Kraftful
AI-powered product discovery to transform user feedback into actionable product requirements.
The AI-powered qualitative research platform to collect, analyze, and share customer insights 10x faster.
Notably is an advanced qualitative research platform that leverages LLMs to bridge the gap between raw data collection and actionable product insights. Positioned in the 2026 market as a leader in 'Product Intelligence,' Notably utilizes a sophisticated data-linking architecture that connects video recordings, transcripts, and thematic tags to a centralized insight repository. Its technical core features an AI-assisted synthesis engine that mimics the 'sticky-note' methodology of design thinking, but with the speed of automated clustering and sentiment analysis. Unlike traditional repositories, Notably provides a multi-modal workspace where researchers can analyze audio, video, and text in a unified canvas. Its 2026 roadmap focuses heavily on 'Semantic Threading,' allowing teams to see how customer sentiment evolves over years of disparate research projects. The platform is built for high-scale enterprise environments, offering SOC2 compliance and complex permissioning, making it the infrastructure of choice for research-mature organizations seeking to democratize data-driven decision-making without losing technical rigor.
Natural Language Processing (NLP) models that automatically identify and categorize transcript segments based on pre-defined or emerging themes.
AI-powered product discovery to transform user feedback into actionable product requirements.
The all-in-one platform for rapid prototyping, user testing, and developer handoff.
The high-fidelity human insight platform for remote user research and usability testing.
The unified feedback management engine for scaling product-led growth.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A digital whiteboarding interface where AI clusters qualitative data points using semantic similarity embeddings.
Vector-based search that finds relevant insights based on context rather than exact keyword matches across all historical data.
Algorithmically creates video montages of all clips tagged with specific themes for stakeholder presentations.
Object-oriented data containers that update in real-time as more evidence is tagged to a specific theme.
Support for over 30 languages with automated translation capabilities for global research teams.
Time-series analysis of emotional valence throughout interview sessions visualized as a heat map.
PMs often have too many interviews to synthesize manually, leading to missed insights.
Registry Updated:2/7/2026
Share video evidence with developers
Consolidating usability scores with qualitative feedback across 20+ participants.
Moving away from legacy software like Atlas.ti for a more collaborative, modern experience.