Symbl.ai focuses on artificial intelligence that understands and processes natural human conversations, providing tools for businesses to gain insights from spoken interactions. The company operates on a platform-as-a-service (PaaS) model, allowing clients to access its technology via the cloud and pay based on usage. By offering a robust API, Symbl.ai enables developers to integrate conversational intelligence into their products, enhancing user experiences. The goal is to transform how businesses interact with and understand human conversations.

Revel Partners

Flying Fish Partners

Techstars

Third Kind Venture Capital

Tom Williams

Tony Chen

Amazon Alexa Fund

Jump Capital

TechNexus

CrossCut Ventures

Great Point Capital

PBJ Capital

Gutbrain Ventures

GreatPoint Ventures

Enterprise Software

AI & Machine Learning

Symbl.ai

Flying Fish managing partners, from left: Geoff Harris, Heather Redman, and Frank Chang. (Flying Fish Photo)Flying Fish is looking for new opportunities.The Seattle-based venture capital firm is raising money for a new “Flying Fish Opportunity Fund I,” according to a new SEC filing. The firm declined to comment when reached by GeekWire on Thursday.Flying Fish launched in 2017 with a thesis focused on AI, machine learning, and robotics. It initially focused on startups across the Pacific Northwest but broadened its geographic reach to Canada and elsewhere after raising $70 million for its second fund in 2022.The “Opportunity Fund” could indicate that Flying Fish wants more capital to make follow-on investments in existing portfolio companies. It’s listed as a $25 million offering on the filing. Flying Fish raised $37 million for its first fund in 2018.A separate SEC filing in July revealed that Flying Fish is raising for a third fund

Seattle Venture Capital Firm Flying Fish Raising New ‘Opportunity Fund’

GeekWire’s in-depth startup coverage tells the stories of the Pacific Northwest entrepreneurial scene.Flying Fish managing partners, from left: Geoff Harris, Heather Redman, and Frank Chang. (Flying Fish Photo)Flying Fish, the Seattle-based venture capital firm founded in 2016, is raising a new fund.GeekWire spotted a new SEC filing on Friday revealing “Flying Fish Fund III.”The firm declined to comment in response to an inquiry.Flying Fish raised $70 million for its second fund in 2022, and raised $37 million for its first fund. It invests in early stage machine learning, AI, and robotics startups. The firm initially backed companies based in the Pacific Northwest but expanded its geographic reach after raising the second fund.“We still have a major emphasis here in our own backyard, and are big believers in this ecosystem,” Heather Redman, managing partner at Flying Fish, said at a Technology Alliance event in Seattle in June.The Flying Fish portfolio includes Symbl.ai, Vouched, Phaidra, Orbital Materials, TrojAI, Groundlight AI, Clarity, and other startups.“We tend to invest in things that are very highly centered around AI and require a lot of AI expertise,” Redman said during a panel discussion in Bellevue last month.Flying Fish invests in AI startups that build both platform technologies and vertical applications. It is also eyeing startups developing apps and services around reinforcement learning, according to Redman’s comments at the Technology Alliance event.AI startups are gobbling a big chunk of funding these days, raising nearly a third of all dollars during the second quarter, according to CBInsights.Venture capital firms, meanwhile, are raising far less money for their own funds compared to the 2021-22 boom times, driven in part by a lack of startup exits in recent years.The fundraising environment for venture capital firms “has become increasingly competitive,” wrote Ginger Chambless, head of research for commercial banking at JP Morgan, in a recent PitchBook-NVCA report.“LPs are becoming more selective, focusing on funds with a strong track record, clear differentiation, and robust value-add strategies,” Chambless wrote.A number of other Seattle-area venture firms have raised new funds over the past three years, including Madrona, Fuse, PSL Ventures, Trilogy Equity Partners, Founders’ Co-op, Unlock Venture Partners, and Graham & Walker.Flying Fish is led by Redman along with fellow managing partners Geoff Harris and Frank Chang.The Washington state Department of Commerce recently announced that it is participating as a Flying Fish investor through its Washington Small Business Credit Initiative

Filing Indicates New Fund For Seattle Venture Capital Firm Flying Fish

Browse in-depth TOC on "Natural Language Understanding (NLU) Market"400 – Tables70 - Figures350 – PagesDownload PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=204151413Scope of the ReportReport Metrics Details Market size available for years 2019–2029 Base year considered 2023 Forecast period 2024–2019 Forecast units USD Billion Segments Covered Offering (Solutions [Platform and Software tools & frameworks], Solutions by Deployment Mode [Cloud and On-premises] and Services [Professional Services {Training & Consulting, System Integration & Implementation, Support & Maintenance} and Managed Services]), Type (Rule-Based, Statistical, Hybrid), Application (Chatbots & Virtual Assistants, Customer Experience Management, Text Analysis, Sentiment analysis, IVR & message routing, Data capture, Machine translation and Other Applications) and Verticals (BFSI, Healthcare & Life Sciences, Retail & Ecommerce, IT&ITeS, Transportation & logistics, Government & Public sector, Media & Entertainment, Manufacturing, Telecommunication and Other verticals [Travel & Hospitality, Automotive, Energy & Utilities and Education]). Geographies covered North America, Europe, Asia Pacific, Middle East & Africa, Latin America Companies covered Key players are Microsoft (US), Google (US), IBM (US), AWS (US), Meta (US), SAS Institute, Oracle (US), Salesforce (US), OpenAI (US), SoundHound AI (US), IQVIA (US), LivePerson (US), Haptik (India), Kapiche (Australia), Rasa (US), MindMeld (US), Hugging Face (US), Conversica (US), Expert.ai (Italy), Verbio Technologies (Spain), Wolfram (US), Cortical.io (Austria), Omilia (Cyprus), Cognigy (Germany), Plasticity (US), Afforai (US), Tune AI (US), Vebrit.ai (US), Synthesys (UK), Picovoice (Canada), Symbl.ai (US), Tisane Labs (Singapore), Prosa.ai (Indonesia), Abacus.AI (US), Forethought (US).By offering, the services segment to account for higher CAGR during the forecast period.The demand for services in the NLU market is rapidly increasing, making it the fastest-growing segment. These services include consulting, training, system integration and implementation, and support & maintenance, all aimed at helping organizations effectively deploy NLU solutions. As businesses look to customize NLU solutions to their unique requirements, integrate them with current systems, and enhance their performance, specialized services are becoming essential. Furthermore, with the continuous growth in unstructured data complexity, there is a rising need for services that can assist in data preprocessing, annotation, and quality assurance to maintain the accuracy and reliability of NLU models.Request Sample Pages@ https://www.marketsandmarkets.com/requestsampleNew.asp?id=204151413By Vertical, BFSI is expected to hold the largest market size for the year 2024.The vertical market in the Natural Language Understanding (NLU) Market is set to be dominated by the Banking, Financial Services, and Insurance (BFSI) sector. This sector holds the largest share due to various factors specific to the BFSI industry

Natural Language Understanding (Nlu) Market Worth $62.9 Billion By 2029- Exclusive Report By Marketsandmarkets™

The tenth Techstars Seattle cohort gathers after Demo Day in 2019 at Seattle’s Museum of History and Industry. (GeekWire File Photo / Taylor Soper)Techstars Seattle is done. What does it mean for the city’s startup ecosystem?That’s a question on our minds in the immediate aftermath of the surprising news this week from Techstars to shut down its Seattle program.“It’s a serious loss for our remarkable community,” Isaac Kato, former Techstars Seattle managing director, told GeekWire. More than 160 startups participated in the core Techstars Seattle accelerator since it launched in 2010. The program, based at the University of Washington’s Startup Hall, served as a key hub for budding startup founders who needed mentorship and capital as they built the next great companies. It also drew entrepreneurs and investors to Seattle, bolstering the city’s tech muscle

Seattle Tech Leaders Lament Departure Of Techstars But Remain Bullish On New Opportunities

DUBLIN, Jan. 16, 2024 /PRNewswire/ -- The "Amazon.com - Digital transformation strategies" company profile has been added to ResearchAndMarkets.com's offering.This report provides insight into Amazon's tech activities, including its digital transformation strategies, its innovation programs, its technology initiatives, its estimated ICT budget, and its major ICT contracts.Amazon.com Inc (Amazon) is an online retailer and web services provider. The company retails a variety of products including apparel, auto & industrial items, beauty & health products, electronics, groceries, books, games, jewelry, kids and baby products, movies, music, sports goods, toys, and tools among others through online platforms and brick-and-mortar stores. The company's platforms are also used by various third parties for selling their goods.ScopeAmazon is one of the first retail companies in the world to use artificial intelligence (AI) and its subset - machine learning (ML) - to suggest products to customers. The Amazon recommendation engine, Amazon Go Store, and Alexa - the three most popular Amazon products - are powered by AI and ML. The company follows a unique AI strategy called the flywheel approach to ensure that AI and ML-based innovations and insights are not confined to just one department but are shared among departments across the organization.Amazon developed and deployed a data lake called Galaxy data lake to store, govern, discover, and share enterprise-wide data

Amazon.Com Digital Transformation Strategy Analysis Report 2023: Accelerators, Incubators, And Other Innovation Programs

DUBLIN, Aug. 18, 2023 /PRNewswire/ -- The "Generative Artificial Intelligence (AI) Powerplay: What's in the Big Tech AI Playbook" report has been added to ResearchAndMarkets.com's offering.The almost overnight success of OpenAI's ChatGPT has caused a seismic shift in the AI strategies of the tech giants. While they are already familiar with the underlying technology, i.e., generative AI, they are now seeking ways to capitalize on OpenAI's success and establish themselves as leaders in the market.What's more, these companies view generative AI as a critical tool for achieving their long-term AI goals, including developing specialized AI systems to meet the unique needs of their customers and enhancing existing products with generative AI capabilities.The report demonstrates how the major tech companies, primarily MAGMA, are competing for dominance in the generative AI market. These companies are not only launching generative AI products and services, but also creating supporting models, hardware, and infrastructure to cement their position as leaders in this rapidly evolving field.Presents real-world innovation examples related to the generative AI products, models, hardware, and infrastructure by major technology companies across sectors. It casts light on how big tech companies are innovating in the generative AI space to gain competitive advantage.Reasons to BuyNo surprise that technology has been a driving force in business transformation for years, but the term 'emerging technologies' has all of a sudden become the key catalyst to drive the next wave of innovation across sectorsThe sense of urgency weighs differently across different sectors, where the direct customer-facing sectors are at the forefront compared to other capital-intensive sectors. Companies in one sector can take cues from successful innovations in other sectors to either draw analogies with existing products, services, and processes or transfer strategic approaches for a revolutionary transformationAgainst this backdrop, enterprises need to understand which emerging technologies are impacting their sector and how various companies are implementing them to meet various challengesThe innovation landscape report on Big Tech innovations in generative AI, published by the publisher as part of an ongoing series, covers some real-world examples to advance the development and implementation of the technology by some of the key technology enterprises.Key Topics Covered:Big Tech generative AI race Evolution in generative AI (2014-2022) 3.Venture financing and acquisitions Focus areas Strategic partnerships Patent landscape Social media buzz Real-world innovations Outlook GlossaryA selection of companies mentioned in this report includes3MAdobeAI.ReverieAI21 LabsAibleAiva TechnologiesAlgorithmiaAlibaba.comAlphabetAmazonAmazon Web Services (AWS)AmdocsAnthropicAnyscaleAppleAT&TAudio AnalyticBaiduBending SpoonsBloomsbury AIBlutagBonsaiCiscoClarifaiCoginitiveScaleCognigyCohereCommerce.AI.DatabricksDataRobotDeepMindDeeptideDefinedCrowdd-MatrixDrawbridgeElaiEtisalatFaradayFashableFiddlerFlashpointFujitsuGeopipeGleanGoogleGraphcoreGretelHazyHuaweiHugging FaceIBMInsilico MedicineIntelJD.ComKaggleKX SystemsLadelboxLGLG CNSLobeMaluubaMatterportMetaMicrosoftMidjourneyMighty AIMitsubishi ElectricMitsuiNECNokiaNTTNuanceNvidiaOpenAIOrbital InsightOsmoPanasonicPhilipsQualcommReplitSalesforceSamsungSemantic MachinesShutterstockSnorkel AISonySorceroStability AISwiftkeySymbl.aiSynthesis AISyntiantTabnineTeslaToshibaTypefaceWand LabsWebexWeights & BiasesWit.aiFor more information about this report visit https://www.researchandmarkets.com/r/awta05Source: GlobalDataAbout ResearchAndMarkets.comResearchAndMarkets.com is the world's leading source for international market research reports and market data

Generative Artificial Intelligence (Ai) Powerplay Research Report 2023: Emerging Technologies Unleashed - How Big Tech Aims To Revolutionize Sectors

Recall.ai partners with Symbl.ai to add conversation intelligence to voice and video apps.

Recall.ai partners with Symbl.ai to add conversation intelligence to voice and video apps

Join top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. Learn More. WhyLabs, a Seattle-based startup that provides monitoring tools for AI and data applications, today announced the release of LangKit, an open-source technology that helps enterprises monitor and safeguard their large language models (LLMs). LangKit enables users to detect and prevent risks and issues in LLMs, such as toxic language, data leakage, hallucinations and jailbreaks.WhyLabs cofounder and CEO Alessya Visnjic told VentureBeat in an exclusive interview ahead of today’s launch that the product is designed to help enterprises monitor how their AI systems are functioning and catch problems before they affect customers or users.“LangKit is a culmination of the types of metrics that are critical to monitor for LLM models,” she said. “Essentially, what we have done is we’ve taken this wide range of popular metrics that our customers have been using to monitor LLMs, and we packaged them into LangKit.”Meeting rapidly evolving LLM standardsLangKit is built on two core principles: open sourcing and extensibility. Visnjic believes that by leveraging the open-source community and creating a highly extensible platform, WhyLabs can keep pace with the evolving AI landscape and accommodate diverse customer needs, particularly in industries such as healthcare and fintech, which have higher safety standards

Whylabs Launches Langkit To Make Large Language Models Safe And Responsible

Then, Symbl.ai introduced the groundbreaking Summarization API, enabling the generation of meeting summaries and short thematic summaries.

Elevating Human Performance with AI: The Best is Yet to Come

Check out all the on-demand sessions from the Intelligent Security Summit here. At their best, AI systems extend and augment the work we do, helping us to realize our goals. At their worst, they undermine them. We’ve all heard of high-profile instances of AI bias, like Amazon’s machine learning (ML) recruitment engine that discriminated against women or the racist results from Google Vision. These cases don’t just harm individuals; they work against their creators’ original intentions. Quite rightly, these examples attracted public outcry and, as a result, shaped perceptions of AI bias into something that is categorically bad and that we need to eliminate.While most people agree on the need to build high-trust, fair AI systems, taking all bias out of AI is unrealistic

We Need To Build Better Bias In Ai

AI platform for conversational intelligence

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AI platform for conversational intelligence

Symbl.ai

AI platform for conversational intelligence

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