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1,943 Listings in AI Agents Available
What is RunSybil? RunSybil is an AI-native offensive security platform that continuously tests applications and infrastructure for exploitable vulnerabilities. It uses adversarial reasoning to mimic how elite security researchers work. Key capabilities of RunSybil Stack mapping: Code, APIs, cloud and infrastructure. Continuous testing: Feedback on every deployment and pull request. Attack-path chaining: Links vulnerabilities across systems. Real-time re-evaluation: Tracks attack surface changes. Business logic validation: Multi-tenant testing. Bug bounty and pentest replacement: Use case listed by vendor. How RunSybil works Instead of a 30-plus day pentest cycle, RunSybil runs a continuous find-fix loop aligned with development speed. It reasons about how components interact and chains findings into attack paths rather than reporting signature matches. Who uses RunSybil? Security and engineering teams. Named customers are Notion, Cursor, Baseten and Carta. RunSybil pricing RunSybil does not publish pricing on its homepage. RunSybil alternatives Lasso Security focuses on LLM security, Console is an IT and security help automation tool, and Crogl automates security investigation. RunSybil specializes in offensive testing.
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What is Kenect? Kenect is an AI-powered platform that consolidates customer conversations for dealerships across text, web chat and other channels. It serves automotive, RV, powersports, marine and other local businesses. Key capabilities of Kenect Messaging: Text messaging, WebChat and broadcast messaging Engage AI: 24/7 conversational AI for customers Voice AI: AI receptionist for calls AI scheduling: Automated service scheduling and reminders Reputation management: Reviews, private feedback and responses Text-to-pay: Payments and pay-over-time options Recall campaigns: Manages recall outreach How Kenect works Customers text or chat with the dealership, and Kenect's AI replies at any hour, schedules service and responds to leads. Calls can be answered by an AI receptionist. Messages sync with the dealership's DMS. Who uses Kenect? Dealerships and local businesses. Brands such as Honda and Harley-Davidson dealers are cited, with claims of a 23 percent monthly service revenue increase and 90 minutes saved per employee per day. Kenect pricing Kenect does not disclose pricing on this page. Kenect alternatives Alternatives include Podium for messaging and reviews, Impel for automotive AI, and Birdeye for reputation and messaging.
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What is Backflip AI? Backflip AI is a scan to CAD AI agent offering an AI tool that converts 3D scans and meshes into editable parametric CAD models. Backflip AI helps engineers and manufacturers automate scan to CAD work and get results faster. Key capabilities of Backflip AI Scan to CAD Mesh to parametric Reverse engineering CAD export Fast physics predictions CAD generation How Backflip AI works Backflip AI takes 3D models as input and produces CAD. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as SolidWorks, Onshape, Fusion 360 and Ansys, so the agent works inside existing workflows. Who uses Backflip AI? Backflip AI is built for engineers and manufacturers. It suits teams that want scan to CAD and mesh to parametric without adding headcount, while keeping people in control of review and final decisions. Backflip AI vs Zoo Backflip AI is often compared with Zoo. Backflip AI stands out for scan to CAD and reverse engineering. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Mindy? Mindy is an email-native assistant AI agent offering an AI assistant that works entirely by email, handling research, scheduling and tasks you send it. Mindy helps professionals automate email-native assistant work and get results faster. Key capabilities of Mindy Email-based tasks Web research Scheduling help Daily briefs Natural language reminders Reply drafting How Mindy works Mindy takes email 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 Gmail, Outlook, Google Calendar and WhatsApp, so the agent works inside existing workflows. Who uses Mindy? Mindy is built for professionals. It suits teams that want email-based tasks and web research without adding headcount, while keeping people in control of review and final decisions. Mindy vs Lindy Mindy is often compared with Lindy. Mindy stands out for email-based tasks and scheduling help. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Daydream? Daydream is a fashion shopping AI agent offering an AI shopping agent that helps people find fashion across thousands of brands through conversation. Founded in 2023 and based in San Francisco, California, USA, Daydream helps online fashion shoppers automate AI fashion shopping work and get results faster. Key capabilities of Daydream Conversational search Style understanding Cross-brand results Outfit ideas Real-time personalization Merchandising insights How Daydream works Daydream takes text and image as input and produces text and product results. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Shopify, Salesforce Commerce Cloud, Magento and BigCommerce, so the agent works inside existing workflows. Who uses Daydream? Daydream is built for online fashion shoppers. It suits teams that want conversational search and style understanding without adding headcount, while keeping people in control of review and final decisions. Daydream vs Perplexity Shopping Daydream is often compared with Perplexity Shopping. Daydream stands out for conversational search and cross-brand results. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is BenchSci? BenchSci is a preclinical research AI AI agent offering an AI platform that maps biological evidence to help scientists design better preclinical experiments. Founded in 2015 and based in Toronto, Ontario, Canada, BenchSci helps pharma preclinical scientists automate preclinical research AI work and get results faster. Key capabilities of BenchSci Biological evidence mapping Experiment planning Reagent intelligence Disease mechanism insights Evidence-linked outputs Scientific data integration How BenchSci works BenchSci takes scientific literature and data 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 Benchling, Veeva, Medidata and AWS, so the agent works inside existing workflows. Who uses BenchSci? BenchSci is built for pharma preclinical scientists. It suits teams that want biological evidence mapping and experiment planning without adding headcount, while keeping people in control of review and final decisions. BenchSci vs Causaly BenchSci is often compared with Causaly. BenchSci stands out for biological evidence mapping and reagent intelligence. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Smartwriter? Smartwriter is an AI platform that automates personalized cold email writing and outreach. It researches prospects and builds contextual emails and icebreakers from social activity, company information and news mentions. Key capabilities of Smartwriter Personalized cold emails: hyper-personalized messages based on prospect data Icebreakers: first lines from social activity, recommendations and achievements Lead research: finds social profiles and verified email addresses Lead lists: builds targeted lists in specific niches Backlink outreach: automates SEO backlink outreach Bulk CSV upload: processes prospect lists in bulk How Smartwriter works You provide prospects through a CSV or a lead search. Smartwriter researches their profiles, company information and news, then writes personalized emails and first lines for each. The vendor markets this as 40x faster and 6x cheaper than doing it by hand. Related tools include AIDA copywriting templates, Instagram comment generation and Quora responses. Who uses Smartwriter? Sales teams, agencies and SEO professionals running outreach use it. The vendor reports 12,218+ companies, a 4.8 out of 5 Trustpilot rating and named users such as Stripe, Facebook and Uber, which are vendor-stated claims. Smartwriter pricing Smartwriter offers a 7-day free trial with no credit card required. Paid tier prices are on a separate pricing page that we could not read, so no dollar amounts are listed here. Smartwriter alternatives Alternatives include Nureply for cold email outreach, Mailmodo for interactive email marketing, Shortwave for AI email inbox management, and SaneBox for email filtering.
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What is Inventive AI? Inventive AI is a RFP response AI AI agent offering an AI RFP and security questionnaire platform that drafts accurate answers from company knowledge. Inventive AI helps proposal and sales teams automate RFP response AI work and get results faster. Key capabilities of Inventive AI AI answer drafting Knowledge base sync Content gap detection Collaboration Source-cited answers Reviewer workflows How Inventive AI works Inventive AI takes documents and text as input and produces text and documents. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, Google Drive, SharePoint and Slack, so the agent works inside existing workflows. Who uses Inventive AI? Inventive AI is built for proposal and sales teams. It suits teams that want AI answer drafting and knowledge base sync without adding headcount, while keeping people in control of review and final decisions. Inventive AI vs Loopio Inventive AI is often compared with Loopio. Inventive AI stands out for AI answer drafting and content gap detection. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Blackbox AI? Blackbox AI is an inference platform that gives access to 300+ open and closed models through a unified endpoint, alongside coding agents. The company emphasizes end-to-end encryption and zero data retention. Key capabilities of Blackbox AI Blackbox Router: A gateway to 300+ models through one endpoint Enterprise Inference: Dedicated single-tenant deployment with reserved capacity Agents API: Cloud coding agents that create runs, stream logs and open pull requests Command line: An agentic terminal that follows repository conventions Per-token pricing: No platform fees or seat charges Enterprise controls: SAML SSO, RBAC, audit logs and data residency How Blackbox AI works Developers send requests to a single endpoint and choose from hundreds of models, paying per token. The Agents API runs coding agents in the cloud, streams their logs and opens pull requests, while the command line tool runs an agent in the terminal against a repository. Enterprise customers get single-tenant deployments with reserved capacity and a forward-deployed engineer. Who uses Blackbox AI? Developers and engineering teams who want model choice behind one API, and enterprises needing dedicated capacity, SSO and data residency. The product also has a coding assistant lineage used inside editors such as VS Code. Blackbox AI pricing Blackbox publishes per-token rates that vary by model, for example $0.30 input and $1.20 output per 1M tokens for one listed model, with no platform or seat fees. Committed annual spend unlocks discounts of 5 percent on closed models and 10 percent on open models. Enterprise is custom priced. Blackbox AI alternatives Alternatives include OpenRouter for a multi-model gateway, GitHub Copilot for editor-based coding help, and Cursor for an AI-first code editor.
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What is Dealfront? Dealfront is a web visitor identification AI agent offering a go-to-market platform for European companies combining web visitor ID and B2B data. Founded in 2021 and based in Karlsruhe, Germany, Dealfront helps European B2B sales and marketing automate web visitor identification work and get results faster. Key capabilities of Dealfront Website visitor identification European B2B database Intent signals CRM integration CRM enrichment Buying signals How Dealfront works Dealfront takes website traffic and search filters as input and produces company data and leads. 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 Outreach, so the agent works inside existing workflows. Who uses Dealfront? Dealfront is built for European B2B sales and marketing. It suits teams that want website visitor identification and European B2B database without adding headcount, while keeping people in control of review and final decisions. Dealfront vs Leadfeeder Dealfront is often compared with Leadfeeder. Dealfront stands out for website visitor identification and intent signals. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Gemini Code Assist? Gemini Code Assist is Google's AI coding assistant powered by Gemini models. It provides code completion, chat, agentic edits and code transformation in IDEs, GitHub and Google Cloud, with editions for individuals, teams and enterprises. Key capabilities of Gemini Code Assist Code completion: Inline suggestions while you type. Code chat: Ask questions about code in the IDE. Agentic edits: Agent mode makes multi-step changes across files. Code transformation: Assist with refactoring and migration tasks. Large-context reasoning: Works with larger context for bigger codebases. How Gemini Code Assist works Developers install the plugin in VS Code or a JetBrains IDE, or enable the GitHub app, and the assistant uses Gemini models to complete code, answer questions and apply multi-step edits. Enterprise editions add codebase customization and organization controls. Who uses Gemini Code Assist? Individual developers use the free tier, while teams and enterprises on Google Cloud use the Standard and Enterprise editions. Gemini Code Assist pricing The individual edition is free. Standard is listed at $19 per user per month and Enterprise at $45 per user per month in existing listing data; these reflect annual commitments reported by third parties and Google lists current rates on its site. Gemini Code Assist alternatives GitHub Copilot is the most widely adopted assistant, Continue is an open-source assistant that works with many models, and Devin is an autonomous software agent. Gemini Code Assist is distinguished by its tie to Google Cloud.
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What is Lifesight? Lifesight is a unified marketing measurement AI agent offering a marketing measurement platform combining MMM, incrementality testing and attribution with AI. Founded in 2018 and based in Singapore, Lifesight helps e-commerce and consumer brands automate unified marketing measurement work and get results faster. Key capabilities of Lifesight Marketing mix modeling Incrementality tests Multi-touch attribution Budget optimization Real-time decisioning Attribution and reporting How Lifesight works Lifesight takes marketing data as input and produces insights and forecasts. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, Google Ads, Meta Ads and Snowflake, so the agent works inside existing workflows. Who uses Lifesight? Lifesight is built for e-commerce and consumer brands. It suits teams that want marketing mix modeling and incrementality tests without adding headcount, while keeping people in control of review and final decisions. Lifesight vs Northbeam Lifesight is often compared with Northbeam. Lifesight stands out for marketing mix modeling and multi-touch attribution. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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