting for data.

MovingLake is Fivetran for event-driven architectures. Companies such as Casai use our product to obtain orders and price changes in real time.

Query, trace, and validate datasets and models at scale. Automate context for agents and humans. One API: lakehouse, lineage, feature store, ontologies, bio-registries & formats.

Sanifu automates the repetitive work spreadsheets are used for. Teams across finance, marketing, operations, and revenue simply describe their repetitive work like cleaning and validating data, matching records, preparing reports and moving data from emails, PDFs and Excel exports into dashboards and other systems. Sanifu captures the steps, rules and outputs so the work is repeated reliably every time Some of these work never needed spreadsheets to begin with; the likes of data cleanup, bank reconciliations, report consolidation, payment allocations, channel attributions. Spreadsheets have become the standard workbench for handling these tasks and in the process, teams lose valuable time doing manual data entry, filling templates, formatting data, applying formulas, deleting rows or columns. Sanifu is replacing the spreadsheet while maintaining the logic and processes behind the work, getting you from inputs to your desired outputs in seconds. This significantly reduces time spent on copy-paste work, spreadsheet cleanup, and manual entries and checking, while improving accuracy, consistency, and operational visibility. Sanifu helps teams scale critical back-office processes without relying on brittle spreadsheets, scripts, or general AI tools that reinvent the logic every run. Sanifu is a full operational platform with 5k+ app integrations, 1k+ native functions, forms, scheduler, data stores, dashboards, approvals, reviews, AI-powered entity matching among many other features that make it an end-to-end data app management platform

LanceDB is a new open-source vector database that can support low-latency billion-scale vector search on a single node. Built around a new columnar data format, LanceDB makes it incredibly easy to build applications for generative AI, recsys, search engines, content moderation, and more.

Elementary enables data teams to detect problems in their data before their users do. An open-source solution that any data engineer can deploy in minutes without sharing sensitive data.

End-to-end privacy, security, and compliance solutions to prepare your organization for emerging AI regulations.

Sieve is the only AI research lab exclusively focused on video data. Video already makes up 80% of internet traffic and has become the dominant medium driving creativity, communication, gaming, AR/VR, and robotics. Unlocking the ability to truly model video is the key to breakthroughs across all of these domains but progress has been bottlenecked by one thing: high-quality training data. That’s where Sieve comes in. We bring together exabyte-scale video infrastructure, novel video understanding techniques, and dozens of diverse data sources to create datasets that push the frontier of video modeling. This unique combination allows us to deliver data with unmatched precision, quality, and speed which has earned the trust of frontier AI labs, Fortune 100 companies, and fast-growing generative AI startups.

Auto parts retailers get product data from hundreds of manufacturers that is inaccurate and inconsistent, often with big gaps in key values. They currently have a team of "catalog managers" who are required to process and enhance this data line by line, resulting in a week to months long lag between receiving product data and actually being able to start generating revenue from those products. Versable leverages AI to scan the web for tens of millions of auto parts listings, and uses a fine-tuned LLM with RAG to instantly process, enhance, and transform data. With just a part number, Versable is able to generate market-ready titles, product descriptions, and specs, in any format that's needed.

Trackingplan automatically discovers and monitors all the information your applications and websites are collecting, ensuring that you can trust your BI, analytics, marketing, and sales tools. You can think of us as Segment Protocols but totally transparent, where developers can keep using Google Analytics, Amplitude, Hubspot, Intercom, Braze, etc. as they are used to. Installed in minutes in using your Tag Manager or adding just one line of code to your web or apps, we model all the data being sent to third parties. Since Trackingplan understands what each piece of data means, it identifies patterns, detects anomalies, and automatically connects the dots to create value from data that was hidden in plain sight: - An always up-to-date single source of truth and data governance tool. To discover, understand and document your data and improve communication across teams. - Automated notifications when something breaks or changes. To make sure that integrations are always well implemented: Schema errors, traffic anomalies, rogue events... - Easy to understand, customizable, cross-service alerts. To detect trends, insights, and problems without using complex, engineer-oriented solutions.

Our app manages Argo Workflows for data teams, enabling complex data & CI pipelines in half the time while saving companies hundreds of thousands of dollars annually. We maintain Argo Workflows, an open-source pipeline framework for Kubernetes that’s used in production by Bloomberg, Intuit, Adobe, New Relic, NVIDIA, and many other open-source early adopters.

Evidence is an open source, code-based alternative to drag-and-drop BI tools. Build polished data products with just SQL and markdown.

Whaly helps data teams save time on maintenance and analysis building while making business users more autonomous on the analysis they want to improve their decision making. We do this by providing a self service data platform where both data and business teams can work together. We understood that most data teams were ending up being a bottleneck for the rest of the company and needed to give more autonomy to business teams to back their decisions with data. Emilien, Florian and Pierre were the minds behind the Data advertising platforms of the major media and e-commerce companies in France in their earlier position as Product Manager and head of Customer Success, giving them an edge on how to execute successfully a data project.

Whalesync makes data syncing easy. Our automation platform syncs data between key business tools like Webflow/Wix/WordPress and Airtable/Notion/Google Sheets. We give marketing teams two-way, real-time sync, so they can manage their website from their favorite collaboration tools. Whalesync launched during Y Combinator’s S21 cohort. Since then we’ve raised from some of the world’s top investors. We’re now trusted by hundreds of companies like [Ramp](https://ramp.com/), [Webflow](https://webflow.com/), and [Alchemy](https://www.alchemy.com/), and process millions of transactions every day. Many of our customers enjoy the product so much they [tell all their friends](https://whalesync.com/customers).

We build the tools companies need to provide performant and scalable authorization for their applications. We’re founded by 3 successful entrepreneurs with expertise in enterprise software, most recently as leaders at Red Hat. Jake and Joey met on the APIs team at Google in 2010. They went on to found Quay, where Jimmy joined as their first hire. Over the past decade, they’ve changed the landscape for building and deploying software.

On the surface, Clear is a free mobile app where consumers track routines, products and selfies, get brand-agnostic recommendations, and learn from others in the community. Underneath, we’re building a vertically focused AI/data platform that helps consumers, clinicians, and brands understand what actually works, for whom, and why. The skincare industry is worth over $200B globally, yet it still runs largely on guesswork: consumers waste money on trial-and-error, brands lack real-world evidence, and dermatologists have limited visibility into day-to-day product use and outcomes. Clear is brand-agnostic, data-rich, and community-driven. Every routine log, product review, and progress update helps create a unique longitudinal dataset across skin concerns, routines, and outcomes - powering better decisions for users and better innovation for the wider industry. We were the 2022 L’Oréal Beauty Tech for Good winners, have been recognised by Beiersdorf, and have been featured multiple times by Apple, including App of the Day and Best New Apps.

Waydev tracks AI-generated code from commit to production. AI Checkpoints capture which agent wrote the code, tokens consumed, cost per PR, acceptance rate, and whether it deployed. Compare Copilot, Cursor, and Claude Code on real production outcomes. Measure AI adoption by team, monthly spend, avg tokens per developer, and total tokens used. The Waydev Agent answers plain-English questions about your AI investment. Built for VPs of Engineering and CTOs. Trusted by Dropbox, American Express, Caterpillar, and PwC.

Prequel makes it easy for companies to share data with their customers. It helps you export data directly to your customer's Snowflake, Redshift, BigQuery, Databricks, or other data warehouse on an ongoing basis.

Polytomic is a no-code web app to sync data between your internal databases, business systems (e.g. Stripe, Salesforce, etc), data warehouses, spreadsheets, and even HTTP APIs.

Datafold automates manual work in data engineering. We leverage agentic AI to automate both day-to-day tasks, such as testing and code reviews, and massive one-off projects, such as data platform code migrations. Companies from Perplexity to Disney use Datafold to unlock more value from their data by freeing up their data teams from manual work, accelerating developer velocity, and ensuring data quality.

Mozart Data provides an out-of-the-box modern data stack that empowers anyone to easily consolidate, organize, and prepare their data for analysis. Spin up a data stack that’s built on a best-in-class data warehouse and ETL tool in hours, without any engineering. You can finally spend more time on generating insights and less time wrangling your data.

Jitsu is the fastest, most durable way to collect event data from every source - web, app, email, chatbot, CRM - into your data warehouse. 100% open-source. Purpose built, secure and ready in minutes.