Tiotai (Team IoT + AI) builds unified infrastructure where every connected device — sensors, pumps, valves, and controllers — is usable by AI agents, not just visible to humans. Currently incubated under CWRDM HYDRONIS, working on Tiotai AQUA.
These are concept-stage modules we want to validate with real villa-community operators during Initiate instead of fully built products. Click on any concept below to expand and view its details.
Currently, every smart device speaks its own language. If you want to check a water valve and pause a pump, you need to open two different apps or build a costly custom integration.
The Model Context Protocol (MCP) changes this. It acts as a universal bridge that translates the language of physical hardware into a standard format that modern AI models understand.
In simple terms: Instead of you clicking buttons on a dashboard, you can simply type a request to an AI. The AI securely uses MCP "tools" to check sensor data and trigger physical actions instantly.
Villa communities and corporate properties are deploying smart devices in rigid silos. Each vendor demands a separate app, support contract, and data format, and none of these systems are built for AI agents.
A typical property development has smart locks, pool equipment, and irrigation systems that cannot communicate, leaving zero centralized visibility.
Existing platforms expose simple visual dashboards for facilities staff, but they lack the interface needed for AI agents to discover and act on devices.
Mid-sized operators and community managers lack the internal capacity to source hardware, manage firmware, and run telemetry pipelines safely.
With CAGR for integration services outpacing hardware, the primary market opportunity is building the software normalization layer that makes existing devices actionable by modern AI models.
We are designing the platform around two execution tracks so it can serve clients at any level of existing digital maturity, backed by an intelligent AI Engine and native MCP support.
For properties with no existing infrastructure. We design, source (leveraging the deep ag-tech hardware expertise of our own Farm21), and commission hardware/firmware configurations from scratch, ensuring seamless telemetry and high physical reliability.
For properties with some devices already in place. We source and standardize third-party hardware across multiple connectivity protocols (LPWAN, cellular, Wi-Fi, and short-range residential protocols like Zigbee, BLE, Matter) into one clean data layer.
Driving automated operations across connected systems:
Every device and data stream on Tiotai is exposed through the **Model Context Protocol (MCP)**. This is the architectural bet behind the whole company: we want to be infrastructure for agents, not just a reporting layer for people.
AI agents (whether ours or a client's own tools) can discover, query device state, pull telemetry history, and safely trigger actions through one standardized interface rather than a custom integration per device type.
Tiotai is currently incubated under CWRDM HYDRONIS, extending our AI-native infrastructure vision into intelligent water systems.
We are working on Tiotai AQUA — extending Tiotai's AI-native infrastructure vision into intelligent water systems. Tiotai AQUA applies the same unified IoT + AI agent architecture to water infrastructure monitoring and management.
Status: Currently under incubation and development
This is the wedge we want to validate first, not the limit of the platform's design. The platform's architecture is intentionally not limited to PropTech — the same MCP/AI layer could extend to facilities management, energy, or municipal use cases later, but we want to prove the model in one concrete, emotionally resonant vertical before expanding.
One unified application and hub for locks, intercoms, gates, and visitor access, removing vendor-specific app requirements.
Vehicle and pedestrian gate control, visitor pre-authorization codes, and secure, logged entry/exit details per residential unit.
Continuous contamination, chlorine/pH level, and leak detection monitoring at both the community infrastructure and individual-unit level.
Centralized community pool monitoring built around child safety, sending instant alerts to facilities staff and registered parents.
Irrigation systems that automatically skip cycles during rain, and smart pump relays that self-manage based on tank levels to prevent dry-run damage.
We are validating our pricing models through real conversations with villa-community operators and HOAs during the Initiate program. Our planned dual-revenue approach balances near-term setup and long-term recurring SaaS value.
One-time integration and setup fees covering initial hardware procurement, commissioning, and onboarding of properties.
A predictable recurring subscription fee for ongoing platform access, telemetry management, and advanced AI features.
Tiotai is structured to complement, not compete with, regional telecoms and global cloud platforms by capturing the managed-operations layer none of them fully own.
| Capability | Tiotai | Local Integrators | Global Cloud |
|---|---|---|---|
| Native MCP (Model Context Protocol) API | Yes (Native) | No | No |
| Bespoke Hardware Build (Track 1) | Yes | Yes | No |
| Legacy Multi-Protocol Ingestion (Track 2) | Yes | Partial | Yes |
| Fully Managed Remote Operations | Yes | Rarely | No |
| Scalable Subscription Model (SaaS) | Yes | No | Yes |
Tiotai is validating early concepts with visionary partners. Partner with us during our idea-stage validation to shape the infrastructure of tomorrow.
This page is structured for machine-readable discovery by LLMs and AI agents. It presents Tiotai's identity, architecture, projects, and relationships in a concise, semantically explicit format.
Connected physical devices (sensors, pumps, valves, locks, HVAC systems) operate in rigid vendor silos. Each device requires a separate app, support contract, and data format. No existing platform makes these devices natively discoverable and actionable by AI agents.
Tiotai builds the unified software layer that normalizes heterogeneous IoT hardware into a single, AI-agent-accessible interface using the Model Context Protocol (MCP).
Tiotai's platform is designed around two execution tracks converging into a unified data and control layer: