Timspark

30/09/2026

A new recognition for our mobile development work 📱

Timspark has been featured in the 𝗚𝗼𝗼𝗱𝗙𝗶𝗿𝗺𝘀 𝗟𝗲𝗮𝗱𝗲𝗿𝘀 𝗠𝗮𝘁𝗿𝗶𝘅 𝗳𝗼𝗿 𝗠𝗼𝗯𝗶𝗹𝗲 𝗔𝗽𝗽 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 in the 𝗨𝗞, in the 𝗠𝗮𝗿𝗸𝗲𝘁 𝗜𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲𝗿𝘀 quadrant.

What makes this especially meaningful is the way the ranking is built — around client feedback, portfolio strength, and independent evaluation.

So this is a good moment to appreciate the work behind every mobile project, and especially the clients who trust us with their products. 💜

Thank you to Goodfirms for the recognition.

30/09/2026

𝗙𝗶𝗻𝗱𝗶𝗻𝗴 𝘃𝘂𝗹𝗻𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝗶𝘀 𝗻𝗼𝘁 𝗲𝗻𝗼𝘂𝗴𝗵. 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝘁𝗲𝗮𝗺𝘀 𝗮𝗹𝘀𝗼 𝗻𝗲𝗲𝗱 𝘁𝗼 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝘁𝗵𝗲𝗺 𝗳𝗮𝘀𝘁 𝗲𝗻𝗼𝘂𝗴𝗵 𝘁𝗼 𝗮𝗰𝘁.

That makes modern vulnerability management as much a 𝗱𝗮𝘁𝗮 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 as a cybersecurity one.

Enterprise security platforms can accumulate millions of records from different sources: vulnerability scanners, asset inventories, threat intelligence, historical findings and security controls.

The more data the system collects, the harder another problem becomes: delivering accurate analytics without making users wait.

If querying and processing that data takes too long, security teams technically have the information — but not necessarily when they need it.

One of Timspark’s cybersecurity projects faced exactly this scalability challenge. The platform needed to handle millions of records while providing near-real-time vulnerability analytics.

The architecture was optimized across several layers: data was migrated from MongoDB to PostgreSQL, queries were redesigned for large datasets, Kafka was introduced for asynchronous processing, and Redis was used for caching.

As a result, queries became 𝗺𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝘁𝗶𝗺𝗲𝘀 𝗳𝗮𝘀𝘁𝗲𝗿, while the platform was able to provide vulnerability analytics in real time.

There is a broader technology lesson here.

Cybersecurity platforms are increasingly also 𝗵𝗶𝗴𝗵-𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗱𝗮𝘁𝗮 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀. Detection is important, but so are data architecture, query performance, processing speed and the ability to turn large volumes of security information into something people can actually act on.

Because a vulnerability detected today but understood too late is a very different thing from a vulnerability that can be prioritized immediately.

Read the case:
https://timspark.com/portfolio/vulnerability-management-solution/

Discover how our vulnerability management solution with continuous security validation and cyber risk analytics improves threat visibility and resilience.

16/09/2026

We’re happy to see 𝗧𝗶𝗺𝘀𝗽𝗮𝗿𝗸 featured in the TechBehemoths 𝗠𝗼𝗯𝗶𝗹𝗲 𝗔𝗽𝗽 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗘𝘅𝗽𝗲𝗿𝘁 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝟮𝟬𝟮𝟲 📱💜

Our 𝗖𝗧𝗢 & 𝗛𝗲𝗮𝗱 𝗼𝗳 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆, 𝗔𝗹𝗲𝘅 𝗠𝗶𝗴𝗮𝗰𝗵𝗲𝘃, shared his perspective on what companies should consider before investing in mobile development.

One of the key ideas: 𝗮𝗻 𝗮𝗽𝗽 𝗶𝘁𝘀𝗲𝗹𝗳 𝗶𝘀 𝗻𝗼𝘁 𝘁𝗵𝗲 𝗴𝗼𝗮𝗹.

The real questions come first: What problem does it solve? Why does the experience need to be mobile? And what value will it create for users and the business?

A successful mobile product also goes far beyond UI and features. Performance, security, scalability, backend architecture, and continuous improvement all matter if you want people to keep using it after launch.

Thank you to TechBehemoths for inviting Timspark to contribute and for bringing different industry perspectives together. 🙌

Read the full article:
https://techbehemoths.com/blog/mobile-app-development-expert-insights

A mobile app can strengthen customer engagement, improve convenience, and support business growth, but only when it serves a clear purpose. In this Expert Insights edition, Alex Migachev...

07/09/2026

Buying advertising across multiple physical locations shouldn’t require endless emails, spreadsheets, and manual coordination.

For this project, Timspark helped develop a custom 𝗕𝟮𝗕 𝗔𝗱𝗧𝗲𝗰𝗵 𝗺𝗮𝗿𝗸𝗲𝘁𝗽𝗹𝗮𝗰𝗲 that allows advertisers to discover, purchase, and manage advertising placements on digital screens at sports venues across the US. 📍

The platform brings the entire campaign workflow into one self-service environment:

• location-based inventory discovery with Google Maps
• campaign creation and scheduling
• media upload and management
• integrated payments
• reporting and campaign analytics
• secure user access and account management

Behind the interface, Timspark also developed a 𝗺𝗶𝗱𝗱𝗹𝗲𝘄𝗮𝗿𝗲 𝗹𝗮𝘆𝗲𝗿 connecting the marketplace with the client’s existing advertising infrastructure. ⚙️

The result is a scalable platform that makes advertising inventory easier to discover, purchase, and manage — while reducing manual work for both advertisers and platform operators.

Explore the full case study:
https://timspark.com/portfolio/adtech-marketplace-development/

Building an 𝗔𝗱𝗧𝗲𝗰𝗵 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺, 𝗕𝟮𝗕 𝗺𝗮𝗿𝗸𝗲𝘁𝗽𝗹𝗮𝗰𝗲, 𝗼𝗿 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻-𝗵𝗲𝗮𝘃𝘆 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝗽𝗿𝗼𝗱𝘂𝗰𝘁?
Let’s talk. 🚀

See how Timspark engineers helped build a custom B2B AdTech marketplace for sports venue advertising, with inventory discovery, campaigns, APIs and payments.

03/09/2026

Turning 𝗟𝗶𝗗𝗔𝗥 𝘀𝗰𝗮𝗻𝘀 into usable 𝗕𝗜𝗠 𝗺𝗼𝗱𝗲𝗹𝘀 can take significant manual effort — especially when teams work with large and complex point cloud datasets.

For an AEC client, Timspark developed a custom AI-powered workflow for 𝗽𝗼𝗶𝗻𝘁 𝗰𝗹𝗼𝘂𝗱 𝘀𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗽𝗼𝗶𝗻𝘁 𝗰𝗹𝗼𝘂𝗱-𝘁𝗼-𝗕𝗜𝗠 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻.

The solution uses supervised machine learning to classify structural elements such as 𝘄𝗮𝗹𝗹𝘀, 𝗱𝗼𝗼𝗿𝘀, 𝘄𝗶𝗻𝗱𝗼𝘄𝘀, 𝗮𝗻𝗱 𝗳𝗹𝗼𝗼𝗿𝘀, validates the segmented data, and converts it into BIM-ready outputs compatible with 𝗥𝗲𝘃𝗶𝘁, 𝗔𝘂𝘁𝗼𝗖𝗔𝗗, 𝗮𝗻𝗱 𝗜𝗙𝗖-𝗯𝗮𝘀𝗲𝗱 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀.

⚙️ The results:
• approximately 𝟬.𝟴𝟱 𝗺𝗜𝗼𝗨 overall segmentation performance
• around 𝟱 𝗺𝗶𝗻𝘂𝘁𝗲𝘀 𝗼𝗳 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗿𝘂𝗻𝘁𝗶𝗺𝗲 on modern GPU environments, depending on the dataset and setup
• reduced manual modeling effort
• faster transition from raw LiDAR data to BIM-ready outputs
• reusable conversion logic for similar Scan-to-BIM projects

The goal was not simply to visualize point cloud data, but to turn it into structured information that could become part of a real architectural and engineering workflow.

Explore the full case study:
https://timspark.com/portfolio/point-cloud-segmentation-bim-conversion/

Working with 𝗟𝗶𝗗𝗔𝗥, 𝗦𝗰𝗮𝗻-𝘁𝗼-𝗕𝗜𝗠, 𝗽𝗼𝗶𝗻𝘁 𝗰𝗹𝗼𝘂𝗱 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴, 𝗼𝗿 𝗕𝗜𝗠 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻?
Timspark can help design and implement a custom workflow around your data and project requirements.

Timspark delivered a custom AI/ML workflow for an AEC client, converting LiDAR point clouds into BIM-ready outputs for Revit and AutoCAD.