November 20, 2025

5 Best AI Cold Calling Software Ranked and Reviewed

Plura AI replaces traditional dialers with memory-driven, fully automated cold-calling agents. It dials, qualifies, and converts leads through natural, compliant AI conversations—scaling to millions of calls while syncing with your entire tech stack to boost productivity and conversion rates.
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Introduction

Gone are the days when sales teams relied on traditional outreach tools plagued by inefficiencies stemming from manual dialing, poor data synchronization, and compliance risks.

The modern, forward-looking sales team now relies on AI cold calling software, which provides scalable benefits such as reduced reliance on multiple tools, enhanced compliance, and substantial cost savings.

But what automated cold calling software is the best for your business, and what features should you prioritize?

Join us as we explore the best AI-enhanced cold calling tools to help your sales team qualify leads efficiently, increase conversion rates, and improve customer experience.

TL;DR - 5 Best Cold Calling Software

Let's kick off this discussion with a quick overview of the top five AI software solutions for cold calling.

  1. Plura
  2. Bland
  3. Lindy
  4. Nextiva
  5. Martal

We'll discuss each of these tools in greater detail later. But first things first: to provide the full context of what these tools are and why they matter.

What Is AI Cold Calling Software?

AI cold calling software is a specialized technology that uses artificial intelligence, particularly machine learning and Natural Language Processing, to automate business-customer call interactions.

With AI-powered cold calling tools, you can automate and enhance outbound sales calls by dialing leads, having conversational interactions, personalizing outreach scripts, and providing real-time data and insights to your sales team.

The working mechanism can differ from one tool to another. Some can handle entire conversations, while others act as supportive assistants, feeding human agents information and real-time suggestions.

Regardless of the working mechanism, the ultimate goal is to boost productivity and conversion rates.

AI Cold Calling Software vs. Traditional Dialers

Let's take a quick look at how AI cold calling platforms differ from traditional dialers:

AspectAI Cold Calling SoftwareTraditional Dialers
FunctionalityAutomates both dialing and conversational tasks.Automate the dialing process only.
IntelligenceHighly intelligent systems that can learn, adapt, and make data-informed decisions.No learning capability since they follow fixed scripts or manual agent input.
AvailabilityRound-the-clock capabilities, as they are always online.Limited by the availability of human agents and operators.
Cost-effectivenessLower operational costs because of improved efficiency and reduced resource wastage.Costly as they require many human agents.
ConsistencyDelivers consistent messaging, compliance, and tone across all calls.Varies depending on the individual agent's mood and performance.
ScalabilityCan handle thousands of calls simultaneously without significant additional overhead.Scaling requires hiring and training more agents, which increases costs.
Data Collection and AnalysisAutomatically collects and analyzes call data for real-time optimization.Data is usually collected manually or post-call, making real-time insights rare.

Key Features of AI Cold Calling Software

Now that you understand what AI cold calling software is and how it differs from traditional dialers, let's examine some of the key features to consider in AI-driven versions.

  • Conversational AI: Through Natural Language Processing (NLP), AI cold calling systems can understand and respond to human speech to allow for natural, human-like conversations with your prospects.
  • Automation and Workflow Management: AI can automate calls (with consent) from contact lists to reduce manual effort. They also allow you to customize workflows to streamline your outreach processes.
  • Systemic Integrations: Most cold calling systems link with your existing technology stack and can manage multiple integrations from one platform.
  • Lead Management: Most AI cold calling platforms contact and qualify leads based on specific timelines, budgets, and preferences. They can also contact and follow up with prospects promptly to ensure you don't lose any opportunities.
  • Client Relationship Management: The right AI cold calling tool can maintain consistent communication with past clients through market updates, regular check-ins, and referral requests.

5 Best AI Tools for Cold Calling

Let's now explore some of the best AI software for cold calling you can use to leverage modern features that aren't available with traditional systems.

1. Plura

Plura is an AI-driven enterprise-level communications platform designed to automate interactions across voice (calls), chat, and SMS channels.

Plura goes beyond ordinary AI cold calling methods by allowing you to create, test, and deploy advanced AI agents that can handle calls in your brand's voice.

Here are Plura’s core features and capabilities that make it stand out from the competition:

  • AI-First Architecture: Plura’s design is based on AI as the core system to enable natural, adaptive, and context-aware call interactions.
  • Memory-Driven AI Agents: Plura deploys AI agents that remember the context of past conversations to deliver coherent, personalized responses.
  • Diverse Integrations: Plura’s infrastructure enables seamless connections with your existing tech stack, including tools such as NumberVerifier, Zapier, Cal.com, and Salesforce. Plura also connects with Cometly to feed call data back to Google, Meta, Microsoft, and TikTok accounts to find real buyers.
  • AI Predictive Dialer: Our dialer features built-in telephony and supports intelligent outbound calling with consent, call pacing, timezone-aware dialing, retries, and real-time monitoring. This smart outbound dialing helps optimize connection rates.
  • No-Code Workflow Builder: Plura has a drag-and-drop workflow builder and pre-built templates that allow you to customize processes, connect with APIs, and go live with AI agents in under 7 days.
  • Robust Security and Built-in Compliance: Plura uses top-notch industry security and compliance protocols, which are particularly important for high-call-volume and compliance-intensive industries like real estate, healthcare, and insurance. You can experience ISO compliance, SOC 2 certification, HIPAA, TCPA rules, and DNC scrubbing.

Book a demo today to see Plura in action.

2. Bland

Bland is an AI-powered conversational platform that supports use cases such as logistics ID verification, appointment booking, and financial intake.

While both Plura and Bland offer brand-aligned AI agents with human-like interactions, Plura takes it a step further with memory-driven AI agents that remember past call contexts to provide coherent responses.

3. Lindy

Lindy is an AI-driven solution for building AI agents focused more on phone calls for sales, customer support, and recruiting teams.

While Lindy offers email automation and AI-powered phone calls, Plura provides true omnichannel solutions for voice calls, chat, and SMS, featuring seamless channel switching capabilities.

4. Nextiva

As a unified customer experience management platform, Nextiva has a conversational platform with solutions such as business voice, text messaging, and local phone numbers.

Nextiva may offer many solutions, but Plura's sole focus on communications using AI agents allows businesses to improve customer experience faster through 24/7, memory-driven personalization.

5. Martal

With Martal, a unified outbound platform, businesses can access AI agents that support outbound cold calling, lead generation, and appointment setting.

Plura offers more brand-aligned AI agents with customizable voice, including professional voice of the CEO capabilities, to foster confidence and trust amongst prospects for better lead generation.

Smarter conversations drive real results

Get a demo

How to Choose the Right AI Cold Calling Software

Let's now discuss the key steps to help you pick the best AI cold calling tool from our list.

  1. Define Your Business Goals: Determine what you want to achieve with AI cold calling, such as generating leads or enhancing customer engagement. Clarify the specific metrics you'll use to measure performance. These can include call volume, conversion rates, and increased revenue.
  2. Evaluate Capabilities and Features: Look for a tool with advanced features like predictive dialing, direct FCC licensing, and campaign automation. Ensure the tool integrates with your CRM and other software.
  3. Assess Ease of Use: Choose a tool that your sales team can learn and use with ease. The interface should be clean and straightforward, making it easy to launch and manage campaigns, track progress, and generate insights.
  4. Consider Flexibility and Scalability: Look for software that can scale with your business as it grows, accommodating additional users or AI agents and handling increased call volumes.
  5. Review Pricing Plans: Compare the prices and pricing models of different tools to determine the one that best fits your budget.
  6. Consider Customer Support: Confirm that the vendor offers reliable customer service and support, including onboarding and troubleshooting. Check if they have resources like blogs, training sessions, documentation, or tutorials available.
  7. Evaluate Testimonials and Reviews: Ask for recommendations and feedback from other past and current users to gauge the tool's reliability and effectiveness. Check if you can find testimonials or success stories from businesses similar to yours.

Implementation Best Practices for AI Cold Calling Tool

Choosing the right tool alone isn't enough. Here are some ways to successfully implement AI for cold calling:

  • Prioritize Your Needs: Work with your teams to analyze your main challenges in sales. The analysis helps you prioritize features you can't forfeit, such as automating outbound calls and qualifying leads. With these features in mind, finding the most appropriate tool will be easy.
  • Train Every User: Like any other AI tool, AI-enabled cold calling systems are new and evolving. Your sales representatives and other team members require onboarding, even if they are tech-savvy. Be sure to secure training sessions, live product demos, and ongoing support.
  • Integrate Extensively: Integrating your preferred AI tool with the software you already use is important for operational efficiency. For example, your sales team should prioritize integrating the tool with your CRM to streamline data collection and minimize manual data entry.

Monitor Performance and Optimize Regularly: Audit the tool's performance on a quarterly, monthly, or weekly basis. You can increase your success rate by fine-tuning your metrics frequently, which helps the AI better understand your needs.

Conclusion

Different automation capabilities can boost your sales team's productivity by improving lead qualification, increasing conversions, and boosting revenue.

Once you identify your most urgent needs, it will be easy to select the best software for cold calling, which has all the features and capabilities you require to achieve your desired outcomes.

When you choose Plura as your preferred AI cold calling software, you can deploy unlimited AI agents to scale to millions of concurrent calls and improve conversion rates through memory-driven personalization.

Plura's advanced dialer enables you to automate outbound calls with explicit consent, ensuring your outreach efforts remain compliant with top industry standards and regulations, particularly in compliance-intensive sectors such as healthcare and real estate.

Boost conversions with Plura today.

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FAQs

How Much Does AI Cold Calling Software Cost?

The cost of AI cold calling software varies significantly from one vendor to another, depending on the pricing model, integrations, features, and platform type. You can spend less than $10 per user per month for simple tools and upwards of $100 per user per month for advanced ones. You can always use our ROI calculator to estimate the number and costs of Plura AI agents. The calculator can also show how much you can save with our AI agent system compared to human agents.

Is AI Cold Calling Effective for B2B Sales?

Yes, AI cold calling is absolutely effective for B2B sales. You can automate your outreach processes, qualify leads more successfully, and increase your productivity. It's also possible to personalize conversations, reduce objections, and make follow-ups easier.

How Does AI Cold Calling Compare to Human Representatives?

AI cold calling offers greater flexibility and scalability, with real-time data management and the efficient handling of high call volumes. On the other hand, human representatives are better at emotional intelligence, relationship-building, and navigating complex negotiations. The best approach is to use AI and human agents collaboratively to complement each other. For example, personalizing your AI agents with branded voices can help personalize customer interactions to convert more leads.

Can AI Cold Calling Software Integrate with My Existing CRM?

Most AI cold calling software can integrate with your existing CRM (Customer Relationship Management) software to synchronize customer data in real time, automatically record call outcomes, and personalize conversations with prospects.

What Data Does AI Cold Calling Software Need To Perform Effectively?

AI cold calling software requires access to high-quality lead data, including contact details, industry, company size, and prior interactions with your brand. Call scripts and relevant customer insights are also necessary to personalize customer engagement and optimize conversions.

What Industries Benefit Most From AI Cold Calling Software?

Some of the industries that benefit most from AI cold calling software include finance, real estate, recruitment, healthcare, e-commerce, and insurance. These industries rely on high-volume outreach and personalized lead engagement to drive conversions and fill sales pipelines efficiently.

What KPIs Should Be Tracked With AI Cold Calling Campaigns?

To monitor the success of your AI cold calling campaigns, track critical KPIs such as call connection rate, average call duration, lead conversion rate, appointment-setting rate, and cost per acquisition. These metrics help you measure the effectiveness, engagement quality, and overall ROI of every campaign.

How Long Does It Take to Implement AI Cold Calling Software?

You can implement AI cold calling software in a few days to a couple of weeks, depending on integration needs, system complexity, and the quality of your existing data. To ensure a streamlined and fast implementation, you should prepare clean lead lists and ensure the software’s capabilities align with your cold calling goals.

Unlock smarter conversations and drive real results

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