AI-powered software

Technology

A category of software powered by artificial intelligence, discussed as being capable of reaching 100% accuracy even in highly regulated industries, rivaling the reliability of traditional deterministic software.


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8/22/2025, 1:38:23 AM

entitydetail.last_updated

8/22/2025, 1:41:26 AM

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8/22/2025, 1:41:26 AM

Summary

AI-powered software is a rapidly advancing technology that integrates artificial intelligence capabilities to perform tasks, analyze data, and make decisions across diverse industries. Companies like Perplexity AI exemplify its application in web search, synthesizing information using large language models and real-time web search while providing cited sources for transparency. This technology is also significantly impacting customer support by automating tasks, potentially leading to job displacement, and is being adopted in enterprise software to replace traditional systems, as demonstrated by companies like Klarna and 8090. The development and adoption of AI-powered software are influenced by broader economic factors, including interest rate decisions and the struggles within the venture capital market.

Referenced in 1 Document
Research Data
Extracted Attributes
  • Definition

    Technology or systems that incorporate artificial intelligence (AI) capabilities to perform tasks or make decisions typically requiring human intelligence.

  • Key Components

    Large Language Models (LLMs), Reasoning Models (e.g., OpenAI's o1 model), advanced algorithms, machine learning techniques.

  • Core Capabilities

    Analyzes vast amounts of data, identifies patterns, adapts behavior, comprehends/interprets/responds to complex inputs, natural language processing, speech recognition, image/video analysis, decision-making, code generation, bug detection, testing, predictive analytics, automating labor-intensive processes, making accurate predictions, recommending personalized actions, enhancing overall efficiency.

  • Economic Influence

    Development and adoption influenced by interest rate decisions and venture capital market struggles.

  • Impact on Customer Support

    Automating tasks previously handled by call centers, leading to significant job displacement.

  • Impact on Enterprise Software

    Replacing expensive incumbent Systems of Record, achieving high accuracy in highly regulated environments.

  • Impact on Software Development

    Automating routine tasks, generating code snippets/functions, speeding up development, reducing errors, improving software quality, assisting with project management and decision-making.

Timeline
  • Perplexity AI, Inc. was founded. (Source: Summary, Wikipedia)

    2022

  • The venture capital market experienced a bubble, leading to 'Vintage Distortion' and poor fund performance, influencing the broader economic landscape for AI development. (Source: Related Documents)

    2021

  • Perplexity AI was valued at US$18 billion. (Source: Summary, Wikipedia)

    2025-07-XX

Perplexity AI

Perplexity AI, Inc., or simply Perplexity, is an American privately held software company offering a web search engine that processes user queries and synthesizes responses. It uses large language models and incorporates real-time web search capabilities, enabling it to provide responses based on current Internet content. With a conversational approach, Perplexity allows users to ask follow-up questions and receive contextual answers. All responses include citations to their sources from the Internet to support transparency and allow users to verify information. A free public version is available, while a paid Pro subscription offers access to more advanced language models and additional features. Perplexity AI, Inc. was founded in 2022 by Aravind Srinivas, Denis Yarats, Johnny Ho, and Andy Konwinski. As of July 2025, the company was valued at US$18 billion. Perplexity AI has attracted legal scrutiny over allegations of copyright infringement, unauthorized content use, and trademark issues from several major media organizations, including the BBC, Dow Jones, and The New York Times.

Web Search Results
  • AI in Software Development - IBM

    No-code and low-code platforms democratize software development by allowing users to build AI-powered applications with features such as natural language processing (NLP), image recognition and predictive analytics using simple drag-and-drop tools. This removes the need for extensive coding or machine learning expertise. Nontechnical users, such as business analysts and product managers, can apply AI to solve business challenges, automate workflows or create experiences such as chatbots and [...] AI-powered tools can assist developers by automatically generating code snippets or entire functions, which significantly reduce development time. This automation allows developers to focus on higher-level tasks such as problem-solving and architectural design rather than code generation, bug detection and testing. ### Improved software quality [...] AI-powered tools assist developers by suggesting code or generating entire functions from natural language inputs, speeding up development by automating routine tasks. Tools such as IBM watsonx Code Assistantâ„¢, GitHub Autopilot and GitHub Copilot help developers write code faster and with fewer errors and can generate suggestions and autocomplete code.

  • What is AI-powered? - Microblink Glossary

    GlossaryImage 18 AI-powered AI-powered ========== AI-powered refers to technology or systems that incorporate artificial intelligence (AI) capabilities to perform tasks or make decisions typically requiring human intelligence. By leveraging advanced algorithms and machine learning techniques, AI-powered systems analyze vast amounts of data, identify patterns, and adapt their behavior to improve performance over time. [...] These systems can comprehend, interpret, and respond to complex inputs, enabling them to perform tasks such as natural language processing, speech recognition, image and video analysis, and decision-making. AI-powered solutions learn from historical data, enabling them to automate labor-intensive processes, make accurate predictions, recommend personalized actions, and enhance overall efficiency. AI-powered technologies are increasingly deployed across numerous domains such as healthcare,

  • AI in Software Development: Revolutionizing the Coding Landscape

    You can choose from many AI programs to improve and automate your software development. Three examples of AI for software development include: - OpenAI Codex: Codex is an AI software development program offered through OpenAI. You can access the program directly or use the API to integrate Codex into your code environment. - Amazon Q Developer: Q Developer is an AI-powered assistant offered by Amazon you can integrate into your coding environment to act as an expert chatbot assistant. [...] Using AI in software development can help you write code faster with fewer errors, reducing the time to market and lowering development costs. You can also use AI to help improve project management and decision-making by gaining access to insights from data. Below are several examples of how AI can power these improvements for your team: [...] - Increased efficiency and reduced time to market: AI software development programs help you write and develop code faster, shortening the time it takes your team to perform each step of development, reducing the time it takes to go to market, and ultimately reducing costs.

  • 90 Artificial Intelligence Examples Shaking Up Business Across ...

    Veritone is a software company that uses AI to power its analytics platforms, which take audio and video data and comb through it for insights. The company has AI software products for a wide range of industries, including public sector organizations, media and entertainment, and talent acquisition, each with specific needs and contexts. Its media software includes a media management tool that gleans insights from analyzing existing content and then delivers recommendations for content [...] Blueprint Test Prep is Hiring | View 1 Jobs []( []( []( 91 ### Consensus Cloud Solutions View Profile We are hiring Consensus Cloud Solutions provides organizations in regulated industries with its portfolio of secure software products. Its clients come from spaces like manufacturing, finance, insurance, real estate and healthcare. Its HIPAA-compliant, AI-powered solutions include direct messaging, querying patient records, collecting e-signatures and cloud faxing. [...] Accuris integrates engineering workflows with technical content and standards. Its AI-powered Engineering Workbench Professional solution offers natural language processing, machine learning, semantic research, document understanding and information retrieval so users can find the knowledge they need in seconds. It aims to enhance collaboration and communication in the engineering process by digitizing internal requirements and standards. Accuris is Hiring | View 19 Jobs []( []( []( 94

  • The best AI productivity tools in 2025 - Zapier

    A project management heavyweight, Asana adds a wide range of useful AI-powered features. Smart goals use historical data to come up with better goals for the quarter. It identifies project risks and workflow blockers, so you can tackle trouble before it happens. And it provides answers to anything related to your projects, helping you gain more visibility into what is (or isn't) happening.