HydroNeo is an IoT-driven aquaculture technology company that helps fish and shrimp farms monitor and manage their operations through web and mobile applications.
Its platform gives farm operators visibility into multiple ponds, including real-time water monitoring, alerts, and automated controls. Teams can use HydroNeo to understand what is happening across their farms and respond when conditions require attention.
But while operational data lived inside HydroNeo, the conversations around that data did not.
Farm workers and managers were coordinating through external tools such as Microsoft Teams and Slack, creating a disconnect between the information teams needed to act on and the conversations they were having about it.
The challenge: farm communication was happening outside the platform
Aquaculture operations are highly context-dependent.
A problem affecting one pond may only be relevant to the workers and managers responsible for that pond. At the same time, farms also need broader conversations that involve the entire operation.
HydroNeo needed a communication system that could support both.
The platform required:
Pond-specific conversations
For teams working on individual ponds
Farm-wide communication
For broader operational discussions
System-generated alerts
That could be delivered directly into relevant conversations
AI-assisted responses
Triggered when users mentioned a bot
A searchable communication history
That managers could use to review past conversations and resolve disputes
Without in-app communication, teams had to move between HydroNeo and external messaging platforms to coordinate their work.
That meant alerts and operational context could become separated from the conversations they were supposed to inform.
The solution: communication organized around the farm
HydroNeo chose CometChat to bring real-time messaging directly into its existing platform.
The implementation allows HydroNeo to create group conversations for individual ponds, giving workers a dedicated place to discuss issues related to a specific part of the farm.
Alongside those pond-level conversations, teams can also use a farm-wide group chat for communication that affects the broader operation.
This gives HydroNeo a communication structure that mirrors how farms actually work: conversations can stay focused when an issue affects one pond while still allowing information to reach the wider team when necessary.
Turning farm alerts into conversations
HydroNeo also needed its monitoring systems to participate in the communication workflow.
Its backend can use CometChat's APIs to send system-generated alerts directly into chat conversations. When a pond requires attention, the relevant information can reach the people responsible for responding to it in the same place where they can discuss what to do next.
Instead of an alert existing separately from the team's communication, the alert becomes part of the conversation.
This creates a clearer path from:
monitoring data → alert → team discussion → action
Adding AI assistance to farm conversations
HydroNeo also explored using CometChat's webhook capabilities to connect its own AI bot to conversations.
When a user mentions the bot, the event can trigger HydroNeo's backend and generate an automated response.
This gives farm teams another way to access information without leaving the conversation, while allowing HydroNeo to control the intelligence and logic behind the bot.
Building accountability into everyday communication
For HydroNeo, chat history was also important.
Farm managers needed a way to review past conversations when questions or disputes arose between workers and management.
By bringing communication into the HydroNeo platform, conversations can remain connected to the operational context in which they happened.
Teams also gain access to messaging capabilities including attachments, threaded conversations, quoted replies, read receipts, typing indicators, polls, and media sharing.
The impact
HydroNeo is replacing fragmented communication across external tools with a messaging layer built directly into the platform farm teams already use to manage their operations.
Pond-level coordination
Workers can communicate in dedicated conversations tied to specific ponds.
Farm-wide visibility
Teams can also use broader group conversations for operational discussions.
Faster responses to issues
System-generated alerts can reach the relevant people directly inside chat.
Faster responses to issues
System-generated alerts can reach the relevant people directly inside chat.
Communication stays connected to operations
Teams no longer need to switch between HydroNeo and external messaging tools to discuss farm activity.
AI-assisted conversations
Users can trigger HydroNeo's AI capabilities directly through chat
A searchable audit trail
Conversation history gives managers a record they can review when resolving operational questions or disputes.
Room to expand
The same communication foundation can support future use cases, including bringing external specialists such as veterinarians into conversations and adding voice or video assistance.
For HydroNeo, chat is not simply another feature inside the app. It connects the monitoring data, alerts, and people responsible for running a farm, turning operational information into faster, more contextual conversations and action.
