AI Systems Development
Practical AI solutions for Startups & SMBs
Launch AI features that improve user retention by 37%, cut support by 40%, and streamline operations — across Healthcare, SaaS, Logitech & Supply Chain and Fintech.

Who We Are
AI & ML Services for Startups
At Xedrum, we don’t just build software — we build long-term partnerships.With years of experience, dozens of successful projects, and a team of skilled engineers, we help startups and enterprises grow with confidence. We believe in transparency, quality, and bold ideas — that's why over 98% of our clients stay with us.
- GDPR Data Protection
- ISO/IEC 27001:2019
- ISO/IEC 27001:2022
What We Do Best
Our Core Expertise
From full-cycle development to scalable team solutions – we help you build future-proof digital products.
AI AGENTS & GENAI
Intelligent AI agents and generative AI solutions that automate workflows and create value. Transform your operations with autonomous AI systems.
Proven AI Solutions
More than Development: Our Case Studies
Examples of how the solutions we implement help reduce costs, accelerate launch, and improve key business metrics.
- Web Development
- Mobile Development
- All Example

AI/ML
Mobile App
HIPAA
RAG
AI-Powered Healthcare MVP for Patient Imaging Insights
A New York-based healthcare MVP that helps patients better understand their medical imaging results through AI-assisted explanations in plain, human-readable language.

Mobile App
Social Media
AI/LLM
iOS
Beta
A Berlin-based fashion social mobile app for enthusiasts to share outfits, discover styles, and interact through core social features with AI-powered tagging.

AI/ML
Cloud Infrastructure
AWS
ETL
Data Pipeline
Cloud-Based AI & ETL Platform for Agricultural Machine Learning
A cloud-native system capable of orchestrating AI workloads, managing data pipelines, and storing results for an AgriTech company specializing in machine learning for field crop analysis.

RAG
AI/ML
FinTech
SQL
Azure OpenAI
RAG-Powered Natural Language to SQL for Accounts Payable Automation
A proof of concept using RAG architecture to enable non-technical users to interact with accounting data through natural language queries translated into secure SQL.

RAG
FinTech
Process Automation
AI/ML
UK Compliance
RAG-Powered Process Automation for a Fintech Platform
A RAG-powered automation layer that enables teams to retrieve accurate information, automate internal workflows, and reduce manual processing across finance and operations.

SaaS
MarTech
Node.js
React
PostgreSQL
A high-performance analytics platform that automates marketing reporting by aggregating data from major ad networks into a unified AI-driven intelligence hub.
Client Testimonials
What Our Clients Say
Feedback on how our innovative solutions help achieve business results.

Xedrum delivered a production-ready AI-powered application within the agreed timeline and budget, including a working release on Apple TestFlight. The team was highly proactive in resolving issues, adapting to evolving requirements, and ensuring the AI functionality aligned with real user needs. Throughout the engagement, Xedrum consistently treated the project as a priority and demonstrated a strong understanding of both technical and business concerns.
Celine LeibfriedCEO at Unscripted
Xedrum successfully implemented a robust system that allows users to upload data, execute automated jobs, and retrieve results efficiently. The team delivered all components on schedule, maintained clear communication through weekly and ad-hoc meetings, and demonstrated professionalism throughout. The final solution met both technical and operational expectations.
Tomer PeretzCTO at Osirix
Xedrum's engineers worked closely with the client's project manager, integrating seamlessly into the existing workflow. The team consistently delivered planned milestones, maintained strong communication through regular online meetings, and brought a personal, collaborative approach that made them feel like an in-house AI team rather than an external vendor.
FredericCTO at Touch2Seen
Xedrum operated as an extension of the client's internal team, taking ownership of both delivery and day-to-day execution. Their engineers quickly understood the product context, collaborated across time zones, and proactively contributed ideas to improve the solution. The team maintained consistent velocity, adapted to changing priorities, and helped move the product forward without adding management overhead.
Arnon ZamirCTO at Aristo
Xedrum successfully implemented a robust system that allows users to upload data, execute automated jobs, and retrieve results efficiently. The team delivered all components on schedule, maintained clear communication through weekly and ad-hoc meetings, and demonstrated professionalism throughout. The final solution met both technical and operational expectations.
Richard BatesCEO at Acumen Data
Xedrum delivered a production-ready AI-powered application within the agreed timeline and budget, including a working release on Apple TestFlight. The team was highly proactive in resolving issues, adapting to evolving requirements, and ensuring the AI functionality aligned with real user needs. Throughout the engagement, Xedrum consistently treated the project as a priority and demonstrated a strong understanding of both technical and business concerns.
Celine LeibfriedCEO at Unscripted
Xedrum successfully implemented a robust system that allows users to upload data, execute automated jobs, and retrieve results efficiently. The team delivered all components on schedule, maintained clear communication through weekly and ad-hoc meetings, and demonstrated professionalism throughout. The final solution met both technical and operational expectations.
Tomer PeretzCTO at Osirix
Xedrum's engineers worked closely with the client's project manager, integrating seamlessly into the existing workflow. The team consistently delivered planned milestones, maintained strong communication through regular online meetings, and brought a personal, collaborative approach that made them feel like an in-house AI team rather than an external vendor.
FredericCTO at Touch2Seen
Xedrum operated as an extension of the client's internal team, taking ownership of both delivery and day-to-day execution. Their engineers quickly understood the product context, collaborated across time zones, and proactively contributed ideas to improve the solution. The team maintained consistent velocity, adapted to changing priorities, and helped move the product forward without adding management overhead.
Arnon ZamirCTO at Aristo
Xedrum successfully implemented a robust system that allows users to upload data, execute automated jobs, and retrieve results efficiently. The team delivered all components on schedule, maintained clear communication through weekly and ad-hoc meetings, and demonstrated professionalism throughout. The final solution met both technical and operational expectations.
Richard BatesCEO at Acumen Data

Don't wait — let's talk today.
Hi, I'm Danylo Melnychuk
CEO at Xedrum
Start Your Project
Ready for a Fast MVP Launch? We handle the technical implementation so you can focus on growing your business.









