Earmark
How a product management AI startup launched successfully with real-time meeting transcription at scale.
reduction in streaming costs
concurrent streams without any degradation in performance
day implementation with minimal developer resources
Where unlimited scale meets startup economics
For Earmark, a real-time multi-agent AI platform built exclusively for product managers, reliable speech-to-text wasn't just a feature—it was the foundation of its entire product. Its platform promises to transform live meeting conversations into finished deliverables, executing traditional PM work like briefs and documentation concurrently during conversations, eliminating after-hours work for product managers who face high-context shifts every 30 minutes.
For instance, when a PM finishes a stakeholder meeting, Earmark has already drafted the PRD, updated the roadmap documentation, and prepared follow-up action items. All of this happens in real-time during the conversation.
As CEO Mark Barbir and CTO Sanden Gocka prepared for their public launch, they needed a speech-to-text solution that could scale without limits while maintaining sustainable economics and protecting their customers' sensitive product discussions.
"We needed a provider that could grow with us," explains Mark. "Our platform's success depended on having unlimited concurrent streams, reasonable pricing, and responsive support—all while protecting our customers' privacy."
A partnership built on support and scale
When Earmark implemented AssemblyAI, they discovered a solution that exceeded their expectations.
"The support quality was exceptional from day one," notes the team. "We had multiple AssemblyAI team members providing assistance. Even as a free trial user, I got responses within five minutes—at 1 am, on weekends, it didn't matter."
AssemblyAI's differentiators aligned perfectly with Earmark's needs:
- Unlimited concurrent streaming removing artificial thresholds that would limit growth
- Privacy by default with no training on customer data and no storage of audio or transcripts at no extra cost
- 83% lower streaming costs at $0.15 per hour, saving thousands of dollars monthly as they scale
- Superior real-time performance with near word-by-word transcription
- Exceptional customer support that treats early-stage startups as valued partners
The implementation proved remarkably smooth. "It took us just four days to implement AssemblyAI," says Sanden. "The API was intuitive to integrate, and the documentation was comprehensive."
Enabling product managers to focus on what matters
The impact on Earmark's business has been transformative, allowing them to deliver on their promise to product managers who juggle diverse stakeholder interactions every 30 minutes:
Financial Impact
- 83% reduction in streaming costs
- Significant savings by avoiding tiered pricing structures
- Achieved sustainable unit economics enabling profitability
Operational Excellence
- Zero concurrency limits enabling worry-free scaling
- Ability to handle 100+ concurrent streams without any degradation in performance or additional costs
- 4-day implementation with minimal developer resources
- Near-instant transcription with word-by-word delivery
- Seamless migration completed in under a week
Customer Experience
- Product managers experience noticeably faster, more responsive transcription
- No service interruptions from usage caps
- Enhanced privacy with no data training or storage—critical for enterprises discussing confidential product strategies
- Reliable performance for high-stakes stakeholder meetings
- Peace of mind for security teams knowing their competitive intelligence and product roadmaps remain completely private
"The cost saving is literally the difference between being profitable or not for us," emphasizes Mark. "But beyond the economics, AssemblyAI gave us something invaluable: peace of mind. We can focus on building our product instead of worrying about infrastructure limits."
A shared vision: Empowering product managers
The partnership between Earmark and AssemblyAI extends beyond technical integration. Both companies recognize product managers as a key audience: professionals who need reliable, real-time tools to manage their demanding workflows while maintaining the confidentiality of their strategic planning.
"Product managers deal with high-context shifts and diverse stakeholder interactions every 30 minutes," explains the Earmark team. "Our platform, powered by AssemblyAI's unlimited streaming, ensures they can capture every conversation and transform it into actionable deliverables without the traditional after-hours documentation burden."
This alignment creates natural marketing synergies, with both companies able to showcase how modern AI technology transforms product management workflows while maintaining enterprise-grade privacy standards.
Building on a strong foundation
With its core transcription infrastructure now solid and AssemblyAI's real-time streaming product providing unlimited scalability, Earmark is exploring additional capabilities:
- Expanded language support for international users
- Real-time PII redaction for healthcare and regulated industries
"AssemblyAI's API is core to our real-time transcription offering and will remain central as we scale," says Sanden. "They've removed every barrier that was holding us back: technical, financial, and operational. For early-stage founders and startups, the unlimited streaming feature is particularly crucial. It's the difference between constantly worrying about infrastructure and actually building your product."
As Earmark continues to grow, they're product team is not just building a product—they're pioneering a new way of working for product managers worldwide. With AssemblyAI as their foundation, they're ready to scale from hundreds to millions of transcribed meetings, all while maintaining the quality and reliability their users depend on and the privacy their enterprise customers require.
The Proof is in the Process: This customer story was crafted with insights captured by Earmark's AI platform during our conversation. As we discussed their experience, AssemblyAI transcribed every word in real-time while Earmark's AI agents structured and formatted the conversation into comprehensive notes—making it easy to transform their success story into this narrative. Sometimes the best testimonial is experiencing the technology firsthand.
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A partnership built on support and scale
Zoom
AssemblyAI's industry-leading Speech AI models were selected to help advance Zoom’s research and development efforts around speech-to-text by using these models to refine data used to train Zoom’s AI Companion, strengthening Zoom’s ability to deliver high-performance AI features.
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