Get a recommendation
Tell us your requirements and our advisors will help you compare and shortlist the best-fit options, free and unbiased.
A real human, fast
Someone on our team replies within one business day, no bots, no ticket queue.
Routed to the right team
Buying, selling, partnering, or investing, you reach the people who can actually help.
Independent & unbiased
No pushy sales. Just honest guidance grounded in the ecosystem.
Tailored to your context
Tell us what you need and we shape the next steps around it.
Who are you? Pick the option that fits best.
1,943 Listings in AI Agents Available
What is Polymerize? Polymerize is an AI-native platform for materials and chemicals R&D that unifies data and predicts and designs formulations. Key capabilities of Polymerize Polymerize Connect: Centralizes experimental data across global teams. Polymerize Labs: 35+ domain-specific models for property prediction and formulation optimization. Polymerize One: Platform plus prototyping networks and expert consultation. Explainable AI: Recommendations with transparency and confidence scores. How Polymerize works The system unifies fragmented experimental data, applies domain-trained models built for polymers and chemicals, and returns explainable recommendations with confidence scores. Security includes end-to-end encryption and role-based access controls. Who uses Polymerize? R&D teams in materials and chemicals. The vendor cites 500+ teams across 12 industries including REHAU, Maxell, Samyang and Meraxis, and reports 50% fewer failed experiments within 3 months. Polymerize pricing Pricing is not disclosed. Companies request a demo. Polymerize alternatives Rowan and Tamarind Bio offer computational chemistry and biology tooling, and Semantic Scholar and Connected Papers help with literature. Polymerize focuses on formulations.
Capabilities
Deployment
Compliance
What is Carnegie Learning? Carnegie Learning is a K-12 curriculum and tutoring AI agent offering AI-powered K-12 math, literacy and language curriculum with adaptive tutoring. Founded in 1998 and based in Pittsburgh, Pennsylvania, USA, Carnegie Learning helps K-12 schools and districts automate K-12 curriculum and tutoring work and get results faster. Key capabilities of Carnegie Learning Adaptive math tutoring Literacy and ELA World languages Teacher dashboards Standards alignment Progress analytics How Carnegie Learning works Carnegie Learning takes student responses as input and produces feedback 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 Google Classroom, Canvas LMS, Schoology and Microsoft Teams, so the agent works inside existing workflows. Who uses Carnegie Learning? Carnegie Learning is built for K-12 schools and districts. It suits teams that want adaptive math tutoring and literacy and ELA without adding headcount, while keeping people in control of review and final decisions. Carnegie Learning vs Khanmigo Carnegie Learning is often compared with Khanmigo. Carnegie Learning stands out for adaptive math tutoring and world languages. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
Capabilities
Deployment
Compliance
What is Polycam? Polycam is an AI reality capture platform for professionals that documents spaces and objects as 3D models. It runs on iOS, Android and the web and turns photos, LiDAR scans and drone footage into models, floor plans and Gaussian splats. Key capabilities of Polycam Spatial capture: 3D models of rooms and interiors. Object capture: Shareable 3D models of single items. Floor plans: 2D plans with measurements. Drone and aerial: Turn drone footage into 3D models. Free web tools: AI 3D model generator, texture generator, photogrammetry and Gaussian splatting. Exports: AutoCAD, Maya, FBX, GLTF, Unity, Blender, Unreal Engine and Xactimate. How Polycam works You capture a space or object with a phone using photogrammetry or LiDAR, or upload photos and drone footage, and Polycam processes it into a 3D model, floor plan or Gaussian splat. Results can be measured, shared, turned into virtual walkthroughs or exported to design and game software. Who uses Polycam? Professionals in architecture, engineering and construction, real estate, healthcare, retail, forensics, product design, oil and gas, and solar and renewable energy. Polycam pricing There is a Basic free tier, a Business plan with a free 7-day trial, and custom Enterprise pricing. Third-party listings cite Business at $400 per user per year, about $33 per month. Polycam alternatives Related tools in the vision and capture space include Voxel51, Twelve Labs, Everseen, Standard AI and Sighthound, which focus on video and retail analytics rather than 3D capture.
Capabilities
Deployment
Compliance
What is Leonardo.Ai? Leonardo.Ai is an asset generation AI agent offering an AI image and video platform for creative production and game assets (part of Canva). Founded in 2022 and based in Sydney, Australia, Leonardo.Ai helps creators, game studios and marketers automate asset generation work and get results faster. Key capabilities of Leonardo.Ai Image and video generation Consistent characters Real-time canvas Model training Commercial usage rights Upscaling and variations How Leonardo.Ai works Leonardo.Ai takes text and image as input and produces image and video. It is powered by Leonardo Phoenix and partner models models, with the vendor managing prompts, models and updates. It connects to tools such as Adobe Photoshop, Figma, Canva and Discord, so the agent works inside existing workflows. Who uses Leonardo.Ai? Leonardo.Ai is built for creators, game studios and marketers. It suits teams that want image and video generation and consistent characters without adding headcount, while keeping people in control of review and final decisions. Leonardo.Ai vs Midjourney Leonardo.Ai is often compared with Midjourney. Leonardo.Ai stands out for image and video generation and real-time canvas. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
Capabilities
Deployment
Compliance
What is Third Space Learning? Third Space Learning is a maths tutoring AI agent offering a maths intervention provider whose AI tutor Skye delivers one-to-one spoken maths lessons to pupils. Founded in 2013 and based in London, United Kingdom, Third Space Learning helps primary and secondary schools automate maths tutoring work and get results faster. Key capabilities of Third Space Learning AI spoken maths tutoring Curriculum-aligned lessons Progress reports School dashboards Curriculum-aligned content Personalized practice How Third Space Learning works Third Space Learning takes voice as input and produces voice 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 Google Classroom, Microsoft Teams, Canvas and Moodle, so the agent works inside existing workflows. Who uses Third Space Learning? Third Space Learning is built for primary and secondary schools. It suits teams that want AI spoken maths tutoring and curriculum-aligned lessons without adding headcount, while keeping people in control of review and final decisions. Third Space Learning vs Eedi Third Space Learning is often compared with Eedi. Third Space Learning stands out for AI spoken maths tutoring and progress reports. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
Capabilities
Deployment
Compliance
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.
Capabilities
Deployment
Compliance
What is Zoho Zia? Zoho Zia is the AI assistant and agent layer built into the Zoho product suite. Zoho describes Zia as working both proactively in the background and reactively when a user asks, and groups it into three parts: Zia Agents, Zia Chat and Zia Skills. Key capabilities of Zoho Zia Zia Chat: A conversational interface that Zoho says understands context, answers questions and acts on the user's behalf Zia Agents: Purpose-built agents aimed at specific business processes inside Zoho apps Zia Skills: AI features embedded across the Zoho product line rather than sold as a separate tool Predictions and anomaly detection: Surfaces forecasts and unusual patterns in business data inside Zoho apps Private data handling: Zoho says Zia runs on customer data without exposing it to external vendors' models How Zoho Zia works Zia sits inside Zoho apps such as CRM, Desk and Books, so a user asks a question or triggers an agent from the application they already work in. Zia reads the data held across the Zoho ecosystem and returns answers, content or actions. Zoho states that it owns its full technology stack from infrastructure to applications and uses no third-party data processors. Zoho does not publish the models behind Zia. Who uses Zoho Zia? Zia is aimed at organizations already running Zoho products who want AI inside those tools instead of adding a separate assistant. Zoho CRM, Desk and Books users are the typical audience. Zoho Zia pricing Zoho positions AI as an inherent part of its software ecosystem rather than charging per-use fees for it. Zoho lists no standalone Zia price, so cost follows the underlying Zoho subscription. Zoho Zia alternatives Close alternatives include Microsoft 365 Copilot for Microsoft-centric teams, Gemini for Google Workspace for Google-centric teams, and Amazon Q Business for AWS-heavy organizations that want an enterprise search assistant.
Deployment
Compliance
What is Hyperbolic? Hyperbolic is an open-access AI cloud AI agent offering an AI cloud offering affordable GPU rental and inference for open-source models. Founded in 2022 and based in San Francisco, California, USA, Hyperbolic helps developers and researchers automate open-access AI cloud work and get results faster. Key capabilities of Hyperbolic GPU marketplace Open model inference Base model access Pay-as-you-go Pay-as-you-go pricing OpenAI-compatible APIs How Hyperbolic works Hyperbolic takes text and code as input and produces text and compute. It is powered by Open-source models models, with the vendor managing prompts, models and updates. It connects to tools such as Python, PyTorch, Hugging Face and Docker, so the agent works inside existing workflows. Who uses Hyperbolic? Hyperbolic is built for developers and researchers. It suits teams that want GPU marketplace and open model inference without adding headcount, while keeping people in control of review and final decisions. Hyperbolic vs Vast.ai Hyperbolic is often compared with Vast.ai. Hyperbolic stands out for GPU marketplace and base model access. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
Deployment
Compliance
What is Corgea? Corgea is a security code fixes AI agent offering an AI application security tool that finds vulnerabilities and generates secure code fixes. Founded in 2023 and based in San Francisco, California, USA, Corgea helps application security and engineering teams automate AI security code fixes work and get results faster. Key capabilities of Corgea AI SAST False positive reduction Auto-generated fixes Policy-based scanning Inline PR comments Custom review rules How Corgea works Corgea takes code as input and produces code 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 GitHub, GitLab, Bitbucket and Jira, so the agent works inside existing workflows. Who uses Corgea? Corgea is built for application security and engineering teams. It suits teams that want AI SAST and false positive reduction without adding headcount, while keeping people in control of review and final decisions. Corgea vs Snyk Corgea is often compared with Snyk. Corgea stands out for AI SAST and auto-generated fixes. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
Deployment
Compliance
What is Verbit? Verbit is a transcription and captioning AI agent offering AI-powered transcription, captioning and translation with human verification for enterprises and media. Founded in 2016 and based in New York, New York, USA, Verbit helps education, legal, media and enterprise automate AI transcription and captioning work and get results faster. Key capabilities of Verbit Hybrid AI and human transcription Live captioning Legal transcription Audio description Human-verified accuracy Caption file exports How Verbit works Verbit takes audio and video as input and produces text. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as YouTube, Zoom, Vimeo and Brightcove, so the agent works inside existing workflows. Who uses Verbit? Verbit is built for education, legal, media and enterprise. It suits teams that want hybrid AI and human transcription and live captioning without adding headcount, while keeping people in control of review and final decisions. Verbit vs Rev Verbit is often compared with Rev. Verbit stands out for hybrid AI and human transcription and legal transcription. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
Capabilities
Deployment
Compliance
What is Codebuff? Codebuff is a terminal-based AI coding assistant that edits code across a whole repository from natural language instructions. It installs through npm and is backed by Y Combinator. Key capabilities of Codebuff Codebuff indexing: Indexes the codebase in about 2 seconds to map structure and dependencies Multi-file edits: Makes targeted edits that follow the existing code style Terminal-native: Runs inside the terminal with no editor plugin required Any stack: Works across languages and frameworks Credit preview: Shows expected credit use before a task runs BuffBench: Evaluated on a 175-plus task benchmark for completion, efficiency and quality How Codebuff works You run Codebuff in a project directory, describe a change in plain language, and it reads the indexed codebase, proposes edits across files and applies them in your working tree. Usage is metered in credits that scale with task complexity, and you can preview consumption before a run. Who uses Codebuff? Codebuff is aimed at developers who prefer a command line workflow and want an agent that understands the whole repository. Founders on the site describe using it for large refactors. Codebuff pricing Subscriptions are $100 per month for 1x usage, $200 per month for 2.5x usage and $500 per month for 7x usage, all cancellable anytime. A pay-as-you-go option costs 1 cent per credit with no subscription. Taxes vary by location and are not included. Codebuff alternatives Alternatives include Claude Code and Gemini Code Assist for terminal and IDE work, JetBrains AI Assistant for JetBrains users, and AskCodi for multi-model coding help.
Deployment
Compliance
What is Lusha? Lusha is a contact data AI agent offering a B2B contact and company data platform with AI prospecting and enrichment. Founded in 2016 and based in New York, New York, USA, Lusha helps sales teams and recruiters automate contact data work and get results faster. Key capabilities of Lusha Contact and company data AI prospecting Chrome extension CRM enrichment Buying signals How Lusha works Lusha takes search filters as input and produces contact data. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce, HubSpot, LinkedIn and Outreach, so the agent works inside existing workflows. Who uses Lusha? Lusha is built for sales teams and recruiters. It suits teams that want contact and company data and AI prospecting without adding headcount, while keeping people in control of review and final decisions. Lusha vs Apollo.io Lusha is often compared with Apollo.io. Lusha stands out for contact and company data and Chrome extension. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
Deployment
Compliance
