An always-on AI product analyst, inside Slack.
Give it a business goal, not a prompt.
It decides what to work on.
Sets its own agenda.
Learns how the business makes money, then assigns itself the highest-value investigations.
Hunts for opportunities.
Watches product, marketing, payments, and support for what nobody thought to look for.
Turns insight into outcomes.
Puts findings into action, measures the result, and follows through until metrics move.
3×
higher on data analysis benchmarks
Ask once, or hand over the whole question.
Ask a question
One-off, on demand. Refix investigates across your connected data and answers with a conclusion, evidence, and caveats.
Why did SIP setup decline last week?
Delegate a goal
Ongoing. Refix carries the goal forward on its own, deciding when to look again, what to check, and what is worth sharing.
Keep an eye on KYC completion during the onboarding rollout.
No thresholds, segments, or dashboards to define up front.
Refix decides when to look and what matters.
Four things make it useful.
Always-on analysis
Questions on demand, goals carried forward independently. It works while you don't.
Context-aware investigation
Connects product, revenue, payments, support, and release data to explain what changed and why.
Organisational memory
Retains metric definitions, incidents, past analyses, and decisions. Every investigation starts with context.
Follow-through
After a launch, fix, or intervention, it checks whether the intended result actually happened.
Where teams like yours point it first.
Onboarding & KYC
Signup, KYC completion, bank verification, first-investment conversion, and the hidden friction between them.
Release & rollout impact
What a launch or phased rollout actually did: gains, regressions, and trade-offs across the product.
Feature adoption
Which behaviours and product moments are linked to sustained usage, not just first touches.
Retention & repeat investing
SIP continuation, inactivity, and re-engagement across cohorts. Early churn signals, before they compound.
These are examples. Today is about finding yours.
Now, over to you.
We'd like to hear how your team works today, and where an always-on analyst would earn its keep first.
A continuous analytical loop.
Everything it learns feeds the next investigation, so it starts smarter every time.