Daniel Saks
Chief Executive Officer
Modern B2B sales teams face intense pressure to build pipeline faster and more efficiently. Traditional go-to-market tactics – manual prospecting, cold outreach, and juggling disparate tools – are struggling to keep up in 2025. Cold email response rates average only 1–5%(5), and reps often waste hours on low-yield tasks. Businesses that fail to adapt risk falling behind. Agentic AI SDR platforms are changing the game. These solutions deploy autonomous AI “sales reps” that can analyze massive datasets, identify high-intent prospects, orchestrate personalized multi-channel outreach, and continuously learn from each interaction – boosting conversion rates 4–7× while lowering costs by up to 70%(1) compared to traditional methods. Instead of overworked human SDRs grinding out emails, AI SDRs act as always-on extensions of your team – finding and engaging prospects 24/7 and generating pipeline at scale. Companies adopting these platforms report significant gains, such as 4–7× higher lead-to-meeting rates and 70%+ lower customer acquisition costs(1).
Below we highlight the top-rated AI SDR companies driving pipeline growth in 2025, along with their key features and real-world results.
Landbase stands out as the first truly agentic AI platform with complete autonomous workflow execution for B2B sales and marketing. In other words, Landbase functions like a full AI-powered SDR team that plans, executes, and optimizes campaigns with minimal human input. It’s powered by the proprietary GTM-1 Omni model – the world’s first AI action model purpose-built for go-to-market. GTM-1 Omni was trained on 40+ million B2B campaigns and 175+ million sales conversations(1), giving it an unrivaled knowledge base of what works in B2B outreach. Landbase couples this with a massive private dataset of 220+ million verified contacts (continuously updated in real time) and 10+ million intent signals to inform targeting(1). When a customer onboards, Landbase spins up a multi-agent AI team – for example, a GTM Strategist agent for campaign planning, an AI Marketer for content creation, an AI SDR for personalized outreach, plus RevOps and IT agents to manage data integration and email deliverability. These agents work in concert 24/7 to drive your pipeline from end to end.
Landbase’s platform is fully autonomous and covers the entire outbound funnel: it automatically finds and prioritizes prospects, writes hyper-personalized emails and LinkedIn messages, sends them at optimal times, follows up on replies, and even books meetings – all without hand-holding. Some defining capabilities include:
The bottom line is Landbase’s greatest strength: it delivers truly autonomous operation. Users can essentially “set it and forget it,” allowing the AI to run continuous outbound campaigns while human reps focus on closing deals. The results have been remarkable – customers report 4–7× higher conversion rates versus traditional outbound(1). In one case, a telecom client added $400,000 in new MRR in just three months during a normally slow season, eventually pausing campaigns because their account executives couldn’t handle the lead volume(1). By training on tens of millions of real sales conversations, Landbase’s AI writes messages that feel genuine and personalized, avoiding the off-brand, robotic content issues seen with some other tools. For B2B companies looking to accelerate pipeline generation without adding headcount, Landbase offers an all-in-one solution that many describe as an “autonomous SDR team” you can trust. Users consistently praise its ability to fill the funnel on autopilot – finding your next customer while requiring only minimal oversight.
11x.ai is a pioneer of AI-powered sales development, known for its duo of AI “digital workers” that automate both outbound and inbound SDR tasks. This San Francisco startup (founded in 2023) offers two main AI agents: Alice, an AI SDR focused on researching leads and sending personalized outbound emails at scale, and Jordan (formerly codenamed Julian), an AI agent for rapid inbound lead follow-up via phone(2). Together, they enable a 24/7 “always-on” SDR team that engages leads immediately and persistently. Alice handles cold prospecting across email, LinkedIn, etc., booking meetings on autopilot, while Jordan calls new inbound sign-ups within seconds to qualify them and hand off hot leads to humans. This one-two punch covers both sides of the funnel – ensuring no lead falls through the cracks.
11x positions itself as an AI-native alternative to hiring SDRs, boasting that its digital workers “never sleep, never quit, and never get tired of cold outreach.” Under the hood, 11x’s platform leverages a multi-agent architecture with extensive data integrations. According to TechCrunch, the company’s AI taps into numerous intent data sources and achieves email deliverability rates 5× higher than standard tools(1). In practice, the AI continuously monitors data signals (technographic info, firmographics, website engagement, etc.) to decide who to contact and when(1). 11x also emphasizes enterprise-grade infrastructure – e.g. managing sending domains and warm-ups – to maximize inbox placement. This focus on deep data and technical execution helps its AI SDRs outperform typical outreach sequences that might suffer from bounces or spam issues.
Another key strength is sheer scale and speed. Because these AI “workers” operate continuously, they can massively ramp up outreach volume. Alice can personalize outreach to hundreds of accounts simultaneously, while Jordan can instantly call every demo request or website inquiry. This immediacy can be game-changing – research shows 35–50% of sales go to the vendor who responds first to an inquiry(1). By automating that instant response, 11x gives companies a big advantage. Effectively, users get an always-on SDR team: every lead is contacted almost immediately and followed up persistently, day or night.
Though a young company, 11x.ai has gained notable investor backing and validation. It raised a $24M Series A in early 2024 led by Benchmark and, by September 2024, a $50M Series B led by Andreessen Horowitz at a ~$350M valuation(2). The CEO Hasan Sukkar told TechCrunch that 11x was approaching $10M in ARR around that time(2) – an impressive trajectory in under two years. In 2025, IBM even chose 11x as a partner to integrate AI sales agents into its enterprise offerings(1), a strong endorsement of the technology. On the customer side, 11x had reportedly 100+ clients by mid-2025(1), including tech names like Otter.ai and Airwallex (as mentioned in earlier reports). One client noted that deploying 11x’s Alice at scale replaced the output of 10 human SDRs single-handedly – a testament to the productivity boost from AI SDRs.
In terms of real-world impact, 11x has been somewhat guarded about publishing detailed case studies, but anecdotes are positive. For example, one source noted a company closed $700K in new ARR in 2 months after switching to 11x’s AI-driven outreach(1). And generally, teams report that the AI’s ability to personalize at scale and respond instantly led to major increases in meetings booked. Early adopters did experience some growing pains (like having to tweak messaging when the AI missed the mark), but 11x has been quickly improving its models. The addition of voice agent Jordan and a partnership with IBM show it’s pushing the envelope in autonomous outbound.
Overall, 11x.ai has positioned itself as a leader in AI SDR automation, especially for companies with large prospect pools that want to scale outreach exponentially. The name itself hints at multiplying productivity. Its always-on AI SDR bots allow a relatively small team to achieve outreach volumes (and speeds) that would otherwise require dozens of human reps. For organizations that need to send thousands of highly personalized touches per week or respond to inbound leads instantly, 11x offers a very compelling solution.
Artisan made waves with its provocative slogan “Stop Hiring Humans” in early marketing campaigns(1). Backed by Y Combinator, Artisan was founded in 2024 by a 23-year-old CEO (Jaspar Carmichael-Jack) and offers an AI SDR agent named Ava that automates the bulk of outbound sales development work. Ava acts as a virtual BDR: finding and researching prospects, writing highly personalized emails, and sending follow-ups at scale. The idea is to replace a human SDR’s repetitive outreach tasks with an AI “employee” who never sleeps and can engage thousands of prospects in parallel. Artisan’s vision extends to a whole team of AI agents – they jokingly call them “Artisans.” By late 2025 they plan to introduce agents like Aaron (for inbound lead handling) and Aria (for meeting scheduling)(1), but Avais the flagship currently driving results for customers.
Despite being a young company, Artisan quickly attracted both investors and users. In April 2025, it raised a $25M Series A led by Glade Brook Capital (with participation from HubSpot Ventures, among others)(1). By that time the founder revealed Artisan had 250 paying customers and ~$5M ARR from subscriptions to Ava(1) – very impressive growth roughly a year post-launch. This strong early traction underscores the market appetite for AI-driven outbound. Artisan also boasts a large contact database built-in (over 300 million B2B contacts with 60+ fields)(1), so users don’t need a separate data provider – you simply input your ICP criteria and Ava can automatically generate targeted lead lists. It enriches prospects with details from sources like LinkedIn, news, job postings, etc., and then crafts emails referencing specific details (e.g. recent funding, new hiring, tech stack) to maximize relevance(1). In fact, teams using deep personalization tools like Artisan have seen reply rates improve by over 100%+ when outreach is enriched with rich personal data – underscoring the power of AI-driven research in cold email success.
It hasn’t all been smooth sailing: Artisan’s journey illuminates both the promise and pitfalls of first-gen AI SDRs. Early versions of Ava in 2024 were far from perfect – users reported the AI sometimes wrote cringey emails or even hallucinated incorrect facts about prospects. The CEO candidly admitted “we had extremely bad hallucinations when we first launched” and response rates were poor(1). This led to some customer churn and was a wake-up call that an AI agent needs tight control to be effective in sales. Artisan responded by rapidly iterating. They worked closely with their AI model provider (Anthropic) and implemented stricter prompting and templates to keep Ava on-message(1). By mid-2025, they claim Ava’s hallucination rate dropped to maybe 1 in 10,000 emails(1). Essentially, they moved to a semi-controlled generation approach: companies fill out structured forms about their value prop and target persona, and Ava uses those inputs plus predefined frameworks to generate outreach content, rather than having free rein to improvise(1). This dramatically improved the quality and accuracy of AI-written emails.
Even with these improvements, Artisan acknowledges that Ava is still more of a “co-pilot” than a completely hands-off agent. Industry reviews (and Artisan’s own positioning) suggest Ava can automate roughly 80% of outbound tasks, but the other 20% still benefits from human oversight(1). For example, the AI might draft the emails and sequence, but a human might approve messaging for high-value accounts or handle complex replies. Onboarding Ava also involves some training/tweaking over a couple of weeks to get the tone and targeting right(1). In other words, Artisan’s AI can save enormous time, but it’s not yet a “set it/forget it” push-button solution on day one – some coaching and monitoring yields the best results. This contrasts with a platform like Landbase which emphasizes fully autonomous execution. Artisan is more akin to an AI assistant that augments your team, rather than a total replacement for strategy and quality control.
Nonetheless, many companies have derived significant value from Artisan Ava. It excels for teams that lack the bandwidth to send highly personalized outreach at scale. Ava can sift through the 300M contact database, pick prospects fitting your ICP, and send them custom-crafted messages as if written by a human SDR – freeing your team from the grunt work of prospecting. One early user, Bioaccess (a medical research firm), reported achieving 3%+ response rates and booking multiple sales calls within two months, purely from Ava’s automated efforts – results that would’ve been hard to reach manually. And broadly, reaching 250 customers and $5M+ ARR in ~1 year shows that many organizations are seeing enough ROI to pay for the product(1). Artisan has even experimented with creative pricing: through a partnership with Paid.ai, they began offering a success-based pricing option where customers can pay per qualified lead generated(1). This aligns incentives and signals confidence in Ava’s ability to deliver outcomes.
From a competitive standpoint, Artisan often comes up alongside Landbase in evaluations. A key difference is technical: Landbase built its own GTM-specific AI models and multi-agent system from the ground up, whereas Artisan relies on a fine-tuned GPT-4 model (Anthropic’s Claude) wrapped in an outbound tool interface(1). Artisan’s approach was faster to market but can be less robust; it doesn’t inherently “understand” sales and needs guidance. That said, Artisan clearly resonates with startups and mid-sized teams that want to boost outbound activity quickly without hiring more SDRs. Many customers likely use Ava as a force multiplier for their existing team – e.g. letting the AI send an extra 1,000 emails/week that the humans wouldn’t have capacity for, then having humans follow up on the interested replies. Even if the AI’s reply rate is modest (say ~1% on cold outreach, which the CEO mentioned is often a sweet spot(1)), at high volumes that yields a steady stream of leads and meetings.
In summary, Artisan (and Ava) demonstrate both the promise and the learning curve of AI SDR tools. The company’s rapid growth to 250+ customers shows automated prospecting is in demand, and with refinements, an AI like Ava really can perform much of an SDR’s job – Artisan’s clients have collectively generated millions in pipeline through the platform. But achieving those outcomes required effort in refining the AI and setting appropriate expectations (the AI isn’t magic; it’s a powerful helper that still benefits from human strategy input). Going forward, Artisan’s expansion into inbound (Aaron) and scheduling (Aria) will be interesting to watch as they move toward a multi-agent suite. For now, Ava remains one of the leading AI agents for outbound sales, especially for companies willing to guide the AI and integrate it into their workflow. It’s a prime example of how far AI for sales has come – and how a blend of human oversight plus automation can yield big wins.
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 research and workflow engine that can pull together unique prospect insights from dozens of sources and help automate outreach processes. It’s often used by SDR teams to build highly targeted lead lists and personalize their messaging using enriched data. While Clay isn’t a single AI agent contacting leads on its own, it plays a critical supporting role: providing the data intelligence and customizable workflows that can feed into any sales engagement system (human or AI).
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. For example, a user could input a list of target companies, and Clay will automatically enrich each one with relevant info – finding key contacts, pulling firmographic details, technographics, recent news mentions, social profiles, even analyzing things like satellite images of a company’s location if useful. These AI agents can monitor specific triggers (e.g. competitor mentions in the news, new job postings at a target firm, funding announcements) and alert you or initiate an outreach step when conditions are met. Clay essentially provides a no-code workflow builder where users drag-and-drop various data modules and AI actions to create custom prospecting “plays.” This flexibility means teams can tailor Clay to their unique process – whether that’s filtering prospects by a very niche criterion or inserting an ultra-personalized tidbit into each email.
Clay’s impact on pipeline comes from drastically reducing the manual effort to find and prep high-quality leads. By automating the heavy “research and list-building” phase, Clay lets reps spend more time actually engaging prospects. The company’s growth reflects how valuable this is: in 2024, Clay reported 6× year-over-year sales growth, reaching around $30M revenue, and by mid-2025 it announced a $100M Series C raise at a $3.1B valuation led by CapitalG (Alphabet’s growth fund). Clay has also scaled its user base rapidly – it now serves 10,000+ customers across many industries (with well-known users like OpenAI, Canva, and Intercom). While they haven’t publicly disclosed ARR, they noted revenue was on track to more than triple year-over-year in 2025. Such momentum landed Clay a sky-high valuation, underscoring investor belief in its approach.
Customers are drawn to Clay’s ability to orchestrate outreach “plays” that would be impossible manually. One quirky but powerful example: Clay can automatically count the number of warehouse parking spots from satellite images to estimate a company’s size, and use that insight to prioritize leads. The platform constantly surfaces creative data points like that, which sales reps can then leverage in their messaging (“I noticed your company’s facility has doubled in size – congrats on the expansion…”). All of this enriched intel flows into your emails or CRM, so reps have hyper-relevant talking points for every contact.
In practice, teams often use Clay alongside an engagement tool. Clay finds the “gold nuggets” of info and ideal prospects, then the actual sending of emails might be done via another system (though Clay has integrations to push leads into tools like Outreach or Salesloft). However, Clay is expanding into more autonomous territory too. They coined the term “GTM Engineering” – essentially having technical growth specialists build revenue “machines” in Clay. With the 2025 funding, Clay has been adding more autonomous agents for research and even messaging, so that in the near future it can not only enrich data but also take actions like sending an email or LinkedIn message on your behalf. In effect, Clay is steadily moving toward being an end-to-end AI SDR platform, but with a focus on data intelligence and extreme customizability. It’s ideal for teams that 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.” Clay’s Lego-block approach to AI sales workflows is incredibly powerful for those use cases.
Clay’s success shows that sometimes the smartest SDR isn’t one that sends the emails, but one that equips your humans (or other AIs) with better information. By automating research and list building, Clay unlocks personalized outreach at scale that would be impractical otherwise. It basically turbocharges whatever outbound system you pair it with. For organizations that have strong outbound reps or another sending tool, but need better data and targeting, Clay is a game-changer for pipeline growth.
Unify is an emerging AI go-to-market platform (founded 2023) that describes its mission as “transforming growth into a science.” In practice, Unify combines real-time intent data, AI-driven prospecting, and automated multi-channel engagement in one system designed for outbound sales. It’s a full 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. The company calls it a “system of action” for revenue teams, always aiming to get you “in front of the right customer at the right time with the right message.”
One of Unify’s differentiators is its focus on real-time intent signals. The platform tracks things like which companies are visiting your website, which accounts are researching relevant topics on third-party sites, and other triggers (e.g. a prospect just raised funding or posted a key job opening) to dynamically feed the AI with high-priority targets. For example, if someone from a Fortune 1000 company is poking around your pricing page, Unify will flag that and the AI will swiftly initiate outreach tailored to that interest. Unify’s AI agents then handle researching those accounts, finding contacts, personalizing messaging, and engaging across email or other channels – all automatically, as part of a “Play.” Users can set up automated Plays that string together multiple AI-driven steps (e.g. identify intent signals → enrich account data → sequence emails and LinkedIn touches → follow up on replies). It provides a no-code interface to customize these workflows, similar in spirit to Clay or Empler, but with more out-of-the-box focus on combining intent data with outreach.
The company has been growing rapidly alongside the AI SDR trend. In July 2025, Unify announced a $40M Series B funding round led by Battery Ventures (with OpenAI’s Startup Fund also participating) – notably, this came just 9 months after its Series A(3). Unify reported 8× revenue growth in the year leading up to that round(3), though specific ARR isn’t public. Such explosive growth suggests strong uptake of its platform in a short time. Unify has attracted a customer base including fast-growing tech companies like Cursor, Perplexity AI, Flock Safety, and others (tellingly, some AI companies themselves use Unify to accelerate their sales). A big selling point is ease of use: even non-technical sales folks can drag-and-drop pre-built 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. It’s an approachable way to put pretty sophisticated multi-step campaigns on autopilot.
Another hallmark of Unify is transparency and guardrails in its automation. They highlight features that keep the AI-driven workflows controllable – e.g. letting users set rules like “only email leads that meet criteria X” or requiring human approval if certain thresholds are hit. This addresses a common concern that fully autonomous systems could go off track; Unify tries to give the benefits of automation with the peace of mind of oversight (they call it “agentic automation with guardrails” in their materials).
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 – especially those who value leveraging intent data to strike while the iron is hot. A great example of Unify’s impact: in one case study, Perplexity AI (a well-known AI startup) used Unify to automate their outbound and booked $1.7M in pipeline in just 3 months without a single BDR on staff(3). By focusing on “warm” outbound plays (reaching out to high-intent prospects from their freemium user base and website visitors), they generated 80+ enterprise meetings and 75+ opportunities in a quarter(3) – results that would have required a sizable human team otherwise. Stories like that make it clear why Unify’s approach is resonating.
The landscape of sales and marketing is evolving rapidly, and businesses that fail to adapt risk being left behind. Traditional go-to-market strategies are often constrained by time-consuming manual processes, fragmented tools, and inefficiencies that slow down pipeline generation. Agentic AI is changing the game. Autonomous AI agents can now plan, execute, and optimize omni-channel campaigns with minimal human intervention. Instead of relying on disconnected systems and overworked SDRs, AI SDR agents operate as an extension of your team — analyzing vast datasets, identifying high-intent prospects, orchestrating outreach across multiple channels, and continuously learning from every interaction to boost engagement and conversion rates.
Landbase is leading this transformation with GTM-1 Omni, the world’s first agentic AI action model built specifically for go-to-market execution. Unlike traditional automation or generic AI add-ons, GTM-1 Omni doesn’t just assist with isolated tasks – it autonomously drives the entire GTM process, from prospect discovery and data enrichment to multi-channel outreach, optimization, and seamless handoff to your sales team. Businesses leveraging Landbase’s agentic AI are experiencing 4–7× higher conversion rates and up to 70% lower costs than before(1), with campaign launch times reduced from weeks to minutes. Powered by a proprietary dataset of 220M+ contacts, 24M+ companies, and 10M+ real-time intent signals, Landbase ensures every touchpoint is hyper-personalized, contextually relevant, and strategically timed to maximize outcomes(4).
In today’s competitive market, the ability to scale revenue operations without scaling headcount is a defining advantage. Agentic AI SDR platforms enable organizations to do more with less – helping sales and marketing teams reclaim valuable time, focus on closing deals, and accelerate predictable pipeline growth. Whether you’re a fast-growing startup building your first outbound motion, or an enterprise seeking to optimize GTM at scale, these AI solutions provide the intelligence and automation needed to stay ahead.
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