AI chatbot company Lyser demonstrated its product's value by using it to run its entire fundraising process. The tool found investors, created the pitch deck, and answered due diligence questions via a chatbot on their website, effectively automating their own fundraise.

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In a crowded space like voice AI, pitches sound generic. The founder of April found that investors who converted were those who used the product before the first meeting. The direct experience of a working product bypassed skepticism and made fundraising calls short and successful.

Instead of personally answering questions from over 20 stakeholders, OneMind's CEO directed them to their AI agent, "Mindy." This allowed for asynchronous, instant information retrieval, dramatically accelerating the complex enterprise sales cycle.

While SaaS tools like Intercom offer immediate convenience, building a custom AI chatbot provides complete control over the workflow, data, and user experience. For companies with some technical capability, this initial investment leads to significant long-term cost savings and a deeply integrated, proprietary solution.

Founders can use AI pitch deck analyzers as a "sparring partner" to receive objective feedback and iteratively improve their narrative. This allows them to identify weaknesses and strengthen their pitch without burning valuable relationships with real VCs on a premature version.

Beyond booking meetings for high-value deals, AI agents can be empowered to handle the full sales cycle for lower-priced products. They can answer questions, provide discount codes, and conduct follow-up, creating a significant, automated revenue stream with no human sales involvement.

To maintain product focus and avoid the 'raising money game,' the founders of Cues established a separate trading company. They used the profits from this successful venture to self-fund their AI startup, enabling them to build patiently without being beholden to VC timelines or expectations.

The AI fundraising environment is fueled by investors' personal use of the products. Unlike B2B SaaS where VCs rely on customer interviews, they directly experience the value of tools like Perplexity. This firsthand intuition creates strong conviction, contributing to a highly competitive investment landscape.

Instead of creating traditional pitch decks he wasn't skilled at, Perplexity's CEO successfully raised funds from prominent investors like Yann LeCun by simply sending a link to the product. This highlights that a compelling, working product can be the most effective fundraising tool.

The CEO of Numeral notes that in the current fundraising climate, startups must heavily feature AI in their pitch to secure investor meetings. Furthermore, landing a major AI lab as a customer has become a key signal for VCs, leading to valuation multiples as high as 100-200x revenue for some companies.

A custom AI system named Marilyn, built by the CMO and one engineer, has become the central nervous system for Wiz's GTM team. It answers complex questions on competition, product docs, and strategy, even translating content for global teams. This demonstrates the immense ROI of building custom internal AI tools.

AI Startup Lyser Used Its Own Chatbot to Automate Its Fundraising Process | RiffOn