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1,943 Listings in AI Agents Available
What is Ecosia? Ecosia is a search engine founded in 2009 and based in Berlin that funds tree planting and climate action. It added AI Overviews and AI Chat on December 2, 2025. Key capabilities of Ecosia AI Overviews: short summaries with linked sources above results AI Chat: opt-in conversational assistant AI-free searching: one setting turns all AI features off Tree planting: profits fund climate action and tree planting Browser support: Chrome, Firefox, iOS and Android Privacy controls: chats stay in the browser unless you consent How Ecosia works AI Overviews read the most relevant sources for a query, write a short summary and link the pages used above the normal results. AI Chat runs only when a user opens it. Ecosia says it uses a lighter model from a European provider and offsets AI energy with its own renewable projects. Who uses Ecosia? Ecosia is used by people who want a search engine with a climate mission and the choice to avoid AI features. Ecosia pricing Ecosia search is free to use and is funded by advertising. The vendor says it dedicates 100 percent of its profits to climate action. Ecosia alternatives Alternatives include Qwant and Duck.ai for privacy-focused search with AI, and Brave Leo for an AI assistant in the Brave browser.
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What is Doctrine? Doctrine is a legal AI platform that integrates public legal data with a user's own documents in a secure workspace. It serves lawyers and legal professionals in France, Italy, Germany, Spain and Luxembourg. Key capabilities of Doctrine Legal research: Court decisions, collective agreements, tax conventions, parliamentary documents and administrative rulings AI assistant: Detects cited sources, compares documents, verifies compliance and searches court decisions Flow Litigate: Organizes litigation cases, timelines and evidence summaries Flow Counsel: Analyzes contracts and identifies risks Jobexit: Simulates employment contract terminations How Doctrine works Users search legal sources and upload their own documents, then ask the AI assistant to analyze contracts, find legal risks and give recommendations with cited sources. Workflows such as Flow Litigate and Flow Counsel structure repeatable litigation and contract tasks. Who uses Doctrine? Law firms and in-house teams. Doctrine lists clients including Baker McKenzie, Jones Day, LVMH, RATP and AXA. Doctrine pricing Doctrine offers a 7-day free trial with no credit card and paid subscription tiers. Prices were not shown on the page reviewed. Doctrine alternatives Alternatives include Predictice for French case law analytics, LegalOn for contract review, and Genie AI for contract drafting.
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What is Denti.AI? Denti.AI is a dental imaging and charting AI agent offering dental AI for radiograph analysis, voice perio charting and automated clinical notes. Founded in 2018 and based in Toronto, Ontario, Canada, Denti.AI helps dental practices and DSOs automate dental imaging and charting work and get results faster. Key capabilities of Denti.AI X-ray pathology detection Voice perio charting Auto clinical notes Patient communication Practice management integration Clinician review How Denti.AI works Denti.AI takes image and audio as input and produces insights 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 Dentrix, Open Dental, Eaglesoft and ezyVet, so the agent works inside existing workflows. Who uses Denti.AI? Denti.AI is built for dental practices and DSOs. It suits teams that want X-ray pathology detection and voice perio charting without adding headcount, while keeping people in control of review and final decisions. Denti.AI vs Overjet Denti.AI is often compared with Overjet. Denti.AI stands out for X-ray pathology detection and auto clinical notes. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Unit8? Unit8 is a Swiss data and AI services company headquartered in Lausanne that helps traditional enterprises turn data into value. It maintains the open-source Darts forecasting library. Key capabilities of Unit8 Consulting: Data and AI strategy Solutions: Custom implementations Data platforms: Infrastructure builds MLOps: Platform operations Generative AI services: Application development Darts: Open-source forecasting library How Unit8 works Unit8 teams work with clients on strategy, build solutions and platforms and operate them, using tools such as Darts for time-series forecasting. Who uses Unit8? Enterprises such as Merck, Swiss Re, Daimler, Firmenich, Helvetia and Julius Baer, with offices in Switzerland, Germany, Poland and the USA. Unit8 pricing Unit8 does not publish prices. Darts is open source and free. Unit8 alternatives Alternatives include Nixtla for forecasting and Akkio and Pecan AI for predictive analytics.
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What is Cyanite? Cyanite is a music tagging and search AI agent offering AI that tags music catalogs and powers similarity and free-text search for music libraries. Founded in 2019 and based in Mannheim, Germany, Cyanite helps music publishers, labels and libraries automate AI music tagging and search work and get results faster. Key capabilities of Cyanite Auto-tagging Similarity search Free-text music search Catalog insights Royalty-free licensing Stem export How Cyanite works Cyanite takes audio as input and produces text 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 YouTube, TikTok, Ableton Live and Logic Pro, so the agent works inside existing workflows. Who uses Cyanite? Cyanite is built for music publishers, labels and libraries. It suits teams that want auto-tagging and similarity search without adding headcount, while keeping people in control of review and final decisions. Cyanite vs Musiio Cyanite is often compared with Musiio. Cyanite stands out for auto-tagging and free-text music search. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Gladia? Gladia is a speech-to-text API for developers building voice products. It offers asynchronous and real-time transcription with speaker diarization and word-level timestamps across more than 100 languages. Key capabilities of Gladia Async transcription: batch processing of recorded audio Real-time transcription: live streaming speech-to-text 100+ languages: automatic language detection Speaker diarization: labels who spoke when Word-level timestamps: precise timing for each word Compliance: GDPR, HIPAA and AICPA SOC 2 Type 2 How Gladia works Developers send audio to the Gladia API as a file for asynchronous transcription or as a live stream for real-time transcription. The response returns text with word-level timestamps and speaker labels. Customers pay from a prepaid credit wallet with optional auto top-up. Who uses Gladia? Gladia is aimed at developers and product teams adding transcription to apps, meeting tools and call platforms. The Starter tier caps concurrency at 30 real-time and 25 async requests, while Growth and Enterprise are flexible or unlimited. Gladia pricing Starter is pay-as-you-go at $0.61 per hour async and $0.75 per hour real-time. Growth is commitment-based from $0.20 per hour async and $0.25 real-time, and Enterprise is custom. Gladia alternatives Alternatives include Cartesia for voice models, Hume AI for emotion-aware voice and Respeecher for voice cloning.
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What is Trade Ideas? Trade Ideas is a real-time stock scanning and trading platform that adds AI-generated signals, backtesting and automated trading. It offers customizable scans and screeners over 500+ data points and integrates with brokers. Key capabilities of Trade Ideas Real-time scanning: customizable scans and screeners over 500+ data points Charts and layouts: 10 charts with customizable layouts Paper trading and in-app trading: practice and place trades TI Wave: included in Standard 1st Gen AI Signals: Premium only Backtesting and auto trading: Premium, with smart risk levels How Trade Ideas works Scanners filter the market in real time against your criteria and alert you to setups. Premium adds AI signals, backtesting and automated execution through connected brokers. Decisions and risk limits stay with the trader. Who uses Trade Ideas? Active day traders and swing traders who want fast scanning and alerts. This is not personalized investment advice. Trade Ideas pricing TI Standard is $127 per month or $1,068 per year ($89 per month equivalent). TI Premium is $254 per month or $2,136 per year ($178 per month equivalent). Trade Ideas alternatives Fiscal.ai and Fintool are AI financial research tools, while Trullion, Docyt and Auditoria.AI serve accounting automation. Trade Ideas is aimed at intraday trade scanning.
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What is Gorgias? Gorgias is a customer support helpdesk built for e-commerce brands, with a native Shopify integration and an AI agent that answers tickets and can take actions such as refunds or upsells. It is priced by ticket volume rather than by agent. Key capabilities of Gorgias AI agent: Automates responses and resolves a portion of tickets. Unified omnichannel inbox: Email, chat, social and messaging in one inbox. Native Shopify integration: Order data and actions available inside tickets. In-conversation actions: Process refunds and offer upsells from a ticket. AI agent coaching: Guidance to improve the AI's behavior. How Gorgias works Gorgias pulls customer and order data from the store into each ticket so agents see context. The AI agent answers using help-center content and store data and can trigger actions, handing off when it cannot resolve. Each automated interaction counts as one ticket, and the AI is billed separately per interaction. Who uses Gorgias? E-commerce brands on Shopify and similar platforms, from small shops to large merchants, use it. The vendor says 12,400+ brands use its Pro plan. Gorgias pricing Starter is $10 per month with 50 tickets, Basic is $50 per month on annual billing for 300 tickets, Pro is $300 for 2,000 tickets, and Advanced is $750 for 5,000 tickets. The AI agent is $0.90 per interaction on annual contracts or $1.00 monthly. Enterprise is custom. Gorgias alternatives Zendesk is a general-purpose helpdesk, Intercom Fin is an AI agent for Intercom, and Freshdesk with Freddy AI is a broader support suite. Gorgias specializes in e-commerce stores and ticket-volume pricing.
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What is Amazon Q Business? Amazon Q Business is a generative AI assistant from AWS for finding information, gaining insight and taking action at work. It lets employees query enterprise data in natural language. AWS now states that Amazon Q Business is no longer available to new customers and promotes Amazon Quick as the successor. Key capabilities of Amazon Q Business Unified search with citations: Searches documents, databases and data warehouses and cites sources in answers Amazon Q Apps: Lightweight no-code apps for automating routine tasks 50+ connectors: Integrations with tools such as Jira, Salesforce, ServiceNow and PagerDuty Role-based permissions: Answers respect existing user permissions Topic and keyword filters: Administrators can block topics and filter responses by keyword How Amazon Q Business works Admins connect data sources through connectors, and Amazon Q Business indexes the content. An employee asks a question in natural language and receives an answer with citations to the underlying documents, limited to what that person is allowed to see under existing access controls. Users can also build Q Apps for repeatable tasks without writing code. AWS does not name the models on this page. Who uses Amazon Q Business? Existing customers use Amazon Q Business to give staff one place to search across company systems and to automate small tasks. New organizations are directed by AWS to Amazon Quick, since Q Business no longer accepts new customers. Amazon Q Business pricing AWS lists Amazon Q Business starting at $3 per user per month, with subscription and search-volume-based models. The AWS page does not break out tier or index costs. New sign-ups are closed. Amazon Q Business alternatives Alternatives include Amazon Quick, AWS's own successor with expanded agent features, Microsoft 365 Copilot for Microsoft environments, and Glean for enterprise search across many SaaS apps.
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What is Checksum? Checksum is a generated end-to-end tests AI agent offering AI that generates and maintains end-to-end tests from real user sessions. Founded in 2022 and based in San Francisco, California, USA, Checksum helps engineering teams shipping web apps automate generated end-to-end tests work and get results faster. Key capabilities of Checksum Session-based test generation Auto-maintenance Playwright and Cypress output CI integration Self-healing locators CI/CD integration How Checksum works Checksum takes user sessions and web pages as input and produces tests and code. 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 Checksum? Checksum is built for engineering teams shipping web apps. It suits teams that want session-based test generation and auto-maintenance without adding headcount, while keeping people in control of review and final decisions. Checksum vs Meticulous Checksum is often compared with Meticulous. Checksum stands out for session-based test generation and Playwright and Cypress output. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is PaddlePaddle? PaddlePaddle is a parallel distributed deep learning framework described as efficient and extensible. It is developed by Baidu and is open source. Key capabilities of PaddlePaddle Distributed training: Parallel distributed deep learning. ERNIE: Pretrained language models in the ecosystem. PaddleHub: Tool for pretrained model access. PARL: Reinforcement learning toolkit. AutoDL: Automated deep learning tool. AI Studio: Learning and development platform. EasyDL and EasyEdge: Model building and edge deployment platforms. How PaddlePaddle works Developers write models in Python with the framework and train them on single machines or distributed clusters. The ecosystem adds tools such as PaddleHub and PARL and platforms such as EasyDL for model building and EasyEdge for edge deployment. Details on specific modules are in the vendor documentation. Who uses PaddlePaddle? PaddlePaddle is used by machine learning engineers and researchers, especially in China. Its platforms target both developers and teams who want lower-code model building. PaddlePaddle pricing PaddlePaddle is free and open source. Costs come from the compute you run it on, and some Baidu platforms may have their own terms. PaddlePaddle alternatives Alternatives include TensorFlow, which is Google open source ML platform, PyTorch, which is a widely used deep learning framework, and MindSpore, which is Huawei deep learning framework.
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What is Base44? Base44 is a no-code AI app building AI agent offering an AI app builder (part of Wix) that creates full apps with built-in database, auth and hosting from a prompt. Founded in 2024 and based in Tel Aviv, Israel, Base44 helps non-technical founders and teams automate no-code AI app building work and get results faster. Key capabilities of Base44 Prompt-to-app Built-in database and auth Hosting Integrations One-click deploy Code export How Base44 works Base44 takes text and image as input and produces app. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as GitHub, Supabase, Stripe and Vercel, so the agent works inside existing workflows. Who uses Base44? Base44 is built for non-technical founders and teams. It suits teams that want prompt-to-app and built-in database and auth without adding headcount, while keeping people in control of review and final decisions. Base44 vs Lovable Base44 is often compared with Lovable. Base44 stands out for prompt-to-app and hosting. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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