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.

Explore more

How B2B Teams Use Video to Win Deals on Day One

The conventional wisdom that separates B2B video into either high-level brand awareness campaigns or granular product demonstrations is not just outdated, it is actively undermining sales pipelines. This limited perspective often forces marketing teams to choose between creating content that gets views but generates no qualified leads, or producing dry demos that capture interest but fail to build a memorable

Data Engineering Is the Unseen Force Powering AI

While generative AI applications capture the public imagination with their seemingly magical abilities, the silent, intricate work of data engineering remains the true catalyst behind this technological revolution, forming the invisible architecture upon which all intelligent systems are built. As organizations race to deploy AI at scale, the spotlight is shifting from the glamour of model creation to the foundational

Is Responsible AI an Engineering Challenge?

A multinational bank launches a new automated loan approval system, backed by a corporate AI ethics charter celebrated for its commitment to fairness and transparency, only to find itself months later facing regulatory scrutiny for discriminatory outcomes. The bank’s leadership is perplexed; the principles were sound, the intentions noble, and the governance committee active. This scenario, playing out in boardrooms

Trend Analysis: Declarative Data Pipelines

The relentless expansion of data has pushed traditional data engineering practices to a breaking point, forcing a fundamental reevaluation of how data workflows are designed, built, and maintained. The data engineering landscape is undergoing a seismic shift, moving away from the complex, manual coding of data workflows toward intelligent, outcome-oriented automation. This article analyzes the rise of declarative data pipelines,

Trend Analysis: Agentic E-Commerce

The familiar act of adding items to a digital shopping cart is quietly being rendered obsolete by a sophisticated new class of autonomous AI that promises to redefine the very nature of online transactions. From passive browsing to proactive purchasing, a new paradigm is emerging. This analysis explores Agentic E-Commerce, where AI agents act on our behalf, promising a future