Top 12 Text Analytics Startups to Watch in 2026
The text analytics sector features startups that apply AI and machine learning to interpret complex language data.
This list includes established players like Brazil's Blip, which has secured $230M in funding. It also features newer companies from Europe and Asia at earlier funding stages.
Below is our list of 12 Text Analytics startups worth keeping an eye on.
Failory's Top 10 Picks
Blip provides a conversational platform that uses AI to help companies automate communication with their customers. Their technology allows businesses to build and manage chatbots for sales, marketing, and support across various messaging channels.
| Headquarters | São Paulo, Sao Paulo, Brazil |
| Year Founded | 1999 |
| Founders | Daniel R. Costa, Marcelo Oliveira, Roberto Oliveira |
| Funding Amount | $230M |
| Startup Size | Major Organization (1,001-5,000) |
| Last Funding Status | Series C |
| Top Investors | Accel, Microsoft, Warburg Pincus, SoftBank, Hugo Barra |
Notta has built an AI-powered service that automatically transcribes audio and video into accurate, editable text. Their platform is designed to capture conversations from live meetings, interviews, and podcasts, turning them into searchable notes.
| Headquarters | Tokyo, Tokyo, Japan |
| Year Founded | 2020 |
| Founders | — |
| Funding Amount | ¥990M |
| Startup Size | Mid-Size Team (51-250) |
| Last Funding Status | Series A |
| Top Investors | GSR Ventures, Mizuho Leaguer Investment |
Factiverse builds AI-powered tools that automatically fact-check content and identify misinformation in real-time. Their editor helps writers and researchers ensure accuracy by flagging questionable claims and providing credible sources.
| Headquarters | Stavanger, Rogaland, Norway |
| Year Founded | 2021 |
| Founders | Maria Amelie, Vinay Setty |
| Funding Amount | $2.4M |
| Startup Size | Founding Team (1-10) |
| Last Funding Status | Pre-Seed |
| Top Investors | Validé, Murshid M. Ali, Herfo, Johann Koss, Yasmin Namini |
Eden AI provides a single API that connects developers to a wide range of AI engines for services like computer vision, speech recognition, and text analytics. Their platform allows teams to manage and combine these various AI providers, simplifying the process of building with artificial intelligence.
| Headquarters | Lyon, Rhone-Alpes, France |
| Year Founded | 2020 |
| Founders | Samy Melaine, Taha Zemmouri |
| Funding Amount | $4.5M |
| Startup Size | Lean Team (11-50) |
| Last Funding Status | Seed |
| Top Investors | Bpifrance, BNP Paribas, Societe Generale, Wendel, Galion.exe |
Relative Insight provides a text analysis platform that uses comparison to discover insights from qualitative data. Their software helps companies analyze language from sources like surveys and reviews to better understand target audiences and market trends.
| Headquarters | Lancaster, Lancashire, United Kingdom |
| Year Founded | 2012 |
| Founders | James Walkerdine, Phil Greenwood |
| Funding Amount | $11.5M |
| Startup Size | Lean Team (11-50) |
| Last Funding Status | Private Equity |
| Top Investors | Maven Capital Partners, YFM Equity Partners, Northern Powerhouse Investment Fund, Mercia Fund Managers, Force Over Mass Capital |
Quantum Platform builds a B2B product platform designed for sophisticated data sampling. Businesses use their solutions to gather and curate information for AI-driven tasks such as computer vision and text analytics.
| Headquarters | Jeddah, Makkah, Saudi Arabia |
| Year Founded | 2018 |
| Founders | Omar Malaikah, Sara Bin Ladin |
| Funding Amount | $9.6M |
| Startup Size | Lean Team (11-50) |
| Last Funding Status | Seed |
| Top Investors | 500 Global, HearstLab, HALA Ventures, Sukna Ventures, Oqal |
7. NEOALI
NEOALI builds deep learning technology that reduces data dependency for AI applications. Their focus on natural language processing and text analytics helps companies develop powerful AI without the need for massive datasets.
| Headquarters | Daegu, Taegu-jikhalsi, South Korea |
| Year Founded | 2019 |
| Founders | — |
| Funding Amount | ₩2.8B |
| Startup Size | Lean Team (11-50) |
| Last Funding Status | Series A |
| Top Investors | NCSOFT, Enlight Ventures, KIBO |
MARA Solutions builds an AI-powered assistant designed to help businesses manage and respond to customer reviews. The tool analyzes customer feedback to provide actionable insights and automates the process of crafting personalized replies.
| Headquarters | Mannheim, Baden-Wurttemberg, Germany |
| Year Founded | 2020 |
| Founders | — |
| Funding Amount | €747k |
| Startup Size | Lean Team (11-50) |
| Last Funding Status | Seed |
| Top Investors | — |
Neticle builds a low-code text analytics platform that helps businesses automate tasks using AI. The company's software is designed to analyze large volumes of text data for consumer and market research.
| Headquarters | Budapest, Budapest, Hungary |
| Year Founded | 2012 |
| Founders | Janos Pasztor, Peter Szekeres, Robert Horvath, Zoltan Csikos |
| Funding Amount | €2.1M |
| Startup Size | Lean Team (11-50) |
| Last Funding Status | Series A |
| Top Investors | Lead Ventures, DMZ, Hiventures |
MARA has developed an AI-powered platform that automates market research by analyzing customer feedback. Their software uses natural language processing to turn unstructured text from sources like reviews and support tickets into actionable business insights.
| Headquarters | Karlsruhe, Baden-Wurttemberg, Germany |
| Year Founded | 2020 |
| Founders | Ingo Lange, Maximilian Lüders, Tobias Roelen-Blasberg |
| Funding Amount | €147k |
| Startup Size | Founding Team (1-10) |
| Last Funding Status | Pre-Seed |
| Top Investors | EXIST |
2 Additional Text Analytics Startups Worth Following
Our top ten picks are just the beginning of the story. Other companies in this space range from established players founded over a decade ago to newer startups just raising their first funds.
This mix of new and experienced companies is what makes the field so interesting right now. Here’s a look at the other startups helping to shape the text analytics space.
