Dataiku
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Enterprise AI platform Dataiku launches managed service for smaller companies
Dataiku is going downstream with a new product today called Dataiku Online. As the name suggests, Dataiku Online is a fully managed version of Dataiku. It lets you take advantage of the data science platform without going through a complicated setup process that involves a system administrator and your own infrastructure.
If you’re not familiar with Dataiku, the platform lets you turn raw data into advanced analytics, run some data visualization tasks, create data-backed dashboards and train machine learning models. In particular, Dataiku can be used by data scientists, but also business analysts and less technical people.
The company has been mostly focused on big enterprise clients. Right now, Dataiku has more than 400 customers, such as Unilever, Schlumberger, GE, BNP Paribas, Cisco, Merck and NXP Semiconductors.
There are two ways to use Dataiku. You can install the software solution on your own, on-premise servers. You can also run it on a cloud instance. With Dataiku Online, the startup offers a third option and takes care of setup and infrastructure for you.
“Customers using Dataiku Online get all the same features that our on-premises and cloud instances provide, so everything from data preparation and visualization to advanced data analytics and machine learning capabilities,” co-founder and CEO Florian Douetteau said. “We’re really focused on getting startups and SMBs on the platform — there’s a perception that small or early-stage companies don’t have the resources or technical expertise to get value from AI projects, but that’s simply not true. Even small teams that lack data scientists or specialty ML engineers can use our platform to do a lot of the technical heavy lifting, so they can focus on actually operationalizing AI in their business.”
Customers using Dataiku Online can take advantage of Dataiku’s pre-built connectors. For instance, you can connect your Dataiku instance with a cloud data warehouse, such as Snowflake Data Cloud, Amazon Redshift and Google BigQuery. You can also connect to a SQL database (MySQL, PostgreSQL…), or you can just run it on CSV files stored on Amazon S3.
And if you’re just getting started and you have to work on data ingestion, Dataiku works well with popular data ingestion services. “A typical stack for our Dataiku Online Customers involves leveraging data ingestion tools like FiveTran, Stitch or Alooma, that sync to a cloud data warehouse like Google BigQuery, Amazon Redshift or Snowflake. Dataiku fits nicely within their modern data stacks,” Douetteau said.
Dataiku Online is a nice offering to get started with Dataiku. High-growth startups might start with Dataiku Online as they tend to be short on staff and want to be up and running as quickly as possible. But as you become bigger, you could imagine switching to a cloud or on-premise installation of Dataiku. Employees can keep using the same platform as the company scales.
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Dataiku raises $101 million for its collaborative data science platform
Dataiku wants to turn buzzwords into an actual service. The company has been focused on data tools for many years, before everybody started talking about big data, data science and machine learning.
And the company just raised $101 million in a round led by Iconiq Capital, with Alven Capital, Battery Ventures, Dawn Capital and FirstMark Capital also participating.
If you’re generating a lot of data, Dataiku helps you find a meaning behind data sets. First, you import your data by connecting Dataiku to your storage system. The platform supports dozens of database formats and sources — Hadoop, NoSQL, images, you name it.
You can then use Dataiku to visualize your data, clean your data set, run some algorithms on your data in order to build a machine learning model, deploy it and more. Dataiku has a visual coding tool, or you can use your own code.
But Dataiku isn’t just a tool for data scientists. Even if you’re a business analyst, you can visualize and extract data from Dataiku directly. And because of its software-as-a-service approach, your entire team of data scientists and data analysts can collaborate on Dataiku.
Clients use it to track churn, detect fraud, forecast demand, optimize lifetime values and more. Customers include General Electric, Sephora, Unilever, KUKA, FOX and BNP Paribas.
With today’s funding round, the company plans to double its staff. The company currently works with 200 people in New York, Paris and London. It plans to open offices in Singapore and Sydney, as well.
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Up-and-coming enterprise startups in NYC
New York City has an incredible density of up-and-coming enterprise-focused startups. While the winners are publicized and well-known, we felt it was time to put a bit of a spotlight on younger companies, ones you may not have heard about yet, but are likely to in the coming years.
TechCrunch asked two dozen founders, venture capitalists, and other community members which companies — other than ones they are directly connected to — they thought were most likely to change the enterprise world in the coming years. From a list of 64 nominated startups, we chose twelve we thought best exemplified the potential for New York. All data on venture capital fundraised comes from Crunchbase. Also be sure to check out our in-depth profiles of NS1, Datadog, BigID, Packet, and Timescale as well as Security Scorecard, Uplevel, and HYPR, which were not included on this list.
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Dataiku to enhance data tools with $28 million investment led by Battery Ventures
Dataiku, a French startup that helps data analysts communicate with data scientists to build more meaningful data applications, announced a significant funding round today. The company scored a $28 million Series B investment led by Battery Ventures with help from FirstMark, Serena Capital and Alven. Today’s money brings the total raised to almost $45 million. Its most recent prior round… Read More
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Dataiku grabs $14 million for its collaborative data science platform
French startup Dataiku has been profitable for the past three years. But the company wants to go further and is raising a $14 million Series A round led by FirstMark Capital with all existing investors also investing.
Dataiku helps data scientists and data analysts manage huge sets of data to get some insights about what’s happening with their customers, suppliers, transactions and more. Read More
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