InquiSight is an India-first AI-powered qualitative research platform for teams that need depth quickly, not an agency workflow that stretches for weeks. A client comes in with a decision or question, such as pricing, packaging, messaging, concept validation, or diligence, and InquiSight helps turn research objectives and source documents into discussion guides, screeners, sections, questions, and stimulus flows. The platform then runs AI-moderated interviews with audio and video capture, transcription, and recovery workflows. The output is not just a transcript dump. Teams receive executive summaries, strategic findings, question-by-question synthesis, participant-level evidence, and a final report where insights are linked back to exact video moments for auditability. The platform also includes a searchable intelligence layer, so follow-up questions can be asked against the study after delivery instead of commissioning new research every time. It is built for India-focused research and supports 30+ languages across consumer and B2B use cases.
Most InquiSight studies are delivered in 24 to 72 hours once the brief, target audience, and fieldwork plan are locked. The exact timing depends on how fast the study is scoped, how specialized the audience is, whether InquiSight is recruiting participants, and how many interviews are being run. A broad consumer study with an accessible audience can move quickly, while a niche cohort or a more complex discussion guide may need extra field time. The point is that teams are not waiting three to six weeks for a traditional research cycle to finish before seeing anything useful. InquiSight is designed to compress scoping, moderation, transcription, synthesis, and reporting into one connected workflow, so clients start getting structured signal much faster and receive a decision-ready report in days instead of weeks.
InquiSight can recruit participants on the client's behalf or run the study with a client-supplied panel, CRM list, or customer community. That flexibility matters because some teams already know exactly who they want to speak to, while others want InquiSight to source respondents end to end. When InquiSight handles recruitment, field credits are added based on audience difficulty, such as standard consumers, specialized professionals, or harder-to-reach cohorts. When the client brings its own panel, those external recruitment costs can often be avoided while keeping the study tightly aligned to existing customers or prospects. In both cases, the goal is the same: get to high-quality interviews fast without forcing the team into a one-size-fits-all fieldwork model. Recruitment is treated as one component of the project, not a black box, so scoping stays clearer.
InquiSight is different from a traditional research agency in both speed and how the evidence stays usable after delivery. A typical agency project can take three to six weeks, move across multiple teams, and end with a static deck that summarizes what happened but does not let the client re-examine the source material easily. InquiSight compresses that process into one platform workflow where AI helps with study setup, moderation, transcription, synthesis, and reporting in one system. The result is faster turnaround, usually 24 to 72 hours for many studies, and an output that remains queryable after fieldwork ends. Clients do not just receive conclusions. They receive thematic patterns, participant-level evidence, and links back to exact video moments so claims can be audited. That makes the work faster to act on and easier to trust when the stakes are high.
InquiSight and Poocho solve different bottlenecks. Poocho is strong on India recruiting, scheduling, and live research operations. InquiSight is stronger when the team wants AI to do more of the work end to end: generate and refine study setup from research objectives, run AI-moderated interviews, and deliver consolidated analysis for decision-making. InquiSight is also built for India-focused studies and supports 30+ languages, so the distinction is not India relevance versus AI. The distinction is whether the buyer mainly wants a stronger research ops layer or a stronger setup-to-synthesis AI workflow.
InquiSight pricing is structured around three moving parts rather than a single public all-in package. First, there is a platform fee that covers study setup, discussion guide structuring, the live thematic dashboard, the final report, and the searchable intelligence layer. Second, interview analysis is billed per interview, which means teams pay for the actual fieldwork volume they run. Third, field credits apply only when InquiSight recruits participants on the client's behalf, and those costs vary based on how easy or difficult the audience is to source. Teams can run studies pay-as-you-go or choose an annual subscription when research is part of their regular operating rhythm. Current annual platform plans start at INR 4,00,000 for up to 15 studies per year and INR 12,00,000 for unlimited studies, with interview analysis and recruitment billed separately.
After fieldwork ends, clients receive more than a deck of conclusions. InquiSight delivers a final report, executive summaries, strategic findings, question-by-question synthesis, participant-level evidence, and video-backed insight trails that show exactly where a theme came from. That means the team can move from summary to source quickly instead of treating the research as a black box. Interviews are transcribed, themes are organized, and the most decision-relevant patterns are surfaced in a format that can be shared internally with product, brand, growth, or investment teams. Clients also retain access to a searchable intelligence layer, respondent explorer, cohort comparisons, and AI Studio style follow-up querying against the completed study after delivery. In practice, that helps extend the life of each project because new questions can be answered from the same research base instead of restarting from zero.
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