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Frequently asked questions
Answers to the questions we hear most about Clarify.
What Clarify is
Why not just set threshold alarms?
A threshold is easy to set up, but it floods you with alerts. What is normal differs between sites and changes over time, so a fixed limit like 10 degrees gives you alarm fatigue instead of insight. Clarify lets your experts define what actually matters, site by site.
Can't we just send our sensor data to ChatGPT or Claude?
Your AI will never be better than the data you feed it. Raw, millisecond-resolution sensor data means nothing to a language model; it has no understanding of your production. Clarify turns that data into events and metrics an AI can work with, so you can ask your phone which of your sites is performing worst and get a real answer.
We already have a data lake. Why do we need this?
A data lake is only as good as what flows into it. Fill it with raw, unformatted sensor data and you are no closer to solving your business problems. Clarify cleans the stream as the data flows, so what lands in your lake is something you can actually use.
Do we have to replace Power BI, Snowflake or our data lake?
No. If you have Snowflake, you get better data in Snowflake. If you have Power BI, you get better data in Power BI. Clarify adds value to the stack you have already invested in; it does not compete with it.
Is Clarify another dashboard?
No. Dashboards show you the data; Clarify works on it before it gets there. We sit between the chaos of the physical world and the tools your people already use, and send them clean, meaningful data.
What does Clarify actually do?
Clarify turns the raw data from your sensors and control systems into events your team can act on: a stress event in a fish tank, a drone in your airspace, a pipe that needs cleaning. We do it in three steps. First you take ownership of your data, then your experts build software robots that turn noise into signal, and our engineers work alongside you the whole way.
Why Clarify
Yes. We work alongside you, and we drive out to your sites. You talk to the people who build the product, not a call center somewhere else.
No. The people who know your process best, such as your biologists, maintenance engineers or analysts, bring the domain knowledge. Our team brings cybernetics, data science and a decade of industrial experience. Together we build the robots that do the manual work for them.
Many of our customers tried that first. Large consultancies tell a good story, but they often come top down without understanding the industrial reality, and the projects stop without results. We have worked on factory floors since 2013, and we build on your data and your experts
Building a dashboard is easy, and it can feel like progress. The hard part is turning high-volume, chaotic sensor data into reliable signals at scale, and keeping it running. That is a software product in itself. Unless you sell software, it is not where your team should spend its time.
Getting started
New equipment is when good data matters most. Clarify helps you see whether the investment works as intended, improve how you run it, and document the results to your board and owners.
You do. Many vendors in this space have an unclear relationship with who owns the data and what they can do with it. With Clarify, you have full ownership and control, and you can export your data at any time.
That is why we start small, with a pilot on your own data and a result you can measure. If it doesn't work for you, you keep your data and can take it elsewhere.
With one specific problem and your actual data. We find the smallest thing we can demonstrate that proves this is more than talk, for example detecting stress events in your tanks. Once that works, you can take on the next problem on the same foundation.
fit
Our roots are in the ocean industries: aquaculture, shipping and maritime, and defence. Customers include Salmon Evolution, Eide Fjordbruk and IINO Lines. In defence and ocean robotics, we work with Maritime Robotics, Eelume, Biodrone and Blueye Robotics. The technology works anywhere you have sensor or time-series data.