New customers
Ascend for Start Ups
Discount $30,000
- $30,000
- Up To
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Offers (1)
Basic Info
Ascend helps startups and scale-ups move faster by automating the heavy lifting in data engineering with AI. Instead of spending months building and maintaining data pipelines, teams use Ascend's agentic platform to generate, optimize, and manage their data infrastructure through natural language.
With Ascend your engineering team can connect to any data source, transform data into valuable insights, and deliver it anywhere across clouds - without spending hours orchestrating brittle pipelines, debugging failures, or manually optimizing performance, shipping new data products in hours instead of weeks.
Ascend for Startups: Series A/B companies get up to $30,000 of free credits.
Why work with us
Built for lean + growing teams
Ascend's unified platform eliminates tool sprawl and automates the tedious work, so your team can focus on building data products that drive growth.
Ship data products 13x faster
Move from idea to production in hours, not weeks. Ascend streamlines the data lifecycle—from ingestion to transformation to orchestration—so you build 13x faster.
Start free, scale as you grow
Start building immediately with Ascend's Developer Plan, and when you're ready to scale, upgrade seamlessly. Unlike legacy enterprise tools that require multi-year commitments and professional services teams, Ascend gets you to production fast.
More runway, less waste
Every dollar of runway matters. Ascend uses metadata to cut unnecessary compute—customers reduce operational overhead by up to 90%. Optimize from day one, not after you've burned through your Series A.
No vendor lock-in
Build on your terms. Ascend's platform-agnostic architecture means you're never locked into a single vendor's ecosystem—future-proof your data stack as you scale from Series A to IPO.
Clients (3)
HNI
Consumer Discretionary
HNI Corporation is one of the largest office furniture manufacturers in the world in regard to revenues resulting from office segment sales. read more
Harry's
Consumer Discretionary
Harry's is an American company that manufactures and sells shaving equipment and men's personal care products via online and retail channels. read more
News
News is a global, diversified media and information services organization that creates and distributes authoritative content across various sectors, including news, book publishing, digital ... read more
Company focus
Services
Industries
Projects or Case studies (4)
Reading from a Single Source of Data Truth with the New York Post
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Understanding advertising information as well as how readers interact with digital content is crucial to the growth and success of the New York Post and its associated online properties. Already hyper-focused on building robust data pipelines to feed insight and analytics teams, the upcoming crackdown from Google on third-party cookie data in the Chrome browser accelerated the need to drive more data-driven personalization and engagement across the New York Post sites. The team at the New York Post needed to quickly create a scalable way to build data pipelines that power critical insights and changes for how readers and subscribers interact with digital content. As the Ascend Unified Data Engineering Platform was introduced to the team, which is composed of software engineers and project managers, they quickly realized that deploying an ETL platform using Ascend would dramatically accelerate their time to market and ability to continuously deliver new data streams.
Speeding Analytics at Harry's
September 2020 - September 2021
Learn how Harry’s uses Ascend.io to rapidly ingest and transform new, varied data sources for analysis in minutes—not weeks.
Digital Transformation at HNI
January 2020 - September 2021
Learn how HNI Corp Drives Digital Transformation with Data Pipelines using Ascend.io
Styling Data Pipelines for Analytics Success at Mayvenn
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Mayvenn, with a mission to provide high-quality beauty products with an unparalleled shopping experience, uses world-class technology to empower beauty professionals by enabling them to grow their business, while providing them and their clients with exceptional customer support—all backed by a robust and growing data analytics backbone. Mayvenn built their business on providing superior experiences for their stylist network as well as the clients those stylists serve, the basis of which relies on extensive data pipelines that covered a variety of customer and marketing data. With increasing, disparate data streams, the Mayvenn analytics team set out to find a data orchestration solution that enabled them to handle the vast majority of data ingest and transformations while also delivering the ability to rapidly iterate on ETL without requiring help from the engineering team. This is what led the Mayvenn team to the Ascend Unified Data Engineering Platform.
Contacts
Sean Knapp
CEO