AI Agents Marketplace

What is Keyplay? Keyplay is an account scoring AI agent offering AI account scoring and research that finds and prioritizes your best-fit accounts. Keyplay helps B2B go-to-market teams automate account scoring work and get results faster. Key capabilities of Keyplay ICP account scoring AI account research Lookalike discovery CRM sync Signal-based workflows How Keyplay works Keyplay takes company data 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 Salesforce, HubSpot, LinkedIn and Clay, so the agent works inside existing workflows. Who uses Keyplay? Keyplay is built for B2B go-to-market teams. It suits teams that want ICP account scoring and AI account research without adding headcount, while keeping people in control of review and final decisions. Keyplay vs 6sense Keyplay is often compared with 6sense. Keyplay stands out for ICP account scoring and lookalike discovery. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Superwhisper? Superwhisper is an AI voice-to-text app that turns speech into polished text in any app. It runs on macOS, Windows, iOS and Android, is activated with a keyboard shortcut, and supports offline transcription. Key capabilities of Superwhisper Dictation anywhere: works in Slack, Gmail, Cursor, Notion and other apps Offline transcription: local models, best on Apple Silicon Macs Tone modes: formal, casual, legal and chat Custom vocabulary: trains on your terms Meeting assistant: records meetings and writes notes File transcription: transcribes audio and video files 100+ languages: plus translation on Pro How Superwhisper works You press a shortcut (Option plus Space on Mac), speak, and the text is inserted where your cursor is. Local Whisper models run offline, and Pro adds cloud models and bring-your-own AI API keys. Mode presets rewrite text into a chosen tone. Who uses Superwhisper? Superwhisper serves writers, developers and professionals who dictate into email, chat and coding tools. Enterprise buyers get SOC 2 Type II, centralized billing and model access control. Superwhisper pricing Free covers basic voice-to-text with unlimited Whisper model use. Pro is $8.49 per month or $84.90 per year. Enterprise is custom pricing. Superwhisper alternatives Alternatives include Wispr Flow, Aqua Voice and Willow Voice for AI dictation, and Typeless for polished voice typing.

What is Sourcely? Sourcely is a source finder AI agent offering an AI tool that finds academic sources to support essays and research from your text. Sourcely helps students automate source finder work and get results faster. Key capabilities of Sourcely Source discovery from text Summaries Citation export Credibility filters Source-cited answers Reference manager export How Sourcely works Sourcely takes text as input and produces citations 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 Zotero, Mendeley, PubMed and arXiv, so the agent works inside existing workflows. Who uses Sourcely? Sourcely is built for students. It suits teams that want source discovery from text and summaries without adding headcount, while keeping people in control of review and final decisions. Sourcely vs Consensus Sourcely is often compared with Consensus. Sourcely stands out for source discovery from text and citation export. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Ragie? Ragie is an AI platform with an advanced RAG engine for document processing and retrieval. It extracts structured information from unstructured documents so developers can power AI agents and applications. Key capabilities of Ragie Hybrid search: semantic and keyword retrieval Reranking: improves result relevance Entity extraction: pulls structured data from documents Partitions: separate data by tenant or use case Multi-language support: retrieval across languages Connectors: sync content from external sources MCP Server: access from MCP-compatible agents How Ragie works Developers ingest documents, audio and video through the API or connectors. Ragie processes pages (fast or hi-res), extracts entities and indexes content for hybrid retrieval with reranking. Applications call retrieval through SDKs or the MCP Server. Audio and video are billed per minute and storage per GB. Who uses Ragie? Ragie is built for developers and teams building AI agents, copilots and search over their own documents who prefer a managed pipeline over assembling vector databases themselves. Ragie pricing Developer is free with 1,000 retrievals and pages. Starter is $100 per month with 10,000 pages and Pro is $500 per month with 60,000 pages, both with unlimited retrievals. Extra pages cost $0.02 fast or $0.05 hi-res. Enterprise is custom. Ragie alternatives Alternatives include Graphlit for managed semantic memory, Supermemory for AI memory, and Zep for agent memory and context.

What is StepFun? StepFun, known in Chinese as 阶跃星辰, is an AI company that builds the Step series of language, multimodal and speech models. It exposes them through a platform with a unified API and a no-code AI Studio. Key capabilities of StepFun Step 5 Preview: Next-generation flagship model for real-world tasks. Step 3.7 and 3.5 Flash: Faster model variants. StepAudio 3: Realtime speech, TTS, generation, music and ASR. One API: Language, speech and image models through one integration. AI Studio: No-code interface for trying models. Step Plan: Subscription service with model routing. How StepFun works Developers register on the platform, obtain an API key and call public models with pay-as-you-go billing. The vendor supports standard OpenAI client libraries and REST, with Python and curl examples. Step 3.7 Flash is described by third parties as a 196B-parameter mixture-of-experts model with a 256K context window. Who uses StepFun? Developers and companies that want Chinese-developed multimodal and speech models behind an OpenAI-compatible API, plus consumers via StepFun apps. StepFun pricing The vendor describes pay-as-you-go billing without listing rates on the page reviewed. Third-party trackers cite Step 3.5 Flash from $0.09 per million input tokens and Step 3.7 Flash at $0.20 input and $1.15 output per million tokens. StepFun alternatives Related tools include Vast.ai, DeepInfra, fal, Hyperbolic and Nebius, which host and serve models rather than develop their own Step series.

What is Describely? Describely is a product content AI agent offering an AI product content platform that writes and enriches product descriptions in bulk for ecommerce catalogs. Describely helps ecommerce brands and retailers automate product content work and get results faster. Key capabilities of Describely Bulk descriptions SEO titles and tags Attribute enrichment Store sync Bulk description generation SEO optimization How Describely works Describely takes data and images 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 Shopify, WooCommerce, BigCommerce and Amazon, so the agent works inside existing workflows. Who uses Describely? Describely is built for ecommerce brands and retailers. It suits teams that want bulk descriptions and SEO titles and tags without adding headcount, while keeping people in control of review and final decisions. Describely vs Hypotenuse AI Describely is often compared with Hypotenuse AI. Describely stands out for bulk descriptions and attribute enrichment. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is BentoML? BentoML is an inference platform that helps developers build, deploy and scale AI and ML models in production. It provides a unified framework to package models of any architecture and serve them on your own infrastructure or on BentoCloud. Key capabilities of BentoML Unified model packaging: Package any framework or modality. Open-source model deployment: Deploy models such as Llama, DeepSeek, Qwen and Flux. Inference-aware autoscaling: Scale replicas based on inference load. Scale-to-zero: Idle deployments incur no cost. Cold-start acceleration: Faster startup for new replicas. How BentoML works Developers define a service in Python with class decorators, and BentoML exposes the model logic as HTTP endpoints and packages it. The package can run on your own infrastructure or on BentoCloud, which autoscales on inference load and meters compute per second, with scale-to-zero deployments costing nothing. Who uses BentoML? ML engineers and developers who put models into production use BentoML, and enterprises use BentoCloud's BYOC option in their own cloud. BentoML pricing BentoML itself is Apache 2.0 open source. BentoCloud has Starter (pay-as-you-go, with $10 in trial credits for new accounts), Scale (SLA-backed, invoiced) and Enterprise (BYOC, invoiced) tiers. The vendor pricing page did not load, so rates are not listed. BentoML alternatives MLflow handles experiment tracking and model management, Hugging Face offers hosted inference, and Dataloop covers data pipelines. BentoML is distinguished by focusing on model serving and inference-aware autoscaling.

What is Getimg.ai? Getimg.ai is an image generation and editing AI agent offering an AI image suite for generation, editing, outpainting and custom models. Founded in 2022 and based in Poland, Getimg.ai helps creators and marketers automate image generation and editing work and get results faster. Key capabilities of Getimg.ai Text-to-image Inpainting and outpainting Custom model training Image to video Commercial usage rights Upscaling and variations How Getimg.ai works Getimg.ai takes text and image as input and produces image and video. It is powered by Multiple models (selectable) models, with the vendor managing prompts, models and updates. It connects to tools such as Adobe Photoshop, Figma, Canva and Discord, so the agent works inside existing workflows. Who uses Getimg.ai? Getimg.ai is built for creators and marketers. It suits teams that want text-to-image and inpainting and outpainting without adding headcount, while keeping people in control of review and final decisions. Getimg.ai vs Leonardo.Ai Getimg.ai is often compared with Leonardo.Ai. Getimg.ai stands out for text-to-image and custom model training. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is 310.ai? 310.ai is a California-based startup building generalist generative AI models for protein design. Its MP4 (Molecule Programming V4) model creates protein sequences directly from text prompts, and its Copilot lets researchers design proteins from a single prompt. Key capabilities of 310.ai Text-to-protein generation: Turns functional descriptions into sequences. MP4 model: End-to-end generative protein model. 310 Copilot: Design proteins from a text prompt. Lab handoff: Copilot works with Adaptyv Bio to send designs for lab testing. Protein repository: 1,053+ AI-designed proteins including enzymes, scaffolds and hormones. Enzyme coverage: 6,590 generated proteins spanning top-level EC classes. How 310.ai works A researcher describes the protein in words, MP4 generates candidate sequences, and designs can be sent to a lab for testing through the Adaptyv Bio partnership. The company reports MP4 was trained on 3.2 billion biological data points across 70 tasks using about 3,800 AMD Instinct MI250X GPU-days. Who uses 310.ai? Protein engineers and biology researchers. The company reports an AI-designed protein that reacts to ATP, with potential applications in heart disease and stroke research. 310.ai pricing 310.ai does not publish pricing on the pages reviewed. 310.ai alternatives Albert Invent and Uncountable serve chemical and materials R&D, and Polymerize targets polymer informatics. 310.ai is specific to protein design.

What is Listen2It? Listen2It is an AI voice generation platform that converts text into realistic voiceovers. It offers 900+ AI voices in 145+ languages and accents, plus an editor for fine-tuning the audio. Key capabilities of Listen2It 900+ voices: Across 145+ languages and accents. Voice controls: Adjust speed, pitch, emphasis and volume. Background music: Add music tracks and time them. Custom pronunciation: Build libraries for specific words. Multi-voice audio: Combine languages, voices and speakers in one file. Text-to-speech API: Integrate voices into apps. How Listen2It works You paste text, pick a voice and language, adjust speed, pitch and emphasis, and generate audio. A pronunciation library fixes specific words, and the advanced editor trims, fades and adds delays or background music. Voice settings can be saved as character profiles, and audio can be hosted and streamed through an AWS-backed CDN or fetched by API. Who uses Listen2It? Marketers, agencies, bloggers, content creators, educators, customer support teams, social media creators and e-learning platforms producing voiceovers. Listen2It pricing The free tier includes 5,000 word credits and all 900+ voices, with no credit card required. Paid plans add commercial rights; exact paid prices were not shown on the vendor page reviewed. Listen2It alternatives Related tools include Voicemaker, Jellypod, Verbit, 3Play Media and AI-Media, covering text-to-speech, podcasts and transcription or captioning.