AI Agents Marketplace

Bloomreach is an AI-powered e-commerce personalization platform that unifies customer data, marketing automation, product discovery, and content to deliver personalized shopping experiences across channels. What Bloomreach does Engagement: a customer data engine plus marketing automation for personalized email, SMS, and campaigns. Discovery: AI-driven product search, merchandising, and recommendations for online stores. Content: headless CMS to build and manage on-brand experiences. AI: the Loomi AI layer powers personalization, insights, and automation. Who it's for E-commerce and retail brands that want to personalize marketing, search, and content from one platform.

What is Bee? Bee is a personal AI wearable that listens to conversations and builds a record of your day. The company is now affiliated with Amazon, which agreed to acquire it in July 2025. Key capabilities of Bee Always-on capture: Dual microphones pick up conversations. Daily summaries: Summarizes your day and recalls details. Task suggestions: Suggests follow-up tasks. Battery life: Up to 7 days per charge. Language support: 40 languages. Mute control: Can be muted at any time. How Bee works You wear the device, which records through dual microphones and sends audio to a phone app that converts speech to text. The AI then summarizes the day and surfaces tasks and past details. The app currently supports iOS, with Android mentioned. Who uses Bee? Bee suits people who want a passive memory aid for conversations. Orders ship only to the United States. Bee pricing The Bee Pioneer Edition is $49.99, and third-party reports cite a $19 per month subscription. New orders ship in 1 to 2 business days per the vendor site. Bee alternatives Alternatives include Plaud, which sells dedicated recorders with transcription plans, Mem, which offers an AI notes workspace, and Obsidian, a local-first notes app.

What is Krisp? Krisp is an AI voice and meeting assistant that cancels background noise and echo in calls and also provides transcription, AI meeting notes and accent conversion. It has plans for individuals, call centers and developers. Key capabilities of Krisp Noise and echo cancellation: removes background noise from both speaker and listener sides Meeting transcription: unlimited transcription on Core and Advanced AI notes: summaries and action items from meetings Accent conversion: 1 hour a day on Core, 4 hours on Advanced Call center tools: agent and customer noise cancellation, summaries, analytics Developer SDK: voice isolation, turn prediction and translation APIs How Krisp works Krisp runs as a virtual microphone and speaker, so it works with any calling app. It processes audio before it reaches the call, records and transcribes meetings, and produces notes. Enterprise adds on-device transcription for stricter data handling. Who uses Krisp? Remote workers and sales teams use the meeting plans, contact centers use the CC plans per agent, and developers embed voice AI through the Developers plans. Enterprise adds SSO, SCIM, a dedicated account manager and HIPAA compliance. Krisp pricing Krisp lists Core at $16 a month or $8 billed annually and Advanced at $30 a month or $15 billed annually, plus custom Enterprise. CC Core is $15 per agent a month billed annually. A 7-day free trial needs no credit card. Krisp alternatives Alternatives include Otter.ai for transcription, Notta for multilingual notes, Tactiq for browser captions, Zocks for advisor notes, and Leexi for call recording.

What is Audo AI? Audo AI is a set of audio and video processing tools for content creators and AI assistants. It offers a web-based Audo Studio and a REST API, with the stated goal of filtering a recording without adding synthetic content. Key capabilities of Audo AI Noise removal and voice enhancement: Cleans recordings without a studio setup Audio transcription: Supports 60 languages Script alignment: Matches audio to a provided script Silence removal and cutting: Trims dead air and cuts audio Loudness normalization: Targets levels for different publishing platforms Mixing and speaker leveling: Balances speakers and joins files Video audio tools: Extracts or swaps the audio track in video files MCP server access: Lets AI assistants such as ChatGPT and Claude call the tools How Audo AI works A user uploads a file in Audo Studio or sends it to the REST API, picks a tool, and receives the processed file. Audo says its processing filters the recording and adds nothing. File limits are 100 MB without an account and 10 GB with one, and uploaded files are deleted after 24 hours. The MCP server exposes the same tools to AI assistants and editors such as VS Code. Who uses Audo AI? Podcasters, video creators and developers who need quick audio cleanup use it, as do teams wiring audio processing into an app or AI assistant through the API or MCP server. Audo AI pricing Audo uses a credit system where different tools cost 1 to 3 credits per minute of audio. A free trial covers the first minutes of any file with limited daily uses and no account required. Per-credit dollar prices are not stated on the page reviewed. Audo AI alternatives Alternatives include Adobe Podcast Enhance Speech for voice cleanup, Descript for transcript-based editing, and Auphonic for automatic leveling and loudness normalization.

What is Sloyd? Sloyd is a 3D game asset AI agent offering an AI 3D model generator for game-ready props and assets with parametric customization. Sloyd helps game developers automate 3D game asset work and get results faster. Key capabilities of Sloyd Text to 3D Parametric templates Game-ready topology Engine plugins Game-ready assets Export to engines How Sloyd works Sloyd takes text and images as input and produces 3D models. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Unity, Unreal Engine, Blender and Roblox, so the agent works inside existing workflows. Who uses Sloyd? Sloyd is built for game developers. It suits teams that want text to 3D and parametric templates without adding headcount, while keeping people in control of review and final decisions. Sloyd vs Tripo Sloyd is often compared with Tripo. Sloyd stands out for text to 3D and game-ready topology. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Manifest AI? Manifest AI is a Shopify shopping assistant AI agent offering a GPT-powered shopping assistant for Shopify stores that guides buyers, recommends products and recovers carts. Manifest AI helps Shopify merchants automate Shopify shopping assistant work and get results faster. Key capabilities of Manifest AI Guided selling Product recommendations Order tracking answers WhatsApp support Pre-sale Q&A How Manifest AI works Manifest AI takes text as input and produces text and recommendations. 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 Klaviyo, so the agent works inside existing workflows. Who uses Manifest AI? Manifest AI is built for Shopify merchants. It suits teams that want guided selling and product recommendations without adding headcount, while keeping people in control of review and final decisions. Manifest AI vs Zipchat AI Manifest AI is often compared with Zipchat AI. Manifest AI stands out for guided selling and order tracking answers. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is TensorFlow? TensorFlow is an end-to-end open source platform for machine learning that lets developers build, train and deploy models that run in many environments. It is developed by Google and exposes a high-level Keras API. Key capabilities of TensorFlow tf.keras: High-level API for building neural networks in a declarative style. TensorFlow Lite (LiteRT): Runs models on Android, iOS, Raspberry Pi and Edge TPU devices. TensorFlow.js: Trains and runs models in the browser or Node.js. TFX: Builds production ML pipelines with MLOps practices. tf.data: Preprocesses data and builds input pipelines. TensorBoard: Visualizes and tracks model development. TensorFlow Datasets: Ships ready-made standard datasets. TensorFlow GNN: Analyzes relational data with graph neural networks. How TensorFlow works Developers write Python code, often with tf.keras, to define layers, compile a model with an optimizer and loss, then train it on data prepared with tf.data. Trained models can be exported to LiteRT for mobile and edge, run in the browser with TensorFlow.js, or served through TFX pipelines in production. There is no autonomous agent step. Who uses TensorFlow? TensorFlow is used by machine learning engineers, researchers and data scientists. Its edge and browser runtimes suit teams shipping models to phones, embedded devices and web apps. TensorFlow pricing TensorFlow is free and open source, so there is no license fee. Costs come from the compute, storage and cloud services you run it on. TensorFlow alternatives Alternatives include PyTorch, which is a widely used open source deep learning framework, JAX, which targets high-performance numerical computing, and Keras, which can run as a high-level layer over several backends.

What is QA.tech? QA.tech is an autonomous QA agent AI agent offering an AI QA agent that explores web apps, writes tests and reports bugs automatically. Founded in 2023 and based in Stockholm, Sweden, QA.tech helps startups and product teams automate autonomous QA agent work and get results faster. Key capabilities of QA.tech Autonomous app exploration AI-written tests Bug reports with context PR checks Self-healing locators CI/CD integration How QA.tech works QA.tech takes URL and web pages as input and produces tests and reports. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as GitHub Actions, Jenkins, Jira and Slack, so the agent works inside existing workflows. Who uses QA.tech? QA.tech is built for startups and product teams. It suits teams that want autonomous app exploration and AI-written tests without adding headcount, while keeping people in control of review and final decisions. QA.tech vs Octomind QA.tech is often compared with Octomind. QA.tech stands out for autonomous app exploration and bug reports with context. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Amperon? Amperon is an AI-powered energy forecasting platform that predicts demand, renewable generation and prices for the power industry. Founded in 2018, it serves utilities, financial traders, retailers and independent power producers across North America, Europe and Australia. Key capabilities of Amperon Load forecasting: Grid-level, meter and portfolio, and coincident peak demand predictions Renewable forecasting: Solar and wind asset generation forecasts Price forecasting: Day-ahead and real-time LMP predictions Sub-hourly updates: 15-day short-term forecasts refreshed sub-hourly Long horizons: Intra-day to 5-year forecasts Weather ensembles: 40,000 weather data points from four vendors How Amperon works Amperon blends hybrid machine learning with regression models and ensembles weather inputs from four vendors, analyzing 25+ weather variables hourly. Customers receive forecasts at the grid, portfolio or meter level, and the vendor says it manages 51 million meters. Who uses Amperon? More than 150 energy leaders use Amperon, including Orsted, PG&E, AES Corporation and Eversource Energy. Utilities, traders, retailers and independent power producers are the core buyers. Amperon pricing Amperon does not publish pricing. Customers request a demo to get a quote. Amperon alternatives Alternatives include Camus Energy and Kevala for grid software and data, and general ML platforms like DataRobot and Dataiku. Amperon is specialized in energy forecasting.

What is Dexterity? Dexterity is an AI robotics for logistics AI agent offering AI robots for truck loading, palletizing and parcel handling in logistics operations. Founded in 2017 and based in Redwood City, California, USA, Dexterity helps logistics and parcel companies automate AI robotics for logistics work and get results faster. Key capabilities of Dexterity Truck loading Palletizing and depalletizing Parcel induction Physical AI models Human supervision Continuous learning How Dexterity works Dexterity takes video and sensor data as input and produces actions. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as WMS platforms, ERP systems, Conveyor systems and ROS, so the agent works inside existing workflows. Who uses Dexterity? Dexterity is built for logistics and parcel companies. It suits teams that want truck loading and palletizing and depalletizing without adding headcount, while keeping people in control of review and final decisions. Dexterity vs Pickle Robot Dexterity is often compared with Pickle Robot. Dexterity stands out for truck loading and parcel induction. The right choice depends on your workflow, integrations and budget, so compare both on a real task.