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

What Businesses Need to Know About Customer Identity Verification
October 9, 2026

Modern verification toolkits have expanded beyond simple photo ID inspections to include facial biometrics, liveness detection, and automated identity APIs. This shift occurs at a time when digital interactions represent the primary touchpoint between companies and their clientele. In an era where many customers never physically enter a store or meet a representative, the pressure to establish trust is immense.

Is AI the End of Current Blockchain Cryptography?
October 9, 2026

Current Ethereum and Bitcoin addresses that have broadcast a transaction are more vulnerable because their public keys are already visible on the ledger. This revelation has sent ripples through the cryptographic community, challenging the long-held assumption that decentralized networks would have decades to prepare for the advent of quantum-scale attacks. Instead of waiting for a physically realized quantum computer, researchers

How Is Google Cloud Redefining Legacy IT With AI?
October 9, 2026

The ability to generate business cases for cloud migration in minutes is replacing the manual spreadsheet modeling that previously slowed down IT departments. This shift marks a fundamental change in how large-scale infrastructure overhauls are perceived by the executive suite, moving away from purely technical discussions to strategic business narratives. In the current landscape of 2026, the rapid adoption of

Top Data Classification Tools and Strategies for 2026
October 9, 2026

Relying solely on automated machine learning without providing clear policy guidance often results in over-classification, making the entire security system difficult for employees to use. In the current digital landscape of 2026, data classification has transcended its origins as a back-office administrative chore to become a critical pillar of modern cybersecurity and global regulatory compliance. As enterprises manage vast petabytes

Google Updates View-Through Conversion Logic for Demand Gen
October 9, 2026

The quest for absolute clarity in digital attribution has long been the holy grail for modern marketers seeking to justify their visual media spend across expansive digital ecosystems. The change to a one-pixel threshold moves view-through metrics further away from proving active engagement and closer to measuring mere exposure. This technical adjustment, arriving as part of a broader overhaul of