Talking to customers takes time leaders rarely have. You rely on others to filter what matters.
Aligning company strategy with customer and market reality is hard.
Intuifi shows you what matters now, so you can decide what to do next.
Request your first free reportWhat happens today
Customer research is expensive and slow. Once it is done, it rarely gets referred to again.
You're either using or considering using AI. But you're not sure you can trust the output.
What Intuifi changes
See a consolidated view of customer needs, not a filtered version passed up the chain.
Re-run a report in minutes, whenever you need a fresh read on what is changing.
Every finding links back to the source, so you can verify what matters before acting on it.
Get to the insight that drives the right decisions
For executives and leaders who want strategy grounded in real customer needs.
How it works today
From fragmented insight to a report you can share, defend, and drill into.
Upload your data
Intuifi runs its analysis
Start high level, then drill down
Where Intuifi is going
On-demand reports today. A live view of customer and market needs tomorrow.
Phase 1 reduces effort. Phase 2 adds automation. Phase 3 enables deeper investigation.
Now
Automated Data Ingestion
Connect Intuifi directly to the tools your team already use.
Next
Pattern Memory
Track how customer themes change across reports and datasets.
Continuous Monitoring
Run analysis in the background and alert your team when trends emerge.
Later
Interactive Discovery
Ask follow-up questions and let Intuifi investigate for you.
Contextual Input
See how market needs align most closely with your business goals.
Strategic Simulation
Explore how market headwinds could reshape your priorities.
Before you decide
How is my data handled?
Intuifi only analyses the files you choose to upload. They are processed using Anthropic models through MindStudio. If you upload your files yourself, I have no visibility of your data or your report at any point. You stay in control of what is included.
Intuifi does not train on your data. Every theme is identified by analysing patterns in what your customers actually said across your uploaded files, not inferred from external sources or prior datasets.
For more information:
Anthropic data usage
MindStudio privacy policy
Intuifi does not train on your data. Every theme is identified by analysing patterns in what your customers actually said across your uploaded files, not inferred from external sources or prior datasets.
For more information:
Anthropic data usage
MindStudio privacy policy
How is this different from a typical dashboard?
This is not another dashboard. Dashboards usually present quantitative data and leave the interpretation to you. Intuifi works differently. It takes qualitative feedback like interviews, support tickets, survey responses, and call notes, then turns it into a structured report with clear themes, suggested actions, and the evidence behind each one. You are not exploring charts. You are seeing what customers need, and why it matters.
Why would I not just use ChatGPT or Claude?
LLMs give you good answers when you ask the right questions. But as a leader, you should not have to become a prompt engineer to understand your customers. You still have to prepare your data, structure your questions, interpret the output, and turn it into something another person can review and trust. Intuifi removes that work. Upload your files as they are and get back a structured report with themes, priorities, and the evidence behind every finding.
Could I not just build a tool like this myself?
Vibe coding tools make it easier than ever to build something that generates an output. The harder part is making it consistent and trustworthy enough to share with your team and act on. Intuifi is designed around that standard, so you spend less time maintaining workflows and more time understanding what matters.
Won't this become obsolete as AI improves?
The opposite. As AI becomes more capable, so does Intuifi. The methodology that structures your data, preserves the evidence, and produces something your team can trust is built on top of AI, not instead of it. A more powerful engine makes the output better, not unnecessary. What stays constant is the structure that makes the insight trustworthy and actionable.