b2b-daily
Home | MarTech | Digital Marketing

GTM Buddy Raises $8M to Boost B2B Sales with AI Tech

Avatar photo
by Cailee Foster
April 17, 2024
Image Credit: Vecteezy
GTM Buddy Raises $8M to Boost B2B Sales with AI Tech

GTM Buddy recently garnered $8 million in a Series A funding round aimed at revolutionizing B2B sales with AI technology. Archeran Capital and Leo Capital spearheaded the investment, with Neon Fund and Stellaris Venture Partners also participating. The brain behind GTM Buddy is Sreedhar Peddineni, who brings a wealth of experience from Gainsight and Planful. This innovation comes as a game-changer in sales enablement, where legacy systems have struggled to enhance sales rep productivity effectively. GTM Buddy leverages AI to seal “leaky” sales funnels, promising to significantly boost conversion rates through smarter sales assistance and management capabilities. This fresh injection of capital underscores the industry’s recognition of GTM Buddy’s potential to elevate sales performance using state-of-the-art AI technology.

Revolutionizing Sales Enablement

Gartner analysts predict a pivotal turn in B2B sales tactics, anticipating AI’s prevalent role by 2025. GTM Buddy stands out with AI-driven tools including context-sensitive sales strategies, tailored engagement materials, and scoring for actionable coaching insights. These features not only streamline the sales process but also resonate well with users, positioning sales professionals for success amidst the evolving sales landscape.

Archeran Capital’s praise underscores GTM Buddy’s innovative approach in overcoming long-standing B2B sales challenges with AI-centered solutions. This recent cash injection is intended to broaden GTM Buddy’s market presence, notably by the second quarter of 2024. GTM Buddy is on a trajectory to transform the sales domain with cutting-edge AI, targeting a top spot in the realm of AI-fueled sales enablement tools.

Artificial IntelligenceBusiness Strategy

Explore more

Ethereum Plans Major Glamsterdam Upgrade for Late 2026
June 18, 2026

Ethereum developers are currently finalizing the specifications for the Glamsterdam hard fork, which represents the next major milestone in the network’s ongoing evolution toward a more scalable and efficient global computer. This upcoming transition is not merely a routine update but a comprehensive overhaul of several critical components that have defined the network since its inception. By addressing long-standing technical

How Does Databricks CustomerLake Redefine the Agentic CDP?
June 18, 2026

The landscape of customer data management is currently undergoing a seismic transformation as the traditional boundaries between storage, analysis, and execution are being dismantled by the rise of the Data Intelligence Platform. For years, enterprises have struggled with the fragmentation tax, which represents the hidden cost of moving, cleaning, and syncing customer information across dozens of disconnected marketing clouds and

KDE Releases Plasma 6.7 with Per-Screen Virtual Desktops
June 18, 2026

The sheer complexity of contemporary digital workspaces often leads to a phenomenon where users feel overwhelmed by the literal lack of physical and virtual boundaries across their hardware. For years, the traditional approach to virtual desktops treated all connected displays as a singular, unified canvas, meaning that switching a workspace on one screen would force a transition on all others

Is the Fixed-Price AI Subscription Model Sustainable?
June 18, 2026

The rapid expansion of generative artificial intelligence has fundamentally transformed the digital landscape, yet the industry remains tethered to a subscription-based pricing model that may soon prove mathematically impossible to sustain. While the initial wave of adoption was fueled by the accessibility of flat-rate subscriptions, the underlying economics of massive compute clusters suggest a growing disconnect between user fees and

Will Agentic Automation Drive EMEA’s Autonomous Enterprise?
June 18, 2026

The transition from experimental artificial intelligence to deep-seated industrial application has reached a critical inflection point where simple task execution no longer suffices for the modern enterprise. As organizations across the Europe, Middle East, and Africa region navigate the complexities of a digital-first economy, the focus is pivoting toward Agentic Process Automation to bridge the gap between human intuition and