# Sensia

> Smart Building BMS — supervise LoRaWAN / Zigbee / MQTT sensors, import BIM,
> run ISA-18.2 alarms and predictive maintenance, all without an integrator.
> Free plan, ~5-minute onboarding, FR + EN.

Sensia (operated by Mneme-AI) is a next-generation Building Management System
designed for facility managers, property managers and commercial / residential
operators — not integrators. It combines IoT supervision, a 3D BIM digital twin,
ISA-18.2 / EEMUA 191 compliant alarms and AI-driven predictive maintenance in a
single SaaS, delivered without on-site integration.

Hosting in France, GDPR-compliant by design.

## Marketing & product

- [Home](https://mneme-ai.com/): one-page overview of the smart-building BMS
- [Pricing](https://mneme-ai.com/pricing): Free (3 sensors), Starter €49 (15 sensors), Pro €149 (50 sensors, BIM, AI), Enterprise (unlimited, SSO, SLA). BIM digital twin: 1 included from Starter, €149/month per extra twin.

## Solutions (Phase B)

- [Smart Building](https://mneme-ai.com/en/solutions/smart-building): main pillar — supervise a portfolio of buildings sensor by sensor, room by room
- [Predictive Maintenance](https://mneme-ai.com/en/solutions/maintenance-predictive): AI-driven HVAC / plumbing / electrical anticipation
- [BIM + IoT](https://mneme-ai.com/en/solutions/bim-iot): 3D digital twin with sensors mapped onto rooms and floors
- [Multi-site Supervision](https://mneme-ai.com/en/solutions/supervision-multi-site): portfolio-level monitoring with per-site drill-down

## Integrations (Phase B)

- [LoRaWAN](https://mneme-ai.com/en/integrations/lorawan): TTN, Helium, ChirpStack, Loriot — auto-discovery on first uplink
- [Zigbee2MQTT](https://mneme-ai.com/en/integrations/zigbee2mqtt): bridge any Zigbee sensor with auto-classification

## Blog (Phase C)

- [Connect a Dragino LHT52 to Sensia](https://mneme-ai.com/en/blog/dragino-lht52-onboarding): step-by-step LoRaWAN onboarding guide
- [ISA-18.2 / EEMUA 191 alarm philosophy](https://mneme-ai.com/en/blog/alarm-philosophy-smart-building): industrial alarm standards applied to buildings
- [BIM + IoT — 5 use cases](https://mneme-ai.com/en/blog/bim-iot-use-cases): how a 3D twin changes maintenance
- [LoRaWAN vs Zigbee vs Modbus](https://mneme-ai.com/en/blog/lorawan-zigbee-modbus): choosing your building IoT protocol

## Legal

- [Terms of Service](https://mneme-ai.com/legal/terms)
- [Privacy Policy](https://mneme-ai.com/legal/privacy)
- [Cookie Policy](https://mneme-ai.com/legal/cookies)

## Contact & community

- Email: contact@mneme-ai.com
- LinkedIn: https://www.linkedin.com/company/mneme-ai/
- GitHub: https://github.com/elix-ia
- Discord: https://discord.gg/AMAZZq6MWU

## Optional — full content

For an LLM that wants the full marketing context in a single fetch, see
[llms-full.txt](https://mneme-ai.com/llms-full.txt) which concatenates
the landing copy, FAQ and pillar pages as Markdown.