Cassi.ai: automation software for market research
Cassi.ai is a software engineering company for market research, innovation and insights. It automates the repetitive work of the research operation, built by people who understand research. It covers the work from testing the questionnaire before fieldwork to delivering the dashboard. Every product in the portfolio started as a client request. New needs are built to order.
Every stage of the research operation has a product, from questionnaire to dashboard
- Deskor: Connects company knowledge, AI agents and workflows, so the team builds proposals, decks, reports and dashboards from what the company already knows.
- QualiLab: Automates qualitative analysis. Focus groups and interviews go in. The report and the deck come out, with a verbatim behind every finding.
- Dash Lab: Builds made-to-measure research dashboards: matrices, segmentation, driver analysis, significance testing and tracking, with the base next to every number.
- Survey QA: Automated survey testing. A robot walks every screen on desktop and mobile and returns a verdict screen by screen, with screenshots.
- Survey Studio: Immersive research. Every study gets its own format, such as gamified missions or a narrative in scenes, on one engine with a live fieldwork cockpit.
- Synthetic Lab: Turns the research already done into synthetic personas of the target, for synthetic focus groups and quantitative studies with quotas.
- Synthetic Vertical Simulator: Rebuilds the client's consumers as synthetic personas from the client's own data and places them in a virtual copy of the environment where the decision happens.
- Video Lab: Analyzes ethnographic and in-home test videos and returns behavioral KPIs. Every conclusion carries a timestamp and a frame as evidence.
- Shopper Insight Lab: A virtual shelf purchase simulator. Participants shop a virtual aisle with a cart and a budget, and the dashboard shows attention, choices and trade-offs.
- Review Pulse: Compares a chain's stores with competitors from public data: hourly foot traffic, Google reputation and review topics, store by store.
- Shelf-Lab: Measures who passed, stopped, touched and took each product at the shelf, using the CCTV the store already has. Heads are blurred at the source.
- Community Lab: A networking platform for events that connects clients and participants, integrated with the CRM. It shows a live map of who is there and who to talk to, with the reason.
- AI Innovation and Automation Workshop: Three one-hour sessions that map real work by area, measure AI maturity and end with a prioritized automation and AI plan.
Three ways to work with Cassi.ai
1. Ready product: use a portfolio product in a study; the Cassi.ai team sets up the project. 2. Custom project: bring a manual process and Cassi.ai builds the automation, starting with a diagnosis, the AI Innovation and Automation Workshop or an AI maturity assessment. 3. White label: research firms and consultancies offer the platform under their own brand.
Rules that hold in every product
Every finding points to its evidence. A synthetic answer is labeled synthetic. A percentage shows its base and a low base is flagged. An uncertain field is marked uncertain. One client's data never mixes with another's.
Company
Founded by Cassiano Albuquerque after two decades in technology and automation for market research; former ESOMAR representative in Brazil. Contact goes through the form at https://www.cassiai.com/contact.