AI Agents Marketplace

What is Fireflies.ai? Fireflies.ai is an AI meeting assistant that records, transcribes and summarizes calls across Zoom, Google Meet, Microsoft Teams and 10+ other platforms. It adds a searchable call library, analytics and CRM and app integrations. Key capabilities of Fireflies.ai Meeting transcription: real-time transcription in 100+ languages AI summaries: automatic notes and action items Conversation analytics: meeting and conversation insights Searchable call library: search within meetings and across the workspace CRM auto-fill: updates CRM records Video recording: available on Pro and Business How Fireflies.ai works Fireflies joins calls on Zoom, Google Meet, Microsoft Teams and other platforms, records and transcribes them, then generates summaries and analytics. Transcripts become searchable across the workspace. According to third-party pricing guides, plans meter storage and AI credits rather than transcription minutes. Who uses Fireflies.ai? Sales, recruiting, customer success and operations teams use it. The vendor offers volume discounts for teams above 50 members and dedicated support on Enterprise. Fireflies.ai pricing The vendor page we read did not list prices. Third-party guides report Free at $0, Pro at $10 per user a month, Business $19 and Enterprise $39 billed annually, with monthly billing of about $18 for Pro and $29 for Business. Verify on the vendor site. Fireflies.ai alternatives Alternatives include tl;dv for meeting recording and clips, Jiminny for sales call coaching, Observe.AI for contact center analytics, Salesloft Conversations for revenue calls, and ExecVision for conversation intelligence.

What is Graphite Note? Graphite Note is a no-code predictive analytics platform for business analysts and small and midsize teams. It builds models for churn, lead scoring and demand forecasting from tabular data and adds decision impact analysis and prescriptive recommendations. The company is based in Zagreb, Croatia. Key capabilities of Graphite Note No-code model building: create predictive models from tabular data without writing code Churn and lead scoring: ready-made templates for customer retention and sales prioritization Demand forecasting: time series forecasts for planning and inventory decisions Causal modeling: answers what-if questions about the impact of a decision, not only what will happen Explainable predictions: shows which factors drive each prediction Prescriptive playbooks: turns predictions into recommended actions that can be activated in other tools How Graphite Note works Users connect or upload tabular data from sources such as Snowflake, BigQuery, Databricks, Salesforce or HubSpot, pick a predictive template, and Graphite Note trains and evaluates a model automatically. Results come with explanations of the driving factors and, on higher tiers, causal impact analysis and playbooks. Analysts review model outputs before acting on them. Who uses Graphite Note? Business analysts, marketing, sales and operations teams at small and midsize companies use Graphite Note when they need predictions without a data science team. Enterprise buyers get onboarding and managed services. Graphite Note pricing A free Sandbox tier offers predictive templates only, without causal modeling, production data or multi-user workspaces. Third-party sources report paid plans of roughly $100 to $499 per month and an Enterprise plan from $50,000 per year, but the vendor pricing page could not be fetched, so confirm current rates. Graphite Note alternatives Graphite Note is compared with Obviously AI, Qlik AutoML, Kumo, Nixtla and Unit8. Obviously AI is also no-code; Nixtla focuses on time series forecasting libraries and Kumo on relational data models.

What is Hamming AI? Hamming AI is a platform for testing, red-teaming and monitoring voice and chat agents before and after production launch. It generates scenarios from an agent's prompt and runs them at scale. Key capabilities of Hamming AI Automated testing: Auto-generates 1,000+ test scenarios from agent prompts Concurrent calls: Runs 50K+ concurrent test calls Red teaming: Tests prompt injection, jailbreaks, PII leakage and policy violations Production monitoring: 24/7 monitoring with drift detection and human alerts 65+ languages: Covers regional accents Regression tests: Turns production failures into permanent tests through CI/CD How Hamming AI works You connect an agent through Vapi, Retell, ElevenLabs or a direct API. Hamming auto-generates test scenarios and red-team probes, runs concurrent test calls, then monitors live traffic. Failures from production can become regression tests in CI/CD. The vendor reports 95 to 96 percent agreement with human evaluators. Who uses Hamming AI? Teams shipping voice and chat agents. Named customers include Luma Health, Netomi, Maven AGI and Ellipsis Health, and Hamming reports 10K+ agents monitored. Hamming AI pricing Hamming does not disclose pricing on its page and links to a demo or signup. It lists SOC 2 Type II certification and HIPAA compliance, with a BAA available. Hamming AI alternatives Alternatives include Cekura for voice and chat agent QA, Coval for simulation and evaluation, and Okareo for LLM testing.

What is Kiro? Kiro is a spec-driven development AI agent offering an agentic IDE from AWS that turns prompts into specs, designs and tasks before generating code. Founded in 2025 and based in Seattle, Washington, USA, Kiro helps developers and engineering teams automate spec-driven development work and get results faster. Key capabilities of Kiro Spec-driven development Agent hooks Task planning IDE with agent chat Repository context Pull request workflows How Kiro works Kiro takes text and code as input and produces code and documents. It is powered by Anthropic Claude models, with the vendor managing prompts, models and updates. It connects to tools such as GitHub, GitLab, VS Code and JetBrains, so the agent works inside existing workflows. Who uses Kiro? Kiro is built for developers and engineering teams. It suits teams that want spec-driven development and agent hooks without adding headcount, while keeping people in control of review and final decisions. Kiro vs Cursor Kiro is often compared with Cursor. Kiro stands out for spec-driven development and task planning. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Gemini for Google Workspace? Gemini for Google Workspace is Google's AI assistant built into Gmail, Docs, Meet and other Workspace apps. Gemini is now bundled into paid Workspace plans instead of being sold only as a separate add-on. Key capabilities of Gemini for Google Workspace Gemini in Gmail: AI assistant for email, included from Business Starter Gemini in Docs and Meet: Full assistance across Docs, Meet and more on Standard and above Gemini app: Access to Google's advanced models in the Gemini app Gemini Notebook: Included on Standard according to the plan page Enterprise-grade security: Stated on the Starter plan listing Expanded security and compliance: Additional controls on Enterprise How Gemini for Google Workspace works A user opens Gemini inside a Workspace app, asks for a draft, summary or answer, and Gemini responds using content the user has access to in that app. Google's plan page says Starter includes Gemini in Gmail with limited access, while Standard and Enterprise expand it to Docs, Meet and more plus the Gemini app. Who uses Gemini for Google Workspace? Organizations already on Google Workspace that want AI in daily email, documents and meetings without a separate product. Gemini for Google Workspace pricing The Google plan page shows INR pricing: Starter at 270 per user per month, Standard at 864 for the first 20 users for 12 months (list 1,080), and Enterprise custom, billed monthly. Third-party sources report USD rates on annual commitment of $7, $14 and $22 per user per month for Starter, Standard and Plus. Gemini for Google Workspace alternatives Alternatives include Microsoft 365 Copilot for Microsoft apps, Zoho Zia for Zoho users, and ChatGPT Enterprise for a standalone assistant.

What is Modjo? Modjo is an AI revenue intelligence platform that captures business conversations, transcribes calls, updates CRM records automatically and surfaces signals across the sales cycle. The vendor says more than 600 B2B revenue teams use it. Key capabilities of Modjo Call transcription: supports 100+ languages CRM auto-update: summarizes calls and fills CRM fields AI sales agents: ready-made or customizable agents for coaching and deal management Ask Modjo AI: instant answers about deals, prospects and conversations Signal detection: flags expansion opportunities, churn risks and competitor mentions Modjo MCP: brings revenue intelligence into other AI tools How Modjo works Modjo connects to phone and video tools, email and calendars to capture conversations, then transcribes and analyzes them. It writes summaries and field updates to Salesforce or HubSpot, and a Chrome extension exposes data inside the CRM. An open API and MCP server let other tools query it. Who uses Modjo? B2B sales, customer success and revenue operations teams, especially European ones. The vendor names Qonto, Spendesk, Doctolib and Pennylane among customers. Modjo pricing Pricing is based on recording licenses for users whose calls are recorded and analyzed. Listener licenses for managers and leaders are unlimited and included at no extra cost, and all subscriptions get full feature access. The vendor does not publish a price per seat. Modjo alternatives Gong is the best known conversation intelligence platform, Revenue.io adds real-time guidance, Invoca focuses on call tracking, and Marchex analyzes calls for marketers.

What is FeedHive? FeedHive is a social scheduling AI agent offering an AI-powered social media scheduling tool with content recycling and performance prediction. Founded in 2021 and based in Copenhagen, Denmark, FeedHive helps creators and small teams automate social scheduling work and get results faster. Key capabilities of FeedHive AI writing assistant Performance prediction Content recycling Conditional posting Content calendar Engagement analytics How FeedHive works FeedHive takes text and image as input and produces posts 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 LinkedIn, X (Twitter), Instagram and Facebook, so the agent works inside existing workflows. Who uses FeedHive? FeedHive is built for creators and small teams. It suits teams that want AI writing assistant and performance prediction without adding headcount, while keeping people in control of review and final decisions. FeedHive vs Typefully FeedHive is often compared with Typefully. FeedHive stands out for AI writing assistant and content recycling. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Google Agentspace? Google Agentspace is an enterprise search and agents AI agent offering Google enterprise platform for AI search and agents across company data and apps. Founded in 2024 and based in Mountain View, California, USA, Google Agentspace helps enterprises on Google Cloud automate enterprise search and agents work and get results faster. Key capabilities of Google Agentspace Enterprise search Gemini-powered agents Agent gallery Connectors Permission-aware answers Enterprise admin controls How Google Agentspace works Google Agentspace takes text and documents as input and produces text and actions. It is powered by Google Gemini models, with the vendor managing prompts, models and updates. It connects to tools such as Microsoft 365, Google Workspace, Slack and Salesforce, so the agent works inside existing workflows. Who uses Google Agentspace? Google Agentspace is built for enterprises on Google Cloud. It suits teams that want enterprise search and Gemini-powered agents without adding headcount, while keeping people in control of review and final decisions. Google Agentspace vs Glean Google Agentspace is often compared with Glean. Google Agentspace stands out for enterprise search and agent gallery. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Algomatic? Algomatic is an AI agent AI agent offering a Japanese startup building vertical AI agents for recruiting, sales and operations. Founded in 2023 and based in Tokyo, Japan, Algomatic helps Japanese businesses automate AI agent work and get results faster. Key capabilities of Algomatic Recruiting agents Sales automation Document generation Business workflows Japanese document processing Enterprise workflows How Algomatic works Algomatic takes text as input and produces text and actions. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Microsoft 365, Slack, Salesforce and kintone, so the agent works inside existing workflows. Who uses Algomatic? Algomatic is built for Japanese businesses. It suits teams that want recruiting agents and sales automation without adding headcount, while keeping people in control of review and final decisions. Algomatic vs ExaWizards Algomatic is often compared with ExaWizards. Algomatic stands out for recruiting agents and document generation. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Seldon? Seldon is a Kubernetes-native MLOps company whose Seldon Core 2 framework deploys, manages and scales traditional ML models and LLM applications. Its MLServer inference server is open source, and REST and gRPC inference follows the Open Inference Protocol. Key capabilities of Seldon Kubernetes model serving: deploys models at scale MLServer: open-source inference server for multiple frameworks Monitoring and drift: observes production models Explainability: explains predictions via Alibi LLM deployment: supports LLM applications Multi-model serving: runs many models efficiently How Seldon works Teams define models and pipelines in Kubernetes and Seldon Core 2 serves them through REST or gRPC endpoints that follow the Open Inference Protocol. MLServer runs the models, with multi-model serving. Monitoring and explainability components help watch drift and understand predictions. Seldon Core 2 was released in January 2024 under the Business Source License. Who uses Seldon? ML platform and MLOps teams running models on Kubernetes use it. Enterprises can choose Seldon Enterprise Platform or Core+ for support and unlimited models and users. Seldon pricing MLServer is free under Apache 2.0, and Seldon Core 2 is source-available under BSL 1.1 that converts to Apache 2.0 four years after each version. Seldon Enterprise Platform and Core+ use custom annual pricing. Third-party sources report these figures. Seldon alternatives Alternatives include ZenML for pipeline orchestration, Evidently AI for monitoring and drift, Amazon SageMaker for managed ML on AWS, Vertex AI for managed ML on Google Cloud, and Hugging Face for model hosting.