We helped an AI startup test 3 sales theses before their Series A, build a go-to-market strategy in the voice-tech industry, and acquire their first enterprise-level sales leads.
.avif)
Our client is a SaaS startup in the sound engineering industry, developing artificial intelligence for real - time audio quality improvement. Their solution uses advanced AI algorithms to transform audio from any device to studio - level quality, regardless of background noise or the recording equipment used.
The team consist of experienced AI engineers and audio specialist who had previously built similar solutions for Fortune 500 companies The company is currently preparing for a Series A
The startup is at the founder-led sales stage and faces three key challenges:
Additionally, their existing outreach focused mainly on time savings and cost reduction for organizations. This did not resonate with B2B decision-makers seeking competitive advantages.
During intensive strategic workshops, we analyzed their existing go-to-market approach. Using the Impact/Effort Matrix framework and the Jobs to be Done methodology, we identified and tested three key sales theses:
Target: SaaS companies such as webinar platforms, video conferencing tools, or business messengers, where audio quality directly impacts UX and end-customer retention.
Value Proposition: "We give you a competitive edge in a crowded market" - higher audio quality without the need to invest in expensive studios.
Target: Journalists, podcasters, media companies, influencers, and content creators who often record in varied and unpredictable acoustic environments.
Value Proposition: We used a case study from a major media house, where with one click they cleaned up an interview recorded in a noisy environment, saving hours of post-production work and securing live interviews in noisy settings.
Target: Large technology companies (similar to Samsung, Harman, or audio hardware manufacturers) that can integrate the SDK directly into their products without performance issues.
Value Proposition: Turn your hardware into a premium product by adding AI-powered sound validation features.
Example 1 - "AI Studio Quality" as a competitive edge
Instead of talking about cost reduction, we focused on product differentiation. For webinar platforms, we proposed messaging around a premium feature: AI-powered audio transformation.
Example 2 - Changing the context in client communication
We shifted messaging from strictly technical to addressing client pain points and challenges, solving issues like the frequent "Hello, can you hear me?" problem.
Example 3 - Using ICP data from the platform
We identified users with corporate email addresses, for example people in R&D departments in audio companies.
Instead of classic prospecting, we based our outreach on a trigger: the tool being tested privately, and converting these solutions into premium features in the client’s own product.
The client received not only tactical sales campaigns but also a complete expansion strategy, including a segmentation matrix, implementation schedule, and measurable KPIs for each target segment.
This allowed the founders to focus on what they do best: developing their AI technology, while we built a predictable sales pipeline ahead of the crucial Series A funding round.
The framework we created not only streamlined the sales process but also improved investor presentations, showcasing a clear vision for a scalable go-to-market strategy in the rapidly growing audio technology segment.