About

Why Annsa exists.

Annsa is the autonomous product intelligence system for growth — it turns customer feedback into revenue-weighted priorities and codebase-aware specs delivered into Cursor and Claude Code over MCP, then tells customers when their feedback ships.

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·· CUSTOMER VOICE ····· +12 SIGNALS ··· URGENCY ↑ ····· $48K CONTEXT ··· CONFIDENCE 82% ····· + feedback.returned ··· evidence linked ····· decision updated ··· repo connected ····· outcome pending ···· PRIORITY 01 ··· CUSTOMER ASK ····· SPEC GROUNDED ··· MCP READY ····· RELEASE SHIPPED ··· RESPONSE signal ····· context ··· evidence ····· decision ··· build ····· outcome ··· memory ····· next ·· MRR ····· churn intent ··· commercial weight ····· customer count ··· confidence ····· linked issue +4 new signals ··· ranking recalculated ····· evidence retained ··· customer response returned ····· ···· PRIORITISE ··· REASON ····· BUILD ··· LEARN ····· PRIORITISE ··· REASON ····· BUILD ··· LEARN

The problem.

AI agents build fast. Cursor and Claude Code turned weeks of coding into hours. But deciding what to build didn't speed up. Customer feedback still sits across Slack, email, spreadsheets. Ranking it still means meetings, gut feelings and whoever argues loudest. The upstream work still happened — it just happened on weekends.

The bottleneck moved from engineering to product decisions.

The mission: Make customer voice and signals the intelligence behind every product decision.

Annsa is the infrastructure for everything upstream.

Values.

Five ways we work.

01

Be the mouse.

One bite at a time.

02

Make it useful.

Remove all the work.

03

Do the circuits.

Ship. Hear back. Improve. Ship again.

04

Give a shit.

Sweat the customer details.

05

Shoot for the moon.

Even if you miss, you'll land among the stars.

THE FOUNDER

Built by Catherine Williams-Treloar.

20 years across customer research, product and growth.

CATHERINE WILLIAMS-TRELOAR

“The methods were never good enough.”

Solo-founded in Sydney in 2025. Launched February 2026.

I've spent 20 years in customer research, product and growth across Sydney, London and Singapore — strategy and go-to-market at WPP, product management across 220+ global markets at Intuit, commercial growth at TradeGecko. Every role started the same way: gather feedback, dig through the data, try to turn signal into something useful. The methods were never good enough.

When AI made building cheap, the problem got more expensive. Nobody had built the infrastructure for the upstream layer. That's why I built Annsa.

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