Context
Independent real estate agents — whether network-affiliated (IAD, SAFTI, Capifrance) or solo — spend 7 hours per week on admin tasks. A third of their follow-ups are forgotten. Buyer matching is done by gut feeling, in a 12-tab Excel file. Result: lost commissions (averaging 4,200 euros per missed match) and zero Sundays truly off.
The problem isn't that they're bad salespeople. The problem is the mental load when they're not working.
The solution
Nexory handles everything that runs through an agent's mind — capture, memory, reminders, matching — so they can focus on what they do best: relationships, instinct, negotiation.
Capture in 3 seconds
A LeBonCoin listing on the subway? iOS Share → Nexory. The URL is parsed, the property is created, photos are pulled. Zero manual entry. Compatible with LBC, SeLoger, BienIci, PAP.
Automated follow-ups
Each prospect has their cadence. Nexory triggers follow-ups at the right time, suggests the right SMS/email template, the agent just validates. 92% of follow-ups sent on time (vs 64% average without tooling).
Semantic buyer matching
Not just budget + surface area. Floor, energy rating, garden, renovation needed — the score is refined continuously. As soon as a new mandate comes in, Nexory surfaces matching buyers, ranked by score. The CRM becomes a revenue generator.
Pipeline and daily management
- Kanban pipeline: drag-and-drop between stages, automatic history
- Integrated calendar: Google/Apple sync, address + GPS in one tap, daily route
- 12 templates: calibrated real estate SMS and email, auto-personalization
- Mandates and e-signatures: compliant archiving, read notifications
- Weekly reporting: every Monday, a 90-second summary
The numbers
| Metric | Before Nexory | With Nexory | | ------------------------ | ------------- | ------------ | | Mandate creation | 18 min | 4 min 22 | | Follow-ups on time | 64% | 92% | | Mandates signed / month | baseline | +31% | | Prospect → first contact | 2.8 days | < 24h |
Technical architecture
The backend is a NestJS API with Supabase (PostgreSQL + auth + storage + realtime). The web frontend is Next.js deployed on Vercel. The native iOS app in Swift communicates via the same REST API.
Semantic matching uses a weighted scoring system beyond simple SQL filters — strong criteria vs nice-to-haves, weighting by search history, real-time scoring on each new mandate.
Data hosted in France. GDPR-native. French real estate regulation (Hoguet) compliant.
Business model
Three plans, transparent pricing:
- Solo (29 euros/mo): 50 mandates, unlimited capture, auto follow-ups, matching
- Pro (59 euros/mo): unlimited mandates, semantic matching + alerts, priority support
- Team (49 euros/mo/seat): shared pipeline, auto lead distribution, SSO, 4h SLA
14-day free trial, no credit card required.
Tech stack
| Category | Technologies | | ---------------- | ------------------------------------------------------ | | Web Frontend | Next.js, React, TypeScript, Tailwind CSS | | iOS App | Swift, UIKit | | Backend | NestJS, TypeScript, Supabase | | Database | PostgreSQL (Supabase), Redis | | Auth and Storage | Supabase Auth, Supabase Storage | | Payment | Stripe | | Infra | Vercel (web), Supabase (backend), FR hosting | | Integrations | LBC, SeLoger, BienIci, Google Calendar, Apple Calendar |