Top Natural Language Processing Startups in 2024

Vio.com is a super-powered tool travelers use to get better deals every stay. #abetterdeal We help +100M visitors a year across the globe access better accommodation deals! Launched in 2016 as FindHotel, we have scaled within the online travel industry by creating a unique booking experience. Users can compare rates from all major travel suppliers and enjoy a seamless booking experience on Vio.com. We are a trusted partner to all major travel networks and suppliers. Integrating with Google, TripAdvisor, Bing, Agoda, Kayak, Skyscanner, Trivago and more From our office in the heart of Amsterdam to over a dozen countries around the world, we are proud to have a distributed team of 150+ experienced professionals, active across four continents. We’re always looking for great people that share our vision and values. Visit vio.com/careers to see our latest job openings.

Measuring model ability is the most challenging part of creating applications that are capable of automating any given part of the economy. There are no good techniques or benchmarks for evaluating LLM performance on business-relevant tasks, so adoption for enterprise production settings has been limited (see Wittgenstein’s ruler). This problem materializes in each place where LLMs have potential: in understanding whether the AI tool companies are building a product will satisfy a customer demand, determining how feasible models and vendors are for a given enterprise in making purchasing decisions, for researchers who need a north star to which to expand model ability. Today, answering these questions amounts to hiring a human review team to manually evaluate model outputs. This is prohibitively expensive and slow. Vals AI is building the enterprise benchmark of LLM and LLM apps on real-world business tasks. In doing so we are creating the infrastructure + certification to automatically audit LLM applications, verifying they are ready for consumption. We've raised mid-seven figures from some of the top institutional investors and strategic angels in Silicon Valley. See our benchmarks and launch announcement in Bloomberg: bloomberg.com/news/newsletters/2024-04-11/this-startup-is-trying-to-test-how-…

Maybe you’ve supported a friend or family member who’s dealing with cancer. Maybe you’ve battled it yourself. At Syapse, our mission is to enable healthcare providers to deliver the best care to every cancer patient through precision medicine and it's our personal connections to this mission that unites us Together, we're building a revolutionary suite of products that integrate complex oncology data and share insights across the cancer care ecosystem including cancer care centers and life science companies developing the next generation of cancer diagnostics and medicines. Join us in our exciting mission to scale precision medicine to reach every cancer patient on the planet. All while making a positive impact in the lives of people battling cancer, their families and the organizations committed to their care.

Causaly’s mission is to accelerate the pace of human discovery in biomedicine and to power the research organizations of the world’s largest life sciences companies to accelerate their drug discovery and development programs. We do this by developing easy-to-use AI tools to find and qualify scientific facts and collaborate effectively across multidisciplinary teams. Our technology mimics human reading, and digests tens of millions of scientific documents, clinical trial, labels, news and other data sources at super human scale to generate a high precision Science Knowledge Graph allowing scientists, investigators, researchers and others to answer questions they can’t answer anywhere else.

AnswerRocket's platform leverages LLMs and AI to transform the way businesses make data-driven decisions every day. Founded in 2013 by successful tech entrepreneurs, AnswerRocket’s mission has always been to make data analysis easy. As a founder-owned and founder-led startup in Atlanta, GA, AnswerRocket has been growing at a stellar pace in every measure: revenues, people, innovation, and customers. We’re proud to regularly be recognized for product and company culture achievements. We’ve been named a Cool Vendor in Analytics by Gartner, as well as been awarded a Top Workplace by the Atlanta-Journal Constitution. Headquartered in Atlanta, GA and with employees nationwide, our team consists of a group of very talented, smart and passionate people with broad interests and backgrounds. We’re looking for go-getters, idea-chasers and it-can-be-doners. We’ve worked hard to foster an intensely collaborative and creative environment, a diverse and inclusive employee culture, and training and opportunity for professional growth. Our people are everything.

EasySLR is an AI-first SaaS platform focused on systematic literature reviews. It provides features like AI-assisted study selection, intelligent data synthesis, transparent conflict resolution, comprehensive dashboard analytics, auto full-text retrieval, and customizable data extraction forms. These tools aim to make literature reviews faster, more accurate, and user-friendly, addressing the complex needs of systematic research innovatively and intuitively. The platform is designed by a team of experts with a strong background in building and scaling global products with a commitment to technological excellence and user-centric design. Our values are the driving force behind our mission. We champion innovation, nurturing a culture of continuous improvement that pushes the boundaries of what's possible in health research. Integrity and collaboration are the cornerstones of our foundation, ensuring that we operate with transparency and synergize diverse expertise to achieve common goals. We're dedicated to building tools that not only simplify the research process but also amplify its impact—because at EasySLR, we believe that the best way to predict the future of healthcare is to create it.

We’re a team of seasoned technology and healthcare veterans who have come together to build **software that gives doctors AI superpowers**. Our products combine a unique blend of machine learning research, deep medical expertise, and real-time user interfaces to ambiently support doctors so that they can focus on what they do best: providing care. We’re still in stealth mode, but over the past 18 months, we’ve executed several watershed technical breakthroughs, and doctors now rely on our real-time AI system every single day. On the heels of these milestones, we **recently closed our Series A in May 2022**. We’re actively growing our team across business, marketing, product, engineering, operations, and clinical functions to add to our incredible tribe of 20+ people, which includes: - 2nd time founders in healthcare who previously built a virtual primary care practice - the author of a leading deep learning textbook - co-founder of Cruise’s ML platforms team - co-founder of Rev.com’s automated speech recognition team - healthcare professionals with > 100 years of cumulative clinical experience

**Metaview** AI co-pilots will fundamentally rewire how work gets done. More flow-state, less toil. More insight, less guesswork. Human-centric, not process-centric. Metaview is building the AI co-pilot for hiring. At the moment, hiring is tedious, inefficient, and unreliable. But not for long. Metaview will handle the busywork, accelerate the workflows, and act as the thought partner for hiring the right candidate, quickly. We’ll make hiring feel like the high-leverage activity it is. Metaview is a startup founded by Siadhal and Shahriar after their experiences building products and teams at Uber and Palantir, and is backed by phenomenal investors in the US and Europe. Our starting point on this mission is an AI-powered note taker that gives interviewers superpowers: beautifully structured and summarized interview notes, pre-filled candidate feedback forms, and rich candidate write-ups generated in just a few clicks (if that). We’re already seeing that Metaview is becoming the center-of-gravity for the hiring process at customers like Brex, Robinhood, Genentech, and hundreds more. **The team** * We own our work from end-to-end. We work “towards goals”, not “on tasks”. We’re a team that knows the satisfaction of doing great work is only felt when it impacts the customer. * We optimize for rate-of-learning. We treat learning as the highest-form of currency for delivering future impact, and act accordingly: we run experiments, question thoroughly, and talk to customers over-and-over. We covet earned secrets. * We’re direct and actively-transparent in how we communicate and share progress. There’s no point painstakingly hiring a world-class team, if they are then uninformed or unaware of the context that matters. We’re a hybrid team with a HQ in London, UK.

Our challenge is to offer the latest technologies in artificial intelligence through the most simple, efficient and well-designed product to our customers, in a traditional industry. We are building a legal research and analytics software for legal professionals to search through the law, handle their cases, and grow their business. All our current job opportunities are listed here: doctrine.com/jobs

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