Mach-1 by AionCX
Break the sound barrier.
The end-to-end audio-to-analytics pipeline for developers. Send audio. Get speaker-labeled transcripts, structured intelligence, evaluations and analytics through one integrated pipeline. Mach-1 handles the processing so you can build the products that use it.
Your next product starts where the audio ends.
Build a quality platform that explains its scores. A customer intelligence product that reveals recurring problems. An AI assistant that can work with what was promised. Mach-1 turns conversations into the structured information those products depend on.
One pipeline to integrate.
Carry audio through transcription, understanding, evaluation and analytics in a connected processing system.
Results your application can use.
Work with structured findings, criteria and source references instead of parsing a different prose answer at every step.
Control over what gets processed.
Define the classifications and evaluations your use case needs. Apply the relevant analysis to each conversation.
Mach-1
Audio in. Intelligence you can build on.
Follow a conversation from recording to an individual finding, and then into the patterns across a collection of calls.
Preserve speakers and source timestamps
00:04 · Customer: “My delivery is booked for Monday. Can you move it to Thursday?”
00:12 · Representative: “I can request Thursday, but the delivery team has to confirm it.”
00:25 · Representative: “I’ve submitted the request. I’ll email you an update by 3 p.m. tomorrow.”
The entire path belongs together.
Classification establishes what happened. Evaluation applies the relevant standard. Analytics brings the results together. Mach-1 carries the conversation’s meaning and evidence through that path.
Context carries forward.
The reason for contact, the customer’s request and the stated outcome remain available to the stages that need them.
Criteria follow the conversation.
A delivery change and a cancellation can require different evaluations. Applicability determines what gets assessed.
Every level can be inspected.
Move from an aggregate finding to the conversation and the supporting words.
Build what comes after the conversation.
Bring the audio, the questions and the product you want to create. Put Mach-1 behind it.
Build with Mach-1