years of experience building enterprise-grade AI.
of deployments across every major industry.
conversations and 1B+ agent minutes automated.
How it works
How an agent gets made
Nobody writes a script. The platform starts with what your people already do well.
Learn
Listen to your real conversations and find where automation would help most.
Replicate
Give the agent your knowledge, your workflows, your judgement calls and your limits.
Test
Rehearse against simulated customers until quality and compliance hold up.
Deploy
Go live gradually, A/B tested, with a warm hand-off whenever a person should take over.
Testimonials
Trust, engineered across five layers
Handing customer conversations to AI only works if the system is accurate, reliable, secure and open to inspection. Ours is engineered for all five.
An agent that stays on script.
In practice
Customers can tell the difference between an agent that follows the process and one that improvises. Every answer has to match the policy your team would apply — on the first call and the ten-thousandth.
Replicant's approach
Our architecture combines LLMs with deterministic guardrails to power empathetic AI agents that stay on-script, don't hallucinate, and follow business processes 100% of the time.
Deterministic, code-based guardrails
Model orchestration
Supervisory agents
A line that never goes quiet.
In practice
Call volume arrives when it arrives. A model provider having a bad afternoon cannot become your customers' bad afternoon, and no call can be the one that drops.
Replicant's approach
Our platform has built-in redundancy at every part of the stack, with zero single-point-of-failure and greater than 99.95% uptime.
AI model redundancy
In-house telephony
Multi-region, multi-vendor infrastructure
Built for secure deployment.
Certified compliance
Enterprise LLM controls
readiness for every use case
Every conversation, on the record.
In practice
Sampling a few calls a week tells you almost nothing. Knowing what happened on all of them is what lets you change anything with confidence.
Replicant's approach
Replicant captures and analyzes 100% of conversations across channels and agents for full traceability and auditability.
Generative AI scoring
Robust analytics
Talk to your data
Live in weeks, then yours to run.
In practice
An automation program that needs a vendor ticket for every wording change stops improving. The team that owns the customer should own the agent.
Replicant's approach
Pre-built connectors and embedded delivery experts get agents live fast; natural-language editing keeps them in your team's hands after launch.
Robust integrations
Delivery expertise
No-code self-service development
Fast to implement, easy to maintain
Launch on your existing stack, then keep improving it without a ticket queue.
Robust integrations
Rapidly connect to existing systems, 100s of pre-built connectors, and integration patterns across CCaaS, CRM, ticketing systems, and systems of record.
Delivery expertise
Replicant embeds seasoned conversational AI experts into your team — professionals who’ve delivered hundreds of successful enterprise deployments.
No-code self-service development
Build and edit AI agents with natural-language instructions, and test agents against synthetic customer data to optimize performance.
