Best Clay Alternatives in 2026: 6 Tools Compared

Why look for Clay alternatives?

Clay combines multiple data providers with AI-powered research agents (Claygents) and workflow automation, making it powerful for teams that need custom data enrichment pipelines. However, its strength in flexibility can mean a steeper learning curve, and teams already invested in specific CRM ecosystems or those needing enterprise-grade AI governance may find better fits elsewhere. Some users also prefer platforms with native sales engagement features rather than building workflows from scratch.

Quick comparison

Apollo

Apollo combines B2B contact data, email sequencing, and workflow automation in a single platform, making it ideal for teams that want prospecting and outreach in one tool rather than Clay's enrichment-focused approach. Where Clay excels at pulling data from multiple providers and running AI research tasks, Apollo provides a native contact database with over 275 million contacts and built-in engagement tracking. It's best for sales teams that need to move quickly from list building to outreach without connecting multiple data sources.

Best for: Sales teams wanting prospecting and engagement in one platform Price: Freemium Free plan: Yes

Regie.ai

Regie.ai focuses on AI-generated personalized outreach content rather than data enrichment, positioning itself as a sales engagement platform (SEP) that scales pipeline without adding headcount. Unlike Clay's workflow automation for data operations, Regie.ai's personalization engine generates tailored messaging based on prospect signals. G2's Winter 2025 reports show Regie.ai secured over 58 recognitions across AI and sales tech categories, indicating strong user satisfaction with its content generation capabilities. Choose this if your bottleneck is writing personalized outreach at scale, not gathering data.

Best for: Teams needing AI-powered personalization for outbound campaigns Price: Freemium Free plan: Yes

Salesloft

Salesloft is an AI-powered revenue orchestration platform designed for sales teams managing complex, multi-touch outreach cadences with deep buyer insights. Where Clay focuses on data enrichment and research automation, Salesloft emphasizes orchestrating the entire revenue process with native CRM integration and conversation intelligence. Gartner Peer Insights recognized Salesloft as a 2024 Customers' Choice for Sales Engagement Applications for the second consecutive year. It's built for enterprise sales teams that need structured engagement workflows rather than flexible data pipelines.

Best for: Enterprise sales teams needing revenue orchestration with strong CRM ties Price: Freemium Free plan: No

Agentforce

Agentforce is Salesforce's enterprise AI agent platform that enables companies to build, deploy, and manage autonomous AI agents at scale within the Salesforce ecosystem. Unlike Clay's focus on B2B data enrichment and outbound workflows, Agentforce is designed for businesses already using Salesforce who want AI agents handling customer service, reservations, and support interactions. Reviews from Salesforce experts indicate it's essential for teams spending significant time interacting with online customers. Choose this if you're deeply embedded in Salesforce and need AI agents for customer-facing operations, not prospecting.

Best for: Salesforce customers building AI agents for customer interactions Price: Freemium Free plan: Yes

People.ai

People.ai focuses on revenue intelligence and activity capture rather than data enrichment, automatically logging sales activities and providing visibility into pipeline health. Where Clay helps you gather and enrich prospect data, People.ai analyzes your team's existing activities to surface insights and forecast revenue. Gartner Peer Insights reviews highlight that users leading sales teams appreciate the visibility it provides on potential revenue, with one noting it keeps them "ahead of the game." It's best for sales leaders who need to understand what their team is doing and where deals stand, not teams building outbound lists.

Best for: Sales leaders needing activity capture and revenue forecasting Price: Freemium Free plan: No

DataRobot

DataRobot is an enterprise AI and machine learning platform that enables organizations to build, deploy, and govern predictive models and AI agents at scale—a fundamentally different use case than Clay's B2B prospecting focus. While Clay automates data enrichment for sales teams, DataRobot provides data science teams with tools to create custom ML models for any business problem. Gartner recognized DataRobot as a Leader in the 2025 Magic Quadrant for Data Science and Machine Learning Platforms, and users gave it a 4.6/5 rating across 707 Gartner Peer Insights reviews. Consider this only if you need enterprise-grade ML infrastructure, not sales automation.

Best for: Data science teams building custom predictive models Price: Freemium Free plan: Yes

How to choose

If you need a native contact database with built-in sequencing and don't want to manage multiple data providers, Apollo gives you prospecting and outreach in one place. If your challenge is writing personalized messages at scale rather than finding contact data, Regie.ai's content generation engine is purpose-built for that. For enterprise teams already using Salesforce who need AI agents for customer interactions, Agentforce keeps everything in your existing ecosystem. If you're a sales leader trying to understand team activity and forecast accurately rather than build outbound lists, People.ai's revenue intelligence fits better than Clay's enrichment workflows.

Bottom line

Clay remains the strongest choice for teams that need flexible, multi-source data enrichment with AI research capabilities and don't mind building custom workflows. Apollo and Salesloft are better fits if you want prospecting and engagement combined in a more structured platform, while Regie.ai solves a different problem—content generation rather than data gathering. Agentforce, People.ai, and DataRobot serve distinct use cases (Salesforce AI agents, revenue intelligence, and enterprise ML respectively) and only make sense as Clay alternatives if those specific needs outweigh prospecting automation.