Accelerate Qualitative Insight with AI-Driven Grounded Theory
Stop drowning in transcripts. Theoros automates the coding process while maintaining full auditability and theoretical sensitivity for rigorous research.
The Research Bottleneck
Sound Familiar?
Data Overload
100+ pages of interview transcripts waiting to be analyzed
Time Drain
Weeks of manual coding and re-coding, over and over
Hidden Patterns
Themes you didn't know to look for, missed in the process
Traditional qualitative analysis forces a choice: rigor OR speed. Theoros gives you both.
The Theoros Difference
Analysis You Can Trust
Emergent Categories
Patterns arise from YOUR data, not imposed frameworks. Bottom-up analysis, just like traditional Grounded Theory.
Human-in-the-Loop
AI proposes codes. You approve, reject, or refine. See the reasoning behind every suggestion. Always in control.
Full Audit Trail
Every decision documented. Every pattern linked to source quotes. Export your complete methodology for publication.
From Raw Text to Theory
A systematic workflow designed for qualitative researchers.
Import Data
Upload transcripts, field notes, or documents. Theoros supports PDF, DOCX, and plain text.
Auto-Coding
AI agents scan text to identify concepts, assigning initial codes grounded in the data.
Refine & Sort
Review AI codes. Merge, split, or rename codes. The system learns your theoretical lens.
Visualize Model
Generate network graphs showing relationships between categories and core variables.
Show the work
Watch AI Coding in Action
Analysis Workbench
TRANSCRIPT: P-042
I really felt stuck at that point. The system wasn't responding, and no one was answering my emails.
It felt like I was completely on my own trying to figure out this complex machinery. Eventually, I just gave up and went back to the old way.
Detected Codes
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