Linguini
Linguini is a research platform that combines the reach of surveys with the depth of interviews by hosting structured 1:1 conversations with up to 1,000 people per session. The platform analyzes all conversations together to reveal themes, tensions, and priorities, generating an automated Insights Report with Suggested Actions the same day. Anonymity is enforced at the database level, with no table mapping a person to what they said.
- Data & Analytics
- Enterprise Software
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Traditional research methods force organizations to choose between reach and depth: surveys reach many people but miss context and nuance, while focus groups and interviews provide depth but only reach a handful of participants who can influence each other. This leaves leaders without a clear, representative understanding of what their whole organization or population actually thinks.
Solution
Linguini combines the reach of a survey with the depth of an interview by hosting structured 1:1 conversations with up to 1,000 people per session. The platform analyzes every conversation together to reveal themes, tensions, and priorities, generating an automated Insights Report with Suggested Actions the same day. Anonymity is hard-wired into the architecture: personal identifiers are stripped before storage, capture is written against a derived code rather than an identity, and no table maps a person to what they said. Both live Events and asynchronous Ling AI sessions lead to the same shared picture, letting organizations make confident decisions based on what their people actually think.
Target Audience
Primary users are sales leaders, product teams, strategy teams, people teams, and research organizations that need to know what a whole population thinks, from a single team to an entire organization.
Features
- Supports up to 1,000 participants per session, with limits administered per Community by the Organization
- Anonymity enforced by database design: single ingest swaps identity for a derived code, names are stripped before storage, two stores share no key finer than the date, and small cohorts are withheld from every reader
- Automated same-day reporting with Themes, Insights, and Suggested Actions, with no analyst in between
- Two formats
- live Events for synchronous 1:1 conversations and Ling AI for asynchronous contribution with automated follow-up questions
- Pre- and post-session checks reveal shifts in understanding, confidence, and alignment
- Delegated sign-in via Google, Microsoft, or company SSO, with two-factor enforcement and full audit records for administrative actions
- Consent recorded naming the document and version; erasure removes all identified data while anonymous capture is untouched by design
- Browser-based with nothing to install and no integration required