Avoguard in 2025: New Year, New Direction
At Avoguard, we try to start every year with a blank page. We review last year's technological progress and cherry pick the ideas that will add the most value to our customers. For years now, we've been hearing about various possibilities of applying machine learning and natural language processing in the IoT space. During the same time, our customers have been told there is value in gathering troves of proprietary data.
While AI has progressed significantly, it hasn't yet allowed companies to meaningfully interact with their data. Companies around the world have been told for years now that there is "gold" in their proprietary data. Only a few of them have been told how to extract the gold from the dirt, and given the tools to do so.
With the recent AI advancements, we have the opportunity to build a new kind of data miner who doesn't mind digging through the dirt to find the gold! The miner is called EdgeChat, and it could be a new member of your data analytics team.
Why We Built EdgeChat
Time and time again, I witnessed talented business leaders and decision-makers waiting days or weeks to get answers from their data teams—not because the data teams were slow, but because they were overwhelmed with other requests and juggling too many priorities. This created a bottleneck which affected organizations' ability to make timely decisions. I knew there had to be a better way.
That's why we created EdgeChat: to expand your company's capacity to analyze data. EdgeChat gives everyone in your organization the power to analyze data, regardless of their technical background.
Our vision is simple but ambitious — What if you could just talk to your data? What if you could ask your data questions in plain English and get immediate answers?
EdgeChat Features, Architecture, and Interaction Example
How EdgeChat Works
We've developed EdgeChat to be intuitive and natural.
You simply type your question—like "What were our sales last month?" or "Show me the trend in customer complaints"—and EdgeChat handles the complex data analysis behind the scenes.
It produces answers as text, tables, or charts, which can be turned into dashboards, periodic reports, or triggers for notifications.
No SQL, no Python, no complex Excel formulas. Just straightforward and clear answers to your questions.
What Sets EdgeChat Apart
In developing EdgeChat, we focused on several key principles that I believe are crucial for any modern data analysis tool:
- True Accessibility: Anyone can use EdgeChat without training. If you can formulate a question in English, you can now analyze data.
- Speed to Insight: Get answers in seconds instead of waiting days or weeks.
- Privacy-First: Your data stays on your premises. We believe you shouldn't have to choose between powerful AI capabilities and data privacy.
- Enterprise-Ready: Deploy EdgeChat however you prefer — on premise on dedicated desktop or server hardware, in your private cloud, or in a public cloud of your choice, operated by you or Avoguard.
Try EdgeChat Today
I'm thrilled to announce that EdgeChat is now available for you to try. We've made it easy to get started with a demo account—simply visit our sign-up page and experience firsthand how EdgeChat can help you make data-driven decisions for your business.
The demo is structured around a sample data set of a delivery company, following our foundational analogy of Avoguard being a data delivery company. You can ask questions about performance, cost, metrics of the vehicle fleet, and the delivery drivers. The question format is not limited. You can have a simple chat, ask for comparisons, or ask for visual representation of the data. EdgeChat answers are only limited by the data it has access to.
For organizations interested in a full deployment or those with specific needs, my team and I are available to discuss how EdgeChat can best serve your organization. Visit our contact page to start the conversation.
Looking Forward
We have an exciting roadmap and are committed to continuously improving EdgeChat based on your feedback and needs. Our sights are set on collaborative editing of the generated dashboards, reports, and notifications, as well as interfacing with existing tooling like Grafana.
I believe that making data analysis accessible to everyone, no matter their technical skill, is crucial for the future of all businesses, and I'm excited to have you join us on this journey.
Join us in transforming how organizations interact with their data. Try EdgeChat today and experience the AI-powered future of data analytics.
What are the next steps for Avoguard?
Sign up and stay tuned, we'll keep you posted. We are going to be periodically publishing more about how our products solve challenging data analytics problems, along with more details about the product features and solutions for specific verticals.
You can also follow us on LinkedIn, or follow me, Avoguard's founder, on Medium and LinkedIn.