The era of fragmented decisions
The modern labor and education ecosystem is fragmented. People navigate careers blindly, while institutions struggle with disconnected data. We don't just build software; we engineer the connective tissue, synchronizing individual potential with systemic needs. We build digital architecture that connects human potential with system demands.
Key benefits
Our Process
01

Systemic Audit & Discovery
Analysis of processes and architectural limitations.
- Identify bottlenecks and isolated data silos
- Analyze workflows
- Define the architectural roadmap
02

Architecture Design & R&D
Designing compatible architecture and the AI layer.
- Interactive prototype or MVP
- Feedback collection and iterations
- Fast hypothesis validation
03

Digital Ecosystem Development
Agile development of infrastructure and intelligent modules.
- Weekly demos and CI/CD pipeline
- QA automation and documentation
- Transparent development control
04

Integration & Scaling
Seamless deployment into enterprise or public environments.
- Monitoring and incident management
- Data-driven UX optimization
- Scalable and secure infrastructure
Case Studies
Real success stories showing how we transform complex challenges into efficient, scalable, and intelligent solutions.

AI Academic Scheduling Engine
Problem:
Manual timetable creation was highly time-consuming and frequently led to systemic scheduling conflicts.


Real-time AI Insights Platform
Problem:
Data fragmentation and analytics latency delayed critical decision-making processes.

Our Technology Stack
We design systems of explainable AI, intelligent advisors, and decision-support engines for navigating complex processes.
We build integrated real-time data-pipelines that eliminate data fragmentation across educational and corporate systems.
We design fault-tolerant, cloud-native infrastructure that serves as a scalable foundation for global digital ecosystems.
We engineer reliable event-driven backends and APIs to ensure seamless systemic synchronization.
We embed compliance standards, EU digital sovereignty, and deep security protocols into every layer of your architecture.
We automate the lifecycle of ML-models, ensuring production AI remains transparent, governed, and scalable.
Driven by People, Powered by Expertise
Tasha Kravchenko
CEO, CTO
Technology leader with 13+ years of experience in building and scaling software systems — from fintech solutions and AI-driven functionality to complex enterprise platforms. Founder of the CatCoding educational platform for IT engineers. As CEO and CTO, responsible for technical strategy, solution architecture, and engineering culture development. Led cross-functional teams delivering scalable backend and platform systems. Over 10 years of hands-on mentoring and education, creating structured growth frameworks and influencing the development of hundreds of engineers.
- Technical strategy and architecture for complex software systems
- Design and scaling of backend and distributed platforms
- Engineering culture, processes, and team growth
- Product & delivery engineering, AI and automation
- Mentorship and development of engineers and engineering leaders

Why Our Clients Trust Us

Michael Turner
Head of Platform Engineering

Sophia Nguyen
Director of Product

Alex Moroz
Operations Director

Klara Vondrášková
Program Manager

Jonas Richter
CTO
FAQ
Any questions?
Tell us about your challenge — we’ll contact you and guide you through the process
Contact Details
Email: info@neoxora.solutions
Social Media: LinkedIn
What happens next:
- Response within 24 hours
- NDA upon request
- Direct call with an engineer or solution architect





