Win rates climb
Objections surface and get handled in time.
Voice analytics should not delete the voice.
Voice analytics meant transcription: sound in, words out, but the words say yes while the voice says maybe.
Machines learned to see. Learned to speak. Now, they learn to hear.
Text captures the conversation. Voice captures the intelligence within it. Pradhi analyzes what people say and how they say it, uncovering signals that drive better decisions, stronger customer relationships and business outcomes.
Because the next layer of AI intelligence is in the voice.
- Built See Computer vision identifies a photo in a blink.
- Built Speak Language models write you a paragraph.
- Built by Pradhi Hear Reading what a person means from the voice.
Every enterprise has five data sources.
Which one do you base your decisions on? Why not voice?
- Voice becomes an intelligence layer in its own right.
- Analyzing the words + vocal signals + context can uncover the signals hidden within every conversation.
- Signals turn into actionable business intelligence.
Because what people say is only part of what they communicate.
Each reveals:
-
Numbers
Performance, trends, patterns and anomalies.
-
Text
Facts, topics, entities, opinions and stated intent.
-
Images
Objects, patterns, defects and visual context.
-
Video
Actions, events, movement and interactions over time.
-
Voice
Not just what is said, but how it is said.
Hidden intent, confidence, hesitation, emotion, urgency and conviction.
The industry built mouths. We are building the ears.
AVI is built on one belief: what a person means is in the voice, not the words.
-
Transcription
Reduces the voice to text.
-
Another LLM
Chases language patterns in the words.
-
AVI, signal-first
Reads the signal in the voice itself: tone, hesitation, conviction.
Not transcription. Not another LLM. We call it Decision Signal Intelligence™: analyzing what a person means, not just what they said.
What drives our voice intelligence is
SPINS
You cannot bolt this on. Everyone else starts with the words after the voice is gone. Pradhi starts at the microphone and reads the voice itself. Every call, the intent intact, on your own servers.
The science behind the signal.
At the heart of AVI is SPINS: a proprietary fusion of Signal Processing, Intelligence, and NeuroScience that delves deep into the voice and makes sense of the noise at a level generic AI cannot match.
Voice into the decision
Transforms raw voice into the decision intelligence leaders can act on and teams can trust.
Signal Processing
2932 features from a few seconds of voice: pauses, inflection, stress.
NeuroScience
Mapping signals to how humans actually perceive trust, risk, and intent.
The payoff
Decisions you can defend. Growth you can prove.
Enterprise-ready. On-premise, in your own infrastructure. Your data never leaves the building. No external APIs.
Risk shrinks
Compliance signals are caught before they escalate.
Collections improve
Hesitation and stress separate can't-pay from won't-pay.
Cycles compress
Intent surfaces early, so deals move.
Coaching scales
Hidden cues become visible to every agent.
Intelligence from voice
Born from three years of decoding real conversations, AVI captures what most models miss: the intent beneath the words. Built on thousands of hours of real-time proprietary data, it turns messy dialogue into precise intelligence. In industries where conversations can tilt fortunes, accuracy is not a feature: it is foundational.
-
What is the difference between voice analytics and voice intelligence?
Voice analytics almost always means transcription: sound in, words out, then text analysis on the words. The voice itself is discarded at the first step. Voice intelligence reads the signal in the voice directly, so tone, hesitation and conviction survive into the decision.
-
Why do transcripts lose so much of what was said?
A voice signal carries thousands of samples a second; a transcript reduces that to a handful of words. The pause before the number, the lift at the end, the flatness on the commitment are gone before any analysis begins. Pradhi extracts 2932 acoustic features from a few seconds of voice.
-
What is Decision Signal Intelligence?
Decision Signal Intelligence™ is the practice of reading tone, hesitation and conviction directly from a voice recording to produce a decision a business can act on and defend, without relying on a transcript.
-
What is SPINS?
SPINS is Pradhi's proprietary fusion of Signal Processing, Intelligence and NeuroScience. Signal processing reads the markers in the audio, neuroscience maps them to how people actually perceive trust, risk and intent, and the intelligence layer turns that into a decision.
-
Does reading the voice signal work across languages?
Voice intelligence is language-agnostic, because tone, hesitation and conviction are carried in the signal rather than the vocabulary. Pradhi has tested this across 12 Indic languages on its own real-time data, including the code-switching Indian speakers do mid-sentence.