AI Agents Marketplace

What is Latent Labs? Latent Labs is a protein design AI agent offering a frontier AI lab whose Latent-X web platform lets scientists design novel protein binders computationally. Founded in 2023 and based in London, United Kingdom, Latent Labs helps biologists and drug discovery teams automate protein design work and get results faster. Key capabilities of Latent Labs De novo binder design Structure prediction Web-based design Lab-validated models Model-driven design Cloud compute workflows How Latent Labs works Latent Labs takes sequences and structures as input and produces protein designs. It is powered by Latent Labs models, with the vendor managing prompts, models and updates. It connects to tools such as Python, Jupyter, PyMOL and Benchling, so the agent works inside existing workflows. Who uses Latent Labs? Latent Labs is built for biologists and drug discovery teams. It suits teams that want de novo binder design and structure prediction without adding headcount, while keeping people in control of review and final decisions. Latent Labs vs EvolutionaryScale Latent Labs is often compared with EvolutionaryScale. Latent Labs stands out for de novo binder design and web-based design. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Cua? Cua is infrastructure for computer-use agents. It scales fleets of virtual computers for parallel training, evaluation and data generation across Linux, Windows, macOS and Android. Key capabilities of Cua Cua Driver: open-source background driver for desktop automation, compatible with MCP and CLI Cua Sandbox: local and cloud sandboxes for agents Cua Fleets: elastic warm pools of machines on demand Cua Bench: framework for authoring evaluations and benchmarks Lume: macOS virtual machine management on Apple Silicon Multi-OS support: Linux, Windows, macOS and Android environments How Cua works Developers provision a sandbox locally or in the cloud, then point a computer-use agent at it to operate the desktop. Fleets keep warm pools of machines so many runs can execute in parallel, and Cua Bench scores agent performance on authored tasks. Who uses Cua? Cua is for teams building and training computer-use agents. Its repositories report a community of 27.9K on GitHub, and the vendor lists compatibility with OpenAI, Qwen Code and Factory Droid. Cua pricing Cua Fleets is usage-based, at $0.044625 per vCPU per hour and $0.0223125 per GiB of memory per hour. Cua Driver, Cua Bench and Lume are MIT licensed. Cua alternatives Alternatives include Scrapybara for hosted agent computers, Kernel for browser infrastructure and Manus for a general agent product.

What is Sensay? Sensay is an AI platform for knowledge offboarding. It captures what departing employees know through intelligent voice interviews and makes it accessible to the people who stay. Key capabilities of Sensay AI interviewer Sophia: Conducts voice interviews that extract tacit knowledge. Interview scheduling: Automated scheduling for departing employees. Slack and Teams access: Query captured knowledge where teams work. Document generation: Create custom documents from interviews. Quick setup: Organization configured in minutes. Role-based access: Strict access controls on captured knowledge. How Sensay works The organization is configured in minutes, interviews are scheduled automatically for departing employees, and Sophia, the AI interviewer, conducts a voice interview. The captured knowledge is then queried through Slack or Teams or turned into custom documents. The vendor cites first interview within 2 days of setup, and AES-256 encryption at rest with TLS in transit. Who uses Sensay? HR and operations teams that lose institutional knowledge when staff leave. The vendor claims 95% knowledge retention, 40% faster onboarding for replacements and 3x ROI. Sensay pricing Pricing is not shown on the homepage content reviewed, and a pricing page exists on the vendor site. Sensay alternatives Related tools include Delphi and Coachvox AI for AI clones of experts, and Voiceflow, ManyChat and Landbot for conversational bots.

What is Quizgecko? Quizgecko is a quiz generation AI agent offering an AI quiz generator that turns text, documents and URLs into quizzes and flashcards. Quizgecko helps teachers, trainers and students automate quiz generation work and get results faster. Key capabilities of Quizgecko Quiz generation Flashcards Question types LMS export Teacher controls Standards alignment How Quizgecko works Quizgecko takes text, documents and URL as input and produces quizzes. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Google Classroom, Canvas LMS, Microsoft Teams and Google Docs, so the agent works inside existing workflows. Who uses Quizgecko? Quizgecko is built for teachers, trainers and students. It suits teams that want quiz generation and flashcards without adding headcount, while keeping people in control of review and final decisions. Quizgecko vs Quizlet Quizgecko is often compared with Quizlet. Quizgecko stands out for quiz generation and question types. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Weni? Weni is a conversational AI for commerce AI agent offering a conversational AI platform (part of VTEX) for customer service and sales agents on WhatsApp. Founded in 2019 and based in Brazil, Weni helps retailers and brands in Latin America automate conversational AI for commerce work and get results faster. Key capabilities of Weni AI agents for WhatsApp Commerce integrations Human handoff Flows and analytics Local language support Live agent handoff How Weni works Weni takes text as input and produces text and actions. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as WhatsApp, Instagram, Facebook Messenger and Salesforce, so the agent works inside existing workflows. Who uses Weni? Weni is built for retailers and brands in Latin America. It suits teams that want AI agents for WhatsApp and commerce integrations without adding headcount, while keeping people in control of review and final decisions. Weni vs Botmaker Weni is often compared with Botmaker. Weni stands out for AI agents for WhatsApp and human handoff. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Pega GenAI? Pega GenAI is a generative AI for workflows AI agent offering Pega generative AI that designs workflows, assists agents and powers autonomous agents. Founded in 2023 and based in Waltham, Massachusetts, USA, Pega GenAI helps large enterprises automate generative AI for workflows work and get results faster. Key capabilities of Pega GenAI Pega Blueprint app design Agent assist GenAI decisioning Autonomous agents Governance and audit Human-in-the-loop steps How Pega GenAI works Pega GenAI takes text as input and produces workflows and actions. It is powered by Multiple LLMs (managed) models, with the vendor managing prompts, models and updates. It connects to tools such as SAP, Salesforce, ServiceNow and Microsoft 365, so the agent works inside existing workflows. Who uses Pega GenAI? Pega GenAI is built for large enterprises. It suits teams that want Pega Blueprint app design and agent assist without adding headcount, while keeping people in control of review and final decisions. Pega GenAI vs Appian AI Pega GenAI is often compared with Appian AI. Pega GenAI stands out for Pega Blueprint app design and GenAI decisioning. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Photo AI? Photo AI is an AI photoshoots AI agent offering an AI photo generator that trains a model on your selfies to create realistic photoshoots. Photo AI helps creators and professionals automate AI photoshoots work and get results faster. Key capabilities of Photo AI Personal AI model Photoshoot packs AI video Consistent characters Multiple styles Privacy deletion controls How Photo AI works Photo AI takes image as input and produces image. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as LinkedIn, Google Drive, Web browsers and iOS, so the agent works inside existing workflows. Who uses Photo AI? Photo AI is built for creators and professionals. It suits teams that want personal AI model and photoshoot packs without adding headcount, while keeping people in control of review and final decisions. Photo AI vs HeadshotPro Photo AI is often compared with HeadshotPro. Photo AI stands out for personal AI model and AI video. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Aircall AI? Aircall AI is the AI layer of Aircall, a customer communications platform. It combines a team-based phone system, AI assistance for live calls and autonomous AI voice agents that handle routine requests around the clock. Key capabilities of Aircall AI Cloud phone system: calls, SMS and messaging with a shared inbox AI Assist: real-time coaching, live transcription and sentiment analysis Automated follow-ups: reduces manual after-call work AI Voice Agents: autonomous agents for FAQs and scheduling Context handoff: transfers to human reps with full context 250+ integrations: Salesforce, HubSpot, Zendesk and Shopify How Aircall AI works Teams make and receive calls through Aircall with native CRM integrations. AI Assist transcribes calls live and coaches reps, and AI Voice Agents answer calls on their own, schedule appointments and transfer to a person with context. Aircall states SOC 2 Type II, GDPR and HIPAA compliance. Who uses Aircall AI? Aircall says 23,000+ companies use it. Support and sales teams use the phone system, and the voice agents suit teams that need 24/7 coverage. Aircall AI pricing Essentials is $30 per user per month annual ($40 monthly) and Professional is $50 ($67 monthly), both with 3-user minimums. AI Voice Agents are $0.49 per minute or in bundles. A free trial includes 100 agent minutes. Aircall AI alternatives Alternatives include RingCentral RingSense, Observe.AI for contact center conversation intelligence, and Jiminny for sales call analysis.

What is Adobe GenStudio? Adobe GenStudio for Performance Marketing is a generative AI-first application that helps marketing teams scale content creation, engage customers and measure campaign performance. It is sold as an enterprise product by Adobe. Key capabilities of Adobe GenStudio AI content generation: Copy, images and, as announced, video using fine-tuned models and Firefly Brand checks: AI checks enforce tone of voice and channel requirements Approval workflows: Adobe Workfront review and approvals inside the app Experimentation and insights: Test copy and visuals and review performance Channel activation: Connects to Meta, Google Campaign Manager, Microsoft Advertising, TikTok and Snap Adobe stack integration: Works with Experience Manager Assets, Express and Journey Optimizer How Adobe GenStudio works Marketers set brand guidelines, then generate copy and imagery for ad and email variants using AI models, including Adobe Firefly. Generated content is checked against the brand rules and routed for approval in Workfront before publishing to channels, and performance insights feed back into new variants. Who uses Adobe GenStudio? GenStudio is built for enterprise marketing and creative operations teams running high volumes of channel-specific content, especially those already using Adobe Experience Cloud tools. Adobe GenStudio pricing Adobe does not publish standard prices for GenStudio for Performance Marketing; pricing depends on enterprise needs, usage and licensing. Per third-party listings, a base license includes up to 10 Power Users, 20 Collaborator Users, 5 brands, 2 TB storage, 60,000 generative actions per year and 25 million rows of insights data. Adobe GenStudio alternatives Alternatives include Vidmob and CreativeX, which analyze creative performance and brand compliance, Amperity for customer data, and Dynamic Yield for personalization. GenStudio focuses on generating and approving on-brand content.

What is Seamless.AI? Seamless.AI is a B2B leads AI agent offering a real-time B2B contact search engine that finds emails and phone numbers. Founded in 2015 and based in Columbus, Ohio, USA, Seamless.AI helps sales teams and recruiters automate B2B leads work and get results faster. Key capabilities of Seamless.AI Real-time contact search Chrome extension Data enrichment Buyer intent CRM sync Deal insights How Seamless.AI works Seamless.AI takes search filters as input and produces contact data. 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 Seamless.AI? Seamless.AI is built for sales teams and recruiters. It suits teams that want real-time contact search and Chrome extension without adding headcount, while keeping people in control of review and final decisions. Seamless.AI vs ZoomInfo Seamless.AI is often compared with ZoomInfo. Seamless.AI stands out for real-time contact search and data enrichment. The right choice depends on your workflow, integrations and budget, so compare both on a real task.