Rwazi built Sena, a Decision AI that shows health teams where care is reachable and where access gaps sit, from facility photos and consented consumer input.
Claims data shows care that happened. The care that happens next depends on nearby facilities, what each can deliver, and how people choose.
A directory lists an infusion center or a pharmacy. The site itself shows the equipment, services, and hours a therapy needs.
Sena. Sena captures geo-verified photos of each facility and documents its services, equipment, hours, and accessibility.
A region can look well served while one catchment inside it sits far from any capable site.
Sena. Sena maps the capable facilities in each catchment against the population around them and sizes each access gap.
Two areas with matching demographics can hold different demand for a studio, a clinic, or a wellness product.
Sena. Sena captures consented consumer input on activity levels, spending, and preferred formats, so demand reads area by area.
Each decision opens its method page, with the signals Sena reads and the questions healthcare teams bring.
Sena documents the relevant facilities, from infusion centers to specialty pharmacies, and sets capability against the population each one serves.
Decides: Where market access and field teams focus first, and where a care network needs another capable site.
See facility access mapping →Sena counts the nearby fitness and wellness facilities and captures local fitness activity and spending, then sets local demand against the facilities around each candidate location.
Decides: Which neighborhoods support the concept.
See fitness and wellness location intelligence →Sena captures geo-verified photos in pharmacies and reads where each OTC product sits beside the competing products.
Decides: Which pharmacies and territories get the next push.
See in-store competitive tracking →Consumers in the target market evaluate the concept, pack, and price, beside photos of the competing products in local stores.
Decides: Which variant, pack, and price go to market.
See concept testing and launch validation →One therapy area, three to five markets, and a photo behind every facility figure.
Get the access reading →Sena ties every facility count to the capture behind it, so a team checks each access gap site by site.
Each facility reading carries its photo, location, and date, so a capability count rests on confirmed sites.
People share access barriers directly, with explicit consent. Each capture clears a multi-level QA flow before it counts.
An access gap shows how many people each capable facility in a catchment has to serve. Sena counts the capable facilities from geo-verified photos and sets them against the catchment population in the team's own files.
The access gap calculator. Two counts show how many people each capable facility serves.
A walkthrough runs Sena on one therapy area or wellness format in one market, from facility photo to the decision on the table.
Book a walkthrough →Pick the closest fit, and the walkthrough starts from that team's decision.
Facility capability and access gaps for a specialty therapy, by catchment.
Book a market access walkthrough →Where capable facilities sit against the population, and the barriers people in each area name.
Book a health system walkthrough →Concept, pack, and price tested with consumers before launch.
Book a consumer health walkthrough →Candidate locations read against nearby facilities and local fitness activity.
Book a wellness walkthrough →A real Sena reading for one therapy area across three to five markets, with the facility photos behind every figure.
Sena captures geo-verified photos and consumer activity in the markets a question names, when the question needs it.
Sena reads those captures beside the files and systems already in use, across 250+ integrations.
Sena compares the market against the plan and shows each gap, with every figure traced to its source.
| Area | Common method | Sena |
|---|---|---|
| Facility capability | Directory listings of sites | Geo-verified photos of services, equipment, and hours |
| Access gaps | Regional averages from claims data | Capable facilities set against each catchment's population |
| Choice of care | Patient volume by site | Consumers state how they choose a facility and what makes it hard to reach |
| Launch decisions | Launch calls made before the target market weighs in | Concept, pack, and price tested in the target market, beside the competing products in store |
| Auditing | Facility lists reconciled by hand | Each facility figure opens the photo behind it |
Talk to the team about one therapy area, one market, and the decision due this quarter.
Talk to the team →