Top 10 Startups developing AI for Enterprise in USA

Nov 20, 2024 | By Siddhant Patel

1
Funding: $2B
UiPath designs and develops robotic process automation software. The platform offers foolproof development tool, automation of intricate processes, enhanced control, cloud and on-premise deployment, robust governance, and multiple robots on a single virtual machine.
2
Funding: $1.1B
SambaNova Systems is a computing startup focused on building machine learning and big data analytics platforms.
3
Funding: $1.1B
DataRobot's automated machine learning platform makes it fast and easy to build and deploy accurate predictive models.
4
Funding: $744.4M
Socure's Consumer Verification and predictive analytics platform increases customer acceptance rates while reducing fraud and manual reviews.
5
Funding: $685M
Fractal partners with Fortune 500 companies to power every human decision in the enterprise.
6
Funding: $526M
6sense is a B2B predictive intelligence engine for marketing and sales. It accelerates sales by finding buyers at every stage of the funnel.
7
Funding: $341.3M
Digitize operations with intelligent automation for your business processes, with solutions that use RPA (Robotic process automation), artificial intelligence, chatbots and the crowd. RPA Bots watch and learn how to automate repetitive manual work in business software
8
Funding: $251.2M
InsideSales.com helps sales people close more deals by incorporating Artificial Intelligence into the way they work. It prioritizes deals and provides insights into what works and what doesn’t by analyzing detailed reports around every call.
9
Funding: $237M
Primer builds machines that can read and write, automating the analysis of very large datasets. It trawls thousands of sources online, using natural language processing to read and try to make sense of the vast amount of “open source intelligence”.
10
Funding: $228.5M
C3 AI is a provider of Enterprise AI software for accelerating digital transformation.
11
Funding: $223.5M
Kore.ai specializes in AI-rich conversational solutions designed specifically for enterprises.
12
Funding: $224.3M
Wrangling data is the most time-consuming and inefficient part of any data project – taking up over 80% of the time and resources. Trifacta enables anyone to more efficiently explore and prepare the diverse data of today by utilizing machine learning to provide a breakthrough user experience, workflow and architecture.
13
Funding: $201.5M
Invoca provides complete call intelligence for business. Its machine learning algorithms analyze live phone conversations to understand caller intent and outcomes. Marketers can utilize these insights to make smarter decisions on everything from PPC bidding strategy to digital retargeting audiences.
14
Funding: $192.6M
Gloat is an AI-based anonymous career development platform allowing users to both know their worth and get concrete offers in real time.
15
Funding: $190M
The startup is an artificial intelligence-based enterprise platform that has a mission to help businesses around the world to drive digital transformations
16
Funding: $135.3M
Snorkel AI is focused on making AI practical through Snorkel Flow: the data-first platform for enterprise AI.
17
Funding: $132M
Conversica’s AI platform intelligently convert leads into sales opportunities via natural, two-way email conversations. It creates engaging conversations so that you can reach your sales goals
18
Funding: $130.2M
Orbital Insight’s mission is to source, process, and analyze images generated by satellites and make it actionable for businesses, governments, and NGOs. By applying machine learning and computer vision technologies, we build software that interprets data at petabyte scale to drive better business and policy decisions.
19
Funding: $120.7M
Hive provides cloud-based enterprise AI solutions designed for intelligent automation.
20
Funding: $108M
Petuum is a software infrastructure and ecosystem provider that enables AI for enterprise. Petuum’s operating system gives users a single platform to build any Machine Learning or Deep Learning application using large amounts of data, and deploy it at scale on any hardware – such as workstations, datacenters, the internet of things, and edge computing.
Editor: Siddhant Patel
Siddhant Patel is a senior editor for AI-Startups. He is based out of India and has previously worked at publications including Huffington Post and The Next Web. Siddhant has a special interest in artificial intelligence and has spent a decade covering the rapidly-evolving business and technology of the industry. Siddhant graduated from the Indian Institute of Science (Bengaluru). When he’s not writing, Siddhant is also a developer and has a deep historical knowledge of the computer industry for the past 50 years. You can contact Siddhant at sidpatel(at)ai-startups(dot)org