We exist to make accurate information possible.
A company that cannot answer “why” will always be confused about “what.” SoftSight began not with an idea but with an experience — three years inside a workflow so broken that the people living it had stopped questioning whether it could be different.
Built inside the problem it solves.
Our co-founder spent three years running a market research aggregator agency. Not studying it. Not consulting for it. Running it — managing supplier relationships, negotiating CPIs over email, monitoring live fieldwork through WhatsApp updates, and discovering quality problems after clients had already seen the data.
He understood, from the inside, that the problem was not the people. It was the infrastructure.
Email threads
Managing supplier relationships through inbox chaos.
WhatsApp updates
Monitoring live fieldwork through fragmented messages.
Spreadsheet handoffs
Negotiating CPIs over email with no data — just gut feel.
Discovery, too late
Finding quality problems after clients had already seen the data.
SoftSight builds the operational infrastructure that market research fieldwork has always been missing. We automate what should never have been manual. We detect what should never have gone undetected. We return to researchers the time, clarity, and confidence that the current way of working has taken from them.
Accurate data is not a luxury.
The data that informs the world’s most important decisions — what brands launch, what drugs get developed, what policies get enacted — is being collected with no real-time protection, and managed by people who spend most of their week on administration.
SoftSight is the infrastructure layer that should have existed years ago. Accurate data is the condition under which good decisions become possible. We exist to make that condition real.
AI Project Manager
Automates the entire supplier fieldwork lifecycle — RFQ distribution, AI-powered quote parsing, intelligent negotiation, real-time monitoring, automated reconciliation.
SurveyGuard
Sits at the entry point of every survey, reviewing each respondent across 15 detection layers in under 200 milliseconds — before a single fraudulent response can enter the dataset.