PetaSight is an AI‑driven operating system for primary market research teams in life sciences, automating the full study lifecycle—from bid intake and questionnaire design to fieldwork monitoring, quality control, reporting, and invoicing. The platform uses autonomous agents to execute routine tasks while human reviewers approve at defined gates, providing a unified dashboard that tracks study health, SLA risk, quality flags, and cost drivers. By integrating with existing survey and vendor tools, PetaSight adds governance and visibility without replacing the current ecosystem, helping pharma, biotech, and research agencies accelerate delivery and reduce rework.
Funding
Funding not disclosed
Founders
Product
Problem
Primary market research (PMR) in life sciences involves complex, multi-step workflows with numerous handoffs across tools, teams, and external vendors, leading to a lack of governance, visibility, and efficiency. The fragmented process results in delayed study launches, SLA breaches, high rework rates, and difficulty tracking quality and cost drivers.
Solution
PetaSight provides an AI‑driven operating system that orchestrates the entire PMR lifecycle—from bid intake and study scoping through fieldwork, quality control, reporting, and invoicing—while embedding approval gates and an auditable evidence trail. Autonomous agents execute routine tasks such as RFP parsing, questionnaire design, panel selection, real‑time fieldwork monitoring, and vendor performance tracking, with human reviewers approving at predefined checkpoints. The platform delivers a unified dashboard that surfaces study health, SLA risk, quality flags, and cost drivers, enabling teams to intervene early and maintain consistent execution standards. By integrating with existing survey platforms, sample sources, and agency tools, PetaSight adds governance without replacing the underlying ecosystem, allowing life‑science insight teams and research agencies to accelerate delivery while reducing rework and defect escape rates.
Target Audience
Primary customers are life‑science insight teams (pharma and biotech) that manage outsourced market research, as well as market‑research agencies seeking to standardize delivery, improve margins, and maintain auditability.
Features
- AI agents automate bid, scope, questionnaire design, panel sampling, fieldwork monitoring, QC, reporting, and finance tasks, reducing manual handoffs
- Configurable approval gates with named owners, role‑based access, and full audit trails for every critical transition
- Real‑time dashboards showing study health, SLA status, quality flags, and cost drivers across all vendors
- Automated data quality checks that detect speeders, duplicates, and straight‑liners during fieldwork
- AI‑generated charts, narratives, and topline reports from verified response data
- Integration layer that works with existing survey platforms, panel providers, and agency tools without replacing them
- Analytics engine that measures cycle time, SLA adherence, rework rate, defect escape rate, and unit cost for continuous improvement