Hakob Astabatsyan, Co‑Founder and CEO of Synthflow, is main the advance of state of the art voice AI generation that is helping companies automate buyer calls with human-like responsiveness. Primarily based in Berlin, Hakob co-founded Synthflow in 2023 with the target of constructing complicated conversational AI obtainable to firms of all sizes.
Underneath his management, Synthflow has hastily scaled throughout Germany and the U.S., enabling shoppers in genuine property, healthcare, finance, and different industries to deploy customized no-code voice brokers in simply weeks. Those AI brokers take care of inbound and outbound calls, combine with 200+ apps and CRMs, and function at low price with remarkable accuracy. With fast income expansion and a rising world group, Synthflow is changing into a number one voice automation platform—and Hakob is at the leading edge of its enlargement.
What impressed you to begin Synthflow, and the way did your background as a strategist and serial entrepreneur affect the corporate’s venture?
Once we began Synthflow, voice AI was once nonetheless in its infancy, restricted to robot IVRs and hard-coded scripts. However having labored throughout more than one startups and tech ventures, I may just see a deeper alternative. My background as a strategist taught me to identify moments when a shift in infrastructure reshapes an business, and that’s precisely what huge language fashions did for voice.
We knew that if lets mix state of the art AI with real-time voice interplay lets become buyer communique. That venture to democratize voice AI wasn’t only a tagline; it was once a reaction to a marketplace hole. Our north megastar has at all times been to construct human-like automation this is simple to deploy, scalable, and protected.
Your venture is to “democratize get admission to to AI voice automation.” What does that seem like in sensible phrases for small and mid-sized companies?
Democratizing voice AI method putting off the technical and monetary limitations that experience traditionally restricted get admission to to this generation. Whether or not you are a fast-scaling startup, a mid-sized operation, or an endeavor group taking a look to modernize buyer engagement, our target is to make human-like voice automation deployable in days.
This is the reason we constructed Synthflow as a no-code platform. As a substitute of depending on engineering assets or long integrations, groups throughout gross sales, toughen, and operations can design and release voice brokers thru a easy browser-based interface. It’s a shift from AI being a back-office R&D challenge to a frontline industry instrument.
Are you able to stroll us thru what it takes to construct and deploy a voice agent from scratch the use of your equipment?
It’s remarkably intuitive. Our no-code, browser-based interface shall we customers drag and drop parts to design a whole name glide dialog from greetings to follow-ups. You’ll outline tone, fallback behaviors, and integrations together with your current methods like CRMs or calendars.
We deal with the entirety in the back of the scenes—transcription, speech synthesis, LLMs, and get in touch with setup—so groups can center of attention at the enjoy, now not the plumbing. That’s how we earned G2’s Quickest Implementation badge for AI Brokers globally, as a result of maximum of our consumers cross from 0 to are living in underneath two weeks.
What breakthroughs allowed you to succeed in human-like latency of <500ms and near-perfect uptime?
Attaining sub-500ms latency was once a significant technical milestone. It required a mixture of edge computing, real-time streaming structure, and model-level optimization. We decoupled our speech-to-text and text-to-speech layers from the LLM inferences to make sure parallel processing anywhere conceivable.
At the infrastructure facet, we designed for reliability from day one—leveraging redundancy, failover routing, and allotted cloud methods to deal with uptime even at excessive volumes. Nowadays, we procedure over 40 million calls per thirty days, and our consumers have the benefit of that battle-tested scale.
How does Synthflow’s AI keep away from hallucinations and keep inside of brand-safe “guardrails” right through conversations?
Not like general-purpose chatbots that attempt to take care of the rest and the entirety, our voice brokers are constructed to be goal-driven. That center of attention dramatically reduces the possibilities of hallucination. If an agent is designed to time table calls, it merely received’t reply to unrelated activates like “inform me a comic story” or “what’s the elements.” It sticks to the duty it was once created for, holding the dialog useful and on course.
On most sensible of that, our platform features a integrated wisdom base that permits you to outline precisely what the agent will have to know—and extra importantly, what it should not. This makes it simple to stay conversations brand-safe, correct, and related, whilst supplying you with complete regulate over how the AI handles data.
What makes customers agree with an AI voice agent, and the place do issues usually cross fallacious in buyer enjoy?
Agree with comes down to hurry, relevance, and tone. If an AI responds temporarily, understands intent, and sounds herbal, persons are much more likely to have interaction. We’ve inbuilt refined human cues like pauses and filler phrases to make conversations really feel genuine.
Issues cross fallacious when AI tries to do an excessive amount of. That’s why our brokers center of attention on particular duties and escalate when wanted. It’s now not about doing the entirety—it’s about doing the precise issues neatly.
That stated, we all know some persons are nonetheless skeptical. And that’s truthful—each and every new generation is going thru that segment. As a pioneer in voice AI, we see it as our task now not simply to construct nice tech, however to assist other folks really feel assured the use of it.
How do you be sure that Synthflow voice brokers take care of delicate records securely whilst complying with HIPAA, SOC2, and GDPR?
Safety and compliance are core to our structure. We’re qualified underneath SOC 2 and GDPR and function with HIPAA-compliant safeguards for healthcare shoppers. This comprises records encryption at leisure and in transit, role-based get admission to controls, audit logs, and consent frameworks baked into name flows.
What function do people nonetheless play when Synthflow is deployed — and the place is human-AI collaboration most important?
People will at all times play a vital function. Synthflow isn’t right here to exchange other folks, we’re right here to cause them to higher at their jobs. Our AI voice brokers take at the repetitive, regimen calls so human groups can center of attention on what they do perfect: dealing with complicated, emotional, and high-impact conversations.
We predict that the way forward for buyer communique is sort of a relay. The AI runs the primary leg of the dialog—taking pictures intent, gathering main points, dealing with regimen movements. When issues get extra complicated, it passes the baton to a human with complete context so they may be able to select up seamlessly. That more or less human-AI collaboration creates higher stories for all sides of the dialog.
You’re founded in Berlin. How does the Eu tech ecosystem form Synthflow’s expansion technique, particularly round privateness and AI legislation?
Being in Europe, particularly in Berlin, has sharpened our center of attention on privateness, moral AI, and compliance-first construction. Eu consumers call for excessive requirements, and we’ve embraced that as a aggressive merit. Our structure is designed to be data-sovereign and regulation-ready, which positions us neatly as world AI rules tighten.
Berlin additionally gives a novel ability pool. It’s helped us develop thoughtfully whilst staying grounded in agree with, which is very important when your product talks immediately to consumers on behalf of a model.
The place do you notice the way forward for AI voice brokers heading — and what’s one primary pattern in endeavor AI that’s these days underhyped?
The longer term is accelerating quicker than any person predicted. Inside of a couple of years, I imagine over part of all B2B voice interactions can be AI-driven, and we’re already seeing glimpses of AI-to-AI conversations managing whole workflows.
One underhyped pattern is the upward push of no-code and low-code AI orchestration. Everybody talks concerning the fashions, however the actual unencumber comes when companies can deploy and iterate on AI answers with out writing code. And we’re excited to be a part of this wave.
Thanks for the good interview, readers who need to be informed extra will have to discuss with Synthflow.
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