Real Teams.
Real Hours Back.
We've helped businesses across industries eliminate the manual grind. Here's the proof.
From 3-Day Turnaround to Same-Day Financial Reporting
The FIQA team was manually extracting figures from hundreds of PDFs each week and re-entering them into spreadsheets. We built an automated pipeline that reads incoming financial documents, validates the data, and populates their reporting dashboard in real time.
- Automated extraction from PDFs, Excel sheets, and email attachments
- Real-time validation against compliance rules before entry
- Direct write-through to their existing reporting dashboard
- Deployed in under two weeks, no internal IT resource required
Patient Admin That Runs Itself So Clinicians Can Focus on Care
Busy clinics are drowning in paper intake forms, insurance pre-authorisation requests, and referral letters. We automated the entire admin chain - from patient data capture to insurer submission - eliminating a full day of admin work per week per site.
- Digital intake forms auto-populate the patient management system
- Insurance pre-auth requests generated and submitted automatically
- Referral letters drafted from structured notes, ready for clinician sign-off
- GDPR-compliant data handling baked in from day one
Automated Memory Layer for a Growing Organisation
Zymem's operations team was manually compiling batch records, certificates, and regulatory submissions - a process prone to version errors and delays. We built a system that generates audit-ready documentation automatically whenever a batch is signed off.
- Batch records auto-compiled from data on sign-off
- Supplier CoAs automatically matched, verified, and archived
- Regulatory submission packs generated in the correct format per regulator
- Full version history and audit trail maintained automatically
A Voice Agent That Remembers Every Conversation
Most voice assistants start every call from scratch. We built a persistent voice agent backed by the Maple Memory API - so it recalls prior interactions, adapts to each user's preferences, and picks up mid-task without needing to be re-briefed.
- Persistent memory layer stores conversation context across sessions
- Graph-based routing surfaces the right memories for each query
- Works with any TTS/STT stack via the Maple Memory REST API
- Zero-knowledge encryption - call data is never stored in plain text
The Maple Memory API in Action
Watch how memory is written, retrieved, and routed in real time - from a single API call to a contextually-aware response.
What Could We Automate for You?
Tell us your messiest process. We'll show you exactly how to fix it.
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