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54 Listings in Sales AI Agents Available
What is Aircover? Aircover is an AI-native platform for sales teams that provides virtual sales engineers, real-time coaching and automatic CRM updates during calls. It standardizes messaging and works without requiring call recordings. Key capabilities of Aircover Live coaching: real-time guidance on calls Virtual sales engineer: answers technical questions Objection handling: in-call assistance Account research: dynamic playbooks before calls Competitive intelligence: battlecard-style insight AI Notes: automatic post-call documentation How Aircover works Before a call, Aircover researches the account and prepares playbooks. During the call it coaches the rep live and answers technical questions as a virtual sales engineer. Afterward it drafts follow-up emails, writes summaries and syncs custom CRM fields. An MCP Server exposes data to AI assistants. Who uses Aircover? Revenue teams use it to standardize messaging and shorten ramp. The vendor cites a 50% reduction in ramp time, 10 hours saved per rep weekly and a 40% increase in deals advancing to stage 1. Aircover pricing Aircover does not publish pricing on the page we read. Request a demo for a quote. Aircover alternatives Alternatives include Hyperbound for AI sales roleplay, Octave for outbound messaging, SalesRobot for LinkedIn outreach, Valley for LinkedIn selling, and Luru for sales intelligence.
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What is Nooks? Nooks is an AI sales platform for outbound and sales development teams that combines a parallel dialer, multichannel sequencing, account signals and call coaching. It says more than 1,700 teams use it. Key capabilities of Nooks AI parallel dialer: Dials multiple prospects at once and connects reps to live answers. AI sequencing: Orchestrates email, calling and social outreach. Signals and intelligence: Surfaces account insights and buying signals. AI coaching: Real-time feedback and training for reps. Waterfall data enrichment: Fills in contact data from several sources. How Nooks works Reps load a prospect list from their CRM or from Nooks, and the dialer calls several numbers simultaneously, screening out voicemails and connecting reps to humans. Sequencing and signals decide who to contact next, and call recordings feed coaching and analytics. Activity syncs back to the CRM. Who uses Nooks? SDR, BDR and account executive teams at B2B companies use Nooks to raise connect rates and meetings booked. Vendor-cited customers include Deel, HubSpot, Replit, Spring Health and Greenhouse. Nooks pricing Nooks does not list rates on its public pages and sells through plans such as Pro and Enterprise. Third-party sources report roughly $4,000 to $5,000 per user per year with a five-seat minimum, which should be confirmed with the vendor. Nooks alternatives Outreach and Salesloft are broader sales engagement platforms, Apollo.io combines a contact database with sequencing, and Gong focuses on conversation intelligence. Nooks is centered on the parallel dialer.
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Saaskart Market Grid™
Explore how leading Sales AI Agents solutions compare based on customer satisfaction, market presence, adoption, and buyer feedback. The Market Grid helps you identify category leaders, high-performing solutions, and emerging products within the Sales AI Agents ecosystem.
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HubSpot Breeze
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Salesforce Agentforce
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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.
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What is 6sense? 6sense is an AI-powered account-based marketing platform that combines proprietary intent data with revenue intelligence. It turns buying signals into actions for sales and marketing teams, and it was named a Leader in the Forrester Wave for Revenue Marketing Platforms for B2B, Q1 2026. Key capabilities of 6sense Signalverse data: Proprietary platform capturing one trillion signals daily, including intent data and contact data. AI Email Agents: Generate and manage email conversations autonomously. Sales Copilot: AI-driven prospecting for sellers. Account prioritization: Predictive models that rank accounts. Intelligent workflows: Omnichannel campaign orchestration. How 6sense works 6sense collects intent and company signals in Signalverse, scores accounts with predictive models and surfaces them to sales through Sales Copilot, alerts and list builders. Marketing teams use the same signals to build audiences, run advertising and orchestrate campaigns, while AI Email Agents draft and manage outreach conversations. Who uses 6sense? B2B marketing and sales teams use 6sense for account-based programs. The vendor lists Okta, Shell, Sumo Logic and SAP among its clients. 6sense pricing The vendor does not publish prices, so 6sense is quote-based and sold through its sales team. 6sense alternatives Demandbase is a competing ABM platform, ZoomInfo sells contact and intent data, and Bombora supplies intent data. 6sense is distinguished by combining intent data, predictive scoring and AI agents in one platform.
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What is Valley? Valley is an AI outbound platform that identifies prospects, researches them and sends personalized messages by email and LinkedIn. It claims 15 to 45 percent reply rates. Key capabilities of Valley Signal-based prospecting: Finds prospects through hiring, content engagement and competitor complaints. AI research: Researches each prospect for personalization. Personalized messaging: Writes LinkedIn and email messages. Unified inbox: Manages replies across channels. Approval before sending: Messages can be reviewed before they go out. API integrations: Connects with Claude, ChatGPT, HubSpot and other tools. How Valley works Valley watches buying signals to build a prospect list, researches each person and drafts messages. You can review and approve before sending. Replies from LinkedIn and email arrive in one inbox, and integrations push data to tools such as HubSpot. Who uses Valley? Valley is for founders, sales teams and agencies that want outbound without juggling separate tools. A user reported over $1M in pipeline within 60 days, a vendor-shared testimonial. Valley pricing Starter is $199 per month ($149 per month billed quarterly). Plus is $299 per month ($249 quarterly) and includes 1,000 monthly emails. A Growth tier adds more credits. A 7-day free trial is available. Valley alternatives Alternatives include Clarify, an AI-native CRM with prospecting, Landbase, which builds outbound with agentic prospecting, and Floworks, which offers an AI sales agent.
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What is UserGems? UserGems is a buying signals AI agent offering AI that tracks champion job changes and buying signals and turns them into personalized outreach. Founded in 2019 and based in San Francisco, California, USA, UserGems helps B2B sales and marketing teams automate buying signals work and get results faster. Key capabilities of UserGems Champion job-change tracking New hire signals AI-written outreach CRM automation CRM sync Signal-based workflows How UserGems works UserGems takes CRM data and signals as input and produces leads 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 Clay, so the agent works inside existing workflows. Who uses UserGems? UserGems is built for B2B sales and marketing teams. It suits teams that want champion job-change tracking and new hire signals without adding headcount, while keeping people in control of review and final decisions. UserGems vs Warmly UserGems is often compared with Warmly. UserGems stands out for champion job-change tracking and AI-written outreach. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Octave? Octave is an agentic go-to-market platform for B2B sales, marketing and customer success. It combines a context graph with an intelligence engine to share GTM knowledge across tools. Key capabilities of Octave Context graph: Models positioning, segments, personas and buyer problems. Intelligence engine: Analyzes buyer conversations, market trends and competitor signals. MCP, API and CLI: Delivers context into Claude, agents and other systems. Managed agents: Production-ready agents deployable in minutes. Scoring and qualification: One of eight primary use cases. Outbound and research: Campaigns, account research and deal execution. How Octave works Teams load positioning and buyer data into the context graph. The intelligence engine learns from conversations and signals, and the resulting context is exposed through MCP, API and CLI so agents and tools such as Claude Code act on shared knowledge. Who uses Octave? Octave is used by B2B GTM teams. Customers listed on the site include Rula, Sauce Labs, Airbyte, Kong and Sendoso, and it cites a 4.9 out of 5 G2 rating. Octave pricing The vendor home page does not publish prices. A free trial and live demo are offered, with pricing available from the vendor. Octave alternatives Alternatives include Clay-style data tools such as Topo, which supports account-based sales, Regie.ai, which generates outreach, and People.ai, which captures revenue activity.
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What is Kenect? Kenect is an AI-powered platform that consolidates customer conversations for dealerships across text, web chat and other channels. It serves automotive, RV, powersports, marine and other local businesses. Key capabilities of Kenect Messaging: Text messaging, WebChat and broadcast messaging Engage AI: 24/7 conversational AI for customers Voice AI: AI receptionist for calls AI scheduling: Automated service scheduling and reminders Reputation management: Reviews, private feedback and responses Text-to-pay: Payments and pay-over-time options Recall campaigns: Manages recall outreach How Kenect works Customers text or chat with the dealership, and Kenect's AI replies at any hour, schedules service and responds to leads. Calls can be answered by an AI receptionist. Messages sync with the dealership's DMS. Who uses Kenect? Dealerships and local businesses. Brands such as Honda and Harley-Davidson dealers are cited, with claims of a 23 percent monthly service revenue increase and 90 minutes saved per employee per day. Kenect pricing Kenect does not disclose pricing on this page. Kenect alternatives Alternatives include Podium for messaging and reviews, Impel for automotive AI, and Birdeye for reputation and messaging.
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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.
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What is Artisan? Artisan is a platform that deploys AI employees for sales teams, starting with Ava, an autonomous AI BDR that runs outbound end to end. Ava finds and enriches B2B leads, writes and sends outreach, handles replies and books meetings. Key capabilities of Artisan Lead discovery: finds B2B leads Data enrichment: adds contact and company data Personalized messages: written per prospect Outreach sending: email distribution Reply handling: manages responses Meeting booking: schedules meetings How Artisan works Ava sources and enriches leads from a built-in database, drafts personalized messages, sends them, reads replies and books meetings. The vendor says it replaces separate lead databases, enrichment services, deliverability tools, sequencing and intent data. Third-party sources describe human approval options for messages. Who uses Artisan? Startups, SMBs and enterprises running outbound sales use it, with tailored solutions per segment. Third-party sources describe self-serve credit tiers for smaller teams and custom Enterprise. Artisan pricing The vendor site points to plans without listing them in the content we read. Third-party sources report Free with 300 credits, Intern at $280 a month (12,000 credits), Employee at $660 (30,000), and custom Enterprise, with 10% off annual billing. Artisan alternatives Alternatives include Octave for outbound messaging, SalesRobot for LinkedIn outreach, Landbase for AI go-to-market agents, Clarify for AI CRM, and Valley for LinkedIn selling.
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What is Leadsales? Leadsales is a CRM that centralizes WhatsApp, Facebook and Instagram conversations so sales teams can manage customers and close deals. Its AI Lead Agent attends, qualifies and follows up with prospects around the clock. Key capabilities of Leadsales Chat organization: Arranges conversations in customizable columns by sales stage Message scheduling: Automated follow-ups at chosen times Mass campaigns: Bulk messages with approved Meta templates via the WhatsApp API Template management: Creates official templates in the platform Campaign segmentation: Targets specific customer groups Auto-assignment: Routes conversations to team members Lead Agent: AI agent that qualifies and follows up with prospects 24/7 Analytics: Reports on sales performance How Leadsales works Messages from WhatsApp Business API, Facebook and Instagram land in one inbox organized as funnels. Conversations are assigned to team members automatically, follow-ups are scheduled and campaigns go out through Meta-approved templates. The Lead Agent handles first responses and qualification before humans step in. Who uses Leadsales? Sales teams that sell over chat. Leadsales reports 2,800+ companies using the platform. Leadsales pricing Basic is $97 per month, Professional is $133 per month with 4 users and 250 to 10,250 credits, and Advanced is $247 per month with unlimited users and 500 to 10,500 credits. All but Advanced include up to 10 funnels. The first month of the Lead Agent AI feature is free. Leadsales alternatives Alternatives include Kommo for chat-based CRM, Respond.io for omnichannel messaging, and Wati for WhatsApp business messaging.
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What is Pipedrive AI? Pipedrive AI is the set of AI features inside the Pipedrive sales CRM that assist with deal management and sales workflows. Key capabilities of Pipedrive AI Pipeline management: Unlimited pipelines and customizable deals. AI features on every plan: AI included from the entry tier upward, per third-party reviews. Integrations: 500+ integrations. Mobile app: Manage deals on mobile. How Pipedrive AI works AI features operate inside the Pipedrive CRM alongside pipelines and deals, so reps use them within the normal sales workflow rather than in a separate tool. The vendor pricing page returned an error, so details here come from third-party price guides. Who uses Pipedrive AI? Small and mid-sized sales teams that want a pipeline-based CRM with AI assistance built in. Pipedrive AI pricing Third-party guides report per seat per month on annual billing: Lite $14, Growth $39, Premium $59 and Ultimate $79, or $24, $49, $79 and $99 billed monthly, with a 14-day free trial. These are not vendor-confirmed here. Pipedrive AI alternatives HubSpot Breeze is the AI layer in HubSpot, Seamless.AI provides prospect data, and Momentum and Aircover add AI call notes and coaching. Pipedrive AI is part of the CRM itself.
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Sales AI agents automate and assist selling, from prospecting and outreach to deal intelligence and forecasting, so reps spend more time with buyers and less on busywork. This guide explains what sales AI is, how it works, what matters, and how to choose a platform.
Sales AI agents automate and assist selling, from prospecting and outreach to deal intelligence and forecasting, so reps spend more time with buyers and less on busywork. This guide explains what sales AI is, how it works, what matters, and how to choose a platform.
Sales AI applies machine learning and generative models across the sales cycle: finding and prioritizing prospects, drafting and personalizing outreach, capturing and analyzing conversations, scoring leads and deals, and forecasting revenue.
It appears both as standalone tools (AI SDR/prospecting agents, conversation intelligence, forecasting) and as AI features inside CRMs and sales-engagement platforms.
The category is shifting from point assistants toward agentic selling, systems that research accounts, draft and send sequenced outreach, log activity, and surface next-best-actions with human oversight. Buyers weigh pipeline impact, data quality, deliverability, and CRM fit.
Sales AI ingests CRM, conversation, and intent data, then prospects and prioritizes accounts, generates personalized outreach, captures and analyzes calls and emails, scores leads and deals, and recommends next steps, surfacing actions or executing within set rules.
Platforms combine data enrichment, generative outreach, conversation intelligence, and predictive scoring/forecasting, integrated with the CRM, email, and dialer so activity is captured and acted on automatically.
Sales teams connect data and define ICP, sequences, and guardrails; reps review AI recommendations and drafts, while managers use deal and forecast intelligence to coach and plan.
Find and enrich target accounts and contacts and prioritize them by fit and intent signals.
Generate tailored emails and sequences at scale using account research and CRM context.
Record, transcribe, and analyze calls for talk ratios, topics, risks, and coaching insights.
Predict which leads and deals are most likely to convert so reps focus where it pays off.
Surface deal risk and forecast revenue from real activity and engagement signals.
Auto-log activity, update records, and recommend next-best-actions to keep the CRM accurate.
Automating research, outreach drafting, and CRM data entry frees reps to focus on buyers.
Scoring and intent signals focus effort on the accounts and deals most likely to close.
Generate relevant, tailored outreach without hours of manual research per prospect.
Conversation intelligence reveals what top reps do so managers can coach the rest.
Activity-based signals improve pipeline visibility and forecast reliability.
| Type | Best for | Ideal size | Pros | Limitations |
|---|---|---|---|---|
| AI SDR / prospecting agents | Automated research and outreach | SMB to enterprise | Scales pipeline generation | Deliverability and quality oversight needed |
| Conversation intelligence | Call recording, analysis, coaching | Any | Coaching and deal insight | Consent-sensitive |
| Predictive scoring & forecasting | Lead/deal scoring, revenue forecast | Mid-market to enterprise | Focus and visibility | Needs clean historical data |
| Sales-engagement AI | Sequenced outreach and automation | Any | Efficiency across the funnel | Risk of generic spam without controls |
Technology: Technology sales teams use AI to prioritize accounts, personalize outreach at scale, capture and coach on conversations, and forecast revenue more accurately, while keeping reps in control of relationships.
Healthcare: Healthcare sales teams use AI to prioritize accounts, personalize outreach at scale, capture and coach on conversations, and forecast revenue more accurately, while keeping reps in control of relationships.
Financial Services: Financial Services sales teams use AI to prioritize accounts, personalize outreach at scale, capture and coach on conversations, and forecast revenue more accurately, while keeping reps in control of relationships.
Retail & E-commerce: Retail & E-commerce sales teams use AI to prioritize accounts, personalize outreach at scale, capture and coach on conversations, and forecast revenue more accurately, while keeping reps in control of relationships.
Education: Education sales teams use AI to prioritize accounts, personalize outreach at scale, capture and coach on conversations, and forecast revenue more accurately, while keeping reps in control of relationships.
Professional Services: Professional Services sales teams use AI to prioritize accounts, personalize outreach at scale, capture and coach on conversations, and forecast revenue more accurately, while keeping reps in control of relationships.
Manufacturing: Manufacturing sales teams use AI to prioritize accounts, personalize outreach at scale, capture and coach on conversations, and forecast revenue more accurately, while keeping reps in control of relationships.
Media: Media sales teams use AI to prioritize accounts, personalize outreach at scale, capture and coach on conversations, and forecast revenue more accurately, while keeping reps in control of relationships.
Look for evidence of real pipeline or conversion lift, not just activity metrics or feature lists.
Confirm deep integration with your CRM, email, and dialer so activity is captured and acted on.
Assess the accuracy and coverage of contact, account, and intent data.
For outreach agents, verify deliverability safeguards and controls to avoid spammy, off-brand messaging.
Confirm compliance for outreach (CAN-SPAM/GDPR) and consent for call recording.
Understand seat vs. usage pricing and model expected ROI against your motion.
Sales AI is moving toward agentic SDRs that research, sequence, and engage prospects end to end with human oversight.
Conversation and intent signals are making prioritization and forecasting sharper and more real-time.
Personalization is deepening as agents ground outreach in richer account and buyer context.
Buyers should prioritize measurable pipeline impact, CRM fit, data quality, deliverability and compliance controls, and transparent governance.
Sales AI agents use machine learning and generative models to automate and assist selling, prospecting and prioritizing accounts, drafting and personalizing outreach, capturing and analyzing calls and emails, scoring leads and deals, and forecasting revenue. They exist both as standalone tools (AI SDRs, conversation intelligence, forecasting) and as AI features inside CRMs and sales-engagement platforms, designed to give reps more selling time and managers better visibility.
No, it changes their focus. AI automates research, outreach drafting, CRM data entry, and analysis, while reps concentrate on relationships, discovery, negotiation, and closing. Fully automating buyer relationships tends to backfire; the best results come from reps directing AI and reviewing its output, especially for outreach.
They can, by prioritizing the right accounts, personalizing outreach at scale, and freeing reps from busywork. But results depend on data quality, deliverability discipline, and your sales motion. Insist on evidence of incremental pipeline or conversion lift measured against a baseline, not just more emails sent or calls logged.
Good tools ground messages in real account research and CRM context, enforce deliverability best practices (warm-up, sending limits, domain health), and give you brand and review controls. Without those safeguards, mass AI outreach can hurt deliverability and brand, so evaluate quality controls and compliance carefully.
Recording laws vary by region and may require participant consent. Reputable conversation-intelligence tools provide consent and notification features, but you're responsible for complying with applicable laws and policy. Review consent handling, data residency, and retention before adopting.
Reputable vendors offer encryption, access controls, retention settings, and compliance certifications, and enterprise plans typically guarantee your data isn't used to train shared models. Given the sensitivity of CRM and conversation data, confirm data handling before connecting your systems.
Common models are per-seat (rep) subscriptions, usage-based (contacts, emails, or minutes), or add-ons within a CRM or sales-engagement platform. Estimate your team size and activity volume, and model expected ROI against your average deal size to compare true cost.
Prioritize evidence of pipeline impact, deep CRM and stack integration, data quality and enrichment, deliverability and quality controls for outreach, privacy and consent compliance, and pricing tied to ROI. Pilot with clear success metrics against a baseline before scaling across the team.
