85%
Tasks completed on clean text
A tidy transcript is a kind problem. Most stacks are built for it.
Dynamic Language System
Voice AI that finishes the work.
Most voice agents can talk. VaraiE is built to complete the job on a real phone line: reschedule the visit, follow the invoice, reach the right person, and come back with a result.
BabbleLabs acquired by Cisco 10× ROI before the sale Backed by Dell & Intel Capital
The gap
Trained on text. Deployed on speech.
Voice agents look finished in a demo and fall apart on a live line. The failure is not language understanding. It is the phone call: noise, holds, interruptions, and people who leave the script.
30%
Tasks completed on real audio
The same work, on a real call, collapses. That is the business VaraiE is built for.
VaraiE’s comparison of task completion: clean text input versus real, artifacted audio.
What you can use
An agent in market. A speech model on the way.
Both sit on the Dynamic Language System, which keeps context, intent, and workflow state while the conversation is still moving.
In market
AZcall
Submit the task. AZcall places the call, gets through the phone system, and returns a completed outcome instead of a transcript your team still has to finish.
How AZcall works → Coming soonPolymer
Speech in, speech out. Most voice stacks convert to text and back, and lose tone, timing, and emotion on the way. Polymer answers in audio.
Why it matters →Dynamic Language System
Built for the call that does not follow the script.
DLS does not run one prompt and hope the other person cooperates. It coordinates the context and the next action as the workflow changes.
Real-time context
Keeps who is speaking, what they asked for, and which facts still matter as the call moves.
Dynamic execution
Replans when intent shifts, a menu changes, or the answer is not the one a script expected.
Messy audio
Designed for holds, noise, and interrupted speech — the 30% problem, not a studio take.
Low latency
Responds while the other person is still in the conversation, not after a stack of conversions.
Outcomes
Phone work, returned as a result.
If the task still depends on someone staying on the line, it is in range. Healthcare is where the product is proven. The same system covers the rest of the business.
Care
Scheduling
Book, move, or confirm a visit and return the new time. Not a reminder to call the office back.
Revenue
Invoice follow-up
Call on an open invoice and come back with a commitment, a dispute, or a clear next step.
Insurance
Adjuster scheduling
Reach the carrier, find the right desk, and put an adjuster on the calendar.
Access
Auto Connect
Find the number, pass the menu, wait on hold, and connect a person only when a human is there.
Benefits
Brokers and employers
Resolve plan and enrollment questions that still only get answered by phone.
Operations
Vendors and HR
Verify employment, confirm a supplier, or close a service task without adding it to someone’s afternoon.
How a task completes
From a request to a result.
State the outcome
A person or a system describes the job. “Move it to Thursday” is enough to start.
DLS plans the call
The system turns that intent into the steps, the parties, and the facts the call needs.
The agent stays on the line
Menus, holds, and changed answers are part of the work, not a reason to hand it back.
You get the result
A confirmation, a verification, or the next action. The transcript is not the deliverable.
The team
This is not a first voice company.
The founders previously built BabbleLabs, backed by Dell Technologies Capital and Intel Capital. It delivered over 10× ROI and was acquired by Cisco in 2020. The same people now build VaraiE.
AWS Activate
NVIDIA Inception
Google for Startups