AI Agents Marketplace

What is Salesloft Conversations? Salesloft Conversations is the conversation intelligence product in the Salesloft revenue platform. It records sales calls and surfaces buyer and seller insights, alongside Cadence for engagement and Deals for opportunity management. Key capabilities of Salesloft Conversations Call recording: Capture buyer and seller conversations. Conversation insights: Buyer and seller insights from call content. Sales engagement link: Works with Cadence for pipeline building. Deal context: Connects with Deals for opportunity management. Forecast connection: Sits alongside Clari Forecast. How Salesloft Conversations works Calls are captured and analyzed so reps and managers can review what buyers said. Insights sit next to Cadence, Deals, Inspect and Clari Forecast inside the Salesloft platform. The vendor's login page lists Conversations via Clari's copilot platform, so access follows the Clari integration. Who uses Salesloft Conversations? Revenue teams that already use Salesloft for sales engagement and forecasting use Conversations to review calls. Managers use the insights to inspect pipeline. Salesloft Conversations pricing The vendor homepage does not publish pricing for Conversations, so cost is quote-based. Salesloft Conversations alternatives Invoca specializes in call tracking and analytics, Modjo provides conversation intelligence for sales teams, and tl;dv records and summarizes meetings. Salesloft Conversations is tied to the Salesloft engagement platform.

What is Feedzai? Feedzai is a financial crime AI AI agent offering an AI platform for fraud prevention and anti-money laundering across the customer lifecycle. Founded in 2011 and based in San Mateo, California, USA, Feedzai helps banks, processors and merchants automate financial crime AI work and get results faster. Key capabilities of Feedzai Real-time fraud detection AML monitoring Behavioral biometrics Risk orchestration Explainable alerts Audit-ready case notes How Feedzai works Feedzai takes transaction data as input and produces scores and alerts. It is powered by Feedzai (in-house models) models, with the vendor managing prompts, models and updates. It connects to tools such as Core banking systems, Salesforce, Snowflake and REST APIs, so the agent works inside existing workflows. Who uses Feedzai? Feedzai is built for banks, processors and merchants. It suits teams that want real-time fraud detection and AML monitoring without adding headcount, while keeping people in control of review and final decisions. Feedzai vs Sardine Feedzai is often compared with Sardine. Feedzai stands out for real-time fraud detection and behavioral biometrics. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Reachify? Reachify is an AI SDR AI agent offering an AI SDR that prospects, writes personalized emails and follows up automatically. Reachify helps startups and SMB sales teams automate AI SDR work and get results faster. Key capabilities of Reachify Lead sourcing AI email writing Follow-up sequences Meeting booking CRM sync Signal alerts How Reachify works Reachify takes text and lead data as input and produces 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 Reachify? Reachify is built for startups and SMB sales teams. It suits teams that want lead sourcing and AI email writing without adding headcount, while keeping people in control of review and final decisions. Reachify vs AiSDR Reachify is often compared with AiSDR. Reachify stands out for lead sourcing and follow-up sequences. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is ScaleOps? ScaleOps is a Kubernetes resource automation platform that continuously adjusts workloads to real-time demand. It rightsizes CPU and memory requests and limits per pod, aiming to reduce waste and improve reliability. Key capabilities of ScaleOps Pod rightsizing: Adjusts CPU and memory requests and limits per pod based on live demand Policy automation: Applies an appropriate scaling policy to each workload Replica optimization: Manages min and max replicas and scaling triggers Node optimization: Consolidates underutilized nodes using Karpenter Smart Pod Placement: Resolves scheduling restrictions Cost visibility: Breaks down compute, network and GPU cost by cluster, namespace, label or team How ScaleOps works ScaleOps is deployed in your cluster through Helm and runs alongside native autoscaling such as HPA, Cluster Autoscaler and Karpenter. It watches real-time usage, resizes pod requests, and as requests shrink, Karpenter can remove freed nodes. Who uses ScaleOps? Platform, DevOps and FinOps teams running Kubernetes at scale who want automatic resource tuning instead of manual request tuning. ScaleOps pricing ScaleOps does not publish a price table on the pages reviewed. Plans are arranged with the vendor. ScaleOps alternatives Alternatives include Sedai for autonomous cloud optimization, Datadog for observability with Kubernetes features, and CAST AI for automated cluster cost management.

What is MLflow? MLflow is an open-source AI engineering platform for agents, LLM applications and traditional machine learning models. It covers experiment tracking, tracing, evaluation, prompt management and model deployment, and is released under the Apache 2.0 license. Key capabilities of MLflow Observability: Capture complete traces of LLM apps and agents using OpenTelemetry, across any provider or agent framework. Evaluation: Run assessments with 50+ built-in metrics and LLM judges. Prompt management: Version, test and deploy prompts with lineage tracking. AI Gateway: OpenAI-compatible gateway with route management, rate limiting and cost control. Experiment tracking: Log parameters, metrics and artifacts for classic ML runs. How MLflow works Teams add MLflow to their Python, TypeScript/JavaScript, Java or R code, and it records traces, metrics and artifacts to a tracking server they run themselves. Evaluation jobs score outputs with built-in metrics or LLM judges, while the Agent Server deploys agents through FastAPI with automatic validation and built-in tracing. Who uses MLflow? Data scientists, ML engineers and AI platform teams use MLflow to keep experiments reproducible and to debug LLM agents in production. The project reports 900+ contributors and 30+ million monthly downloads. MLflow pricing MLflow itself is free and open source. The vendor site does not list managed hosting prices, so hosted MLflow costs depend on the platform you run it on and your own infrastructure. MLflow alternatives Weights and Biases focuses on hosted experiment tracking, Langfuse is centered on LLM observability, and Hugging Face covers model hosting and sharing. MLflow differs by combining ML tracking, LLM tracing and a gateway in one Apache 2.0 project.

What is Transkriptor? Transkriptor is an AI transcription service that converts audio, video and meetings into text in more than 100 languages. It identifies multiple speakers and adds AI summaries and chat on higher plans. Key capabilities of Transkriptor Transcription: 100+ languages with multiple speaker identification AI summary and chat: on Pro and Team plans Knowledge base: searchable transcripts on Pro Call analysis: sentiment detection on Team Custom vocabulary: and analytics on Team Multi-format downloads: export transcripts in several formats How Transkriptor works You upload a file or connect Google Drive, Zoom or Teams, and Transkriptor returns a transcript with speaker labels that you can edit and download. Pro and above add AI summaries and chat over the transcript. Usage is metered in transcription minutes per month. Who uses Transkriptor? Students, journalists, researchers and teams that need transcripts of interviews, lectures and meetings. The vendor says data is not used for training from the Pro tier up. Transkriptor pricing Free includes 90 minutes per month. Lite is $9.99 per month for 300 minutes, Pro is $19.99 for 2,400 minutes, and Team is $30 per seat for 3,000 minutes per seat. Annual Pro is $8.33 per month and annual Team $20 per seat. Transkriptor alternatives TurboScribe and Scribie are transcription services, Amberscript offers machine and human transcription, and AI-Media specializes in captioning for broadcast and events.

What is Enhancv? Enhancv is an online resume and cover letter builder that adds AI features for writing, tailoring, parsing and interview practice. Key capabilities of Enhancv AI resume parsing: Parses sections from an uploaded resume or LinkedIn profile. Job tailoring: Rewrites resume content to match a job description. Improve text: Real-time writing suggestions while composing. AI Skills Finder: Surfaces competencies employers look for. Resume translation: Translates a resume in one click across 30+ languages. AI mock interviews: Practice interviews with AI. How Enhancv works You start from a template, upload an existing resume or LinkedIn profile for automatic section parsing, and edit with live suggestions. The AI can rewrite content for a target job description and an ATS check scans compatibility. Pro adds up to 300 resumes and cover letters, unlimited section items and removes Enhancv branding. Who uses Enhancv? Job seekers at any level. The vendor reports 15M+ resumes created, 10M+ resume examples and 28,452 users who landed interviews in the last month. Enhancv pricing The free plan lasts 7 days and includes all templates, up to 12 section items and Enhancv branding, but downloads need Pro afterwards. The Pro plan is billed quarterly, and the exact price did not render on the pricing page, so check the live page. Enhancv alternatives HeyMilo and Apriora are AI interview tools for employers, and Hireflow and Ribbon are hiring automation products. Enhancv is a candidate-side resume builder.

What is Floqer? Floqer is an AI platform for CRM data enrichment and go-to-market workflows. It runs waterfall enrichment across 100+ sources and AI web research agents, then acts on buying signals such as funding, hiring and search intent. Key capabilities of Floqer Waterfall enrichment: Queries 100+ data sources to complete accounts. Web research agents: Find answers missing from databases. Contact verification: Built-in email and phone checks. Signal tracking: 80+ signals including funding, hiring and G2 reviews. Scored triggers: Signals ranked by ICP fit. Self-healing records: Catches job changes and dead contacts. Workflow apps: One-click actions for reps. How Floqer works Workflows enrich records, stack and score signals, and route results to the CRM, Slack or ad destinations. Users can build and run workflows from Claude, ChatGPT or Claude Code, or call a headless API. Usage is metered in credits. Who uses Floqer? Revenue teams. The vendor cites 1,500+ teams including Perplexity, Wise, AngelList, Pulumi, DXC and HockeyStack, and states SOC 2 Type 2 and GDPR compliance. Floqer pricing Free includes 100 credits with no card. Self-serve plans run from $49 to $999 per month depending on credits, with 10% off annually and unlimited seats. Enterprise is custom and annual. Floqer alternatives Clay is a spreadsheet-style enrichment workflow tool, Captain Data automates data extraction workflows, and Ocean.io focuses on lookalike account lists. Floqer pairs waterfall enrichment with signal-based actions.

What is Abacus.AI? Abacus.AI describes itself as a super assistant for professionals and enterprises. It combines ChatLLM, an all-in-one assistant with access to 100+ AI models, a general-purpose Abacus AI Agent and an enterprise platform with specialized AI modules. Key capabilities of Abacus.AI ChatLLM: All-in-one assistant across major language models. AI Agent: General-purpose agent for multi-step tasks. Coding agent and CLI: Unlimited on the Pro tier. Image and video generation: Included in the Basic tier. Forecasting: Enterprise module. Fraud and anomaly detection: Enterprise modules. Recommendations and personalization: Enterprise modules. Vision AI: Enterprise module. How Abacus.AI works Individuals pick a model inside ChatLLM or hand a task to the agent. Enterprise teams build and deploy ML modules such as forecasting and anomaly detection on the Abacus.AI platform. Usage is metered in monthly credits. Who uses Abacus.AI? Professionals who want many models under one subscription and enterprises that need forecasting, fraud detection or recommendation systems. Abacus.AI pricing Basic is $10 per month ($7 for the first month) with 20,000 credits and 3 AI Agent conversations. Pro is $20 per month with unrestricted agent use, unlimited coding agent and CLI and 30,000 credits. Enterprise is quoted separately. Abacus.AI alternatives Notion AI is an assistant inside Notion, while ChatGPT and Claude are single-vendor assistants. Abacus.AI differs by offering many models and enterprise ML in one account.

What is Luru? Luru is a CRM assistant AI agent offering an AI assistant that keeps Salesforce and HubSpot updated from Slack, notes and meetings. Founded in 2021 and based in Bengaluru, India, Luru helps account executives and RevOps automate CRM assistant work and get results faster. Key capabilities of Luru CRM updates from Slack Meeting note capture Pipeline views Deal alerts CRM integration Analytics and reporting How Luru works Luru takes text, audio and CRM data as input and produces text and CRM 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 Gmail, so the agent works inside existing workflows. Who uses Luru? Luru is built for account executives and RevOps. It suits teams that want CRM updates from Slack and meeting note capture without adding headcount, while keeping people in control of review and final decisions. Luru vs Scratchpad Luru is often compared with Scratchpad. Luru stands out for CRM updates from Slack and pipeline views. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

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.