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1,943 Listings in AI Agents Available
What is Wonderchat? Wonderchat is a customer support chatbot AI agent offering an AI support chatbot that answers customer questions from your website and documents. Founded in 2023 and based in Singapore, Wonderchat helps SMBs and support teams automate customer support chatbot work and get results faster. Key capabilities of Wonderchat Answers from your content Lead capture Live agent handoff Multilingual replies Multilingual support Human handoff How Wonderchat works Wonderchat takes text, URL and documents as input and produces text. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Zendesk, Intercom, Freshdesk and Salesforce Service Cloud, so the agent works inside existing workflows. Who uses Wonderchat? Wonderchat is built for SMBs and support teams. It suits teams that want answers from your content and lead capture without adding headcount, while keeping people in control of review and final decisions. Wonderchat vs Chatbase Wonderchat is often compared with Chatbase. Wonderchat stands out for answers from your content and live agent handoff. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is HostBuddy AI? HostBuddy AI is an AI guest messaging assistant for short-term rental hosts and property managers. It answers guest questions across the rental channels connected to a property management system and can run in copilot mode, drafting replies for approval, or autopilot, sending them directly. Key capabilities of HostBuddy AI Automated guest replies: Answers guest messages around the clock using property details. Copilot mode: Drafts replies that the host approves before sending. Autopilot mode: Sends replies automatically once the host trusts the answers. Issue escalation: Flags problem messages for a human to handle. PMS connections: Works through property management systems such as Hostaway, Guesty, OwnerRez, Hospitable, Hostify, Beds24 and Smoobu. Review management: Helps with guest review handling, per the vendor listing. How HostBuddy AI works HostBuddy connects to the host PMS, reads incoming guest messages and property information, and writes a reply. Hosts can begin with AI-drafted replies and move to fully autonomous messaging as confidence grows. Risky or unclear messages are flagged for the host. Model details are not published. Who uses HostBuddy AI? Independent short-term rental hosts and small to mid-size property managers who spend hours answering repetitive guest questions. Per-property pricing suits portfolios that scale up or down. HostBuddy AI pricing Third-party listings report HostBuddy AI at $7 per property per month for Pro, $10 for Elite and $12 for Ultimate, with a two-week free trial. These figures come from review sites rather than the vendor homepage, which did not load for us. HostBuddy AI alternatives Hostaway and Guesty are property management systems with built-in messaging, whereas HostBuddy AI sits on top of them as a dedicated AI layer. Jurny is a broader operator platform.
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What is Unit8? Unit8 is a Swiss data and AI services company headquartered in Lausanne that helps traditional enterprises turn data into value. It maintains the open-source Darts forecasting library. Key capabilities of Unit8 Consulting: Data and AI strategy Solutions: Custom implementations Data platforms: Infrastructure builds MLOps: Platform operations Generative AI services: Application development Darts: Open-source forecasting library How Unit8 works Unit8 teams work with clients on strategy, build solutions and platforms and operate them, using tools such as Darts for time-series forecasting. Who uses Unit8? Enterprises such as Merck, Swiss Re, Daimler, Firmenich, Helvetia and Julius Baer, with offices in Switzerland, Germany, Poland and the USA. Unit8 pricing Unit8 does not publish prices. Darts is open source and free. Unit8 alternatives Alternatives include Nixtla for forecasting and Akkio and Pecan AI for predictive analytics.
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What is Foodvisor? Foodvisor is a nutrition AI agent offering an AI nutrition app that recognizes meals from photos and coaches users toward health goals. Based in Paris, France, Foodvisor helps people tracking diet and weight automate nutrition work and get results faster. Key capabilities of Foodvisor Photo food recognition Calorie and macro tracking Personalized programs Dietitian coaching Adaptive training plans Performance insights How Foodvisor works Foodvisor takes images and text as input and produces nutrition data and plans. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Garmin, Strava, Apple Health and Google Fit, so the agent works inside existing workflows. Who uses Foodvisor? Foodvisor is built for people tracking diet and weight. It suits teams that want photo food recognition and calorie and macro tracking without adding headcount, while keeping people in control of review and final decisions. Foodvisor vs Cal AI Foodvisor is often compared with Cal AI. Foodvisor stands out for photo food recognition and personalized programs. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Kumo? Kumo is a relational deep learning AI agent offering an AI platform that uses graph neural networks to make predictions directly on relational data warehouses. Founded in 2021 and based in Mountain View, California, USA, Kumo helps data science teams at large companies automate relational deep learning work and get results faster. Key capabilities of Kumo Graph neural networks Predictive query language No feature engineering Warehouse-native No-code model building Explainable predictions How Kumo works Kumo takes tabular data as input and produces predictions. It is powered by Kumo relational foundation model models, with the vendor managing prompts, models and updates. It connects to tools such as Snowflake, BigQuery, Databricks and Salesforce, so the agent works inside existing workflows. Who uses Kumo? Kumo is built for data science teams at large companies. It suits teams that want graph neural networks and predictive query language without adding headcount, while keeping people in control of review and final decisions. Kumo vs DataRobot Kumo is often compared with DataRobot. Kumo stands out for graph neural networks and no feature engineering. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is HireVue? HireVue is a hiring assessments AI agent offering an AI hiring platform with video interviews, AI interviewer, assessments and scheduling. Founded in 2004 and based in South Jordan, Utah, USA, HireVue helps enterprise employers automate hiring assessments work and get results faster. Key capabilities of HireVue Video interviews AI interviewer Skill assessments Interview scheduling ATS integration Diversity insights How HireVue works HireVue takes video and text as input and produces scores and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Greenhouse, Lever, Workday and LinkedIn, so the agent works inside existing workflows. Who uses HireVue? HireVue is built for enterprise employers. It suits teams that want video interviews and AI interviewer without adding headcount, while keeping people in control of review and final decisions. HireVue vs Sapia.ai HireVue is often compared with Sapia.ai. HireVue stands out for video interviews and skill assessments. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Valohai? Valohai is a ML pipelines AI agent offering an MLOps platform for running reproducible ML pipelines on any cloud or on-premises. Founded in 2016 and based in Turku, Finland, Valohai helps ML teams automate ML pipelines work and get results faster. Key capabilities of Valohai Reproducible pipelines Hybrid compute Experiment versioning Deployment Model registry Open-source integrations How Valohai works Valohai takes code and data as input and produces pipelines and models. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Python, Kubernetes, AWS and Google Cloud, so the agent works inside existing workflows. Who uses Valohai? Valohai is built for ML teams. It suits teams that want reproducible pipelines and hybrid compute without adding headcount, while keeping people in control of review and final decisions. Valohai vs ClearML Valohai is often compared with ClearML. Valohai stands out for reproducible pipelines and experiment versioning. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Leadbay? Leadbay is an AI lead scoring AI agent offering AI that learns from your wins to find and prioritize lookalike leads for SMB sales teams. Founded in 2021 and based in Paris, France, Leadbay helps SMB sales teams in Europe automate AI lead scoring work and get results faster. Key capabilities of Leadbay Lookalike lead discovery AI lead scoring CRM enrichment Territory insights CRM sync Signal alerts How Leadbay works Leadbay takes CRM data and company data as input and produces leads and scores. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, HubSpot, LinkedIn and Gmail, so the agent works inside existing workflows. Who uses Leadbay? Leadbay is built for SMB sales teams in Europe. It suits teams that want lookalike lead discovery and AI lead scoring without adding headcount, while keeping people in control of review and final decisions. Leadbay vs Keyplay Leadbay is often compared with Keyplay. Leadbay stands out for lookalike lead discovery and CRM enrichment. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Read AI? Read AI is a meetings, email and messages AI agent offering an AI copilot for meetings, email and messages with summaries and engagement metrics. Founded in 2021 and based in Seattle, Washington, USA, Read AI helps professionals and teams automate meetings, email and messages work and get results faster. Key capabilities of Read AI Meeting summaries Engagement and sentiment metrics Email and message digests Search copilot Action item extraction Multilingual transcription How Read AI works Read AI takes audio, video and email as input and produces text and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Zoom, Google Meet, Microsoft Teams and Slack, so the agent works inside existing workflows. Who uses Read AI? Read AI is built for professionals and teams. It suits teams that want meeting summaries and engagement and sentiment metrics without adding headcount, while keeping people in control of review and final decisions. Read AI vs Otter.ai Read AI is often compared with Otter.ai. Read AI stands out for meeting summaries and email and message digests. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Snyk DeepCode AI? Snyk DeepCode AI is the AI engine behind Snyk's application security platform. It combines symbolic and generative AI to find, prioritize and fix vulnerabilities in code, including AI-generated code. Key capabilities of Snyk DeepCode AI Hybrid AI scanning: symbolic and generative AI with researcher expertise Agent Fix: security autofixes, vendor-stated 85% accurate Risk-based prioritization: weighs popularity, reachability and exploit maturity DeepCode AI Search: custom detection rules with autocomplete IDE plugins: real-time scanning and fixing Language coverage: 19+ languages and 25M+ data flow cases How Snyk DeepCode AI works DeepCode AI scans code in the IDE, CLI and source control, proposes fixes through Agent Fix and prioritizes by reachability and exploit maturity. The vendor says it trains only on permissively licensed open-source projects with verified fixes, never customer data. Who uses Snyk DeepCode AI? Developers and security teams that want fixes in their workflow. Enterprise deployment is offered across multiple regional data centers. Snyk DeepCode AI pricing Snyk Free is $0 with up to 5 projects and 100 SAST tests per month. Team starts at $25 per month with up to 100 projects and 1,000 SAST tests. Enterprise is credit-based where 1 credit equals $1. Snyk DeepCode AI alternatives Ellipsis and GitLab Duo provide AI code review, Sentry Seer debugs production errors, and Postman Postbot and v0 by Vercel serve other developer workflows.
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What is Extruct AI? Extruct AI is a company research AI agent offering an AI research agent that builds and enriches company lists with custom web research at scale. Extruct AI helps B2B sales and investment teams automate company research work and get results faster. Key capabilities of Extruct AI Company list building Custom research columns Lookalike search CRM export Account research CRM enrichment How Extruct AI works Extruct AI takes text and web as input and produces data and lists. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, HubSpot, LinkedIn and Google Sheets, so the agent works inside existing workflows. Who uses Extruct AI? Extruct AI is built for B2B sales and investment teams. It suits teams that want company list building and custom research columns without adding headcount, while keeping people in control of review and final decisions. Extruct AI vs Clay Extruct AI is often compared with Clay. Extruct AI stands out for company list building and lookalike search. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is OpenRead? OpenRead is an AI-powered research platform that helps users discover, analyze and manage academic papers. It combines paper search, question answering, cross-paper comparison and note-taking in one workspace. Key capabilities of OpenRead AI paper search: papers from 20,000+ journals, updated every 5 minutes Paper Q&A: ask questions about a paper Paper comparison: compare findings across papers to spot contradictions Oat chat: OpenRead AI Technology chat with top-tier models and diagram drawing Trending papers: discover popular work in your field Notes: organize research with integrated note-taking How OpenRead works You search the paper index, open a paper and ask questions about it, or select several papers to compare findings and contradictions. Oat, the chat interface, supports homework help, diagram drawing and image editing with top-tier models. Notes live alongside the papers so reading and writing stay in one place. Who uses OpenRead? OpenRead is aimed at researchers and students who read many papers and want help summarizing and comparing them. It maintains a free tier and a Pro tier. OpenRead pricing OpenRead offers Free and Pro tiers. Pro pricing was not available from the pages reviewed, so see the vendor pricing page for the current monthly or annual rate. OpenRead alternatives Alternatives include Humata for document Q&A, Litmaps for citation mapping and literature discovery, and Explainpaper for explaining highlighted text.
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