Intro to the Decodis Platform
Voice: The Next Data Frontier
The Problem
Of all the signals in human communication, voice carries the most emotional truth. Decodis is the first research platform built around that fact.
Every research team faces the same constraint: qualitative data is rich but expensive to analyze. Focus groups generate hours of audio that get reduced to text summaries. Voice tone, hesitation, and emphasis — the signals that reveal what people actually feel — are lost at transcription.The tools available today either summarize text after the voice is gone, detect facial expressions from video, or classify call-center sentiment for CX workflows. None of them combine research-grade voice emotion analytics with structured qualitative coding in a single platform. The result: researchers spend weeks doing what should take days, and the most revealing layer of human communication — the voice — goes unanalyzed.
WHAT THE DECODIS PLATFORM DOES
Decodis is an AI-native qualitative research analytics platform. It takes raw research data in (audio recordings, video, transcripts, survey open-ends) and delivers structured, coded, publication-ready output.
At the core is a patent-pending integration of voice prosody analytics with text analysis. Rather than analyzing text and voice separately, Decodis maps acoustic features — pitch, pace, emphasis, hesitation — onto time-stamped text segments. This prevents the well-documented problem of emotion signals "reverting to neutral" when voice is analyzed as a separate stream from words.The platform handles speaker diarization (who said what), AI-suggested coding with full researcher control and reusable codebooks, focus group and in-depth interview analysis at scale, qual-quant integration, and automated branded output — coded transcripts, emotion curves, dashboards, and presentation-ready reports.
What the market has. What Decodis adds.
The table below compares the Decodis Platform against three categories of existing tools: qualitative data analysis software (NVivo, ATLAS.ti), experience research platforms (Qualtrics), and AI-native quantitative tools (Zappi, Quantilope).
| Capability | Decodis | Others |
|---|---|---|
| Voice emotion analytics | ✓ Unique with patent pending | ✗ Text-only |
| Automated speaker diarization, transcription & translation | ✓ Built into platform | ✗ Transcription only |
| Both AI assisted + researcher-controlled theme generation | ✓ Efficient but verifiable | ~ Mostly AI which overgenerates insights |
| Retained codebooks | ✓ Can be used across projects | ✗ Rarely retained to be used across projects |
| Qual + quant integration | ✓ Unified in platform | ~ Either quant or qual |
| Branded, publication-ready output | ✓ Unique, built within platform | ✗ Produced outside platform |
| AI-moderated interviews | ✗ Opportunity for integration | ✓ Increasingly available |
| Video Capture | ✗ Opportunity for integration | ✓ Increasingly available |
| Panel | ✗ Opportunity for integration | ✓ Increasingly available |
✓ = Full capability
~ = Partial / limited
✗ = Absent
No analytics platform on the market today combines voice analytics with conversational thematic and quant + qual analytics at scale. Unique automated branded output generated directly from platform. Decodis capabilities can integrate with or complement capabilities found in other platforms.
Intellectual Property
Voice + text integration methodology: patent pending. The Decodis approach to time-stamped, chunked acoustic-text mapping is unique in the market. This is not CX-grade sentiment classification and not post-transcription text analysis — it is a novel method for preserving and analyzing emotional signal across both channels simultaneously.
WHAT OUR CLIENTS SAY
"[Client quote placeholder — to be confirmed]"— [Name], [Title], Google
built by
The Decodis Platform was designed and built by a team with deep expertise across research methodology, computational linguistics, AI, and software architecture:
PhD computational linguist specializing in natural language processing and speech analysis
AI data scientist with a Masters in data analytics, MBA, and 10 years of industry experience
Senior software architect with 10 years of full-stack platform development
Speech-to-text and ASR specialist focused on research-grade language models
Daryl Collins, Founder & CEO — 35 years in research, NYU PhD in public policy, Masters in economics, two published books (Princeton University Press), former professor, CEO of two research companies
contact
Let's Talk
Decodis is a working platform — built, tested, and delivering results for clients. We believe it belongs inside a larger organization where it can reach the researchers and teams who need it most.If you're thinking about building this kind of capability, we should have a conversation. The team, the technology, and the IP are ready for the right strategic home.Daryl Collins, Founder & CEO
[email protected]
www.decodis.ai