AI Agents Marketplace

What is Squirrel AI? Squirrel AI is an adaptive education platform that combines AI with human instruction. Its Intelligent Adaptive Learning System breaks knowledge into tens of thousands of nano-level learning points and personalizes each lesson. Key capabilities of Squirrel AI Nano-level knowledge mapping: tens of thousands of learning points Adaptive lessons: adjust in real time to strengths and weaknesses Integrated learning loop: assessment, practice, learning, testing and tutoring Smart tablet delivery: lessons on a single device Large Adaptive Model: launched January 2024 Parent analytics: real-time progress tracking How Squirrel AI works The system assesses a student, locates gaps at the level of individual learning points, and serves practice and lessons for those points on a tablet. The Large Adaptive Model, trained on data from over 24 million students and 10 billion learning behaviors, raised question accuracy from 78% to 93% per the vendor. Who uses Squirrel AI? Students and parents use it, mainly through independently operated learning centers, and in the US it currently covers PreK-5 mathematics with plans to expand. The company reports a 51.3 point average score gain. Squirrel AI pricing Squirrel AI uses a flat enrollment fee model similar to gym memberships, and payment options vary by independently operated center. No public price list appeared on the page we read, so contact a local center. Squirrel AI alternatives Alternatives include Khanmigo for AI tutoring from Khan Academy, StudyFetch for AI study tools, Knowt for flashcards, Mindsmith for course authoring, and Gizmo for spaced-repetition study.

What is Hyperbound? Hyperbound is an enterprise AI sales coaching platform where reps practice realistic buyer conversations, have real calls scored, and receive targeted coaching. It is built to replace one-time, certification-style training with a continuous loop tied to deal outcomes. Key capabilities of Hyperbound Hyperbound Practice: AI roleplay with realistic buyers and instant scoring against sales methodologies Hyperbound Perform: records and scores real calls to find coaching gaps per rep Kota Activate: AI agent that surfaces insights from calls and deals and delivers coaching Multilingual support: 25+ languages 14+ integrations: CRM, call recording and collaboration tools How Hyperbound works The platform runs as a revenue activation loop: an event triggers it, real call scoring diagnoses gaps, and personalized practice or live coaching is prescribed. Reps run roleplays against AI buyers, managers see scored results, and the vendor states it does not train on customer data. Who uses Hyperbound? Revenue teams and enablement leaders. The vendor lists Vanta, Klaviyo, JumpCloud, Autodesk, LinkedIn, Amazon and Workday among customers across 40+ countries. Hyperbound pricing Hyperbound does not publish prices on its homepage. Enterprise pricing is arranged through the vendor. Hyperbound alternatives Outreach and Salesloft are sales engagement platforms with some coaching features, Valley focuses on LinkedIn outreach, and SalesRobot automates outbound. Hyperbound is specifically centered on practice and call scoring.

What is LM Studio? LM Studio is a local model runtime AI agent offering a desktop app to discover, download and run open LLMs locally with an OpenAI-compatible server. Founded in 2023 and based in New York, New York, USA, LM Studio helps developers and privacy-minded users automate local model runtime work and get results faster. Key capabilities of LM Studio Model discovery Local inference OpenAI-compatible local server MLX and GGUF support Offline and private use Bring your own model How LM Studio works LM Studio takes text and files as input and produces text. It is powered by Open models (local) models, with the vendor managing prompts, models and updates. It connects to tools such as Ollama, OpenAI API, Anthropic API and Hugging Face, so the agent works inside existing workflows. Who uses LM Studio? LM Studio is built for developers and privacy-minded users. It suits teams that want model discovery and local inference without adding headcount, while keeping people in control of review and final decisions. LM Studio vs Ollama LM Studio is often compared with Ollama. LM Studio stands out for model discovery and OpenAI-compatible local server. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Remini? Remini is an AI photo and video enhancement app that turns old, pixelated, blurred or damaged pictures into higher-definition versions. It is operated by AI Creativity S.r.l. of Milan, a subsidiary of Bending Spoons S.p.A. Users upload photos or videos through the web app or mobile apps and receive enhanced results. Key capabilities of Remini Photo enhancement: sharpens and upscales blurry or low-resolution photos Photo restoration: repairs old or damaged pictures Face enhancement: improves facial detail in portraits Video enhancement: applies enhancement to uploaded videos One-tap workflow: enhancement runs from a single action Web and mobile access: available in a web app and mobile apps How Remini works You upload a photo or video, choose an enhancement option and Remini processes it with AI models in the cloud, returning an upgraded file. The free version limits how many photos can be enhanced per day and shows ads; subscribing removes the daily cap and ads. Who uses Remini? Individuals restoring family photos, social media users improving portraits and small creators use Remini for quick enhancement without editing skills. Remini pricing Remini has a free tier with daily limits and ads, plus paid subscriptions. Published store prices vary by region and plan, so check the app store or website for current rates. Remini alternatives Remini is compared with Recraft, Krea and Playground. Those tools center on AI image generation, while Remini centers on enhancing photos you already have.

What is Smith.ai? Smith.ai is a virtual receptionist service that staffs calls with expert agents around the clock, handling lead screening, qualification and intake. Plans are priced by the number of calls included each month. Key capabilities of Smith.ai Live-staffed 24/7: expert agents answer around the clock Lead screening and qualification: filters and qualifies callers Intake: captures caller details Dedicated phone number: included at no extra cost Appointment booking: add-on at $1.50 per call Add-ons: call recording, SMS notifications, Spanish-language service and payment processing How Smith.ai works Calls to your dedicated number are answered by Smith.ai agents who screen, qualify and take intake details, then route or notify you by transfer or SMS. Optional features are billed per call, and spam calls do not count toward the plan quota. Who uses Smith.ai? Small and mid-sized businesses and professional practices that need reliable call coverage without staffing a front desk. Smith.ai pricing Starter is $300 per month for 30 calls, Basic $810 for 90 calls, Pro $2,100 for 300 calls, and Enterprise is custom. Extras include booking at $1.50 per call. Annual prepay gives 10 percent off. Smith.ai alternatives Replicant targets contact center automation, while Speechmatics, Resemble AI and WellSaid Labs are speech technology tools. Smith.ai is distinct as a staffed receptionist service.

What is Earnix? Earnix is an insurance and banking pricing AI AI agent offering AI-driven pricing, rating and personalization for insurers and banks. Founded in 2001 and based in Givatayim, Israel, Earnix helps P&C insurers and banks automate insurance and banking pricing AI work and get results faster. Key capabilities of Earnix Pricing optimization Rating engine Product personalization Model governance Explainable models Core system integration How Earnix works Earnix takes policy and customer data as input and produces prices 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 Guidewire, Duck Creek, Salesforce and NetSuite, so the agent works inside existing workflows. Who uses Earnix? Earnix is built for P&C insurers and banks. It suits teams that want pricing optimization and rating engine without adding headcount, while keeping people in control of review and final decisions. Earnix vs Akur8 Earnix is often compared with Akur8. Earnix stands out for pricing optimization and product personalization. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Parallel? Parallel provides web search and research APIs built for AI agents. It maintains a proprietary web index of billions of pages, updated daily, so agents can retrieve current, cited information beyond an LLM's training cutoff. Key capabilities of Parallel Search API: ranked URLs and excerpts in real time Extract API: converts URLs, PDFs and JavaScript-heavy sites into clean markdown Task API: structured deep research with citations and confidence scores FindAll API: builds datasets of entities from natural language Monitor API: tracks web changes and sends webhook alerts Responses API: synthesized, cited answers at conversational speed How Parallel works A developer calls an endpoint with a query or URL and gets structured, cited output. Search grounds an agent with fresh excerpts, Task runs multi-step research with confidence scores, and Monitor pushes webhooks when pages change. Who uses Parallel? Developers building agents and enterprise teams in legal, finance and other fields. The vendor lists Harvey, Notion, Pfizer, Dropbox, LangChain and Replit as customers. Parallel pricing Pricing is per request, starting at $1 per 1,000 requests. The free tier includes a $5 monthly allowance plus signup credit, and up to 5,000 free requests per month for new accounts. Enterprise agreements are custom. Parallel alternatives Exa and Tavily are search APIs for agents, Brave Search API offers an independent index, and Perplexity provides search-grounded answers.

What is Unsloth? Unsloth is a fast fine-tuning AI agent offering an open-source library that makes LLM fine-tuning and reinforcement learning faster with less memory. Founded in 2023 and based in San Francisco, California, USA, Unsloth helps developers fine-tuning open models automate fast fine-tuning work and get results faster. Key capabilities of Unsloth Faster fine-tuning Lower memory use RL training Dynamic quantized models Open weights or APIs Efficient training How Unsloth works Unsloth takes text and data as input and produces models. It is powered by Open models models, with the vendor managing prompts, models and updates. It connects to tools such as Hugging Face, Python, PyTorch and AWS, so the agent works inside existing workflows. Who uses Unsloth? Unsloth is built for developers fine-tuning open models. It suits teams that want faster fine-tuning and lower memory use without adding headcount, while keeping people in control of review and final decisions. Unsloth vs Axolotl Unsloth is often compared with Axolotl. Unsloth stands out for faster fine-tuning and RL training. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is JetBrains AI Assistant? JetBrains AI Assistant is the AI layer built into JetBrains IDEs such as IntelliJ IDEA, PyCharm and WebStorm. It provides in-IDE chat, code completion, test generation and refactoring help, plus Junie, JetBrains' coding agent. Key capabilities of JetBrains AI Assistant In-IDE chat: Ask questions about code with project context inside the IDE. Code completion: Suggestions as you type, including local model completion. Junie agent tasks: A coding agent that plans and carries out multi-step tasks. Refactoring help: AI-assisted explanations and refactors that use the IDE's code insight. Test generation: Generate unit tests for selected code. How JetBrains AI Assistant works AI Assistant runs inside the JetBrains IDE, so it can use the IDE's project index and code analysis alongside a language model. Developers pick models from several providers, and Junie executes multi-step tasks in the project with changes shown for review. Usage is measured in AI credits that refresh every 30 days. Who uses JetBrains AI Assistant? Developers already working in JetBrains IDEs use it, including teams that want AI inside the same tools without switching editors. Organization plans add per-seat licensing for companies. JetBrains AI Assistant pricing Third-party sources report AI Free at $0 with 3 AI credits per 30 days, AI Pro at $10 with 10 credits, and AI Ultimate at $30 with 35 credits, with organization seats at $20 and $60 per 30 days. Annual billing is reported at about 17 percent off. JetBrains AI Assistant alternatives GitHub Copilot supports JetBrains IDEs among many editors, Sweep is a JetBrains-only plugin, and Cursor is a separate AI-native editor. JetBrains AI Assistant is distinguished by deep integration with IDE code insight.

What is OpenRead? OpenRead is an AI-powered research platform that helps users discover, analyze and manage academic papers. It combines paper search, question answering, cross-paper comparison and note-taking in one workspace. Key capabilities of OpenRead AI paper search: papers from 20,000+ journals, updated every 5 minutes Paper Q&A: ask questions about a paper Paper comparison: compare findings across papers to spot contradictions Oat chat: OpenRead AI Technology chat with top-tier models and diagram drawing Trending papers: discover popular work in your field Notes: organize research with integrated note-taking How OpenRead works You search the paper index, open a paper and ask questions about it, or select several papers to compare findings and contradictions. Oat, the chat interface, supports homework help, diagram drawing and image editing with top-tier models. Notes live alongside the papers so reading and writing stay in one place. Who uses OpenRead? OpenRead is aimed at researchers and students who read many papers and want help summarizing and comparing them. It maintains a free tier and a Pro tier. OpenRead pricing OpenRead offers Free and Pro tiers. Pro pricing was not available from the pages reviewed, so see the vendor pricing page for the current monthly or annual rate. OpenRead alternatives Alternatives include Humata for document Q&A, Litmaps for citation mapping and literature discovery, and Explainpaper for explaining highlighted text.