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The Natural Language Processing sector is attracting major investment from around the world. Companies are developing tools for everything from search engines to business automation.
Industry giants like OpenAI have secured funding up to $78 billion. Meanwhile, international players like France's Mistral AI show the global competition with €2.8 billion in funding.
Below is our list of 100 Natural Language Processing startups worth keeping an eye on.
Everything you need to raise funding for your startup, including 3,500+ investors, 7 tools, 18 templates and 3 learning resources.
Buy It For $97 $297 →Information about the industries, countries, and cities they generally invest in.
Get the Sheet for $50Information about their valuation, HQ's location, founded year, name of founders, funding amount and number of employees.
Get the Sheet for $50List of startup investors in the BioTech, Health, and Medicine industries, along with their Twitter, LinkedIn, and email addresses.
Get the Sheet for $50List of 250 startup investors in the AI and Machine Learning industries, along with their Twitter, LinkedIn, and email addresses.
Get the Sheet for $50List of 250 startup investors in the FinTech and Finance industries, along with their Twitter, LinkedIn, and email addresses.
Get the Sheet for $50Perplexity has developed an AI-powered answer engine that provides accurate, real-time responses to user questions. Their platform combines the capabilities of a search engine with a conversational interface to deliver cited, reliable information.
OpenAI builds and deploys advanced artificial intelligence models through its work as a research company. Its conversational AI, ChatGPT, brought the power of large language models to a global audience.
Mistral AI develops a range of large language models, with a strong focus on open-source solutions for developers and enterprises. Their models are known for being highly efficient and customizable, allowing them to be deployed in diverse business environments.
Writer builds a full-stack generative AI platform for enterprises to create consistent content and automate work. Their tools help teams embed secure, custom language models into any business process or application.
Vectara created a generative AI platform that allows developers to easily add features like semantic search and summarization into their own products. Their core technology emphasizes grounded generation, which prevents AI hallucinations by ensuring answers are based on the developer's provided data.
HappyRobot has developed an operating system for building and managing an AI workforce. Companies use their platform to automate complex business processes and workflows.
Dialpad offers an AI-powered platform that brings together a company's contact center, sales dialer, voice system, and meetings into one workspace. Its built-in AI analyzes every conversation to provide real-time coaching, automated summaries, and valuable customer insights for sales and support teams.
Upstage develops custom large language models and AI-powered document processing tools. Their technology helps businesses automate data extraction and analysis to improve workflow management.
Deepgram builds AI speech-to-text models that allow developers to transcribe and understand audio data. Their platform offers a suite of APIs for transcription, audio intelligence, and text-to-speech, known for its speed and accuracy.
Aisera builds an Agentic AI platform that automates service management operations for large companies. The platform uses generative AI to resolve user requests and automate workflows across departments like IT, HR, and customer service.
Our top ten picks are just a small sample of the activity happening in this space. Together, the companies on this list have raised over $3.7 billion to build tools for industries ranging from AI and analytics to healthcare.
The field includes both established players and brand new startups founded in the last couple of years. Here’s a look at the other 90 companies that are catching our attention.
| Startup | Main Industry | Year Founded | Amount Raised | Last Funding Round |
|---|---|---|---|---|
| AI | 2023 | $18.3M | Series A | |
| AI | 2023 | $13.7M | Series A | |
| AI | 2015 | $23.8M | Series B | |
| AI | 2018 | $35M | Series B | |
| AI | 2017 | $203.8M | Debt Financing | |
| AI | 2024 | $93M | Series A | |
| Enterprise | 2017 | $67.7M | Series B | |
| Analytics | 2017 | $16M | Series A | |
| AI | 2016 | $395.2M | Venture Round | |
| AI | 2016 | $103.9M | Debt Financing | |
| InsurTech | 2017 | $38.5M | Series B | |
| AI | 2017 | $52.5M | Series B | |
| Analytics | 2012 | $36.3M | Venture Round | |
| AI | 2013 | $100M | Series C | |
| AI | 2004 | $162.8M | Venture Round | |
| AI | 2022 | $21.5M | Debt Financing | |
| AI | 2016 | $165M | Venture Round | |
| GovTech | 2019 | $30.1M | Venture Round | |
| AI | 2018 | $45M | Series B | |
| Analytics | 2012 | $41.5M | Private Equity | |
| AI | 2023 | $20M | Series A | |
| AI | 2015 | $162.9M | Undisclosed | |
| AI | 2022 | $13.5M | Series A | |
| AI | 2019 | $17.3M | Series A | |
| AI | 2015 | $78.6M | Venture Round | |
| AI | 2021 | $50M | Series A | |
| Security | 2011 | $318.3M | Debt Financing | |
| AI | 2022 | $65M | Series B | |
| Analytics | 2016 | $27.6M | Debt Financing | |
| AI | 2018 | $55.6M | Venture Round | |
| AI | 2019 | $533.6M | Secondary Market | |
| AI | 2024 | $1M | Pre-Seed | |
| AI | 2023 | $10.5M | Seed | |
| AI | 2013 | $91.2M | Series C | |
| AI | 2022 | $900k | Seed | |
| Enterprise | 2016 | $21M | Series A | |
| AI | 2018 | $67M | Series B | |
| AI | 1999 | $230M | Series C | |
| AI | 2017 | ₩23B | Series B | |
| AI | 2013 | $223.5M | Series D | |
| AI | 2021 | ₩152.3B | Series B | |
| AI | 2018 | $30.7M | Venture Round | |
| Analytics | 2015 | $63.8M | Convertible Note | |
| AI | 2022 | $400k | Seed | |
| AI | 2014 | $42.5M | Venture Round | |
| AI | 2016 | $115.6M | Series C | |
| SaaS | 2014 | $1.8M | Seed | |
| AI | 2021 | $19.3M | Series A | |
| AI | 2012 | $264.9M | Venture Round | |
| AI | 2020 | $58M | Series A | |
| Data | 2018 | $12.3M | Series A | |
| Media | 2010 | $13.1M | Private Equity | |
| AI | 2021 | $2.4M | Pre-Seed | |
| AI | 2014 | ¥1.3B | Series B | |
| AI | 2019 | $56M | Series A | |
| AI | 2016 | $28.1M | Series B | |
| AI | 2010 | €78M | Private Equity | |
| AI | 2021 | $500k | Pre-Seed | |
| Analytics | 2019 | $8.9M | Series A | |
| AI | 2016 | $1.2M | Series A | |
| AI | 1991 | €98.8k | Grant | |
| AI | 2011 | $21.3M | Series A | |
| AI | 2018 | €14M | Seed | |
| AI | 2023 | $1.1M | Pre-Seed | |
| Analytics | 2012 | $1.5M | Seed | |
| Cloud | 2017 | $11.3M | Venture Round | |
| AI | 2018 | $15.8M | Venture Round | |
| AI | 2022 | €3M | Pre-Seed | |
| Marketing | 2012 | $11.5M | Private Equity | |
| AI | 2016 | $4.9M | Seed | |
| Analytics | 2021 | $3.3M | Seed | |
| AI | 2017 | $7.2M | Seed | |
| AI | 2017 | $3.5M | Venture Round | |
| AI | 2023 | $3M | Venture Round | |
| AI | 2019 | ₩2.8B | Series A | |
| AI | 2018 | $2.1M | Seed | |
| Fintech | 2017 | €4.4M | Series A | |
| Mobility | 2017 | €1.2M | Series A | |
| Analytics | 2020 | $536.7k | Seed | |
| Analytics | 2020 | €747k | Seed | |
| AI | 2023 | $1M | Pre-Seed | |
| AI | 1985 | $69.2M | Venture Round | |
| AI | 2021 | $103k | Seed | |
| AI | 2015 | CN¥163M | Series B | |
| Hardware | 2016 | €3M | Seed | |
| Analytics | 2012 | €2.1M | Series A | |
| AI | 2019 | $869.3k | Seed | |
| AI | 2021 | €360k | Pre-Seed | |
| AI | 2020 | €872k | Pre-Seed | |
| AI | 2014 | $1.4M | Seed |
