Finlex cuts cloud costs 50% and ships production AI with DoiT
- Over 65%
- reduction in cloud infrastructure costs from 2024 - present
- 40%
- cost savings achieved through improved visibility and efficient AI architecture
As the green energy sector continues to expand, Tel Aviv-based Raycatch developed the DeepSolar™ software to provide solar asset owners with data insights to optimize their photovoltaic plants. Founded in 2015, the company works with major European utility companies including Arava Power, RTR, EDF, and Enlight, and is expanding into China, India, and other markets. Raycatch analyzes existing data streams from solar assets without installing new hardware, using sophisticated algorithms to provide clients with concrete daily action items.
Raycatch faced performance issues with their previous cloud provider including system downtimes, poor Docker support, and disk connectivity problems. Their complex solar asset data analysis system needed to process massive amounts of data within 24-hour cycles, but infrastructure limitations were constraining their ability to scale and serve more clients.
Raycatch migrated to Google Cloud using a lift-and-shift approach with their Dockerized infrastructure. They implemented Google Compute Engine for processing with autoscaling and load balancing to handle peak demands during nightly analysis runs. Cloud Bigtable serves as their NoSQL database for storing and processing solar asset sensor data from thousands of IoT devices.
It only took a day or two, as we had excellent support from DoiT. They examined our existing architecture and helped us to anticipate any obstacles and challenges, which meant the move was more or less frictionless.
Haggai Hofland, CEO, Raycatch
Raycatch uses artificial intelligence to achieve the system efficiency required for daily analysis timeframes. Solar assets can have 10,000 sensors measuring humidity, temperature, and other variables. Each sensor must be tagged and identified, a process Raycatch has automated for speed and accuracy. Cloud Bigtable stores Phase 1 algorithm results and enables faster data fetch for Phase 2 processing, removing previous limitations on data processing volumes.
Raycatch plans to continue expanding AI automation and growing their client base. With Google Cloud eliminating infrastructure bottlenecks, their AI can run on all data with parallelized analysis efforts. This enables them to take on more clients and projects while remaining agile and adapting smartly as they grow. The improved infrastructure has positively impacted their service and product development capabilities.
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DoiT gave us the confidence to move from experimentation to production. They helped us understand the right way to build AI for the real world.
Milad Rezazadeh, CTO
PerfectScale by DoiT has become an important part of how we optimize Kubernetes at scale at OneFootball. It gives our platform team the visibility, automation, resiliency insights, and confidence we need to balance cost efficiency with production readiness, especially as we prepare for major global football moments like the 2026 FIFA World Cup.
Andrea Benfatto, Platform/Cloud Runtime Engineering Manager
Cloudflow's new RDS End of Life alerts have allowed us to be more proactive on keeping our database instances up-to-date. The new solution gives us internal visibility ahead of time so that we can prepare for upgrades, instead of having to upgrade under pressure while incurring extended support costs.
Jon Fairbanks, Site Reliability Engineering Manager
PerfectScale cut 40% off our total EKS spend, and the automations handle what used to take our team 20 hours a month. Now we spend that time on reliability and performance instead of chasing cost metrics.
Caio Cristo, Director of Infrastructure/SRE
What I really like about DoiT's approach is that you're very hands-on and proactive. Satyam would ping me a few times a sprint, letting me know about the most current features, checking in on how things are going. When we are going through a peak time, that proactiveness makes a real difference. Satyam always comes through whenever we need support and helps us leverage the right experts to get us where we need to be.
Chiamaka Ibeme, Engineering Manager, Platform
SELECT has made important cost data readily accessible. I will often pull it up during engineering design reviews so we can quickly evaluate cost impact and projections and factor that into our design decisions.
Douglas Zickuhr, Senior Data Platform Engineer at Personio
I love clicking through SELECT to understand how our environment and workloads are evolving. I probably check it every day. It's coffee and SELECT for me every morning.
Ian Fahey, Senior Analytics Engineer at Loop
You guys have the best UI experience that I've had of any software. It's like you just read my mind where, like, oh, I wish I could click there. Oh, I can
Diana Koshy, Sr. Director of Data Engineering at Kargo
SELECT feels like exactly what Paul and I would have built if we had locked ourselves in a room for 18 months to create our ideal monitoring solution.
Devin McGee, Data Engineering Lead at Home Chef
SELECT dramatically lowers the cognitive load to understanding Snowflake costs. I'm able to sit there and easily understand what's driving the cost. Not to blow smoke up your ass, but it's just so easy to do in your platform
Blake Baggett, Head of Data Operations at Entain
One of the most helpful cost rituals we've setup from SELECT is the weekly spend digest sent to Slack. I can start high level and ensure things are in check. If not, I can very quickly drill down into specific workloads which may have driven the cost spike and remediate them before they become a bigger issue.
Michael Revelo, Manager of data and analytics engineering at ClickUp
Through SELECT's automated savings feature and deep cost visibility, we were able to instantly lower our Snowflake spend by over 40% and achieve a 20X ROI on our SELECT investment.
Skyler Chi, SVP, GTM Productivity & Excellence at Exiger
Our costs had jumped up 3X as we scaled, so we're talking about 60% savings in Snowflake spend after adopting SELECT.
Edward Mancey, GTM Lead at Synthesia
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