Hakob Asstabatsyan, co-founder and CEO of Synthflow, is leading the development of cutting-edge voice AI technology that helps businesses automate customer calls with human-like responsiveness. Headquartered in Berlin, Hakob co-founded Synthflow in 2023 with the goal of making advanced conversations accessible to companies of all sizes.
Under his leadership, Synthflow has rapidly expanded in Germany and the United States, enabling clients in real estate, healthcare, finance and other industries to deploy customized codeless voice agents in just a few weeks. These AI agents handle inbound and outbound calls, integrate with over 200 applications and CRM, and run with low cost accuracy. With rapid growth in revenue growth and a growing global team, Synthflow is becoming the leading voice automation platform, and Hakob is at the forefront of expansion.
What prompted you to start synthesizing, and how your background as a strategist and serial entrepreneur affects the company’s mission?
When we started synthesizing streams, voice AI was still in its infancy, limited to robotic IVR and hard-coded scripts. But after working in multiple startups and technology joint ventures, I can see a deeper opportunity. My background as a strategist taught me that when the transformation of infrastructure reshapes an industry, that’s exactly what large language models do for voice.
We know that if we can combine cutting-edge AI with real-time voice interactions, we can transform customer communication. The mission of democratizing voice AI is more than just a slogan. This is a response to the market gap. Our Polaris has been building easy to deploy, scalable and secure human automation.
Your task is to “democratize and obtain AI voice automation”. What does it actually look like for small and medium-sized enterprises?
Democratic voice AI means removing technical and financial barriers to historically limited access to the technology. Whether you are a fast-scale startup, a mid-sized operation or a corporate team looking to modernize customer engagement, our goal is to automate human-like voice in-house for a few days.
That’s why we built Synthflow as a codeless platform. Cross-sales, support and operations teams do not rely on engineering resources or lengthy integrations, and can design and launch voice agents through a simple browser-based interface. This is the transformation from AI becoming a backend R&D project to a front-line business tool.
Can you build and deploy what you need from scratch by using your tools?
It’s very intuitive. Our codeless, browser-based interface allows users to drag and drop elements to design a complete call flow conversation from greetings to follow-up actions. You can define tones, fallback behaviors and existing systems such as CRM or calendar (calendar) (such as CRMS).
We take care of everything behind the scenes – transcription, voice synthesis, LLM and call settings – so the team can focus on the experience, not the pipeline. This is how we get the fastest implementation badge for G2 among AI agents worldwide, as most of our customers will live to live in less than two weeks.
What breakthroughs allow you to reach a human-like latency
Achieving the 500ms latency is a major technical milestone. It requires a combination of edge computing, real-time streaming architecture and model-level optimization. We decouple the speech-to-text and text-to-speech layers from LLM inferences to ensure parallel processing as possible.
In terms of infrastructure, we have designed for reliability from day one, namely redundancy, failover routing and distributed cloud systems, even maintaining uptime in large quantities. Today, we process over 40 million calls per month, and our customers benefit from the scale of the battle.
How does Synthflow’s AI avoid hallucinations and stay in the brand-safe “guardrail” during conversations?
Unlike a universal chatbot that tries to handle everything, our voice agent is driven by a target. This focus greatly reduces the chances of hallucination. If the agent is designed to schedule a phone call, it won’t respond to irrelevant prompts like “Tell me joke” or “what is the weather.” It sticks to the tasks created for it to keep the conversation purposeful and on track.
Most importantly, our platform includes a built-in knowledge base that allows you to define exactly what an agent should know and more importantly, it shouldn’t. This makes it easy to keep the conversations brand safe, accurate and relevant while giving you full control over how AI processes information.
What makes users trust AI voice agents, and customer experience often has problems?
Trust boils down to speed, relevance, and tone. If AI responds quickly, understands the intention and sounds natural, people are more likely to participate. We build on subtle human cues like pauses and fillers to make the conversation real.
When AI tries to do too many things, things go wrong. This is why our agents focus on specific tasks and upgrade when needed. It’s not about doing everything, it’s about doing the right thing.
That is, we know that some people are still skeptical. It’s fair – every new technology is at this stage. As pioneers of voice AI, we see it as our work not only to build great technology but also help people feel confident.
How to ensure that synthetic voice agents can safely process sensitive data while complying with HIPAA, SOC2 and GDPR?
Security and compliance are at the heart of our architecture. We are certified under SOC 2 and GDPR and certified with HIPAA-compliant safeguards. This includes data encryption in standstill and transport, role-based access controls, audit logs, and consent frameworks baked into call flows.
What role does humans still play when Synthflow is deployed – where is the most critical part of human collaboration?
Human beings will always play a key role. Synthflow is not a replacement for people here, we are here to make their jobs better. Our AI voice agents take repetitive regular calls so that human teams can focus on what they do best: dealing with complex, emotional, and high-impact conversations.
We believe that the future of customer communication is like relay. AI runs the first stop of the conversation – capturing intent, collecting details, and handling routine operations. When things get more complicated, it passes the baton to humans with full background so that they can pick it up seamlessly. This human collaboration provides a better experience for both parties to the conversation.
You are in Berlin. How does the European tech ecosystem shape growth strategies for synthetic flows, especially around privacy and AI regulations?
In Europe, especially in Berlin, our focus on privacy, ethical AI and compliance development has become even more focused. European customers demand high standards and we regard them as competitive advantage. Our architecture is designed to enable our architecture to be ready and regulated, which can position us and our global AI regulations.
Berlin also offers a unique talent pool. It helps us grow thoughtfully while maintaining trust-based, which is crucial when your product speaks directly to customers on behalf of the brand.
Where do you see the future of AI voice agents – What are the main trends in corporate AI?
The future is faster than anyone expected. Within a few years, I believe more than half of all B2B voice interactions will be AI-powered, and we’ve seen a glimpse of AI-to-AI conversations that manage the entire workflow.
One understatement is the rise of codeless and low-code AI orchestration. Everyone is talking about these models, but the real unlocking is in situations where enterprises can deploy and iterate on AI solutions without writing code. We are excited to be part of this wave.
Thank you for your excellent interview, readers who hope to learn more should visit Synthflow.
