Daniel Saks
Chief Executive Officer
AI SDR platforms are emerging as game-changers for B2B pipeline generation. In today’s sales landscape, traditional go-to-market strategies—relying on manual prospecting, disjointed tools, and repetitive outreach—can no longer keep up(1). Cold email reply rates have plummeted, averaging just ~5% or less in recent years. Businesses that fail to adapt risk being left behind. Agentic AI is changing the game. Autonomous AI agents can analyze massive datasets, identify high-intent prospects, orchestrate multi-channel outreach, and continuously learn from interactions to boost engagement and conversions, all with minimal human input. Instead of fragmented systems and overworked SDRs, AI SDR platforms act as always-on extensions of your team—finding prospects, personalizing outreach at scale, and generating pipeline around the clock. Companies adopting these solutions report significant gains, such as 4–7× higher conversion rates and up to 70% lower costs compared to traditional methods(1). Below we highlight the top-rated AI SDR companies driving pipeline growth, their key features, and real-world results.
Landbase stands out as the first truly agentic AI platform with complete autonomous workflow execution. It essentially functions as an “AI SDR team” that plans, executes, and optimizes B2B campaigns with minimal human intervention. Powered by its proprietary GTM-1 Omni model (trained on over 40 million B2B sales interactions and billions of data points), Landbase’s multi-agent system can handle complex sales processes independently from end to end.
Landbase’s GTM-1 Omni deploys multiple specialized AI agents that mirror go-to-market roles (GTM engineer, marketer, SDR, RevOps, IT, etc.) working 24/7 in concert(1). The platform comes with a massive built-in dataset – over 220 million B2B contacts and 24 million companies, enriched by 10+ million real-time intent signals(1). This allows Landbase to automatically find and prioritize ideal prospects, then craft highly personalized multi-touch outreach sequences across email, LinkedIn, calls, and more(1). Notably, Landbase’s AI handles all the technical heavy lifting (deliverability, domain management, analytics) behind the scenes(1), so users can launch campaigns in minutes instead of months(1). Its intelligent warm-up and sending systems even enable sending up to 3,000+ emails per day per domain without deliverability issues (by gradually warming and rotating sending domains).
Landbase’s greatest strength is truly autonomous operation. Users can “set it and forget it,” letting the AI run continuous outreach while the team focuses on closing deals. The results have been remarkable – customers report 4–7× higher conversion rates versus traditional outbound(1). One telecom client added $400,000 in new MRR in a normally slow season with Landbase, eventually pausing campaigns because their account executives couldn’t handle the lead volume. Landbase’s agentic approach also emphasizes quality: by training on tens of millions of successful sales conversations, its AI writes messages that read as authentic and human, avoiding the spammy, off-brand content issues that plague some generic AI tools. For B2B SaaS companies looking to accelerate pipeline generation without scaling headcount, Landbase delivers an all-in-one solution – users frequently praise that it operates like an autonomous SDR team you can trust. It’s an ideal platform to “find your next customer” and scale outreach with unprecedented speed and efficiency.
11x.ai is a pioneer in AI-powered sales development, known for its duo of AI “digital workers” that automate both outbound and inbound SDR tasks. The company offers two primary agents: Alice, an AI SDR focused on researching leads and sending personalized outbound emails at scale, and Julian, an AI agent for inbound lead follow-up (e.g. instant call responses to demo requests)(1). Together, they enable a 24/7 “always-on” SDR team that engages leads immediately and persistently.
11x has gained significant traction as an early mover in this space. Founded in 2023, it quickly caught investors’ attention – raising a $24M Series A led by Benchmark and a $50M Series B led by Andreessen Horowitz by late 2024. This valued the company around $350M and put it ahead of many peers in funding. More importantly, it’s delivering results for customers: by the end of 2024, 11x was serving 200+ customers (including tech names like Otter.ai and Airwallex) and had grown revenue 5× that year(1). One client reported that deploying Alice at scale replaced the output of 10 human SDRs single-handedly(1), thanks to the agents’ ability to personalize outreach at volume and engage leads around the clock. In another instance, after switching to 11x’s sales AI, the company closed $700K in new ARR within 2 months(1) – evidence of the pipeline boost these AI SDRs can provide.
On the technology front, 11x’s AI is optimized to craft human-like emails and messages. It avoids generic templates by referencing prospect-specific details (pulled from LinkedIn, news, etc.) to maximize relevance(1). The platform intentionally targets companies with large TAMs (total addressable markets) that can benefit from high-volume outreach – as some users note, having a broad contact pool is key to seeing strong results(1). To address both sides of the funnel, Alice handles cold outbound prospecting while Julian ensures fast follow-up on inbound inquiries (a crucial advantage, since the vendor who responds first often wins the deal)(1). This one-two punch means leads are never missed: every website sign-up or demo request can get an immediate call or email from Julian, while Alice continuously fills the top of funnel with new meetings.
It’s worth noting that as with many cutting-edge AI SDR tools, early users of 11x did experience some growing pains (e.g. the need for occasional human tweaking if messaging missed the mark). However, 11x has been improving its models and even partnering with larger platforms – in 2025, IBM chose 11x as a partner to integrate AI sales agents into its product suite, a strong endorsement of the tech(1). Overall, 11x.ai has positioned itself as a leader in autonomous outbound. For companies that have a large universe of prospects and want to scale outreach exponentially, 11x’s AI SDRs can literally multiply productivity (hence the name).
Artisan — “Stop Hiring Humans” AI SDR (Ava) for Outbound Personalization
Artisan made waves with its provocative slogan “Stop Hiring Humans” in early marketing campaigns(2). Backed by Y Combinator and founded in 2024 by a 23-year-old CEO, Artisan offers an AI SDR agent named “Ava” that automates the bulk of outbound sales development work. Ava acts as a virtual BDR (Business Development Representative): finding and researching prospects, writing highly personalized emails, and sending follow-ups at scale, all while a human can optionally stay in the loop for oversight(1). Artisan essentially promises to replace a human SDR’s repetitive tasks with an AI employee who “never sleeps.”
The startup quickly gained investor and customer traction. In April 2025 Artisan raised a $25M Series A led by Glade Brook Capital (with HubSpot Ventures among others participating)(1). By that time, Artisan had 250 paying customers and about $5M ARR from subscriptions to Ava(1) – an impressive ramp in roughly a year since launch. This indicates strong market appetite for AI-driven outbound. Artisan’s platform includes a massive contact database (over 300 million B2B contacts with 65+ data fields) that Ava can draw from(1), eliminating the need for separate data sourcing. Users simply define their Ideal Customer Profile and messaging guidelines, and Ava can autonomously generate targeted lead lists and craft emails referencing specific prospect details (e.g. recent funding, job postings, LinkedIn updates) to maximize personalization(1). In fact, teams using AI personalization tools like Artisan have seen reply rates improve up to 140% when outreach is enriched with deep data(1) – underscoring the power of AI-driven research in cold email success.
Like many AI SDR tools, Artisan experienced early hiccups. Initial versions of Ava in 2024 had issues with “hallucinations” (the AI fabricating incorrect details about prospects) and low response rates(2). The founder candidly admitted the first-gen product’s emails made him “cringe in pain” due to mistakes(2). However, Artisan rapidly iterated: by working closely with their AI model provider (Anthropic) and implementing stricter prompting and templates, they reduced AI errors dramatically. As of 2025, Ava’s hallucination rate dropped to roughly 1 in 10,000 emails(2). The system now uses a controlled generation approach – companies fill out structured forms about their value prop, and Ava uses those inputs to stay on-message(2). Artisan also introduced an optional human approval workflow, allowing teams to review or edit AI-written emails before sending(1), which helped cautious customers gain confidence.
The result is a much more reliable AI SDR agent that can automate ~80% of outbound tasks while still keeping humans in the loop for the trickiest 20%(1). Clients have leveraged Ava to reach 3–5× more prospects without adding headcount, by letting the AI handle the drudge work of prospecting and outreach(1). Artisan also plans to expand beyond Ava – launching agents like Aaron (for inbound lead handling) and Aria (for meeting scheduling) later in 2025(1) – aiming to build a whole suite of “AI employees” for sales. For now, Artisan’s Ava is especially popular with startups and mid-size teams that want to scale personalized outbound quickly but still maintain a human touch. It’s like hiring a junior SDR who can send thousands of well-researched emails in the time a human might send a few dozen, all while your team oversees strategy and jumps in only when needed.
Clay is a slightly different entry among AI SDR platforms. Rather than an autonomous email-sending “SDR bot,” Clay is an AI-powered data enrichment and sales automation platform that serves as a smart prospecting assistant for go-to-market teams. Think of Clay as an AI-enhanced researcher that can pull together unique prospect insights from dozens of sources and help automate outreach workflows. It’s often used by sales teams to build highly targeted lead lists and personalize their messaging using enriched data.
At its core, Clay connects to over 100+ premium data sources (and by 2025, 150+ sources) and employs AI “research agents” to gather intel on prospects(3). For example, a user could feed Clay a list of companies, and the platform will automatically enrich each one with relevant info: finding key contacts, grabbing technographic and firmographic details, recent news mentions, even analyzing satellite images or web traffic if useful(3). These AI agents can monitor specific triggers—like competitor mentions or hiring trends—and alert you or initiate an outreach play when conditions are met(3). Clay essentially provides a no-code workflow builder where you drag-and-drop AI and data modules to create custom prospecting sequences. This flexibility means teams can tailor Clay to their unique process, whether that’s filtering prospects by a niche criterion or sending a hyper-personalized snippet in each email.
Clay’s impact on pipeline comes from drastically reducing the manual effort to find and prep high-quality leads. In 2024, Clay reported 6× year-over-year sales growth and was generating about $30M revenue(4). By mid-2025, the company announced a $100M Series C raise at a $3.1B valuation led by CapitalG (Alphabet’s growth fund)(3) – a testament to its momentum. Clay has also scaled its user base rapidly; it now serves 10,000+ customers (including big names like OpenAI, Canva, and Intercom) across many industries(3). While Clay doesn’t disclose exact ARR, it noted its revenue was on track to more than triple year-over-year in 2025(3). Customers are drawn to the ability to orchestrate outreach “plays” that would be impossible manually. For instance, Clay can automatically “count the number of warehouse parking spots from satellite images to gauge a company’s size” as one quirky but powerful example of insight to prioritize leads(3). All of this enriched data is then fed into your sales emails or CRM, so reps can focus conversations on very specific pain points or triggers.
In practice, teams often use Clay alongside an engagement tool: Clay finds the gold nuggets of info and prospects, then the actual sending can be via email sequences (Clay even has integrations to push leads into Outreach, Salesloft, etc.). However, Clay is expanding into more autonomous territory too. They coined the term “GTM Engineering” – essentially using technical growth specialists to build revenue “machines” in Clay(3). With its 2025 funding, Clay is adding more autonomous agents for research and messaging so that it can not only enrich data but also take actions like sending emails or LinkedIn messages on your behalf(3). In effect, Clay is moving toward being an end-to-end AI SDR platform, but with a focus on data intelligence and customizability. It’s ideal for teams that want extreme personalization and control – those who say, “We have a unique process and data sources, and we want an AI that conforms to us, not a one-size-fits-all bot.” For such use cases, Clay’s “Lego block” approach to AI SDR workflows is incredibly powerful in driving pipeline.
Unify is an emerging AI GTM platform (founded 2023) that describes its mission as “transforming growth into a science.” In practice, Unify combines intent data, AI-driven prospecting, and automated multi-channel engagement in one system designed for outbound sales. It’s an agentic AI SDR platform where, similar to others, you can hand off the entire prospecting and outreach process to AI agents — but Unify puts a special emphasis on capturing buying intent signals and timing outreach for when prospects are most receptive(4).
One of Unify’s differentiators is its focus on real-time intent signals: tracking things like which companies are visiting your website, who’s showing buying intent on third-party sites, or other triggers (e.g. funding announcements) to dynamically feed the AI with high-priority targets(4). The platform then uses AI agents to research those accounts, personalize messaging, and engage across email or other channels – all in what Unify calls a “system of action.” Essentially, it strives to always get you “in front of the right customer at the right time with the right message”(4). Users can create automated “Plays” that handle prospecting, enrichment, sequencing, and follow-ups on autopilot(4). Unify also provides a no-code interface to customize workflows, similar in philosophy to Empler and Clay, but with more out-of-the-box focus on combining intent data and outreach.
The company has been growing rapidly alongside the AI SDR trend. In July 2025, Unify announced a $40M Series B funding led by Battery Ventures (with OpenAI’s Startup Fund also participating)(4). This came just 9 months after its Series A, as Unify had 8× revenue growth in the past year leading up to the round(4). While specific ARR isn’t public, such explosive growth suggests strong uptake of its platform. Unify has attracted a customer base including fast-growing tech companies like Cursor, Perplexity AI, Flock Safety, and others(4) – notably, some AI companies themselves use Unify to accelerate their sales. The platform’s ease of use is a selling point: users (even non-technical sales folks) can drag-and-drop pre-built AI agent components to quickly deploy an outbound engine. For example, you might set up a Play where one agent pulls a list of target accounts showing intent (say, downloaded a whitepaper on your site), another agent enriches those with contacts and insights, and another sends a personalized email sequence – all without writing code(1).
Another hallmark of Unify is transparency and guardrails in automation. They highlight features to keep AI-driven workflows controllable – e.g. letting users set rules like “only email leads that meet criteria X” or requiring approval if certain thresholds are hit(1). This addresses a common concern that fully autonomous systems could go off-track; Unify aims to give the benefits of automation with the peace of mind of oversight (“agentic automation with guardrails” in their terms)(1). With a team of ~50 and growing, Unify is still early-stage relative to giants like ZoomInfo or Salesforce, but it represents the new wave of nimble AI sales platforms. It’s particularly appealing for organizations that want an all-in-one outbound engine without piecing together many tools – and who value leveraging intent data to strike while the iron is hot. For instance, one of Unify’s case studies showed a customer booking $1.7M in pipeline in a short time by focusing on warm outbound plays (reaching inbound-engaged prospects) instead of traditional cold calls(4).
Even industry incumbents are entering the AI SDR arena. Salesforce Agentforce is Salesforce’s new AI agent platform (introduced in 2025) that allows organizations to build and deploy autonomous agents across sales, service, and more(5). In the sales context, Agentforce can be seen as Salesforce’s answer to the AI SDR trend: it leverages Salesforce’s massive CRM data and Atlas AI models to create “digital reps” that can handle various tasks. For example, Agentforce for Sales can automate prospect follow-ups, data entry, or even multi-step sales processes, all integrated natively in the Salesforce ecosystem(5). The vision is humans and AI agents working together within Salesforce.
While still early, Salesforce has touted significant productivity gains from Agentforce in pilot programs. One reported result is a 40% improvement in case resolution times when using AI agents for support tasks – and similar efficiency boosts are expected on the sales side (e.g. faster lead responses, automatic scheduling of meetings, etc.). Agentforce essentially brings credibility to the AI SDR concept for larger enterprises that already run on Salesforce. Instead of relying on a startup tool, businesses can theoretically use Agentforce to configure an AI SDR that fits their custom CRM workflows, with the trust and security of the Salesforce platform behind it(2).
Salesforce’s move also validates the space: when the world’s #1 CRM declares that “AI agents” are the next big thing in sales, it signals that autonomous SDRs are here to stay. In fact, TechCrunch noted that Salesforce (with Einstein GPT/Agentforce) and other giants like Microsoft and HubSpot adding AI assistants are blurring the lines between traditional software and autonomous agents. Salesforce Agentforce comes with tools like an Agent Builder and an Agent Exchange (marketplace) for pre-built agents, indicating a robust ecosystem forming. For sales teams, Salesforce’s AI agents could do things such as: automatically qualify inbound leads via email conversation, engage dormant opportunities with personalized nudges, or serve as an “AI SDR” that monitors the CRM for trigger events (like a stalled deal) and takes action.
One challenge is that Agentforce is relatively new and may require technical setup by Salesforce developers. It’s not a plug-and-play SDR in a box; rather, it’s a platform to create your own agents. Thus, while enterprise-grade and powerful, mid-market companies might find standalone AI SDR products faster to implement for now. That said, Salesforce’s entry will push all players to up their game on integration and reliability. We can expect Agentforce to rapidly evolve, and it wouldn’t be surprising if in coming years Salesforce offers its own pre-trained SDR agent out-of-the-box. In summary, Salesforce Agentforce represents the mainstreaming of AI SDR tech – bringing autonomous sales agents into the toolkit of Fortune 1000 companies. As these agents mature, large sales organizations could see huge efficiency gains (imagine every sales rep having an AI “co-pilot” SDR filling their pipeline). The landscape is certainly heating up, with Salesforce signaling that AI-driven pipeline generation is a key part of the future of CRM.
The landscape of sales and marketing is evolving rapidly. Businesses that fail to leverage AI for go-to-market risk being left behind. Traditional GTM strategies are often constrained by time-consuming manual processes and fragmented tools that slow down pipeline generation. Agentic AI SDR platforms offer a new path: autonomous agents that plan, execute, and optimize campaigns with minimal human intervention. Instead of relying on disconnected systems and repetitive human effort, AI SDRs operate as an extension of your team—analyzing vast datasets, identifying high-intent prospects, orchestrating outreach across channels, and continuously learning to improve engagement and conversion rates. Platforms like Landbase are leading this transformation. Landbase’s GTM-1 Omni model, for instance, autonomously drives the entire GTM process – from prospect discovery and data enrichment to multi-channel outreach and handoff to sales – delivering 4–7× higher conversion rates and launching campaigns in minutes instead of weeks(1). Businesses leveraging such agentic AI report not only more pipeline, but significantly lower costs (often 70-80% less) since they can scale revenue without scaling headcount(1).
In today’s competitive market, the ability to fill your pipeline intelligently and efficiently is a defining advantage. AI SDRs enable organizations to do more with less – freeing up your sales team to focus on closing, while the AI handles the heavy lifting of prospecting and outreach. Whether you’re a fast-growing startup building your first outbound motion or an enterprise optimizing at scale, embracing the next evolution of AI-driven GTM can give you a formidable edge. The companies profiled above demonstrate the possibilities: from fully autonomous “SDR teams” on autopilot, to AI copilots that supercharge human reps, to custom no-code AI workflows – there are solutions to fit every strategy.
Now is the time to explore how agentic AI can revolutionize your revenue operations. Organizations that integrate AI SDR technology early will capture more opportunities, respond faster to buyer signals, and scale pipeline around the clock without proportional increases in cost. In short, they’ll have a competitive edge in driving predictable growth. Don’t get left behind as this new wave transforms B2B sales. Take a closer look at platforms like Landbase’s agentic AI SDR, and others in this list, to find the right fit for your team. Adopting an AI SDR solution could be the key to unlocking 10x pipeline impact and truly intelligent, autonomous go-to-market execution. Discover how agentic AI can accelerate your growth – your next best customers are out there, and now there’s an AI ready to help you win them.
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