Keplar provides an AI‑powered voice research platform that automates consumer interviews, converting brief inputs into natural‑language interview guides and conducting real‑time, synthetic‑moderated conversations. The system transcribes, analyzes sentiment and topics, and delivers structured insights through an interactive dashboard, reducing research costs and time.
Funding
$3.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Qualitative market research often relies on manual interviews and surveys that are time‑consuming, costly, limited in sample size, and subject to moderator bias and scheduling bottlenecks. These constraints delay insight generation and reduce the reliability of consumer feedback.
Solution
Keplar delivers an AI‑powered voice research platform that automates end‑to‑end consumer interviews at scale. A synthetic voice moderator conducts natural, open‑ended conversations, captures speech in real time, and transcribes responses using advanced speech‑to‑text and natural‑language‑understanding models. The platform generates unbiased interview guides from a brief, routes participants to the appropriate study, and aggregates the data in a cloud‑native analytics pipeline. Researchers receive structured insights, sentiment scores, and thematic clusters through an interactive dashboard, enabling faster decision making while cutting costs by up to 70 % compared with traditional methods. The service is always on, allowing studies to be launched instantly across any digital touchpoint.
Target Audience
Keplar serves market research teams, product managers, brand managers, and customer success professionals who need high‑volume, unbiased consumer insights across the product lifecycle. The platform is also suited for agencies and enterprises that run frequent concept tests, messaging evaluations, and post‑purchase experience studies.
Features
- AI‑driven voice moderator that conducts fully automated, human‑like interviews without fatigue or leading cues
- Real‑time speech‑to‑text transcription combined with NLP‑based topic extraction, sentiment analysis, and keyword clustering
- Automated study setup: brief‑to‑guide conversion, template library, and audience routing in under two minutes
- Scalable cloud infrastructure that supports thousands of concurrent conversations and stores data in a HIPAA‑compliant, encrypted repository
- Interactive web dashboard with drill‑down reports, trend visualizations, and exportable CSV/JSON datasets for downstream analysis
- API and SDK integrations for CRM, product analytics, and BI tools, enabling seamless data flow into existing workflows
- Continuous feedback loops for customer success and product teams, with automated win/loss and churn driver analysis