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1,943 Listings in AI Agents Available
What is HoneyHive? HoneyHive is an AI observability and evals AI agent offering an AI observability and evaluation platform for testing and monitoring LLM agents. Founded in 2022 and based in New York, New York, USA, HoneyHive helps enterprise AI teams automate AI observability and evals work and get results faster. Key capabilities of HoneyHive Tracing Evaluations Datasets Production monitoring Tracing and evals Dataset management How HoneyHive works HoneyHive takes traces and prompts as input and produces evaluations and dashboards. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as OpenAI, Anthropic, LangChain and Python, so the agent works inside existing workflows. Who uses HoneyHive? HoneyHive is built for enterprise AI teams. It suits teams that want tracing and evaluations without adding headcount, while keeping people in control of review and final decisions. HoneyHive vs Langfuse HoneyHive is often compared with Langfuse. HoneyHive stands out for tracing and datasets. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Article Forge? Article Forge is an AI article generator from Glimpse.ai that writes complete long-form articles from a keyword with no manual drafting. It targets 1,500+ word SEO posts and offers bulk creation and automatic publishing. Key capabilities of Article Forge Automatic article generation: Produces 1,500+ word articles from a keyword. SEO optimization: Includes keywords and structure aimed at search. Real-time topic research: Pulls in topic information while writing. Bulk article creation: Generate many articles in one run. Auto blog posting: Publish directly to a blog such as WordPress. How Article Forge works You enter a keyword, optionally set length and instructions, and Article Forge researches the topic and writes the article without drafting by hand. You can generate in bulk, push finished articles to a blog automatically, or call it through the API. The vendor says output passes Copyscape, though editors should still review for accuracy. Who uses Article Forge? Marketers, bloggers, agencies and site owners who need high volumes of draft articles for SEO use it. Teams needing more words or multiple users go to the custom Business plan. Article Forge pricing Standard is $27 per month, or $13 per month billed yearly, with 25,000 words a month and one user. Business is custom with 500,000+ words, multiple users and a dedicated account manager. A 5-day trial and a 30-day money-back guarantee are offered. Article Forge alternatives Jasper targets enterprise marketing teams with brand voice, Copy.ai focuses on go-to-market workflows, and Frase combines research with SEO content briefs. Article Forge is built around fully automatic long-form generation.
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What is Blackshark.ai? Blackshark.ai is an Austrian AI company, headquartered in Graz and founded in 2020, that aims to make the world machine-readable. It converts satellite and aerial imagery into structured models of terrain, buildings and infrastructure. Its digital twin of Earth was commissioned for Microsoft Flight Simulator. Key capabilities of Blackshark.ai HUNTR: trains custom object detection models on imagery in minutes REPLIKA: builds scalable 3D environments for simulation and digital twins Feature extraction: identifies buildings, roads and infrastructure 3D reconstruction: generates 3D maps from imagery Real World Models: structured representations for AI and autonomy Flexible deployment: tactical edge, on-premises or secure cloud How Blackshark.ai works Blackshark ingests satellite or aerial imagery, extracts features with AI and reconstructs them in 3D. Teams use HUNTR to train detectors for their own objects and REPLIKA to produce simulation-ready environments, deployed at the tactical edge, on-premises or in a secure cloud. Who uses Blackshark.ai? Government, geospatial intelligence, simulation, insurance, smart city and autonomy teams use Blackshark.ai. Blackshark.ai pricing Blackshark.ai does not publish pricing. Contact the vendor at its inquiries address for a quote. Blackshark.ai alternatives Blackshark.ai is compared with Ultralytics, Landing AI and Twelve Labs, which are general computer vision and video understanding tools, whereas Blackshark specializes in geospatial imagery.
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What is BotsCrew? BotsCrew is an AI development company that builds custom AI agents and conversational solutions for enterprises. It says it has been building AI-powered solutions for leading brands since 2016. Key capabilities of BotsCrew Custom AI agents: Agents trained on a client's websites and documents GPT-based chatbots and voice agents: Conversational interfaces for customer-facing use AI sales agents: Agents focused on sales conversations Customer service agents: Agents that handle support queries AI data analyst agents: Agents that answer questions from business data AI strategy consulting: Discovery phase and strategy work before development How BotsCrew works A project typically starts with a discovery phase and AI strategy consulting, followed by end-to-end agent development. The agents are GPT-based and trained on the client's content such as websites and documents. BotsCrew also offers pre-built enterprise AI solutions and a platform with a simple interface for making instant changes to an agent. Who uses BotsCrew? Enterprises and brands that want a tailored agent built for them. The company lists Samsung NEXT, Honda, Adidas, Mars, Virgin, Choose Chicago, FIBA and the Red Cross among its clients, and says it has delivered 150+ projects. BotsCrew pricing BotsCrew does not list pricing on its homepage. Engagements are scoped per project after a discovery phase, so cost depends on the agent type and integration work. BotsCrew alternatives Alternatives include Voiceflow for self-serve agent design, Yellow.ai for enterprise conversational automation, and Kore.ai for enterprise virtual assistants.
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What is Amazon SageMaker? Amazon SageMaker is Amazon Web Services' managed platform for building, training and deploying machine learning and AI. Its Unified Studio, Catalog, notebooks, Data Agent and integrated AWS services share a pay-as-you-go pricing model. Key capabilities of Amazon SageMaker SageMaker Unified Studio: single environment for data, analytics and AI work Notebooks: charged by instance type and storage duration Data Agent: priced at $0.04 per credit SageMaker Catalog: governed data and model catalog with free monthly allowances AI recommendations in Catalog: priced per 1,000 tokens Amazon Q Developer: fixed monthly per-user cost How Amazon SageMaker works You create a domain and projects in Unified Studio, work in notebooks or agents, and use the Catalog to find data. Each AWS service used is billed separately by consumption. Data Agent charges $0.04 per credit with a minimum of 0.01 credits per request, and Catalog charges $10 per 100,000 requests after free allowances. Who uses Amazon SageMaker? Data scientists, ML engineers and data platform teams building on AWS use it. Teams already using Bedrock, Redshift, Athena, EMR or Glue can use the integrated experience under one billing account. Amazon SageMaker pricing SageMaker is pay as you go with no upfront commitments or minimum fees. Unified Studio has an always-free tier for setup requests and 250 hours of sc.t3.medium notebooks for the first 2 months. Catalog costs $10 per 100,000 requests and $0.40 per GB of metadata storage. Amazon SageMaker alternatives Alternatives include MLflow for open-source experiment tracking, Weights & Biases for experiment management, Comet ML for model monitoring, Neptune.ai for metadata tracking, and ClearML for MLOps orchestration.
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What is Jacquard? Jacquard, formerly Phrasee, is an AI platform that generates and optimizes marketing content across email, SMS, push, in-app, paid social and web. It describes itself as an agentic creative intelligence layer. Key capabilities of Jacquard Performance agent: Identifies revenue-lifting opportunities Compliance agent: Validates regulatory requirements Brand agent: Enforces brand voice and guardrails Jacq orchestration: Coordinates the agents and delivers approvals through Slack, Claude, ChatGPT or Copilot Global model: Built on 80B+ marketing results gathered over 10 years Brand model: Learns from your campaign history and approvals Customer model: Personalizes messaging by individual attributes How Jacquard works Three trained models feed four agents. The global model draws on past marketing outcomes, the brand model learns from your approved campaigns, and the customer model personalizes by attributes. Jacq coordinates the performance, compliance and brand agents and routes approvals to chat tools, and the platform connects to marketing systems for delivery. Who uses Jacquard? Enterprise marketing teams. Customers named by the vendor include Tesco, Costco, Sephora, Best Buy, Nestle and United Airlines. It reports a 97 percent win rate against human-written controls. Jacquard pricing Jacquard does not publish pricing on its site, so cost is set per engagement. Jacquard alternatives Related options include Klaviyo for email and SMS automation, Knak for email building and rasa.io for personalized newsletters.
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What is Dataloop? Dataloop is a platform for modernizing data infrastructure for AI development, with a focus on unstructured data and multimodal pipelines. It covers data management, models, pipelines, serverless applications and human feedback. Key capabilities of Dataloop Data management: Explore, analyze and curate unstructured data with automated preprocessing. Models: Pre-built and custom models with versioning and fine-tuning. Pipelines: Drag-and-drop or Python SDK workflows combining data, models and human feedback. Serverless applications: Function-as-a-service for AI functionality. Human feedback: RLHF, annotation and human-in-the-loop workflows. How Dataloop works Teams bring unstructured data into Dataloop, curate it, and build pipelines that chain preprocessing, models and human review, either visually or with the Python SDK. Serverless functions run the logic without infrastructure setup, and human feedback loops route outputs to reviewers for annotation or RLHF. Who uses Dataloop? Data engineers, data scientists, software engineers, AI leaders and human reviewers use Dataloop. Dataloop pricing The vendor does not publish prices on its homepage, so cost is quote-based. Dataloop alternatives Labelbox is a data labeling platform, Argilla is an open-source data curation tool, and Lightly focuses on data selection for computer vision. Dataloop is distinguished by combining data management, pipelines and human feedback.
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What is Tagshop AI? Tagshop AI is an AI UGC video generator that builds short ads from a product URL, an image or a text prompt, using AI avatars instead of paid creators. Each video is assembled with a script, a presenter avatar, a voiceover, scenes, captions and B-roll. Key capabilities of Tagshop AI URL, image and text to video: Paste a product link, upload an image or describe an idea and the tool drafts the script and ad. AI avatars: Choose from 300+ stock avatars, create custom avatars, or generate an AI Twin of a real person. Voice cloning and voiceovers: Natural voiceovers in 75+ languages, with voice cloning for brand consistency. Ad templates: 200+ templates covering product reviews, testimonials, tutorials and unboxing styles. Product holding and wearing demos: Avatars can be shown holding or wearing the product being advertised. How Tagshop AI works You start from a product link, image or prompt, and the AI Video Agent asks for brand, messaging and creative direction. It writes a script, pairs it with an avatar and voice, and renders scenes with captions. Credits are consumed per video, so volume is capped by plan. Who uses Tagshop AI? Direct-to-consumer and e-commerce brands, performance marketers and agencies use it to produce many ad variations for testing without briefing creators or filming. Teams that make 50 or more ads a month are pointed to custom plans. Tagshop AI pricing Annual-billing prices are Starter at $14 per month (600 credits a year, up to 60 videos), Growth at $39 per month (1,800 credits, up to 180 videos) and Pro at $79 per month (3,600 credits, up to 360 videos, 4K export). API and custom plans are quoted. Tagshop AI alternatives Synthesia focuses on corporate training and explainer avatars, HeyGen emphasizes avatar translation and interactive avatars, and Creatify and Arcads target similar UGC-style ad creation. Tagshop AI centers on product-URL-driven ad generation.
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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.
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What is Paperguide? Paperguide is an academic research AI agent offering an AI research assistant for finding papers, reading with AI and writing literature reviews with citations. Paperguide helps students and researchers automate academic research work and get results faster. Key capabilities of Paperguide Paper discovery AI reading Literature reviews Reference manager Cited answers from papers Literature synthesis How Paperguide works Paperguide takes text and documents as input and produces text and citations. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as arXiv, PubMed, Zotero and Google Scholar, so the agent works inside existing workflows. Who uses Paperguide? Paperguide is built for students and researchers. It suits teams that want paper discovery and AI reading without adding headcount, while keeping people in control of review and final decisions. Paperguide vs Elicit Paperguide is often compared with Elicit. Paperguide stands out for paper discovery and literature reviews. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is LinkedIn Hiring Assistant? LinkedIn Hiring Assistant is a recruiting agent AI agent offering LinkedIn AI agent that helps recruiters source, assess and engage candidates. Founded in 2024 and based in Sunnyvale, California, USA, LinkedIn Hiring Assistant helps recruiters on LinkedIn Recruiter automate recruiting agent work and get results faster. Key capabilities of LinkedIn Hiring Assistant Candidate sourcing Qualification summaries Outreach drafts Pipeline management HRIS integration Role-based access How LinkedIn Hiring Assistant works LinkedIn Hiring Assistant takes job data and text as input and produces candidates and text. It is powered by Multiple LLMs (managed) models, with the vendor managing prompts, models and updates. It connects to tools such as Slack, Google Workspace, Microsoft 365 and QuickBooks, so the agent works inside existing workflows. Who uses LinkedIn Hiring Assistant? LinkedIn Hiring Assistant is built for recruiters on LinkedIn Recruiter. It suits teams that want candidate sourcing and qualification summaries without adding headcount, while keeping people in control of review and final decisions. LinkedIn Hiring Assistant vs hireEZ LinkedIn Hiring Assistant is often compared with hireEZ. LinkedIn Hiring Assistant stands out for candidate sourcing and outreach drafts. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Gamma? Gamma is an AI platform that creates presentations, documents and websites from a prompt. Content is built in a card-based editor and priced per seat with monthly AI credits. Key capabilities of Gamma AI presentations: generates decks from a prompt AI documents: creates formatted docs AI websites: publishes simple sites Monthly AI credits: 1,000 on Plus, 4,000 on Pro, 20,000 on Ultra Team plans: Team and Business tiers with shared workspaces Free tier: includes starter credits How Gamma works You enter a prompt or paste notes, and Gamma generates a first draft that you edit in a card-based editor. Credits are spent on generation, and plans differ by credit allowance and seat count, with every team member paying a full seat. Who uses Gamma? Individuals, marketers and teams creating decks and documents use it. The vendor pricing page blocked our fetch, so the details here come from third-party sources. Gamma pricing Third-party sources report Free at $0, Plus at $9, Pro at $18 and Ultra at $90 per seat a month, Team at $240 per seat a year, and Business at $40 per seat a month with a 10-seat minimum. Annual billing is reported to save up to 28%. Gamma alternatives Alternatives include Beautiful.ai for smart templates, Plus AI for slides in Office, SlidesAI for Google Slides, and Decktopus for quick decks.
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