What’s using synthetic intelligence? Synthflow, a Berlin-based startup that believes it may automate repetitive duties for very busy folks working small companies, introduced it has raised $7.4 million in seed funding for its no-code platform for AI voice help targeted on SMBs. .
The startup has raised a complete of $9.1 million (together with seed funding) since its founding round final spring, underscoring continued investor enthusiasm for accelerating generative AI purposes.
The startup additionally claims to be near 1,000 prospects, with “double-digit” month-to-month progress since stepping out of stealth to develop and launch its browser-based “no-code” software in December 2023. urge for food to undertake—or at the least strive—generative AI instruments that promise straightforward productiveness beneficial properties.
Synthflow CEO and co-founder Hakob Astabatsyan mentioned the brand new funding will probably be used for analysis and improvement, saying the workforce is eager to proceed to construct on its early momentum by bettering the product’s usefulness and broadening the vary of SMEs it attracts.
“Now we have a number of concepts. We all know precisely what our prospects want. We’ll work very arduous to search out elegant options,” he advised TechCrunch.
Astabatsyan is a serial entrepreneur with a enterprise background and was a member of Rocket Web. Becoming a member of him in his newest enterprise is his brother Albert, who additionally beforehand labored with him on a no-code startup. Sassun Mirzakhan-Saky brings a software program engineering background and CTO experience to the workforce.
Whereas Synthflow’s product launched with English name processing as a result of its largest market was English, it has since added German and French variations (word: these variations are nonetheless in beta). Due to this fact, elevated give attention to the European aftermarket can be attainable.
Finish-to-end expertise
Name facilities are early adopters of AI voice brokers, leveraging giant language mannequin (LLM) APIs to energy techniques that reply calls in a human-like method — if not at all times with good understanding, 24/7. power and enthusiasm.
Synthflow’s idea is barely completely different, aimed squarely at service-focused SMEs, together with these providing DIY “no-code” merchandise. Astabatsyan mentioned the objective is to supply an “end-to-end” expertise for small and medium-sized companies, and he believes the return on funding from having the ability to automate core duties akin to appointment scheduling will probably be apparent for the resource-hungry companies it targets.
“Synthetic intelligence can do that in a extra reasonably priced and dependable means, whereas people can do different issues,” is his succinct introduction to voice help.
He offers the instance of a one-man band handyman or mechanic who will usually reply calls themselves when not working – which means they inevitably find yourself lacking a number of calls (and, as an individual, dropping some enterprise) because of this ); or the receptionist employed by the dentist has restricted hours, so, once more, they aren’t at all times close by to reply the telephone.
Astabatzyan believes having a software that may deal with primary buyer inquiries might be a game-changer for small companies.
Synthflow is concentrating on SMBs, which essentially means the startup’s core focus is making AI know-how accessible to non-technical customers, which is why it constructed a code-free interface for purchasers to design to suit their enterprise wants voice agent.
“We wished to attempt to construct one thing easy,” he explains. “There is no such thing as a code layer on the prime [of AI agents] That means… enterprise homeowners, business-oriented folks may give it a strive, get acquainted with it and discover what an LL.M. can do for his or her enterprise.
Synthflow’s interface lets prospects drag and drop components to configure voice AI that may carry out particular duties for them, akin to scheduling appointments; shopping FAQs; or performing “data extraction,” akin to acquiring private data from potential prospects in order that people can They name again.

“Suppose somebody has to make a telephone name and must ask a particular set of questions and accumulate particular data—particularly static data like tackle, house, and so forth.—AI is excellent,” he believes.
Prospects can select to configure the AI assistant to seem like a robotic. “I feel it is excellent to reveal that it is a digital assistant,” Astabatsyan mentioned. “My private favourite opening line is: ‘Good day. My identify is [so-and-so], proper now, all our strains are busy. I apologize for that. I am a digital assistant right here. [the name of the business]. how can I make it easier to? ‘.
Astabatzyan mentioned one other vital use of voice AI is to establish when a name must be transferred to a human agent. So, in essence, utilizing AI to filter inbound calls primarily based on complexity – automating easy requests after which rising effectivity by liberating human brokers to spend extra time dealing with extra advanced buyer inquiries.
He emphasised that the objective is to not exchange human (or human-oriented) jobs, however recommended that AI can assist SMEs develop into extra productive and environment friendly relatively than utilizing restricted assets.
That is why, along with letting prospects deploy voice brokers, Synthflow’s system is designed to deal with post-call knowledge entry duties, akin to including appointments to a calendar software. Due to this fact, constructing integrations with third-party software program is one other focus for the workforce.
“That is what synthetic intelligence is nice at,” he argued. “As a result of it may get this data [extracted from a call] As an instance, updating a particular discipline in a particular CRM – in case you do these at scale, a whole bunch or 1000’s of calls, out of the blue we see the technical advantages that we see [when businesses first adopted] laptop.
For the voice agent, the startup is constructing on OpenAI’s GPT LLM, but in addition incorporating its personal synthetic intelligence mannequin – which Astabatsyan mentioned has been educated by itself knowledge and focused at particular buyer use instances. fine-tuned.
He mentioned the corporate has additionally constructed its personal “speech orchestration layer” to transform prospects’ speech into textual content, which is then fed into a synthetic intelligence mannequin as a immediate, returning an automatic reply that the system converts from textual content to what the shopper hears. voice.
Presently, Synthflow is concentrated on utilizing synthetic intelligence with inbound calling — a low-hanging fruit for automation that Astabatsyan believes is a low-hanging fruit for resource-hungry enterprises. However he hinted that analysis and improvement capabilities will probably be extra subtle, pushed by giant seed rounds.
He talked about that they’re engaged on a characteristic that can enable Synthflow’s voice AI to carry out what he calls “immediate actions” or “connections” – which means that throughout the name, the AI will be capable of carry out dwell inspections within the warehouse of stock. Or, as he places it, extract data from one other request and “push it some other place.”
He additionally painted a state of affairs through which task-focused AI voice techniques will be capable of collectively broaden their utility. They will hand off calls to different devoted voice AIs educated to finish completely different duties requested by prospects.
“The important thing right here is to give attention to who your prospects are. As a result of, relying on who you are constructing this product for, your product goes to be very, very, very completely different,” he added.
One implication to think about is whether or not voice AI and voice-assisted techniques dwell as much as the productiveness hype – deftly delivering on the promise of effectively dealing with buyer inquiries in any respect ranges, together with expertly redirecting extra advanced issues to the suitable system or particular person to deal with – which may finally imply that the typical SME finds their workload far past their capability.
“I feel that is an attention-grabbing query for lots of managers and leaders to consider, proper?” he responded, discussing the state of affairs. “Like, if there’s a lot capability — and productiveness is unleashed — how can we direct these human assets to different sectors of the economic system? As a result of I feel that query doesn’t have a solution but, but it surely’s a very attention-grabbing query.
Synthflow’s seed funding was led by Singular, with participation from present investor Atlantic Labs and various traders within the synthetic intelligence area, together with the founders of Krisp AI.