US-Israeli Startup Uses Artificial Intelligence to Revolutionize Real Estate Industry

In the near future, AI-enabled data will streamline our access to music and keep us dancing. AI’s data-driven insights can enhance how the music industry connects with audiences. As the shift from traditional to digital continues, Al can power the production, search, delivery, and profitability in the digital music value chain. Independent artists own a small portion of all the music content available, but they gain data from direct-to-fan platforms likeHiveorPledge Music.

Buyers can also tailor their searches via the startup’s hybrid human-AI adviser called Hunter, which creates a highly curated, ranked listing of properties that are then refined as users respond to suggestions. Last month, another content startup, Pepper Content, raised USD 4.2 million in Series A funding, led by Lightspeed India. The content services marketplace, which brings together content creators and businesses on its platform, is also looking to expand into new categories such as audio and video content and new geographies like Southeast Asia.

A “mobile-first” market research app that helps companies make more data-driven decisions.

The leading startup building mental health chatbot technology is Woebot, which has raised close to $150 million to date from investors including NEA and Temasek. Woebot emphasizes that its conversational AI is grounded in clinically validated therapeutic approaches including Cognitive Behavioral Therapy . Machine translation has been a central goal of artificial intelligence researchers dating back to the very beginnings of the field of AI in the 1950s. Automated language translation products have been available since the dawn of the commercial internet in the 1990s. Yet machine translation has proven to be a fiendishly difficult challenge.

Through cutting-edge AI technology & innovative product design, Liulishuo helps users learn English more efficiently and communicate with the world. The startup’s CEO, Jessy Toh, is a former product manager at Google, and she’s been working on the startup’s data-driven sales software, which is supposed to help sales reps manage their pipelines. An AI-driven platform for internet service providers to manage customer accounts and bill payments. This startup is working to ensure that your home insurance policy covers home repair, and will alert you if you’re not getting the protection you need. They’re already in the process of introducing a data-driven product to the US market.

Deepgram saves businesses time and money by building tailored speech recognition models that increase revenue and maximize productivity. SoundHound develops voice-enabled AI and conversational intelligence technologies. It provides Speech-to-Meaning engine and Deep Meaning Understanding technology that can be built in other services and devices. It also develops app for music recognition and voice assistant for search. Clarifai is a deep learning AI platform that helps users organize, curate, filter and search their media.

The company’s flagship product, Aiello Voice Assistant , is the NLU-based solution dedicated to hospitality and has been introduced to several international hotel brands in Japan, Thailand, Malaysia, and Singapore. Its solutions enable enterprises across various industries (finance, insurance, healthcare, hospitality, etc.) to integrate conversational AI and NLU data analysis into their operations. Currently, the startup’s AI solutions process more than 900,000 speech and text interactions per month in Chinese, English, Thai, and Japanese. CloudMinds provides cloud robot services for the finance, healthcare, manufacturing, power utilities, public sector and enterprise mobility industries. Its cloud-based AI uses advanced algorithms, large-scale neural networks and training data to make smarter robots for image and object recognition, natural language processing, speech recognition and more. As a former agency insider, Grant is leading the charge to provide accountability and accessibility to actionable brand insights.

Language Translation

It has developed an AI- and big data-based platform that enables both buyers and brokers to streamline house-hunting, a traditionally low-tech process. Your customers are being addressed in real time, AI Engine answers their questions and helps them with anything they need through a chat conversation. With the fresh round of funding the company plans to expand operations and increase its product offerings globally.

AKASA aims to reduce unnecessary expenses for patients through healthcare revenue cycle management. A combination of automation and machine learning, AKASA’s platform collaborates with electronic health records to analyze data and develop automated, efficient processes. It helps healthcare teams reduce their workloads while supporting the needs of patients with accurate billing and less confusing workflows. Blockseed will leverage its proprietary Machine Learning-driven algorithms, which refine with each review of a startup to offer startup founders personalized, gamified learning modules that address deficiencies and gaps in knowledge. Blockseed’s partnership with Columbia University Teachers College will support the platform in interpreting insights collected during the beta phase in order to hone the efficacy of these tools. Blockseed is developing tools to support startups at the organizational level through helping founders understand more about their employees and recognize dysfunctions within their processes.

Content Moderation

“Descript is positioning itself more as a creator tool, which is great and they are doing fantastic. However, they don’t cover the full production process from text to speech, over music and sound editing to post-production. Taking audio production to the cloud allows for economies of scale and you can create a different audio track for every listener,” said Kunz.

Hence it reckons synthesized media will be needed to plug the demand gap — serving up infinite permutations of a voice track, each one personalized to a particular customer of the brand or enterprise. For now it’s working on around 10 projects with early beta customers, focused on the edtech, martech and health & fitness sectors. Turns out the truth about high-tech “lies” is itself a bit of a layer cake. But with deepfakes it’s not the sophistication of the technology that matters so much as the impact the content has — and that’s always going to depend upon context. And however well the faking is done, how people respond to what they see and hear can shift the whole narrative — from a positive story (creative/educational synthesized media) to something deeply negative . In this exclusive, author Chad Pollitt delivers the low-down on how artificial intelligence is transforming content marketing as we know it.

Alongside his co-founder, Liza Nebel, Grant has been working to no longer rely on expensive and labor-intensive research, but instead leverage real-time data analysis and automated strategy recommendations. CognitiveScale builds augmented intelligence for the healthcare, insurance, financial services and digital commerce industries. Its technology helps businesses increase customer acquisition and engagement, while improving processes like billing and claims. Companies like P&G, ExxonMobil, JPMorgan Chase, Macy’s and NBC use Cognitive Scale’s products.

It’s currently working on those “less regulations”, having driven its first car at the end of May. It’s also working on having a mobile app, working with auto insurance companies, and building out its in-car technology. A platform that makes it easy for companies to test the performance of their marketing campaigns. It’s a data-driven platform that shows the impact of different marketing channels and lets companies easily see how changing the mix of campaigns affects performance. 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.

Descript – AI Audio and Video Editor

It therefore is and must be at the heart of our efforts to build artificial intelligence. Toch.ai’s SaaS platform leverages artificial intelligence to understand context and key moments in videos to auto-create short-form video. AI-driven SaaS platform Toch.ai plans to invest in innovative companies and provide infrastructure services to bolster growth and accelerate disruption.

Building their vehicles from the ground up rather than fitting technology to existing cars, the company tests its self-driving cars in San Francisco, Las Vegas and Foster City. The monitoring platform is designed to add next-to-no lift to existing IT infrastructure with third-party security protocols to support seamless scalability. Veritone’s goal is to allow organizations to discover more clarity and bring deeper insights into their decision making process.

SupportLogic’s AI-based service experience platform allows companies to analyze tickets to locate high-risk conversations and organize caseloads accordingly. This way, customer experience teams can snuff out escalations before they occur and build trust with their customers. Kardome’s AI-driven source separation and noise-reduction technology gives accurate, real-time voice command input and audio output in any environment. The location-based, speech-clustering technology treats each person in a multi-speaker environment as if they are the only person talking. Kardome’s noise reduction module reduces background noise in any challenging sound environment, whether it’s road noise while driving a car or in a crowded cafe. While some clinicians and patients are uneasy about the idea of a machine providing mental health support, the fact is that we face a critical shortage of trained therapists and affordable mental healthcare today.

One of the most effective marketing tools industry pros can utilize is the consumer data mined through AI’s machine learning. I’ve seen how it improves customer satisfaction, maximizes the return on investment and helps lean teams work more efficiently. Simply put, automation takes manual tasks out of the hands of humans, freeing them up to spend more time on executing a startup’s marketing strategy, responding to changing market conditions, and increasing a startup’s revenue. Replicant is a contact center automation software that helps companies automate their most common customer service requests. Replicant uses AI to provide agents with call summaries and measures trends like overall customer satisfaction, average handle time, competitor mentions, defective products and upsell opportunities.

• In other words, these solutions have only scratched the surface of human-AI interactions, and Inworld AI’s approach to replicate human cognition is designed to create much more intelligent virtual entities.
• SupportLogic’s AI-based service experience platform allows companies to analyze tickets to locate high-risk conversations and organize caseloads accordingly.
• They’re already in the process of introducing a data-driven product to the US market.
• Startups can’t afford to waste their precious resources on the wrong martech—martech that could wind up losing money.

Whether teams want to avoid suspicious sites or block out social media distractions, DNSFilter’s technology quickly snuffs out malware, botnet and phishing attacks. One of these is the Seattle-based Zillow, an online real estate giant founded by former Microsoft executives that has more than 135 million homes listed on its platform. Zillow uses machine-learning models to simplify the real estate transaction process and provide customized searches and home valuations.

• Aiello provides an AI SaaS platform based on proprietary NLU technology.
• Verbit is using smart AI technology to disrupt transcription and captioning with automation and speed.
• NVIDIA builds graphics processing units and hardware to power various types of AI-enabled devices.
• The first category of language AI startups worth discussing is those players that develop and make available core general-purpose NLP technology for other organizations to apply across industries and use cases.
• Sample clips on its website illustrate the personalization element with synthesized (robot-voiced) voice overs greeting a named customer before plunging into the detail of whatever content it’s been programmed to deliver.

We dig into the facts behind the hype, including what types of content automation are possible. Jasper uses AI to generate short-form blog, email, landing page, and social media content. Give Jasper a prompt, and it’ll spit out dozens of pieces of short-form content to get you started on your next piece. You can use the outlines to speed up content creation, automatically summarizing articles and pulling relevant statistics. You can also use the user questions collected by the answer bot to inform what you write about next.

Provides services to make online videos more accessible using a combination of human expertise and automated machine learning technology. For example, the company’s live automatic captioning service relies on automatic speech recognition technology to generate text in real-time. The conversational bot allows users to plan fully personalized trips — starting from aidriven audio startup gives to flights, accommodation, things to do, eat-outs, and nightlife. Utilizing natural language understanding and machine learning algorithms, the bot understands the motive behind each message. It then classifies key information into pre-defined categories and predicts the appropriate action to offer personalized, data-driven responses, like recommendations.