3 years

Replicant was founded on the belief that machines are ready to have useful, complex conversations that will transform the way we interact with the world, starting with customer service. As a leader in Contact Center Automation, Replicant helps companies automate their most common customer service calls while empowering agents to focus on more complex and nuanced customer challenges. Replicant’s AI platform allows consumers to engage in natural conversations across voice, messaging and other digital channels to resolve their customer support issues, without the wait, 24/7. Replicant is serving some of the largest contact centers in the Fortune 100 and growing rapidly. A bit more about Replicant: • Named Forbes’ top 50 AI firms to watch in 2021• Voted top 50 most promising startups by The Information• Raised $78M in Series B financing led by Stripes• Doubling the size of our team this year• We are serving some of the largest contact centers in the Fortune 100 and are just getting started…. Interested? Check out our open roles at




Employee counts updated on a monthly basis.

Jack AbrahamManaging Partner1
Gadi ShamiaCEO1
Benjamin GleitzmanCTO

Scott BeechukBoard Member


RoundDateCapital RaisedInvestors
ReplicantSeries A2020$27M5

ㅤInvestor NameInvestor TypeAUM ($)
AtomicVenture Capital$730M
Bloomberg BetaCorporate Venture Capital$150M
Costanoa Ventures
Norwest Venture PartnersVenture Capital$12.5B
State Farm VenturesCorporate Venture Capital


Custom AI Models: Replicant’s proprietary transcription and intent classification engine are trained specifically on lossy 8khz customer support phone call data, yielding 94%+ classification accuracy – the highest in the industry. Customers can also train custom transcription models for specific use-cases with just a few hours of data, ensuring any industry expression or out of vocabulary words are accurately captured so that every conversation is tailored to your needs. Multi-intents: A key part of Replicant’s conversation design capabilities is being able to resolve multiple intents in a single turn of a conversation. With Replicant, your callers aren’t limited to asking simple questions; instead, the next time a caller wants to change their billing address and inquire about a refund, they can – in a natural, conversational way. Replicant uses active learning to intelligently and automatically create a data pipeline for retraining. Only the appropriate samples are escalated to human reviewers, increasing labeling efficiency. All model retrains are evaluated for regressions and provide full visibility into the performance of every new model and intent within it, ensuring that your conversation models are getting smarter every day.

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