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1,943 Listings in AI Agents Available
What is Jules? Jules is an autonomous coding agent from Google that handles routine development tasks such as bug fixes, version bumps, test writing, code review help and feature work. It runs asynchronously, so you assign work and review the result later. Key capabilities of Jules Bug fixing: resolves issues from a prompt or the jules label on GitHub issues Test creation: writes tests for your code Version bumps: routine dependency updates Feature building: implements described features Plan review: shows a plan and a diff for approval before changes GitHub pull requests: approved changes become a PR How Jules works You pick a GitHub repository and branch and give instructions. Jules clones the repo to a cloud VM, builds an execution plan with Gemini, shows a diff for your approval, and turns approved changes into a pull request. The vendor cites Gemini 3 Pro for planning and Gemini 2.5 Pro on the free tier. Who uses Jules? Developers who want to delegate chores to an agent while they focus on higher-value work. Jules pricing Free tier: 15 tasks per day and 3 concurrent tasks. Jules Pro: 100 tasks per day and 15 concurrent. Jules Ultra: 300 tasks per day and 60 concurrent. Dollar prices were not shown on the page reviewed. Jules alternatives Emergent and Base44 build whole apps from chat, Rork targets mobile apps, and Sourcegraph Cody and Qodo are IDE-based assistants and test generators. Jules works asynchronously on your repo.
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What is Agentuity? Agentuity is an agent cloud AI agent offering a cloud platform built for deploying, running and observing AI agents across frameworks. Agentuity helps AI agent developers automate agent cloud work and get results faster. Key capabilities of Agentuity Agent deployment Framework-agnostic runtime Observability Agent-to-agent routing Multi-agent orchestration Tool and memory support How Agentuity works Agentuity takes code as input and produces agents and APIs. 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, Python and TypeScript, so the agent works inside existing workflows. Who uses Agentuity? Agentuity is built for AI agent developers. It suits teams that want agent deployment and framework-agnostic runtime without adding headcount, while keeping people in control of review and final decisions. Agentuity vs Modal Agentuity is often compared with Modal. Agentuity stands out for agent deployment and observability. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is EvolutionaryScale? EvolutionaryScale develops AI models for biology, led by ESM3, a language model that reasons over protein sequence, structure and function at the same time. The organization is now part of Biohub. Key capabilities of EvolutionaryScale ESM3 multimodal reasoning: Reasons over sequence, structure and function simultaneously Protein generation: Generate novel proteins from mixed prompts ESM Cambrian: A parallel model family for protein representation learning Three API sizes: ESM3 small, medium and large through the API Open weights: ESM3-open is available on GitHub under the MIT license Biohub Platform: All models are accessible through the Biohub Platform How EvolutionaryScale works Researchers prompt ESM3 with any mix of sequence, structure and function information and the model completes the protein. The largest ESM3 has 98 billion parameters trained on 2.78 billion natural proteins and 771 billion unique tokens. As a demonstration, it designed esmGFP, a fluorescent protein far from natural ones. Who uses EvolutionaryScale? The models are used by protein scientists and drug discovery researchers working on enzymes, medicines and materials such as carbon-capture and plastic-degrading proteins. EvolutionaryScale pricing The ESM3-open model is free under the MIT license. Larger models are served through an API and the Biohub Platform, and the vendor does not list prices on its homepage. EvolutionaryScale alternatives Alternatives include Profluent for protein design models, Chai Discovery for structure and drug design models, and fast.ai tooling for general deep learning. EvolutionaryScale is known for the ESM family.
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What is Veritone? Veritone is an enterprise AI company focused on the data economy. Its aiWARE platform converts unstructured video, audio and text into AI-ready formats that power workflows, and it calls aiWARE the OS for AI. Key capabilities of Veritone aiWARE platform: Customizable platform for converting media into searchable intelligence Commercial: Media asset management and content intelligence Public sector tools: Redact, Illuminate, Track and Contact Analytics Veritone Hire: AI-powered talent acquisition Healthcare: Billing automation and administrative cost reduction Veritone Data Refinery: Processed an estimated 5 trillion tokens in Q2 2025 How Veritone works Organizations submit unstructured media, and Veritone's AI analyzes and tokenizes it into structured, searchable intelligence that drives automated workflows. Deployment ranges from pre-built solutions to custom implementations delivered through professional services. Who uses Veritone? Veritone's customers named on its site include Amazon, the EPA, the NCAA, FedEx, Hockey Canada, the Pasadena Police Department, Domino's and CBS News and Stations. It serves media, public sector, talent acquisition and healthcare buyers. Veritone pricing Veritone does not publish pricing on its homepage, and deployments are customized. Veritone alternatives Alternatives listed include Submagic, Crayo and Steve AI for video creation, and D-ID for avatar video. Veritone is broader, targeting enterprise media and public sector.
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What is OpenCode? OpenCode is an open source AI coding agent that runs in the terminal, IDE and desktop and automates code writing with language server protocol support. It works with 75+ LLM providers, including Claude, GPT, Gemini and local models. The project reports 208,000+ GitHub stars and 950 contributors. Key capabilities of OpenCode Multi-session: run parallel agent sessions 75+ providers: Models.dev providers plus local models LSP integration: language server protocol awareness Share links: share sessions for collaboration and debugging Account login: use GitHub Copilot or ChatGPT Plus and Pro accounts Privacy: does not store code or context How OpenCode works You install it with a shell command, choose a model provider or sign in with a supported account, and give the agent coding tasks in the terminal UI, an IDE extension or the desktop app. Sessions can run in parallel and be shared by link. Who uses OpenCode? Developers who want a provider-neutral, open source coding agent use OpenCode. The vendor says 16 million developers use it monthly. OpenCode pricing OpenCode itself is open source and free. The site lists Go, Zen (a curated set of models tested for coding agents) and Enterprise tiers, but prices were not shown on the page reviewed. OpenCode alternatives OpenCode is compared with CodeRabbit, JetBrains AI Assistant and Val Town. CodeRabbit focuses on pull request review, and JetBrains AI Assistant is built into JetBrains IDEs.
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What is Letterdrop? Letterdrop is a B2B platform that identifies accounts actively evaluating competitors and ties content marketing and outreach to that buyer intent. Key capabilities of Letterdrop In-market account identification: Finds accounts evaluating competitors. Competitor intent tracking: Covers 900+ verticals. Targeted ads: Run campaigns to specific buyer accounts. Outbound and intercept: Supports sales strategies built on intent. Intent-led content: Create and distribute content tied to buyer intent. How Letterdrop works The platform surfaces which accounts are researching competitors, then marketing teams use those lists to run targeted ad campaigns and publish content, while sales teams use the same insight for outbound and intercept plays. It is positioned for marketing leaders, content marketers and sales leaders. Who uses Letterdrop? B2B marketing leaders, content marketers and sales leaders who want content strategy tied to revenue. A customer case study is offered on request. Letterdrop pricing Pricing is on a separate page or by demo and could not be confirmed here. Letterdrop alternatives MarketMuse, Frase and Outranking help create SEO content, while Rankability and SEOwind optimize on-page content. Letterdrop now leads with competitor intent data.
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What is WellSaid Labs? WellSaid Labs is an enterprise text-to-speech AI agent offering enterprise AI voiceover with licensed voice talent for training and product content. Founded in 2018 and based in Seattle, Washington, USA, WellSaid Labs helps enterprise L&D and product teams automate enterprise text-to-speech work and get results faster. Key capabilities of WellSaid Labs Studio-quality AI voices Pronunciation controls Team collaboration API Voice cloning Multilingual voices How WellSaid Labs works WellSaid Labs takes text as input and produces audio. It is powered by WellSaid (in-house models) models, with the vendor managing prompts, models and updates. It connects to tools such as YouTube, Adobe Premiere Pro, Canva and Zapier, so the agent works inside existing workflows. Who uses WellSaid Labs? WellSaid Labs is built for enterprise L&D and product teams. It suits teams that want studio-quality AI voices and pronunciation controls without adding headcount, while keeping people in control of review and final decisions. WellSaid Labs vs Murf WellSaid Labs is often compared with Murf. WellSaid Labs stands out for studio-quality AI voices and team collaboration. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Autonotes? Autonotes is a therapy progress note AI agent offering an AI tool that writes therapy progress notes and treatment plans from session summaries. Autonotes helps mental health professionals automate therapy progress note work and get results faster. Key capabilities of Autonotes Progress notes Treatment plans Note formats Intake summaries Session note drafting Treatment plan support How Autonotes works Autonotes takes text and voice as input and produces clinical notes. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as SimplePractice, TherapyNotes, Zoom and Google Meet, so the agent works inside existing workflows. Who uses Autonotes? Autonotes is built for mental health professionals. It suits teams that want progress notes and treatment plans without adding headcount, while keeping people in control of review and final decisions. Autonotes vs Mentalyc Autonotes is often compared with Mentalyc. Autonotes stands out for progress notes and note formats. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Ideogram? Ideogram is an AI image generation platform recognized for rendering legible text inside images. It turns text prompts into visuals with accurate typography, which suits posters, logos, social graphics and book covers. Key capabilities of Ideogram Text-to-image generation: Create images from text prompts. In-image text rendering: Legible text and multi-word headlines in images. Typography control: Font and style direction in prompts. Layerize: Editable text layers from generated designs. Custom brand models: Train a model on brand assets. How Ideogram works Users type a prompt describing the image and any text to appear, and Ideogram generates variations that can be refined or remixed. Credits are consumed per generation, with paid plans giving priority credits and more concurrent generations. Layerize converts text into editable layers for finishing in design tools. Who uses Ideogram? Designers, marketers and creators who need images with readable text use Ideogram. Teams use shared plans, and enterprises can buy custom terms. Ideogram pricing Third-party sources report Free at $0 with 10 slow credits per week, Plus at about $20 monthly or $15 annually, Pro at about $60 monthly or $42 annually, and Team at about $30 per user. The vendor pricing page returned an access error. Ideogram alternatives Midjourney is a popular image generator with a distinct style, Adobe Firefly integrates with Creative Cloud, and Canva offers built-in image generation. Ideogram is distinguished by its typography accuracy.
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What is Doppel? Doppel is an AI-native social engineering defense platform. It finds cloned domains, fake profiles and fraudulent marketplace listings that impersonate a brand or its executives, then dismantles the attacker infrastructure through takedowns, training and simulation. Key capabilities of Doppel Impersonation detection: Finds cloned domains, fake profiles and fake listings within minutes of creation. Automated takedowns: Direct integrations with hosts and platforms speed removal. Cross-channel monitoring: Covers web, social, app and dark web. Brand protection: Dedicated product for brand abuse. Training and simulation: Builds employee resilience to social engineering. Audit evidence: Documentation for SOC 2, TPN, MPA, GDPR and CCPA audits. How Doppel works The engine correlates and prioritizes threats across channels, then triggers takedown requests through direct integrations with hosting providers and platforms. Doppel reports a median takedown time under 10 hours. Security and brand teams use the platform to review cases and evidence. Who uses Doppel? Security, fraud and brand protection teams, with industry pages for financial services, media, technology and sports organizations. ARK Invest is a named customer example. Doppel pricing Doppel does not publish pricing on its website. Plans are scoped through the vendor. Doppel alternatives ZeroFox covers external threat and digital risk protection, Netcraft offers takedown and brand protection services, and Proofpoint covers email and brand impersonation. Doppel focuses on AI-driven detection and takedown across channels.
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What is Tavus? Tavus is a conversational video AI company that offers APIs for realistic digital replicas and real-time conversational video agents. Its Conversational Video Interface (CVI) combines vision, turn-taking, rendering, text-to-speech, LLM, speech-to-text and WebRTC components. Key capabilities of Tavus Conversational Video Interface: real-time face-to-face AI agents Custom faces: digital replicas on paid plans Stock faces: 25 included on the free plan White-labeled APIs: included from Basic Concurrent streams: up to 3 on Starter and 10 on Growth PALs: personal AI companions with video calls How Tavus works Developers call the Tavus API to start a CVI session where a digital replica sees, listens and responds in real time. The CVI stack handles vision, turn-taking, rendering, speech and the language model. Usage is metered in minutes, with overage billed per minute beyond the plan allowance. Who uses Tavus? Developers and enterprises building video agents use the developer plans, while individuals use PALs. Enterprise accounts get dedicated support, white labeling, guaranteed SLAs and SOC 2 and HIPAA compliance. Tavus pricing Developer plans: Basic is free with 25 minutes, Starter is $59 a month for 100 minutes, Growth is $397 a month for 1,250 minutes, Enterprise custom. Overage is $0.37 per minute on Starter and $0.32 on Growth. PALs: Free, Plus $20, Max $50 monthly. Tavus alternatives Alternatives include HeyGen for avatar video creation, Colossyan for training videos, D-ID for talking-head avatars, Hour One for presenter videos, and Lensa for photo editing.
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What is SuperAnnotate? SuperAnnotate is an AI data infrastructure platform for annotating, curating and evaluating training data, positioned as built for production. It combines customizable multimodal editors, expert review workflows and a network of expert annotators. Key capabilities of SuperAnnotate Multimodal annotation editors: image, video, text and audio editors that are customizable Multi-layer workflows: expert review stages for quality AI and agent evaluation: supports RLHF, SFT, RAG and agentic workflows Analytics and quality tracking: real-time views of project quality Data curation and exploration: tools to explore datasets Project management: dashboard for teams and projects How SuperAnnotate works Teams create projects with custom annotation forms, assign them through multi-layer workflows with review, and track quality in analytics. Data comes from cloud storage connections, and compute is allocated through Orchestrate in compute hours. The vendor lists SOC 2 Type II and ISO 27001:2022 certifications. Who uses SuperAnnotate? ML and data teams building computer vision and LLM systems use it, from small projects to high-volume recurring programs. Customer results cited include 2x faster time to model and 3x faster annotation time. SuperAnnotate pricing SuperAnnotate lists Starter, Pro and Enterprise tiers but no dollar prices; contact sales or request a demo. Starter includes 1K compute hours, Pro 2.5K with SSO and a customer success manager, and Enterprise 10K with a solutions engineer. SuperAnnotate alternatives Alternatives include Roboflow for computer vision datasets, Dataloop for data pipelines, Kili Technology for annotation, Appen for managed data services, and Sama for managed labeling.
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