Forward every doctor's note, discharge letter and pill bottle to one address. Numa links Apixaban, INR results, renal reviews, appointments and claim paperwork into one living record. Agents handle the reminders, the appointment prep and the insurance, so more time is spent on loved ones, less on paperwork.
When care gets complicated, families end up carrying the missing context between clinicians, appointments, medicines and paperwork.
The cause is almost never the medicine. It's the medication reconciliation that nobody did, the follow-up nobody booked, and the specialist letter that never reached the GP. The family caregiver becomes the memory layer for everyone else.
Dose changes after discharge get lost between the hospital, the pharmacy and the kitchen counter. Nobody is sure which version is current.
Specialist appointments arrive in letters, not calendars. Reminders go to the patient, not the caregiver who actually drives.
Specialists, GPs and family hold three different versions of the truth. Decisions get made on the worst one.
Claims stall waiting for one referral letter. Appeals take weeks. The family caregiver becomes an unpaid claims adjuster.
Numa builds a dated, source-backed care graph for one patient, fed by everything the family forwards, read by agents that handle the legwork.
Each patient gets a unique, unguessable address that only accepts mail from registered family. Discharge letters, prescription confirmations, insurance, photographed pill bottles. LLMs extract structured events: meds, doses, appointments, diagnoses, red flags.
Every medication, result, symptom, appointment and claim becomes a dated fact with a source. Numa knows what changed, who said it, and which later tasks depend on it.
Reminders that know the dose changed last Tuesday. Night-before appointment briefs. Daily digests for distant siblings. Insurance follow-up that chases its own missing referral letter.
When Sarah forwards the Royal Free discharge summary, Numa does not just add another item to a timeline. It connects the dose change to the medicine list, the renal review, the INR result, the ankle-swelling note, tomorrow's cardiology appointment and the insurance claim waiting on a referral letter.
One chronological feed of meds taken, calls held, documents extracted. Every sibling sees the same source of truth, in the same order.
One address per patient. Every email, every photo, every PDF lands in a structured queue with extractions you can audit and accept.
With dose-change context: why Apixaban moved from 5mg to 2.5mg, and which letter said so.
Tracked end-to-end. Numa knows what's blocking and chases the referral letter so the family doesn't have to.
The night before, a brief: what's changed, three questions worth asking, what to bring.
The version James in Manchester actually reads. Editorial, calm, three minutes long.
Auto-summarised. Decisions, action items by person, red flags, transcript on demand.
Leads clinical insight and distribution, shaping Numa around the real coordination problems families face when care gets complicated.
Built context maps and ran agents over graph memory structures while working with the UNESCO Chair on AI. Well-known in the London university startup community.
We'd love to talk to caregivers, care-home operators, employer benefits leads and health-plan teams. Or anyone who's lived this.