AI Agents Marketplace

What is Regie.ai? Regie.ai is a prospecting agents AI agent offering AI sales agents that prospect, write sequences and run multichannel outreach. Founded in 2020 and based in San Francisco, California, USA, Regie.ai helps outbound sales teams automate prospecting agents work and get results faster. Key capabilities of Regie.ai AI prospecting agents Sequence writing Dialer Content library CRM sync Deal insights How Regie.ai works Regie.ai takes text and CRM data as input and produces email and text. 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 Regie.ai? Regie.ai is built for outbound sales teams. It suits teams that want AI prospecting agents and sequence writing without adding headcount, while keeping people in control of review and final decisions. Regie.ai vs 11x Regie.ai is often compared with 11x. Regie.ai stands out for AI prospecting agents and dialer. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is HappyDoc? HappyDoc is an AI scribe and assistant built for veterinary clinics. A vet records the appointment in the mobile app, and HappyDoc turns the conversation into a structured medical record within seconds, ready to export to the practice management system (PIMS). Key capabilities of HappyDoc SOAP notes: Generates clinical notes from exam recordings; the vendor cites 99.8% accuracy. Scout assistant: Summarizes patient history, answers questions, edits notes and builds custom templates. Dental charts: Produces dental charting from the recorded dental exam. Call capture: Records and documents phone consultations with pet owners. Practice insights: Analytics on revenue opportunities and care trends. Two-way PIMS sync: Native links to AVImark, Cornerstone, Impromed, Shepherd and Vetspire, plus a browser extension for other systems. Custom templates: About 200 configurable data points for building note templates. How HappyDoc works The user opens the mobile app, presses start, talks naturally with the client, then stops the recording. HappyDoc generates the note, which the vet can edit before exporting it to the PIMS. The vendor does not publish which AI models it uses. Who uses HappyDoc? Veterinary clinics and hospitals that want to cut time spent on charting. Pricing is per clinic with unlimited users and doctors, so a whole care team can use one subscription. HappyDoc pricing HappyDoc advertises plans starting at $119 per month for unlimited users and doctors, with pricing varying by clinic needs. All plans carry a 60-day money-back guarantee. No separate free trial is advertised. HappyDoc alternatives Veterinary-specific scribes compete on PIMS depth and price. ScribeHealth and Scribeberry are broader clinical scribes, while HappyDoc is built specifically around veterinary exams and PIMS sync.

What is Kinetix? Kinetix is an AI animation and emotes AI agent offering AI that turns videos into 3D animations and user-generated emotes for games. Founded in 2020 and based in Paris, France, Kinetix helps game studios and platforms automate AI animation and emotes work and get results faster. Key capabilities of Kinetix Video to 3D animation User-generated emotes Game SDK Animation library FBX and BVH export Retargeting How Kinetix works Kinetix takes video as input and produces 3D animations. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Blender, Maya, Unreal Engine and Unity, so the agent works inside existing workflows. Who uses Kinetix? Kinetix is built for game studios and platforms. It suits teams that want video to 3D animation and user-generated emotes without adding headcount, while keeping people in control of review and final decisions. Kinetix vs Plask Kinetix is often compared with Plask. Kinetix stands out for video to 3D animation and game SDK. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Paperguide? Paperguide is an academic research AI agent offering an AI research assistant for finding papers, reading with AI and writing literature reviews with citations. Paperguide helps students and researchers automate academic research work and get results faster. Key capabilities of Paperguide Paper discovery AI reading Literature reviews Reference manager Cited answers from papers Literature synthesis How Paperguide works Paperguide takes text and documents as input and produces text and citations. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as arXiv, PubMed, Zotero and Google Scholar, so the agent works inside existing workflows. Who uses Paperguide? Paperguide is built for students and researchers. It suits teams that want paper discovery and AI reading without adding headcount, while keeping people in control of review and final decisions. Paperguide vs Elicit Paperguide is often compared with Elicit. Paperguide stands out for paper discovery and literature reviews. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Invoca? Invoca is a data and AI platform that helps marketing, sales and contact center teams convert inbound leads into revenue by connecting online and offline customer touchpoints. It combines call tracking and attribution with conversation intelligence and AI agents. Key capabilities of Invoca Nico: AI revenue conversion agent that engages and qualifies leads over SMS and voice around the clock and books appointments AI Voice Agent: answers, qualifies and routes callers AI Messaging Agent: converts web and phone leads through SMS Call tracking and attribution: ties campaigns to revenue outcomes Context Engine: real-time buyer context for agents and teams Conversation intelligence: quality management, dashboards, reports and smart alerts How Invoca works Invoca tracks calls and interactions across channels and attributes them to campaigns. AI agents then answer or follow up with leads by voice or SMS, qualify them, and route or book them, while the Context Engine passes buyer context to human agents. Dashboards and alerts report performance per location. Who uses Invoca? Marketers and contact center and multi-location sales teams. Integrations include more than 200 apps through the Invoca Exchange. Invoca pricing Invoca does not publish prices. The vendor directs visitors to book a demo or pricing consultation. Invoca alternatives Marchex and Tethr also analyze calls, Modjo and Gong focus on sales conversation intelligence, and Chorus is a call recording tool. Invoca is distinct in tying calls to marketing attribution.

What is Amplitude AI? Amplitude AI is the set of AI agents and tools inside the Amplitude digital analytics platform. It lets teams ask product questions in plain language and run AI agents, AI Feedback and MCP access on top of analytics, session replay, experimentation and guides. Key capabilities of Amplitude AI AI Agents: Agents that work on analytics questions and insights Plain-language questions: Ask product questions without building charts AI Feedback: Analyzes customer feedback at scale MCP access: Connect external AI tools to Amplitude data Product analytics: Event-based analysis, cohorts and retention Session replay: 10K monthly replays on the free plan Experimentation and guides: A/B tests, guides and surveys on the same platform How Amplitude AI works Amplitude collects event data from your product, then agents and natural-language queries run analysis on it. Teams get answers, cohorts and insights without writing queries, and can feed the same data to other AI tools through MCP. Pricing is based on event volume. Who uses Amplitude AI? Product, growth and analytics teams. Amplitude also runs a Startup Scholarship giving qualifying companies a free Growth plan for one year. Amplitude AI pricing The Free plan includes 2M events per month with no credit card. Plus starts at $0 for the first 2M events and scales to 70M events. Growth and Enterprise use custom event-based pricing. Amplitude AI alternatives Alternatives include Tableau Agent for BI, Snowflake Cortex AI for warehouse-native AI and Pecan AI for predictive analytics. Amplitude centers on product behavior data.

What is EssayGrader? EssayGrader is an AI essay grading platform for K-12 teachers and higher-education instructors. It scores essays against custom or standards-aligned rubrics and produces detailed feedback reports on writing, grammar and content. Key capabilities of EssayGrader Bulk grading: Grades an entire class at once. Rubric library: 800+ rubrics plus custom rubrics. Feedback reports: Covers writing, grammar and content. AI and plagiarism checks: Included from the Pro plan. Multi-language grading: Spanish, French, Chinese, Japanese and more. Analytics dashboard: Tracks performance over time. Essay summarization: Summary tool for long submissions. How EssayGrader works Teachers upload essays or pull them from Google Classroom, Canvas, Schoology, Google Drive, Dropbox or Box, choose a rubric, and EssayGrader returns scores and feedback for each paper. The instructor reviews results before returning them to students. Who uses EssayGrader? Teachers, professors and districts. The vendor states FERPA, COPPA, CCPA, SOC-2 and NIST SP 800-53 alignment and signs Data Privacy Agreements with schools. EssayGrader pricing Basic is free with 100 essays per month and a 1,000 word limit. Lite is $6.99 per month, Pro is $14.99 per month with 350 essays and 3,500 words, and Premium is $34.99 per month with 800 essays and 8,000 words. District and higher-ed pricing is custom. EssayGrader alternatives Mindgrasp is a study and summarization tool, MagicSchool AI is a broad teacher assistant, and Conker generates quizzes. EssayGrader is focused on rubric-based grading.

What is Kiro? Kiro is a spec-driven development AI agent offering an agentic IDE from AWS that turns prompts into specs, designs and tasks before generating code. Founded in 2025 and based in Seattle, Washington, USA, Kiro helps developers and engineering teams automate spec-driven development work and get results faster. Key capabilities of Kiro Spec-driven development Agent hooks Task planning IDE with agent chat Repository context Pull request workflows How Kiro works Kiro takes text and code as input and produces code and documents. It is powered by Anthropic Claude models, with the vendor managing prompts, models and updates. It connects to tools such as GitHub, GitLab, VS Code and JetBrains, so the agent works inside existing workflows. Who uses Kiro? Kiro is built for developers and engineering teams. It suits teams that want spec-driven development and agent hooks without adding headcount, while keeping people in control of review and final decisions. Kiro vs Cursor Kiro is often compared with Cursor. Kiro stands out for spec-driven development and task planning. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Phind? Phind is a developer answer AI agent offering an AI answer engine and assistant tuned for developers and technical questions. Founded in 2022 and based in San Francisco, California, USA, Phind helps developers automate developer answer work and get results faster. Key capabilities of Phind Developer search Code generation Debugging help Visual answers Repository context Pull request workflows How Phind works Phind takes text and code as input and produces text and code. It is powered by Phind and frontier models models, with the vendor managing prompts, models and updates. It connects to tools such as GitHub, GitLab, VS Code and JetBrains, so the agent works inside existing workflows. Who uses Phind? Phind is built for developers. It suits teams that want developer search and code generation without adding headcount, while keeping people in control of review and final decisions. Phind vs Perplexity Phind is often compared with Perplexity. Phind stands out for developer search and debugging help. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Continue? Continue is an open-source code assistant AI agent offering an open-source AI code assistant and CLI you configure with any model. Founded in 2023 and based in San Francisco, California, USA, Continue helps developers who want control over models automate open-source code assistant work and get results faster. Key capabilities of Continue Autocomplete Chat and inline edits Custom agents Bring your own model Repository context Pull request workflows How Continue works Continue takes text and code as input and produces code. It is powered by Any LLM (selectable) models, with the vendor managing prompts, models and updates. It connects to tools such as GitHub, GitLab, VS Code and JetBrains, so the agent works inside existing workflows. Who uses Continue? Continue is built for developers who want control over models. It suits teams that want autocomplete and chat and inline edits without adding headcount, while keeping people in control of review and final decisions. Continue vs GitHub Copilot Continue is often compared with GitHub Copilot. Continue stands out for autocomplete and custom agents. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Drishti? Drishti is a manual assembly analytics AI agent offering AI video analytics that measure and improve manual assembly line operations. Founded in 2016 and based in Mountain View, California, USA, Drishti helps automotive and electronics manufacturers automate manual assembly analytics work and get results faster. Key capabilities of Drishti Cycle time analytics Process traceability Line balancing Root cause video search Time series analytics Root cause insights How Drishti works Drishti takes video as input and produces insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as OSIsoft PI, Siemens, Rockwell Automation and SAP, so the agent works inside existing workflows. Who uses Drishti? Drishti is built for automotive and electronics manufacturers. It suits teams that want cycle time analytics and process traceability without adding headcount, while keeping people in control of review and final decisions. Drishti vs Invisible AI Drishti is often compared with Invisible AI. Drishti stands out for cycle time analytics and line balancing. The right choice depends on your workflow, integrations and budget, so compare both on a real task.