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54 Listings in Sales AI Agents Available
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.
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What is Salesmotion? Salesmotion is an AI agent platform that automates account research and outreach for B2B sales teams. It monitors public data sources around the clock to detect buying signals and writes messaging tied to them. Key capabilities of Salesmotion Signal Agent: Monitors 1,000+ public sources including news, earnings calls, SEC filings, job postings and LinkedIn Buying signal detection: Flags leadership changes, funding rounds and strategic initiatives Research Agent: Consolidates signals into account briefs with executive summaries Outreach Agent: Drafts email and LinkedIn messages anchored to specific signals CRM sync: Pushes signals and intelligence into sales tools Review before send: Messages are ready for reps to review and send How Salesmotion works The Signal Agent scans public sources for events relevant to your target accounts. The Research Agent combines those signals into an account brief, replacing manual research, and the Outreach Agent drafts personalized email and LinkedIn messages that cite the signal. Reps review and send, and data flows into Salesforce, HubSpot, Outreach, Salesloft or Lemlist. Who uses Salesmotion? Salesmotion is aimed at enterprise and mid-market sales teams in SaaS, life sciences, IT services and financial services. Named customers include Incredible Health, Cytel, Guild Education and Frontify. The vendor cites 50% more meetings booked and 6 hours saved per rep weekly. Salesmotion pricing Salesmotion does not publish prices on its homepage. Salesmotion alternatives Alternatives include SalesRobot and SmartReach, which automate outbound sequences, and Reachify. Salesmotion is centered on signal monitoring and account research rather than sequence sending.
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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.
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What is People.ai? People.ai is a revenue intelligence platform that automatically captures sales activity such as emails, meetings, calls and chats and turns it into answers about deal health, risk and pipeline. The vendor domain now says People.ai is Backstory, with the same product and data infrastructure. Key capabilities of People.ai Activity capture: Logs emails, meetings, calls and chat. Revenue decisions: Engagement scoring and deal summaries. Pipeline health: Risk identification and waterfall analysis. Account strategy: Stakeholder mapping and relationship tracking. Opportunity qualification: MEDDPICC-based scoring backed by customer interactions. How People.ai works The platform captures activity from email, calendar, calls and chat and maps it to deal history in the CRM. It then scores engagement, flags deals at risk and shows which pipeline is real. An MCP Server lets AI assistants query the same data. Who uses People.ai? Sales teams and revenue leaders use it. The vendor cites 100,000+ sellers and customers such as Red Hat, AMD, OpenAI and Zscaler. People.ai pricing The vendor says most tools charge for every seat, used or not, but does not publish its prices on the page reviewed, so cost is quote-based. People.ai alternatives Clari focuses on revenue forecasting, Outreach is a sales execution platform with AI agents, and Salesloft Conversations adds call recording. Backstory differs by capturing activity automatically to answer deal questions.
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What is Darwin AI? Darwin AI is an AI employee platform that handles customer conversations and business automation over WhatsApp, Instagram and phone calls. Its tagline in Spanish is to delegate customer conversations to AI employees. Key capabilities of Darwin AI Alba (Inbound/SDR): Converts inbound leads Bruno (Outbound): Reactivates dormant leads Eva (CX/CSAT/NPS): Measures customer satisfaction Sofia (Post-Sale): Drives upselling after purchase Lucas (Collections): Recovers payments CRM sync: Enters data in the CRM automatically Human escalation: Triggers handoff to a person How Darwin AI works Each AI employee is assigned a job and talks to customers on WhatsApp, Instagram or by phone. It writes conversation data into connected CRMs, escalates to humans on defined triggers, and learns from interactions. Darwin says responses are audited through manual reviews, automated tests and sentiment analysis. It runs on WhatsApp Business API through a Meta partnership. Who uses Darwin AI? Companies in automotive, education, real estate, retail, healthcare, insurance and services. Logos shown include Subaru, Ocampo and WonderLab. Darwin reports USD 4.5M in funding from Base10 Partners. Darwin AI pricing Darwin AI does not publish prices or a free tier on its site, so cost must be obtained from the vendor directly. Darwin AI alternatives Alternatives include Kommo for WhatsApp CRM with automation, Landbot for conversational bots, and Treble.ai for WhatsApp conversations at scale.
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What is Tribble? Tribble is a RFP response AI agent offering an AI agent for proposals that drafts RFP, RFI and security questionnaire answers from company knowledge. Tribble helps presales and proposal teams automate RFP response work and get results faster. Key capabilities of Tribble RFP drafting Questionnaire answers Slack Q&A Win-loss insights Auto-drafted answers Knowledge base sync How Tribble works Tribble takes documents and text as input and produces documents and text. 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, Slack and Google Drive, so the agent works inside existing workflows. Who uses Tribble? Tribble is built for presales and proposal teams. It suits teams that want RFP drafting and questionnaire answers without adding headcount, while keeping people in control of review and final decisions. Tribble vs Loopio Tribble is often compared with Loopio. Tribble stands out for RFP drafting and Slack Q&A. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is SecurityPal AI? SecurityPal AI is a cybersecurity assurance platform that pairs AI agents with certified human experts to automate security questionnaires, vendor assessments and compliance tasks. The company calls its approach Hyper-Supervised Intelligence. Key capabilities of SecurityPal AI Questionnaire automation: Across portals, spreadsheets and RFPs. Vendor risk assessments: Audit-ready reports within 12 hours. Trust Center: Branded security portal, reported to cut inbound requests by about 60%. Knowledge Library: Central security documentation. Concierge Agents: AI with certified analyst oversight. Tasks and Flows: Approval workflows. How SecurityPal AI works AI agents draft answers from the knowledge library and analysts review them. The vendor claims 99% accuracy on enterprise questionnaires, versus 62% for ChatGPT, 60% for Claude and 55% for Gemini, and says 150+ certified analysts work 24/7. Who uses SecurityPal AI? Security and sales teams answering customer questionnaires, and procurement teams assessing vendors. SecurityPal AI pricing SecurityPal does not publish prices. It offers three tiers: Basecamp (self-service AI), Summit (AI agents plus certified experts) and Everest (fully managed with senior analysts). SecurityPal AI alternatives Tribble, 1up and Steerlab also automate questionnaire responses. SecurityPal differs by adding certified human analysts.
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What is SalesRobot? SalesRobot is a LinkedIn outreach AI agent offering an AI tool that automates LinkedIn and cold email outreach with personalized messages. Founded in 2020 and based in New Delhi, India, SalesRobot helps agencies and B2B founders automate LinkedIn outreach work and get results faster. Key capabilities of SalesRobot LinkedIn automation AI message personalization Email sequences Reply detection CRM integration Analytics and reporting How SalesRobot works SalesRobot takes text and profile 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 SalesRobot? SalesRobot is built for agencies and B2B founders. It suits teams that want LinkedIn automation and AI message personalization without adding headcount, while keeping people in control of review and final decisions. SalesRobot vs Expandi SalesRobot is often compared with Expandi. SalesRobot stands out for LinkedIn automation and email sequences. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is DealerAI? DealerAI is a multi-agent AI platform for car dealerships and auto groups. It automates sales, service and customer engagement workflows through chat, outbound messaging and voice agents. Key capabilities of DealerAI Chatbot agent: website and SMS assistant that captures leads, answers inventory questions and books appointments Reach agent: follow-up sequences over SMS, email and voice to re-engage cold leads Voice AI agent: 24/7 inbound phone handling for service bookings and sales qualification AI Workflow Engine: node-based automation for dealership operations CRM and DMS connectivity: OEM-agnostic native connections Chrome extension: captures leads from the browser How DealerAI works The chatbot talks to site visitors and SMS contacts, the Reach agent runs follow-up sequences, and the voice agent answers calls with response latency under 500 milliseconds. The workflow engine chains these steps, syncing with inventory, calendars and the dealership CRM or DMS. Who uses DealerAI? DealerAI says it operates across 500+ dealership locations. Reported results include an 85% SMS reply rate at Campbell River Toyota and 100+ appointments booked in 90 days at GAA Auto Sales. DealerAI pricing DealerAI does not list prices. Dealerships request a demo or contact the vendor for a quote. DealerAI alternatives Alternatives include Kenect for dealership texting, Outreach for sales engagement and Salesloft for revenue workflows.
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What is SmartReach? SmartReach.io is cold email software with multichannel outreach through email, LinkedIn, calls and WhatsApp. Teams use it to run sales campaigns across several channels at once without per-seat pricing above the Basic tier. Key capabilities of SmartReach Cold email outreach: campaigns with unlimited sending accounts above Basic Multichannel sequences: email, LinkedIn, calls and WhatsApp Email verification: free on all plans AI automations: automated steps in outreach flows CRM sync: Salesforce, HubSpot, Pipedrive and Zoho Client dashboards: add-on for agencies LinkedIn automation: add-on How SmartReach works Teams import prospects, build sequences across channels and let SmartReach send and track them. Pricing scales by active prospects rather than seats, with unlimited users and sending accounts above Basic. CRM integrations sync activity, and add-ons cover extra prospects, client dashboards, LinkedIn automation and CRM integrations. Who uses SmartReach? SmartReach is aimed at sales teams, founders and agencies running outbound at volume. The Sales Engagement plans add calling and LinkedIn seats for teams working beyond email. SmartReach pricing Email plans are Basic $29, Plus $89, Pro $199 and Scale $499 per month. Sales Engagement plans are $39, $99, $249 and $599. Annual billing is up to 11% cheaper, and a 14-day trial needs no credit card. SmartReach alternatives Alternatives include Instantly and Lemlist for cold email, Outreach and Salesloft for enterprise sales engagement, and Gong for revenue intelligence.
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What is DeepRFP? DeepRFP is an AI platform that streamlines RFP responses by combining RFP analysis, proposal drafting and quality review in opportunity-specific workspaces. Key capabilities of DeepRFP RFP analysis: Identifies requirements, risks, gaps and response priorities. Proposal drafting: Generates first drafts from the RFP and company content. Compliance matrices: Builds matrices and handles structured forms. Content reuse: Draws on past proposals and company materials. 28 languages: Drafts proposals in 28 languages. Word and Excel export: Outputs editable documents. How DeepRFP works You create a workspace for each opportunity and upload the RFP, forms, past proposals and company content. DeepRFP extracts requirements, drafts responses using only the supplied inputs and lets you review and edit before submission. The vendor says it does not hallucinate content beyond what you provide. Who uses DeepRFP? Small business owners, proposal consultants and lean proposal teams, including those answering government proposals, RFQs and questionnaires. The vendor cites a 5.0 out of 5 rating on Capterra. DeepRFP pricing The vendor lists $89 per user per month billed monthly with no lock-in, and a 7-day free trial with full access and no credit card required. DeepRFP alternatives Tribble and 1up focus on answering questionnaires from a knowledge base, and SecurityPal handles security questionnaires. DeepRFP is built around full RFP analysis and drafting for small teams.
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What is Lavender? Lavender is an AI email coach for sales reps that scores emails as they are written and suggests edits to raise reply rates. It works inside Gmail, Outlook and Outreach and can also draft emails with its Ora assistant. Key capabilities of Lavender Real-time email coaching: Scores each email and flags changes as you type. Ora drafting: AI email drafting inside the inbox. Historic email analysis: Analyzes past emails to find what drives replies. CRM enrichment: Adds prospect context to emails. Team insights and leaderboards: Shows managers how reps' emails perform. How Lavender works A browser extension sits beside the compose window and analyzes the draft for length, tone, readability and personalization, then recommends edits and a score. Ora can generate a draft from prospect data. Managers see aggregate performance and training progress. Who uses Lavender? SDRs, account executives and sales managers who send many outbound emails use Lavender. Teams use the leaderboards and certification content to standardize email quality. Lavender pricing Lavender has a free tier. Third-party sources report Starter at $29 per month, Individual Pro at $49 and Teams at $89 per seat, with about 20 percent off annual billing. These figures should be confirmed with the vendor. Lavender alternatives Outreach and Salesloft include built-in email guidance, Clay focuses on data enrichment and personalization, and Gong analyzes conversations. Lavender is specialized for email coaching.
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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.