Get a recommendation
Tell us your requirements and our advisors will help you compare and shortlist the best-fit options, free and unbiased.
A real human, fast
Someone on our team replies within one business day, no bots, no ticket queue.
Routed to the right team
Buying, selling, partnering, or investing, you reach the people who can actually help.
Independent & unbiased
No pushy sales. Just honest guidance grounded in the ecosystem.
Tailored to your context
Tell us what you need and we shape the next steps around it.
Who are you? Pick the option that fits best.
1,943 Listings in AI Agents Available
What is Fero Labs? Fero Labs is an explainable industrial ML AI agent offering explainable machine learning software that helps engineers optimize steel, chemical and process production. Founded in 2015 and based in New York, New York, USA, Fero Labs helps steel, chemical and process manufacturers automate explainable industrial ML work and get results faster. Key capabilities of Fero Labs Explainable ML models Recipe optimization Quality prediction Engineer-friendly UI Time series analytics Root cause insights How Fero Labs works Fero Labs takes process data as input and produces recommendations. 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 Fero Labs? Fero Labs is built for steel, chemical and process manufacturers. It suits teams that want explainable ML models and recipe optimization without adding headcount, while keeping people in control of review and final decisions. Fero Labs vs Oden Technologies Fero Labs is often compared with Oden Technologies. Fero Labs stands out for explainable ML models and quality prediction. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
Capabilities
Deployment
Compliance
What is FastGPT? FastGPT is an open-source RAG (retrieval-augmented generation) platform for building AI agents, available as a cloud service and for self-hosting. Key capabilities of FastGPT Visual workflow builder: Build agents by stacking blocks without code. Hybrid retrieval: Combines retrieval methods to reduce hallucinations. Knowledge base: Auto-cleansing and live data updates across multiple document formats. Multi-model support: Use several models with debugging and auditing. Enterprise controls: SSO, RBAC and compliance features. How FastGPT works You assemble agents visually by stacking blocks, connect enterprise data sources into a knowledge base and choose a model. Hybrid retrieval pulls grounded context for answers, and debugging tools help audit runs. Use cases named by the vendor include sales assistance, customer service and expense review automation. The community edition is open source and enterprise plans are cloud or self-hosted. Who uses FastGPT? Developers and enterprises building knowledge-based assistants. The vendor reports 1,000+ enterprise users, 28,000+ GitHub stars and deployments in finance, HR, operations and sales. FastGPT pricing The open-source community version is free. Cloud-hosted and self-hosted enterprise plans exist, but specific prices were not displayed on the site. FastGPT alternatives Dante AI and Chaindesk build chatbots from your content, Coze is a hosted no-code agent builder, and Typebot builds conversational forms.
Capabilities
Deployment
Compliance
What is Arcads? Arcads is an UGC video ads AI agent offering an AI tool that generates UGC-style video ads with realistic AI actors from a script. Founded in 2023 and based in Paris, France, Arcads helps performance marketers and DTC brands automate UGC video ads work and get results faster. Key capabilities of Arcads AI actors Script-to-ad Multilingual ads Rapid creative testing Auto-resize for social Brand templates How Arcads works Arcads takes text as input and produces video. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as YouTube, TikTok, Instagram and LinkedIn, so the agent works inside existing workflows. Who uses Arcads? Arcads is built for performance marketers and DTC brands. It suits teams that want AI actors and script-to-ad without adding headcount, while keeping people in control of review and final decisions. Arcads vs Creatify Arcads is often compared with Creatify. Arcads stands out for AI actors and multilingual ads. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
Deployment
Compliance
What is Profet AI? Profet AI is a manufacturing AutoML AI agent offering an AutoML platform that lets factory engineers build AI models for yield, quality and process optimization. Based in Taiwan, Profet AI helps semiconductor and electronics manufacturers automate manufacturing AutoML work and get results faster. Key capabilities of Profet AI AutoML modeling Yield prediction Root cause analysis Process optimization No-code model building How Profet AI works Profet AI takes data as input and produces predictions 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 MES systems, SCADA, Databases and Excel, so the agent works inside existing workflows. Who uses Profet AI? Profet AI is built for semiconductor and electronics manufacturers. It suits teams that want AutoML modeling and yield prediction without adding headcount, while keeping people in control of review and final decisions. Profet AI vs DataRobot Profet AI is often compared with DataRobot. Profet AI stands out for AutoML modeling and root cause analysis. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
Deployment
Compliance
What is Taplio? Taplio is a LinkedIn growth AI agent offering an AI tool for LinkedIn content creation, scheduling, engagement and lead search. Taplio helps creators, founders and consultants automate LinkedIn growth work and get results faster. Key capabilities of Taplio AI post generation Viral post library Scheduling Lead database Content calendar Engagement analytics How Taplio works Taplio takes text as input and produces posts 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 LinkedIn, X (Twitter), Instagram and Facebook, so the agent works inside existing workflows. Who uses Taplio? Taplio is built for creators, founders and consultants. It suits teams that want AI post generation and viral post library without adding headcount, while keeping people in control of review and final decisions. Taplio vs Supergrow Taplio is often compared with Supergrow. Taplio stands out for AI post generation and scheduling. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
Deployment
Compliance
What is Leni? Leni is an AI automation platform for real estate firms and investment teams, described as an AI automation platform for real assets. It uses an agentic architecture to automate high-stakes work. Clients include Bozzuto, Greystar, CBRE, Colliers, Oxford Properties and Kayne Anderson. Key capabilities of Leni Routed-Knowledge Graph: patent-pending method to understand organizational context Model agnostic routing: sends work to Claude, GPT or Gemini Verification layers: context management, error handling and human approval workflows Runtime containerization: models run with guardrails to protect sensitive data Private context graph: keeps institutional memory as structured decision traces Property system connections: Entrata, ResMan, RealPage and AppFolio How Leni works Leni connects to property management systems and internal documents, builds a private context graph and routes each task to a suitable model. Outputs pass verification layers and can require human approval. The vendor cites 91.25% on SpreadsheetBench and 88.6% on GAIA. Who uses Leni? Multifamily operators, brokerages and investors use Leni for portfolio and operations work. Benchmark scores are vendor-reported. Leni pricing Leni does not display pricing. Contact the vendor for a quote. Leni alternatives Leni is compared with EliseAI, Zuma and HouseCanary. EliseAI automates leasing conversations, and HouseCanary provides valuation analytics.
Capabilities
Deployment
Compliance
What is Annalise.ai? Annalise.ai is a comprehensive radiology AI AI agent offering AI that detects a broad range of findings on chest X-rays and head CT to support radiologists. Founded in 2019 and based in Sydney, Australia, Annalise.ai helps radiology practices and hospitals automate comprehensive radiology AI work and get results faster. Key capabilities of Annalise.ai 124-finding chest X-ray AI Head CT triage Worklist prioritization PACS integration Regulatory-cleared algorithms How Annalise.ai works Annalise.ai takes image as input and produces insights and image. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as PACS, Epic, DICOM and HL7 FHIR, so the agent works inside existing workflows. Who uses Annalise.ai? Annalise.ai is built for radiology practices and hospitals. It suits teams that want 124-finding chest X-ray AI and head CT triage without adding headcount, while keeping people in control of review and final decisions. Annalise.ai vs Gleamer Annalise.ai is often compared with Gleamer. Annalise.ai stands out for 124-finding chest X-ray AI and worklist prioritization. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
Capabilities
Deployment
Compliance
What is Sweep? Sweep is an AI coding assistant built as a native plugin for JetBrains IDEs such as IntelliJ IDEA, PyCharm, GoLand and WebStorm. It began as a tool that turned GitHub issues into pull requests and now centers on in-editor assistance. Key capabilities of Sweep Next-edit autocomplete: Predicts the next change in your code, not only the next token. Chat and code generation: Ask questions and generate code with codebase context. Agent tasks: Multi-step assistance within the JetBrains IDE. JetBrains-native design: Works inside IntelliJ IDEA, PyCharm, GoLand, WebStorm and others. API credits: Chat and advanced features draw on monthly credits. How Sweep works You install the plugin from within a JetBrains IDE. Sweep reads the open code and project context, shows autocomplete suggestions as you type and handles chat or agent requests using API credits. The trial includes 1,000 autocompletes and $5 of API credits. Who uses Sweep? Developers who work primarily in JetBrains IDEs and want an assistant that fits the IDE's own conventions use it. It is less relevant for teams standardized on VS Code. Sweep pricing A free trial includes 1,000 autocompletes and $5 in API credits. Third-party sources report Basic at $10 per month with unlimited autocomplete, Pro at $20 per month and Ultra at $60 per month with more API credits. Sweep alternatives JetBrains AI Assistant is the first-party option, GitHub Copilot works across many IDEs including JetBrains, and Windsurf offers a JetBrains plugin alongside its own editor. Sweep is specialized for JetBrains only.
Capabilities
Deployment
Compliance
What is InVideo AI? InVideo AI is a prompt-to-video generator that creates publish-ready videos with a script, footage and voiceover from a text prompt. Creators and marketers refine the result with natural-language edits. Key capabilities of InVideo AI Prompt-to-video: Generate a full video from text. Stock media and voiceovers: Footage and narration included. Natural-language edits: Change the video by describing edits. Generative clips: AI-generated video clips. Multiplayer editor: Timeline editing with teammates. How InVideo AI works You describe the video you want, InVideo AI writes a script and assembles footage and voiceover, and you refine it with text instructions or the editor. Credits meter generation and model use, they do not roll over monthly, and higher plans unlock more AI models. Who uses InVideo AI? Content creators, marketers and small teams making social and promotional videos use InVideo AI. InVideo AI pricing Billed annually, the vendor lists Basic at $9 per month with 190 credits, Pro at $18 with 1,000 credits and Ultra at $40 with 3,000 credits per seat. No free plan is listed, and Enterprise is by contact. InVideo AI alternatives Pictory repurposes text and long videos, Higgsfield focuses on cinematic AI video, and Crayo targets short-form clips. InVideo AI is distinguished by full prompt-to-video assembly with an integrated editor.
Capabilities
Deployment
Compliance
What is Clockwise? Clockwise is a calendar optimization AI agent offering an AI calendar assistant that optimizes team schedules to create focus time. Founded in 2016 and based in San Francisco, California, USA, Clockwise helps teams and managers automate calendar optimization work and get results faster. Key capabilities of Clockwise Focus time protection Flexible meeting moves Team scheduling AI calendar assistant Time zone handling Buffer and focus time rules How Clockwise works Clockwise takes calendar data as input and produces schedules 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 Google Calendar, Outlook, Zoom and Slack, so the agent works inside existing workflows. Who uses Clockwise? Clockwise is built for teams and managers. It suits teams that want focus time protection and flexible meeting moves without adding headcount, while keeping people in control of review and final decisions. Clockwise vs Reclaim.ai Clockwise is often compared with Reclaim.ai. Clockwise stands out for focus time protection and team scheduling. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
Capabilities
Deployment
Compliance
What is Outreach? Outreach is an AI-powered revenue orchestration platform for sales, marketing, revenue operations and customer success teams, founded in 2014. Its AI agents work alongside reps to prospect, manage deals, forecast, coach and expand accounts. Key capabilities of Outreach AI agents: Prospect, manage deals, forecast, coach and expand accounts. Outreach Omni: Conversational agent to ask questions and take actions on accounts. Agent Studio: Workflow automation with templates for core sales motions. Knowledge Base: Upload case studies and battlecards to personalize AI output. Meeting Prep Agent: Briefings with account history and talking points. How Outreach works Reps and managers work in Outreach while agents handle prospecting, meeting prep and deal tasks, drawing on uploaded knowledge. The Outreach MCP lets information and actions flow across the GTM stack so agents can act for sales teams. Agent controls are fully configurable with audit trails. Who uses Outreach? Enterprise revenue teams use Outreach. The vendor lists Avis, Databricks, Zoom, Siemens, Snowflake, Okta and ServiceNow as customers. Outreach pricing The vendor does not publish prices, so Outreach is quote-based. Outreach alternatives Salesloft is a sales engagement and forecasting platform, Apollo.io combines a contact database with outreach, and Clari focuses on revenue forecasting. Outreach is distinguished by its agent studio and MCP integration layer.
Deployment
Compliance
What is Pecan AI? Pecan is a predictive AI agent for business teams that generates forecasts without data science expertise. It automates data preparation, model building and validation, and delivers predictions in days. Key capabilities of Pecan AI Churn prediction: Forecast which customers are likely to leave. Lifetime value modeling: Predict customer LTV. Lead scoring: Rank leads by likelihood to convert. Demand forecasting: Predict demand for inventory planning. Automated ML pipeline: No-code data preparation, modeling and validation. How Pecan AI works Teams connect a cloud warehouse or business source through secure connectors, and Pecan prepares the data, builds and validates models and shows results in explainability dashboards. Predictions are pushed into existing business tools. The vendor says most teams build a first model within hours to a day. Who uses Pecan AI? Marketing, sales, operations, customer success and finance teams use Pecan. The vendor reports a 28 percent average churn reduction and 15 percent better marketing ROAS among customers. Pecan AI pricing Pecan states that commitment-free plans are available, but specific pricing requires a demo consultation, so cost is quote-based. Pecan AI alternatives Tellius provides conversational analytics, Databricks Genie lets users query data in natural language, and Sourcetable is an AI spreadsheet. Pecan differs by focusing on automated predictive models for business teams.
Deployment
Compliance