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Built by someone
who has done the work
Compeers AI was founded by a market researcher who became a data scientist. After 13 years in market research and eight years in AI/ML, he built Compeers to address the inefficiencies he had experienced firsthand in traditional research workflows.
Why Compeers exists
PROBLEM
The research industry needed a rebuild
For most of its history, market research has been a slow, expensive, manually executed business. A typical custom study takes five people six to eight weeks, and the cost reflects that.
Insights teams know this and feel the strain, but the model has not changed in fifty years.
SOLUTION
AI made a different model possible
Large language models created a way to compress the operational work without giving up on rigor. The opportunity was real, but it required someone fluent in both market research and AI to build it correctly.
Compeers AI is that build.
Vijay Rajan,
founder
Vijay started his career in market research in 2002 and spent the next thirteen years inside the function. He worked at pharmaceutical and CPG companies, eventually serving as director of market research.
In 2015, Vijay switched to a career in data science and over the next eight years, he worked at various companies in the AI/ML field, eventually serving as a technical director of AI at a healthcare system.
When large language models became publicly capable in late 2022, Vijay started building what would become Compeers AI. He quit his job in 2024 to focus on the company full time.
The combination of Vijay's experience in both market research and building AI applications is what makes Compeers so useful and intuitive. Compeers is built by someone who knows what insights teams actually need and where AI can actually be useful and applicable in an insights workflow.
What we believe about research and AI
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Human judgment leads. AI executes.
The judgment calls in research, methodology, interpretation, recommendation, belong to a senior researcher.
AI handles the operational work that benefits from speed and scale.
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Rigor is not optional.
Every output should be grounded in real project data. Every finding should hold up when a stakeholder pushes back.
Speed and cost matter, but not at the expense of work that does not survive contact with scrutiny.
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Real respondents, not synthetic ones.
Synthetic respondents and AI personas look plausible and behave like average-generating machines.
We do not use them in our work, and we publish openly about why.
Where we stand on AI in research
Where AI belongs
AI is genuinely useful for drafting, synthesis, transcription, coding, statistical processing, and report assembly. It is faster than humans at these tasks and, when set up properly, just as accurate.
This is where Compeers uses it.
Where AI does not belong
Synthetic respondents, AI-generated personas, and any use case where business decisions depend on AI standing in for actual humans. These applications are popular and well-marketed, but they are not stable measurement instruments.
We have published extensively about why.
Security and compliance
Compeers is SOC 2 Type II and ISO/IEC 27001:2022 certified. Your data stays yours, and documentation is available on request before any work begins.
Trusted by
Come talk to us about a project
A short conversation is enough to figure out whether Compeers fits a study your team is planning.
Security badges (SOC 2 Type II, ISO/IEC 27001:2022)
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Custom research, reimagined
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