TILDE

TILDE

ielab
+
+

Related Products

  • Bright Data
    1,404 Ratings
    Visit Website
  • NetNut
    579 Ratings
    Visit Website
  • ServoDesk
    25 Ratings
    Visit Website
  • optivalue.ai
    4 Ratings
    Visit Website
  • DrayMaster
    1 Rating
    Visit Website
  • Buildxact
    261 Ratings
    Visit Website
  • Interfacing Integrated Management System (IMS)
    66 Ratings
    Visit Website
  • ROLLER
    258 Ratings
    Visit Website
  • DbVisualizer
    583 Ratings
    Visit Website
  • Concord
    237 Ratings
    Visit Website

About

Skimle transforms unstructured qualitative data into structured, analyzable datasets using AI. Unlike RAG chatbots that retrieve random passages, Skimle systematically processes entire document sets upfront—analyzing each section, extracting insights, and organizing them into hierarchical theme taxonomies. Upload interview transcripts, PDFs, audio/video, reports, or any qualitative data. Skimle's worklow (inspired by academic thematic analysis) codes every passage, identifies patterns, and creates a "spreadsheet" where documents are rows and themes are columns. Every insight links to verified quotes - no hallucinations. 100+ languages, 1,000+ docs/project, GDPR-compliant EU storage, full traceability (themes↔quotes), editable categories, AI reasoning chat, export to Word/Excel/PowerPoint reports etc. Why different: Combines academic-grade rigor with AI speed. What takes weeks in NVivo or other legacy tools takes hours in Skimle, with full audit trails for peer review.

About

TILDE (Term Independent Likelihood moDEl) is a passage re-ranking and expansion framework built on BERT, designed to enhance retrieval performance by combining sparse term matching with deep contextual representations. The original TILDE model pre-computes term weights across the entire BERT vocabulary, which can lead to large index sizes. To address this, TILDEv2 introduces a more efficient approach by computing term weights only for terms present in expanded passages, resulting in indexes that are 99% smaller than those of the original TILDE. This efficiency is achieved by leveraging TILDE as a passage expansion model, where passages are expanded using top-k terms (e.g., top 200) to enrich their content. It provides scripts for indexing collections, re-ranking BM25 results, and training models using datasets like MS MARCO.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Academic researchers (thematic analysis), consultants (expert interviews, data rooms), policy analysts (public consultations), legal teams (discovery), market research, software engineers

Audience

Academic researchers and developers searching for a tool to implement efficient and scalable passage re-ranking and expansion techniques

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$0
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Skimle
Founded: 2025
Finland
www.skimle.com

Company Information

ielab
United States
github.com/ielab/TILDE/tree/main

Alternatives

Quala

Quala

ReliCheck

Alternatives

ColBERT

ColBERT

Future Data Systems
Palantir Gotham

Palantir Gotham

Palantir Technologies
RankLLM

RankLLM

Castorini

Categories

Categories

Qualitative Data Analysis Features

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Integrations

ATLAS.ti
Hugging Face
MAXQDA
NVivo
Python

Integrations

ATLAS.ti
Hugging Face
MAXQDA
NVivo
Python
Claim Skimle and update features and information
Claim Skimle and update features and information
Claim TILDE and update features and information
Claim TILDE and update features and information