AI Agents Marketplace

What is Cerebrium? Cerebrium is a serverless GPU infrastructure AI agent offering serverless GPU infrastructure for deploying AI models and voice agents with low latency. Cerebrium helps AI developers automate serverless GPU infrastructure work and get results faster. Key capabilities of Cerebrium Serverless GPUs Fast cold starts Voice agent hosting Global regions Autoscaling OpenAI-compatible APIs How Cerebrium works Cerebrium takes code and model weights as input and produces APIs. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Python, Docker, Kubernetes and Hugging Face, so the agent works inside existing workflows. Who uses Cerebrium? Cerebrium is built for AI developers. It suits teams that want serverless GPUs and fast cold starts without adding headcount, while keeping people in control of review and final decisions. Cerebrium vs Modal Cerebrium is often compared with Modal. Cerebrium stands out for serverless GPUs and voice agent hosting. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Freckle? Freckle is a command-line interface for go-to-market engineers who build data enrichment and workflow automation from inside coding agents. The vendor positions it as a Clay alternative. Key capabilities of Freckle Waterfall enrichments: Chain email finders and validators in sequence. Workflow orchestration: Multi-step flows such as competitor research and ICP scoring. Signal monitoring: Track job changes and alert CRM or Slack. Reusable templates: 18+ pre-built workflows adapted across clients. 40+ data providers: Access through one CLI. Natural-language workflows: Define flows with coding agents. How Freckle works You install the CLI and describe workflows in natural language through a coding agent such as Claude. Each workflow runs enrichment steps in sequence, for example trying one email finder and then a validator, and pushes results to a CRM like HubSpot or to Slack. Pricing is tied to enriched outputs rather than generic action credits. Who uses Freckle? Freckle is built for GTM engineers and RevOps teams who already work in coding agents and want enrichment without a spreadsheet UI, including agencies that reuse workflows across clients. Freckle pricing Freckle has a Free plan at $0 per month with 250 credits, a Build plan from $99 per month, and Enterprise pricing on contact for usage beyond 500k credits. Freckle alternatives Related tools include Teamfluence, Trigify, Leadbay, Seamless.AI and Instantly, which cover signals, lead data and outreach.

What is fast.ai? fast.ai is an educational organization and open-source project that aims to make deep learning accessible. It publishes free courses, including Practical Deep Learning for Coders, and software such as the fastai library built on PyTorch and nbdev. Key capabilities of fast.ai Practical Deep Learning for Coders: flagship free course fastai library: high-level deep learning library built on PyTorch nbdev: builds Python packages entirely within Jupyter Notebooks Specialized courses: NLP, computational linear algebra and applied data ethics Published book: Practical Deep Learning for Coders with fastai and PyTorch fasttransform and fastdownload: smaller open-source tools How fast.ai works Learners follow the courses in Jupyter notebooks, using fastai to train models with a few lines of code on top of PyTorch. nbdev lets developers write, test and publish packages from notebooks. The organization was co-founded by Jeremy Howard and Rachel Thomas and has joined Answer.AI, a lab building practical products. Who uses fast.ai? Programmers, data scientists and students learning deep learning use the courses and library. Rachel Thomas has focused on AI ethics and education topics. fast.ai pricing The courses and libraries are free and open source. The book is sold through major retailers. There is no paid software plan listed on the site. fast.ai alternatives Alternatives for learning or deploying models include DeepInfra for hosted inference, fal for generative media inference, PaddlePaddle for an open-source deep learning framework, and Modular MAX for model serving.

What is Sedai? Sedai is an autonomous cloud optimization AI agent offering an autonomous cloud platform that uses AI to optimize cost, performance and availability in production. Founded in 2019 and based in San Francisco, California, USA, Sedai helps platform and SRE teams automate autonomous cloud optimization work and get results faster. Key capabilities of Sedai Autonomous rightsizing Performance optimization Availability remediation Kubernetes and serverless support Autonomous actions with guardrails Savings reporting How Sedai works Sedai takes metrics and cloud config as input and produces actions 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 AWS, Google Cloud, Azure and Kubernetes, so the agent works inside existing workflows. Who uses Sedai? Sedai is built for platform and SRE teams. It suits teams that want autonomous rightsizing and performance optimization without adding headcount, while keeping people in control of review and final decisions. Sedai vs CAST AI Sedai is often compared with CAST AI. Sedai stands out for autonomous rightsizing and availability remediation. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Keyplay? Keyplay is an account scoring AI agent offering AI account scoring and research that finds and prioritizes your best-fit accounts. Keyplay helps B2B go-to-market teams automate account scoring work and get results faster. Key capabilities of Keyplay ICP account scoring AI account research Lookalike discovery CRM sync Signal-based workflows How Keyplay works Keyplay takes company data as input and produces scores 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 Salesforce, HubSpot, LinkedIn and Clay, so the agent works inside existing workflows. Who uses Keyplay? Keyplay is built for B2B go-to-market teams. It suits teams that want ICP account scoring and AI account research without adding headcount, while keeping people in control of review and final decisions. Keyplay vs 6sense Keyplay is often compared with 6sense. Keyplay stands out for ICP account scoring and lookalike discovery. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Landbase? Landbase is a go-to-market infrastructure platform that combines GTM data with AI agents so revenue teams can find, qualify and prioritize accounts. The vendor cites 3B+ contact records and native CRM integrations. Key capabilities of Landbase Agentic Search: natural language queries to discover accounts B2B Database: business intelligence data AI Qualification: evaluates accounts against custom criteria Lookalikes: finds companies similar to your best customers Signals: monitors hiring, funding and technology changes AI Agents: autonomous account discovery and qualification How Landbase works Landbase works in five steps: target accounts with data, web signals and lookalikes, qualify fit with agents, prioritize by conversion likelihood, enrich with contact and firmographic data, and automate monitoring for new accounts. Complex natural language queries return in seconds. Who uses Landbase? Revenue, sales and marketing teams. The vendor reports a 49 percent connect rate on targeted campaigns and 189 meetings booked in one month for a customer. Landbase pricing Landbase does not show prices on the homepage content reviewed and points to a pricing page. Landbase alternatives 11x and Artisan sell AI sales development agents, Humantic AI and Oliv AI focus on sales intelligence, and Topo targets pipeline generation. Landbase leads with data and account qualification.

What is Floworks? Floworks is a SDR AI agent offering an autonomous AI SDR that researches leads, writes emails and books meetings. Founded in 2023 and based in Bengaluru, India, Floworks helps SMB and mid-market sales teams automate AI SDR work and get results faster. Key capabilities of Floworks Lead research Email writing Follow-ups Meeting booking CRM integration Analytics and reporting How Floworks works Floworks takes text and CRM data as input and produces text and email. 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 Gmail, so the agent works inside existing workflows. Who uses Floworks? Floworks is built for SMB and mid-market sales teams. It suits teams that want lead research and email writing without adding headcount, while keeping people in control of review and final decisions. Floworks vs AiSDR Floworks is often compared with AiSDR. Floworks stands out for lead research and follow-ups. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Plus AI? Plus AI is an AI presentation tool that works inside Google Slides and PowerPoint, generating and editing slides within the apps you already use. Plans are metered in monthly AI credits. Key capabilities of Plus AI Deck generation: creates presentations from a prompt Slide editing: rewrites and reformats inside Slides and PowerPoint Document upload: builds slides from files on Pro and above AI image generation: available on Pro and above Custom branding: available on Team Shared templates: team-wide on Team How Plus AI works You install Plus AI as an add-in for Google Slides or PowerPoint, describe the deck or upload a document, and it drafts slides you then edit in the normal editor. Each action uses AI credits from your monthly allowance, and Max removes the credit limit. Who uses Plus AI? Consultants, sales teams, founders and educators use it to produce decks faster. Enterprise customers get custom templates, asset libraries and specialized support for presentation work at scale. Plus AI pricing Basic is $10 a month billed annually ($15 monthly) with 1,500 credits. Pro is $20 ($25 monthly) with 3,000 credits, Team is $30 ($40) with 6,000, and Max is $200 ($240) with unlimited credits. All plans start with a 7-day trial of 1,000 credits. Plus AI alternatives Alternatives include SlidesAI for Google Slides generation, Decktopus for template-based decks, Presentations.ai for design-led decks, Pitch for collaborative presentations, and Gamma for web-native slides.

What is Swan AI? Swan AI is an AI-powered revenue operations platform that automates go-to-market work. It acts as a GTM brain that connects to your business systems and builds autonomous agents for sales and marketing tasks. The site is getswan.com. Key capabilities of Swan AI GTM Brain: maintains a live graph of deals, contacts and conversations with full context Autonomous agents: research, qualify, draft communications and route leads Data enrichment: waterfall across 40+ providers for emails, phones, technographics, intent and funding Plain-English workflows: build agents from natural language instructions 40+ integrations: HubSpot, Salesforce, Gmail, LinkedIn, Slack and more Built-in approvals: review outreach before it sends How Swan AI works You describe GTM goals in natural language. Swan agents then research accounts, find and enrich contacts, draft sequences and manage workflows using context from your CRM and communication tools. Outreach goes through built-in approval steps, so a person reviews messages before they are sent. Who uses Swan AI? Revenue, sales and marketing teams that want automation across prospecting and pipeline work use Swan AI. Swan AI pricing Pricing is not listed on the homepage. Swan offers a free 14-day trial with no credit card required, and paid plan details are shared after a demo or trial signup. Swan AI alternatives Swan AI is compared with Apollo.io, Outreach, SmartReach and Reachify. Apollo.io pairs a contact database with sequencing, while Outreach is an enterprise sales engagement platform.

What is Conker? Conker is a quiz generation AI agent offering an AI tool that creates standards-aligned quizzes and question sets for teachers in seconds. Conker helps K-12 teachers automate quiz generation work and get results faster. Key capabilities of Conker Quiz generation Question types Reading passages Google Forms export Rubric-based feedback How Conker works Conker takes text as input and produces quizzes. 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, Google Forms and Microsoft Teams, so the agent works inside existing workflows. Who uses Conker? Conker is built for K-12 teachers. It suits teams that want quiz generation and question types without adding headcount, while keeping people in control of review and final decisions. Conker vs Quizizz Conker is often compared with Quizizz. Conker stands out for quiz generation and reading passages. The right choice depends on your workflow, integrations and budget, so compare both on a real task.