Blog Articles
Proactive Analytics on the Canton Network: How Sync Insights Is Changing Institutional Finance
By Taisa Noetzold
The financial sector runs on data, yet the people making the most critical decisions often have the hardest time accessing it. Traders, fund managers, and operations teams are forced to navigate fragmented systems, rely on static dashboards, or wait in line for data analysts to pull reports.
In a highly regulated and fast-moving environment, waiting for data means missing the opportunity.
In a recent episode of Inside the Canton Network, Chata.ai CEO Kelly Cherniwchan sat down with Launchnodes to discuss how we are solving this exact problem. The conversation explored the shift from reactive data retrieval to proactive analytics, and how institutional-grade blockchain networks are leveraging conversational AI to monitor complex infrastructure in real time.
Watch the full episode below.
What the Canton Network Is Saying About Chata.ai
Before Kelly even started the demo, the Launchnodes hosts set the stage with something that speaks louder than any product pitch.
"Chata.ai is one of the top 10 applications on the network, and we understand that many of the Canton team wake up and talk to Chata.ai first to understand what's going on."
— JD, Launchnodes, Inside the Canton Network podcast
That is not a marketing claim. That is the team running one of the most sophisticated institutional blockchain networks in the world describing how they start their day. For a platform built on the premise that data should be instantly accessible to anyone who needs it, there is no better proof of concept.
The Problem with Six Screens Up
Walk onto any trading floor or into any financial operations center, and the visual is the same.
"You walk into some of these operations and you see six screens up, lots of heavy dashboards. Why do you have so many dashboards? It's because you need information readily available... and a lot of the time you may not have the information you want and you're dependent upon somebody to get it for you. Time is money."
— Kelly Cherniwchan, CEO, Chata.ai
Dashboards are excellent for monitoring known metrics, but they fail the moment you need to ask a new question. That gap between the business user and the database is what Chata.ai was built to close. By introducing a conversational interface, users can query the data that is not readily available on their dashboards instantly, without writing a single line of code.
But the real power lies in what happens next. Rather than waiting for a question to be asked, Chata.ai can be configured to monitor data continuously and surface what matters before you think to look.
"You can use the natural language interface, query your data, and then set that up as a proactive alert. It will actually monitor data for you and just notify you if something happens that you care about, or it will run scheduled analytics jobs so that you're better prepared."
— Kelly Cherniwchan, CEO, Chata.ai
The Proof is in the Network: Sync Insights
To understand what is possible with Chata.ai at scale, look at Sync Insights, the analytics layer for the Canton Network powered entirely by our technology.
The Canton Network is an institutional-grade blockchain utilized by organizations like Goldman Sachs and BNP Paribas to handle highly regulated financial assets. In this environment, accuracy and privacy are not optional; they are foundational requirements. Sync Insights operates as a conversational layer on top of this complex, distributed network, tracking fees, validator health, and transaction spikes simultaneously in real time.
The results speak for themselves.
With over 5,000 data requests per day and growing, Sync Insights has delivered more than 400,000 financial insights to organizations on the Canton Network since June 2025, with 100% consistent, repeatable outputs and zero hallucinations.
Zero Hallucinations by Architecture
The reason Sync Insights can make that claim is not a policy or a guardrail. It is a structural property of how Chata.ai works.
"Chata's platform is actually non-LLM based. It doesn't use large language models. We did that purposefully because in large institutions you cannot have hallucinations even 5% of the time, which is industry best, and you can't have hallucinations because if you're making multi-million dollar decisions on data that's being returned that's incorrect, that just doesn't work."
— Kelly Cherniwchan, CEO, Chata.ai
Chata.ai does not generate answers. It generates the database query language, whether that is SQL, MongoDB, or the native language of your specific data warehouse, and the database generates the answer. The query itself becomes the audit trail. Every result is traceable, repeatable, and explainable.
This architecture also solves the two biggest barriers to enterprise AI adoption: cost and data sovereignty.
"The inference model runs on CPU, so it's about 0.2% the cost to run in production. Everything actually gets deployed in the customer's environment... to the point where even myself as the CEO of Chata, I can't even see what that unique data is. It's private, it's regulated, and it's all within the control of the customer."
— Kelly Cherniwchan, CEO, Chata.ai
Build Your Own Proactive Analytics Layer
Sync Insights is a powerful success case, but it is not a closed system. It is a blueprint.
"Chata's platform is actually not an application. It's a developer platform. All the functionality you see here in Sync Insights is all openly available to any other app developers or any institutions that want to utilize it."
— Kelly Cherniwchan, CEO, Chata.ai
The same technology that powers Sync Insights on the Canton Network can be deployed on top of your organization's own databases, data warehouses, streaming data sources, or edge infrastructure. Whether you are a VP of Analytics trying to reduce the reporting workload on your team, or a Data Architect looking to unify fragmented data sources, Chata.ai gives you the foundation to build a proactive analytics layer tailored to your specific environment.
The Launchnodes hosts put it simply when they described what they see Chata.ai becoming across the Canton ecosystem:
"Being so successful... there are an enormous amount of use cases across a whole bunch of different applications and financial institutions where the platform can be employed and add real, tangible ROI."
— JD, Launchnodes,Inside the Canton Network podcast
Stop Reacting. Be Proactive.
The next generation of business intelligence will not require technical expertise, and it will not wait for you to ask the right question. It will meet users where they are, surfacing what matters most, exactly when it matters.
You don't have to settle for reactive dashboards. You can build a system that keeps your team one step ahead.
Talk to our team about building a proactive analytics layer for your organization.
The financial sector runs on data, yet the people making the most critical decisions often have the hardest time accessing it. Traders, fund managers, and operations teams are forced to navigate fragmented systems, rely on static dashboards, or wait in line for data analysts to pull reports.
In a highly regulated and fast-moving environment, waiting for data means missing the opportunity.
In a recent episode of Inside the Canton Network, Chata.ai CEO Kelly Cherniwchan sat down with Launchnodes to discuss how we are solving this exact problem. The conversation explored the shift from reactive data retrieval to proactive analytics, and how institutional-grade blockchain networks are leveraging conversational AI to monitor complex infrastructure in real time.
Watch the full episode below.
What the Canton Network Is Saying About Chata.ai
Before Kelly even started the demo, the Launchnodes hosts set the stage with something that speaks louder than any product pitch.
"Chata.ai is one of the top 10 applications on the network, and we understand that many of the Canton team wake up and talk to Chata.ai first to understand what's going on."
— JD, Launchnodes, Inside the Canton Network podcast
That is not a marketing claim. That is the team running one of the most sophisticated institutional blockchain networks in the world describing how they start their day. For a platform built on the premise that data should be instantly accessible to anyone who needs it, there is no better proof of concept.
The Problem with Six Screens Up
Walk onto any trading floor or into any financial operations center, and the visual is the same.
"You walk into some of these operations and you see six screens up, lots of heavy dashboards. Why do you have so many dashboards? It's because you need information readily available... and a lot of the time you may not have the information you want and you're dependent upon somebody to get it for you. Time is money."
— Kelly Cherniwchan, CEO, Chata.ai
Dashboards are excellent for monitoring known metrics, but they fail the moment you need to ask a new question. That gap between the business user and the database is what Chata.ai was built to close. By introducing a conversational interface, users can query the data that is not readily available on their dashboards instantly, without writing a single line of code.
But the real power lies in what happens next. Rather than waiting for a question to be asked, Chata.ai can be configured to monitor data continuously and surface what matters before you think to look.
"You can use the natural language interface, query your data, and then set that up as a proactive alert. It will actually monitor data for you and just notify you if something happens that you care about, or it will run scheduled analytics jobs so that you're better prepared."
— Kelly Cherniwchan, CEO, Chata.ai
The Proof is in the Network: Sync Insights
To understand what is possible with Chata.ai at scale, look at Sync Insights, the analytics layer for the Canton Network powered entirely by our technology.
The Canton Network is an institutional-grade blockchain utilized by organizations like Goldman Sachs and BNP Paribas to handle highly regulated financial assets. In this environment, accuracy and privacy are not optional; they are foundational requirements. Sync Insights operates as a conversational layer on top of this complex, distributed network, tracking fees, validator health, and transaction spikes simultaneously in real time.
The results speak for themselves.
With over 5,000 data requests per day and growing, Sync Insights has delivered more than 400,000 financial insights to organizations on the Canton Network since June 2025, with 100% consistent, repeatable outputs and zero hallucinations.
Zero Hallucinations by Architecture
The reason Sync Insights can make that claim is not a policy or a guardrail. It is a structural property of how Chata.ai works.
"Chata's platform is actually non-LLM based. It doesn't use large language models. We did that purposefully because in large institutions you cannot have hallucinations even 5% of the time, which is industry best, and you can't have hallucinations because if you're making multi-million dollar decisions on data that's being returned that's incorrect, that just doesn't work."
— Kelly Cherniwchan, CEO, Chata.ai
Chata.ai does not generate answers. It generates the database query language, whether that is SQL, MongoDB, or the native language of your specific data warehouse, and the database generates the answer. The query itself becomes the audit trail. Every result is traceable, repeatable, and explainable.
This architecture also solves the two biggest barriers to enterprise AI adoption: cost and data sovereignty.
"The inference model runs on CPU, so it's about 0.2% the cost to run in production. Everything actually gets deployed in the customer's environment... to the point where even myself as the CEO of Chata, I can't even see what that unique data is. It's private, it's regulated, and it's all within the control of the customer."
— Kelly Cherniwchan, CEO, Chata.ai
Build Your Own Proactive Analytics Layer
Sync Insights is a powerful success case, but it is not a closed system. It is a blueprint.
"Chata's platform is actually not an application. It's a developer platform. All the functionality you see here in Sync Insights is all openly available to any other app developers or any institutions that want to utilize it."
— Kelly Cherniwchan, CEO, Chata.ai
The same technology that powers Sync Insights on the Canton Network can be deployed on top of your organization's own databases, data warehouses, streaming data sources, or edge infrastructure. Whether you are a VP of Analytics trying to reduce the reporting workload on your team, or a Data Architect looking to unify fragmented data sources, Chata.ai gives you the foundation to build a proactive analytics layer tailored to your specific environment.
The Launchnodes hosts put it simply when they described what they see Chata.ai becoming across the Canton ecosystem:
"Being so successful... there are an enormous amount of use cases across a whole bunch of different applications and financial institutions where the platform can be employed and add real, tangible ROI."
— JD, Launchnodes,Inside the Canton Network podcast
Stop Reacting. Be Proactive.
The next generation of business intelligence will not require technical expertise, and it will not wait for you to ask the right question. It will meet users where they are, surfacing what matters most, exactly when it matters.
You don't have to settle for reactive dashboards. You can build a system that keeps your team one step ahead.
Talk to our team about building a proactive analytics layer for your organization.
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