AI-Powered Sales Training Startup FullyRamped Raises $2.3M Pre-Seed

In an era dominated by the rush towards automation of customer interactions, FullyRamped, a Silicon Valley startup, is taking a unique approach by focusing on upskilling sales representatives using AI role-play through its Practice Prospects feature. The startup recently raised $2.3 million in a pre-seed funding round led by BoxGroup, MaC Venture Capital, and NOMO Ventures, with additional investments from the scout funds of Greylock and Sequoia. This funding will support the expansion of their team, enhancement of the product, and acceleration of their go-to-market strategy.

AI-Powered Sales Training Platform

Practice Prospects and Real-Time Voice AI Technology

The core of FullyRamped’s innovative approach lies in its platform designed specifically for sales representatives and their managers. The platform uses AI-powered "Practice Prospects," which are custom personas enabling sales reps to refine their skills in a controlled yet realistic environment. This system ensures sales reps can practice their pitches and handle objections without jeopardizing real leads. The real-time voice AI technology used offers natural conversations with minimal latency, providing a safe and controlled training atmosphere. This setup allows for infinite practice opportunities, unbounded by manager or teammate availability, and makes the sales training process more efficient and effective.

The AI role-play feature can simulate a wide range of sales scenarios, from straightforward product pitches to challenging customer objections, thereby covering various aspects of the sales process. Practice Prospects can be programmed to reflect different customer personalities and industries, making the training highly adaptable and relevant to various market segments. Additionally, the platform provides instant feedback, helping sales reps identify areas for improvement and track their progress over time. This continuous feedback loop ensures that the training is personalized and evolves with the sales representatives’ growing proficiency.

Aaron Marks’ Vision and Expertise

Founded by Aaron Marks, a Stanford engineer with a specialization in Natural Language Processing, FullyRamped stemmed from a prototype that Marks originally developed to simulate cold call environments for sales practice. Marks’ background includes his tenure as employee #2 at Skiff (acquired by Notion in 2024) and a role as Growth Manager at Verkada. His experience heavily influenced FullyRamped’s design ethos and functional focus. Marks envisioned a training tool that would drastically cut down the ramp time for new hires while preserving the quality and effectiveness of traditional sales training methods.

Marks’ unique blend of technical expertise and practical sales experience enabled him to create a platform that combines the best of both worlds: AI technology and human-centric sales techniques. His journey from developing a simple prototype to securing significant venture capital funding reflects his commitment to transforming sales training. Marks’ deep understanding of Natural Language Processing also plays a crucial role in ensuring that the AI interactions on the platform are as lifelike and engaging as possible. This realism is essential for preparing sales reps to handle real-world customer interactions with confidence and competence.

Transforming Traditional Sales Training

Efficiency and Effectiveness in Training

The sales training industry traditionally relies on internal academies, which often entail high costs and extended training periods. FullyRamped’s AI integration aims to streamline this process, decreasing ramp times for new representatives, minimizing lead waste during training, and increasing key sales metrics like conversation-to-meeting-booked ratios. Importantly, the platform is crafted to complement, not replace, traditional role-play methods, thereby offering a holistic training solution that addresses common drawbacks associated with conventional sales training for junior cohorts.

By leveraging AI, FullyRamped allows companies to scale their training programs without the need for additional resources. This scalability is particularly beneficial for fast-growing companies that need to onboard large numbers of new sales reps quickly and efficiently. Furthermore, the reduction in training-related lead waste means that businesses can better utilize their marketing and sales efforts, ultimately leading to higher revenue and growth. The platform’s analytics features provide actionable insights into sales rep performance, enabling managers to tailor further training and support to individual needs.

Early Adoption and Market Potential

Despite launching only recently, FullyRamped has already secured a customer base, primarily within the technology sector. Early adopters have reported promising results, reflecting the platform’s potential to revolutionize sales training. Marks’ vision extends beyond tech sales, aiming to serve all external-facing roles, ensuring that everyone in people-centric jobs can practice in a risk-free environment. This broad applicability opens up new markets and opportunities for FullyRamped, from customer service representatives to account managers and beyond.

Investors such as David Tisch from BoxGroup and Adrian Fenty from MaC Venture Capital have expressed strong support for FullyRamped’s mission and innovative approach. Tisch highlighted the startup’s potential to redefine business practices, while Fenty noted the product’s ability to augment rather than replace human roles in sales. Their endorsements underscore the confidence that experienced venture capitalists have in FullyRamped’s business model and its potential to drive significant change in the industry. The backing from well-known investment firms also provides FullyRamped with the credibility and resources needed to expand its reach and impact.

A Future-Forward Approach

In a time when customer interactions are increasingly automated, FullyRamped, a Silicon Valley startup, is carving out a niche by focusing on enhancing the skill sets of sales representatives. Rather than replace human interactions with machines, FullyRamped utilizes AI role-play through its Practice Prospects feature. This innovative approach aims to better equip sales reps for real-world interactions, making them more effective and prepared.

Recently, FullyRamped successfully secured $2.3 million in a pre-seed funding round. The round was spearheaded by BoxGroup, MaC Venture Capital, and NOMO Ventures. Additional funding came from the scout funds of Greylock and Sequoia, two highly regarded investment firms. This infusion of capital will enable FullyRamped to grow their team, improve their product, and quicken the pace of their go-to-market strategy.

In an industry rapidly moving toward automated customer service, FullyRamped’s methodology stands out. By harnessing AI for training purposes rather than replacement, the company aims to foster a more skilled and agile salesforce, which could very well set new standards for sales training in the tech sector.

Explore more

A Beginner’s Guide to Data Engineering and DataOps for 2026

While the public often celebrates the triumphs of artificial intelligence and predictive modeling, these high-level insights depend entirely on a hidden, gargantuan plumbing system that keeps data flowing, clean, and accessible. In the current landscape, the realization has settled across the corporate world that a data scientist without a data engineer is like a master chef in a kitchen with

Ethereum Adopts ERC-7730 to Replace Risky Blind Signing

For years, the experience of interacting with decentralized applications on the Ethereum blockchain has been fraught with a precarious and dangerous uncertainty known as blind signing. Every time a user attempted to swap tokens or provide liquidity, their hardware or software wallet would present them with a wall of incomprehensible hexadecimal code, essentially asking them to authorize a financial transaction

Germany Funds KDE to Boost Linux as Windows Alternative

The decision by the German government to allocate a 1.3 million euro grant to the KDE community marks a definitive shift in how European nations view the long-standing dominance of proprietary operating systems like Windows and macOS. This financial injection, facilitated by the Sovereign Tech Fund, serves as a high-stakes investment in the concept of digital sovereignty, aiming to provide

Why Is This $20 Windows 11 Pro and Training Bundle a Steal?

Navigating the complexities of modern computing requires more than just high-end hardware; it demands an operating system that integrates seamlessly with artificial intelligence while providing robust security for sensitive personal and professional data. As of 2026, many users still find themselves tethered to aging software environments that struggle to keep pace with the rapid advancements in cloud computing and data

Notion Launches Developer Platform for AI Agent Management

The modern enterprise currently grapples with an overwhelming explosion of disconnected software tools that fragment critical information and stall meaningful productivity across entire departments. While the shift toward artificial intelligence promised to streamline these disparate workflows, the reality has often resulted in a chaotic landscape where specialized agents lack the necessary context to perform high-stakes tasks autonomously. Organizations frequently find