
Resultid is a data analytics platform that specializes in transforming unstructured text data into actionable intelligence using Natural Language Processing (NLP) and Artificial Intelligence (AI). The platform helps companies drive business outcomes by uncovering hidden connections within text data to improve operations, anticipate trends, and enhance customer experiences. Resultid serves various industries including Automotive, Technology, Airlines, and Hospitality. Its core value proposition lies in its ability to unify insights across diverse data sources, create a living knowledge base, and break down language barriers to provide global insights that can be acted upon locally. The platform aims to help businesses improve customer satisfaction, boost NPS scores, optimize operations, and drive innovation by turning qualitative data into quantitative decisions.

Resultid is a data analytics platform that specializes in transforming unstructured text data into actionable intelligence using Natural Language Processing (NLP) and Artificial Intelligence (AI). The platform helps companies drive business outcomes by uncovering hidden connections within text data to improve operations, anticipate trends, and enhance customer experiences. Resultid serves various industries including Automotive, Technology, Airlines, and Hospitality. Its core value proposition lies in its ability to unify insights across diverse data sources, create a living knowledge base, and break down language barriers to provide global insights that can be acted upon locally. The platform aims to help businesses improve customer satisfaction, boost NPS scores, optimize operations, and drive innovation by turning qualitative data into quantitative decisions.
Core product: AI/NLP platform that converts unstructured text into KPI-linked, actionable insights
Industries served: Automotive, Retail/Technology, Airlines, Hospitality
Headcount: Around 9 employees
Funding: Seed-stage financing; total reported funding ≈ $3,380,000 (USD)
Founders / leadership: Named founders include Aditya Badve, Kevin Magee, Sifron Benjamin
Turning unstructured textual feedback and operational text sources into measurable, KPI-linked insights for enterprise operations.
Enterprise software / AI analytics
Most recent disclosed round listed as Seed on Jan 28, 2022; multiple early rounds reported (pre-seed through seed).
“Investors reported include Techstars, TMV, Kleiner Perkins, Overline, Bantam Group”