Replicant
Voice AI that resolves Tier-1 contact center calls like a human agent.
About
Replicant is a San Francisco voice-AI platform that automates routine, high-volume customer calls — order tracking, appointment scheduling, claims intake — with natural-sounding dialogue trained on over 500 million minutes of real conversations. The company claims up to 80% autonomous resolution and 50% cost reduction, supports 35+ languages, and has raised $78M from Atomic and Shasta Ventures. Implementation is white-glove (first use case live in about six weeks), and pricing is custom enterprise — there is no self-serve tier.
What it can do
- Autonomous voice call resolution
- SMS and chat support
- Automated QA on 100% of calls
- AI-powered conversation analytics
- 35+ languages
Setup
- Work with Replicant's conversation designers to map call flows.
- Integrate CRM and telephony.
- Test and tune with the Replicant team.
- Go live (typically around six weeks) and expand use cases.
Prerequisites
Enterprise contract; high-volume Tier-1 call flows.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: $78M raised (Atomic, Shasta Ventures); 500M+ minutes of call training data; Provider-claimed 80% autonomous resolution, 50% cost reduction; No self-serve tier; white-glove implementation only. License: Proprietary SaaS; custom enterprise pricing..
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 7.0/10
- Maintenance · recency, releases, issue load
- 7.0/10
- Openness · license + docs
- 4.0/10
- Manual review · sanity read + red-flag check
- 7.0/10
- · $78M raised (Atomic, Shasta Ventures); 500M+ minutes of call training data
- · Provider-claimed 80% autonomous resolution, 50% cost reduction
- · No self-serve tier; white-glove implementation only
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.