About
Landbase builds agentic AI infrastructure for sales, marketing, and revenue-operations teams to identify, qualify, and activate prospective customers. Its differentiation is the combination of proprietary GTM AI models, multi-agent automation, enriched B2B data, and a unified interface intended to replace many separate go-to-market tools.
Market
Landbase competes in the B2B sales-intelligence, lead-intelligence, buyer-intent, sales-engagement, and GTM-automation market. It positions itself as agentic GTM infrastructure rather than a static contact database: GTM Omni and its AI agents combine proprietary GTM data, web data, signals, predictive models, and workflow automation to continuously find, qualify, enrich, and activate accounts. Its differentiation is autonomous execution, natural-language targeting, lookalike and pipeline-exclusion capabilities, real-time signals, and native workflow/CRM integration, versus competitors that may require manual list work, custom code, or separate automation tools.
Landbase targets B2B revenue teams—especially sales, marketing, RevOps, outbound, account-executive, growth, and founder-led teams—that need to identify, qualify, enrich, and activate target accounts at scale. Its stated industry fit includes IT and software, MSPs and VARs, ecommerce and retail, and telecommunications, with the strongest fit likely among growth-stage and enterprise-oriented organizations with structured GTM operations.
At a Glance
Problem
B2B sales and RevOps teams struggle to identify which accounts are genuinely worth pursuing. Traditional outbound relies on static lists, generic segmentation, and manual research that can take one to three weeks, while SDRs often target the same broad audiences and sequences as competitors. The economic cost is wasted selling time and lower conversion efficiency; the killer use case is rapidly finding accounts that match a precise ICP and show timely buying signals such as new funding, hiring, CRM changes, or technology adoption.
Product / Service
Landbase is an agentic AI go-to-market platform that lets teams describe their ideal customer in natural language, then uses AI agents to source and qualify the total addressable market, enrich accounts and contacts, detect buying signals, and activate audiences across campaigns. It tracks more than 1,500 real-time signals and can deliver scored, verified, pipeline-ready accounts directly to HubSpot or Salesforce.
The product is delivered as cloud-based SaaS for sales, marketing, RevOps, growth, and outbound teams. Its value proposition is replacing filter-and-export workflows and manual list building with autonomous, continuously refreshed qualification: customers can adjust ICP criteria, re-score segments, and receive CRM-ready audiences in hours rather than weeks. Landbase claims a 50% improvement in qualification accuracy versus manual methods, while customer-facing materials cite 50-plus qualified meetings in customers’ first weeks.
Market
Landbase competes in the emerging agentic AI and AI-powered go-to-market category, spanning sales intelligence, TAM and ICP qualification, outbound automation, audience activation, and RevOps workflow software. Its target customers include B2B SaaS and enterprise software companies, cybersecurity providers, IT services firms, MSPs, VARs, ecommerce and retail businesses, and telecom companies. The available research does not name specific company competitors; the closest competitive alternatives are traditional sales-intelligence and data-enrichment tools, outbound sequencing platforms, and manually operated RevOps workflows.
The evidence indicates commercial adoption rather than a pre-revenue concept: Landbase says that thousands of revenue teams use the platform, cites customer results including 50-plus qualified meetings in the first weeks, and features a testimonial reporting $400,000 in added MRR during a slow period. Gartner has also named Landbase a Cool Vendor, highlighting its natural-language audience targeting, autonomous agents, TAM sourcing, ICP qualification, and pipeline-generation approach.
Founders & Leadership
Funding History
A*, 8VC, Firstminute Capital
Not publicly disclosed
Sound Ventures, Picus Capital
Recent News
Landbase announced GTM-2 Omni, a next-generation agentic AI model for precision targeting, natural-language audience building, and omnichannel GTM automation. It adds natural-language targeting and AI qualification to GTM-1 Omni and uses 30,000+ custom signals and 600M+ enriched contacts.
Landbase announced the Landbase Agency Network, a partner program giving sales and marketing agencies access to its AI platform, GTM tools, and co-marketing opportunities. The program is intended to help agencies improve campaign performance and lead-generation services.
A Landbase article dated January 8, 2026 reports the company’s $30 million Series A, co-led by Sound Ventures and returning investor Picus Capital. The funding is intended to scale the GTM-1 Omni agentic AI platform and accelerate B2B go-to-market automation.
Landbase announced its acquisition of Adauris to accelerate its AI-native inbound marketing roadmap. Adauris’s signal-driven content and publishing capabilities were intended to complement Landbase’s outbound automation and help unify inbound and outbound GTM workflows.
Active Roles
1Business Model
Landbase uses a freemium and sales-led B2B SaaS model: a free preview supports AI planning and target-list building, while paid subscriptions provide broader campaign execution and platform capabilities. Reported paid pricing is approximately $3,000 per month, although public pricing is limited and customers are directed to contact sales.
Products
Customers
Tech Stack
Similar Companies
Competitors
Key Investors
Sound Ventures, Picus Capital, 8VC, Firstminute Capital, The General Partnership (The General Partnership)