BI Tool for Property Projects
Installing Big Data-enabled BI Tool in company IT infrastructure allowed analysts to interactively examine business data in near real time as well as equipped them to make faster and better investment decisions

For CTOs and founders who need a clear direction: what to build, on which technologies, with whom, and which risks to accept. You leave with a written recommendation for the next step.







Four questions CTOs and founders bring most often. Every engagement ends with a recommendation.
We map system boundaries, integrations, and failure points before anyone prices a sprint. You get an architecture decision and a risk list. See how to choose a scalable web application architecture.
Python, Django, Node.js, cloud, and the data layer: what your team can still run in 18 months. Criteria are maintenance cost, hiring, and regulation — not framework fashion. Guide: how to choose a SaaS technology stack.
What inflates cost and delays launch: technical debt, supplier lock-in, data, security. You get a clear call: proceed, narrow the scope, or pause before the next step.
We review a supplier proposal, or step in as a part-time CTO when that role is missing. How to keep control: how to choose a software company without losing the architecture.
On the call we cover architecture, technology, vendor choice, or fractional CTO support. You walk away with a recommendation and a risk list.

We start with architecture, technology, and risk. Once the direction is clear, the same partner can move into a build, an audit, or DevOps.
We compare technologies and proposals against your decision — including cases where another partner will do the implementation.
Since 2015: 50+ IT professionals (9 years average experience), 60+ clients, 4.9/5 on Clutch, ISO 27001.
Part-time technical leadership for architecture, technology choice, and supplier selection when you do not have a full-time CTO.
By implementing ISO 27001 and other certifications, we ensure that our software development services are secure, reliable, and compliant with the highest industry standards.





You can trust that your data is safe and secure with our ISO 27001 certification and best practices in security and data protection.
You get piece-of-mind with our QA processes that adhere to the highest standards for delivering enterprise-grade software products.
You can count on us to quickly adjust to changes in your project needs and provide engineering talent with the required skills.
We partner with entrepreneurs, business and technology leaders to bring their innovative software-driven products, processes, and business ventures to life.
Engagements where architecture and data had to be settled before delivery started.
Installing Big Data-enabled BI Tool in company IT infrastructure allowed analysts to interactively examine business data in near real time as well as equipped them to make faster and better investment decisions

Java-based engine to synchronize data from a relational OLTP database into a scalable AWS Redshift OLAP warehouse for more efficient queries processing

Kafka cluster configuration review and consulting services geared towards platform scalability. Data storage infrastructure automation.

Four stages: from an unclear direction to a document you can use internally or with another supplier.
What must be decided: architecture, technology, vendor choice, or the absence of a CTO.
Architecture, contracts, code, and team context — enough to issue a recommendation, not a full audit.
What to do next, a rough cost band, and where the largest threats sit. The call: proceed, narrow scope, or pause.
A written document. The next step can stay with us: fractional CTO, a build, an audit, or DevOps.
When it is still unclear what to build, on which technologies, with whom, and which risks are acceptable. Consulting settles that decision before implementation begins.
If you are still weighing a technology check against a first product, see when a PoC is enough and when it is too early for an MVP.
An audit reviews existing code or a prototype: quality, security, and whether it can be maintained. Consulting is the decision before you start a build or a larger investment — including cases where there is no codebase yet.
If you already have an AI-generated codebase, start with an AI-generated project audit.

