37 Startups building voice applications for healthcare
What are the Most Important Features of an Online Chatbot Tool?
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- This startup wants to build an AI-powered chatbot to help you manage your money, with a focus on millennials.
- Idea: A platform for chatbots that can visualize and interact with data
- Idea: A self-learning, natural language processing platform for chatbots that can connect with any API
- A startup that has developed an AI-driven chatbot that helps people move into an apartment.
- A chatbot to help with small talk and get to know people you’re meeting with in person.
Acquired by Google in 2014, Deepmind is a research firm that focuses on AI research, covering everything from climate change to healthcare and finance. Its goal is to build “safe” AI that evolves in its abilities to solve problems. The firm is based in London and recruits heavily from Oxford and Cambridge, which are leading universities in Europe for AI and ML research. Running AI is exceptionally data-intensive – the more data the better – and so today’s chipmakers are star players. Impressively, the chip accomplishes tasks like high-speed language translation and facial recognition.
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Businesses can develop chatbots to handle more straightforward and complex queries instead of continuously training groups of customer service agents to meet customers’ changing needs. Although the initial implementation costs could be high, the benefits outweigh any aidriven audio startup gives voice chatbot implementation hiccups. A key component of any artificial intelligence solution is data because the more data you have, the faster your AI chatbot can learn and improve its service. In short, more context leads to better chatbots—and more personalized conversations.
This startup wants to build an AI-powered chatbot to help you manage your money, with a focus on millennials.
A data-driven company that makes a program that helps people pay their utility bills every month. The startup is focused on helping customers keep their utility bills at a minimum. A startup building an AI-driven virtual assistant that aims to make hiring and firing employees just as easy as firing a drone. This startup is building an AI-driven platform for finding freelance contractors, similar to Upwork or Freelancer.
Kencor Health integrates with the latest AI technology to keep your patients engaged in their treatment plan while keeping your team connected to how they are doing. Sensely intelligently connects people with clinical advice and services, enhancing access without compromising empathy. WinterLight Labs has developed a novel AI technology that can quickly and accurately quantify speech and language patterns to help detect and monitor cognitive and mental diseases. Merit.ai uses AI to provide around the clock assistance for scheduling, rescheduling, and cancellation for all appointment types for both new and existing patients.
Idea: A platform for chatbots that can visualize and interact with data
A tool to create a photo-realistic simulation of an office environment with a 3D avatar. Its founders say it’s the first 3D avatar platform that is both accessible and real-time. A logistics company building an app to let consumers plan their own personal deliveries with the help of a robot. Saykara is simplifying data capture with a new artificial intelligence-based virtual scribe solution that eliminates the hassle of working with EHRs. Many voice technologies are automating or simplifying communication between patients and providers. Intelligent bots can save clinical staff valuable time and complete tasks – like appointment scheduling and reminders in an outpatient setting, or care team coordination in an inpatient setting.
- Lots of other User.com sales, marketing, and support tools to directly integrate with your chatbot and share one common data source with.
- Chatbots can also use AI to provide personalized suggestions to agents on how to deal with a given inquiry.
- A bot can be integrated into your sales CRM like it’s integrated into your customer service software.
- This open-source strategy gives Rasa’s customers greater transparency and control over the conversational AI interfaces that they build and deploy.
- The three major types of Conversational AI are Rule-based, Artificial intelligence, and Hybrids.
- Symphony AyasdiAI is a machine intelligence software company that offers intelligent applications to its clients around the world for big data and complex data analytics problems.
And it’s especially popular among e-commerce companies focused on a variety of products including cosmetics, apparel, consumer goods, clothing, and more. Even the smartest AI on the market can’t help you if it’s not compatible with all the channels in which you converse with customers. Also, Zendesk’s Marketplace makes it easy to connect a variety of industry-leading AI chatbots. Bots can also integrate into global support efforts and ease the need for international hiring and training.
Once a standalone company and now a division of MasterCard, Brighterion offers AI for the financial services industry, specifically designed to block fraud rates. The company’s AI Express is a fast-to-market solution – within 6-8 weeks – that is custom designed for customer use cases. Blue River Technology is a subsidiary of Deere & Co. that combines artificial intelligence and computer vision to build smart farm tech – clearly a growing need, given population growth. The company’s See & Spray technology can detect individual plants and apply herbicide to the weeds only. This reduces the number of chemicals sprayed by up to 90% over traditional methods.
One last startup of note in this category is Resemble AI, which specializes in generating realistic human voices using generative adversarial networks . Resemble’s synthetic voices can speak with all the nuance and range of a human—for instance, whispering or communicating with various emotions—and are finding use cases from video games to advertising. The company recently made headlines when its technology was used to reproduce Andy Warhol’s voice for an upcoming Netflix documentary. The leading player in this category is Moveworks, which raised a $200 million Series C from Tiger Global last year.
It wants to build a reputation system that connects people with skills with others who need those skills. We’re used to hearing about billion dollar startups, but none are aiming to create a unique operating system to process data like this one. A startup that wants to entirely re-invent industry standards and create a new “standard” for data-driven industries like the medical industry. A “mission-driven” startup that works to provide education to low-income kids in third-world countries.
- The founders of this startup say that people are willing to spend up to $80,000 to get a new car, but are not willing to spend the same amount on their current ones.
- And make no mistake—given the scale of the challenge, the market opportunity here is massive.
- Several startups are using voice technology as a virtual scribe to enter physician notes into the EHR.
- Helping people collaborate more easily via a mobile application and web app.
- By using robots to prepare meals in advance, the company is able to offer a consistent menu across its locations.
HubSpot is known for its CRM, customer service, and marketing tools it provides for teams of all sizes in a wide variety of industries, but less well-known for its chatbot. However, for basic needs—and especially for existing HubSpot users—HubSpot’s chatbots are a great way to get started. Among other things, HubSpot’s chatbots enable your sales teams to qualify leads and book meetings, your service team to facilitate self-service, and your marketing teams to scale one-to-one conversations. Designed for retailers, Yosh.AI virtual assistant can communicate in a conversational way with users using voice and text.
A chatbot to help with small talk and get to know people you’re meeting with in person.
Healthcare data is incredibly messy, as anyone who has been exposed to the modern healthcare system knows. Relevant clinical and pharmaceutical information is typically free-form, poorly organized and spread across disparate data sources, from siloed EHRs to difficult-to-edit PDFs. Extracting insights from this data manually is time-consuming and costly. There is no one particular NLP “killer app” in healthcare; rather, startups have identified a wide range of different use cases to which language AI can be valuably applied. The problem of toxic content has been a reputational nightmare and a technological quandary for social media platforms like Facebook in recent years.
Aflorithmic nabs $1.3M for AI-driven personalized audio-as-a-service – TechCrunch
Aflorithmic nabs $1.3M for AI-driven personalized audio-as-a-service.
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A campaign that allows users to create videos of their social media posts and sends it to politicians via Facebook. It’s an election-year project that’s trying to get both parties to put social media on their agendas. A B2B software company that helps employers connect with top talent, building software that helps companies find and manage both employees and talent.
The first iteration of this technology is Moxie, an animate companion for children developed to help promote social, emotional, and cognitive learning. Capacity provides AI-based information and data integration management solution. It allows users to handle the company knowledge, enterprise search, knowledge management, knowledge sharing, and data integration management solutions. Chatfuel is a self-serve bot-building platform that allows for live chat and automated chatbot integration.