How to determine which features are needed for an MVP?

We conduct in-depth research to identify the minimum functionality that helps solve your audience’s core problems. The main focus is on validating the key hypothesis. By prioritizing features, we eliminate secondary elements, which allows us to optimize the budget and shorten timelines. This analysis enables verification of whether the solution is viable and meets real demand. We create a roadmap in which each feature brings the product closer to market fit, minimizing unnecessary costs during the prototyping stage through our tailored MVP development services.

What happens if the idea or priorities change during MVP development?

Our methodology is based on agile principles, allowing us to adapt technical requirements to new data. If analysis or interim feedback indicates the need to change direction, we promptly revise the work plan. This helps minimize business risks and adjust the course in time without stopping the process. We refine the strategy to ensure the product remains relevant to the market. Flexible planning ensures MVP viability in a dynamic environment, maintaining a balance between costs and innovation.

How do you ensure product quality and stability?

High quality is achieved through multi-level testing and the implementation of a reliable architecture. We use automated code validation tools and conduct regular system performance audits. Each MVP development stage is accompanied by stability control of both server-side and client-side components. The use of cloud solutions ensures system fault tolerance. In addition, we pay attention to security and data protection, which is critical for SaaS platforms. As a result, you get a stable system ready to handle growing loads.

Will I be able to transfer the product to another team after the MVP?

Yes, we build the system with a focus on transparency. All code goes through an optimization stage and is accompanied by detailed technical documentation. You receive full access to documents and architectural descriptions. We use standard technologies, allowing third-party developers to easily understand the structure of interfaces, APIs, and databases. This ensures full independence and the ability to freely choose partners for further evolution and expansion of your platform.

How is the communication process and reporting organized?

The process is built on principles of transparency and regular reporting of results. We conduct demonstrations of each iteration, providing detailed information about progress. You have access to project management tools where all technical requirements are documented. Our consultation sessions help align strategic steps. This format of collaboration allows for quick adjustments based on insights gained during development, ensuring the product meets your expectations and final business goals.

Do you help with preparing for fundraising or pitching to investors?

We strengthen the project with the technical expertise needed to attract funding. Our team helps prepare a compelling proof of concept (PoC) that demonstrates the feasibility of the idea. We prepare technical arguments for investors, describing growth potential and system resilience. A clear MVP development plan and analytics from initial results become strong arguments during a pitch. Our goal is to show that your business model has a solid technical foundation for attracting capital.

How do you handle confidentiality and idea protection?

Protecting your intellectual property is a priority. Cooperation begins with signing a non-disclosure agreement (NDA), which legally protects your ideas. We implement strict internal security protocols and control access to databases and code. Your unique concept and business strategy remain confidential at all stages of MVP development services. We understand the competitive value of innovation, so we minimize the risk of information leaks, creating a secure environment for developing your project from idea to market launch.

What happens after the MVP launch?

After launch, the stage of gradual MVP product development begins: from refining existing functionality to implementing new modules. Our services focus on data collection and user experience (UX) analysis. Based on feedback from early users, we determine priorities for future versions. We provide technical maintenance and ensure system stability. Our team helps analyze key business metrics and technically prepares the system for increased load, ensuring sustainable growth.

RAG as a Service

RAG as a Service: AI Powered by Your Own Data

Connect your corporate data to powerful LLMs safely. We build custom RAG systems that provide accurate, source-backed answers from your documentation without hallucinations or security risks.

RAG as a Service

Who Needs RAG Solutions

This service is the best fit for you if you’re...

A companyWith lots of internal docs, knowledge, or data
A SaaS, healthcare, fintech, or B2B platform With complex information
A teamConstantly answering the same internal or customer questions
A businessThat wants accurate AI answers based on its own data

RAG as a Service

When RAG Outperforms Generic AI

RAG as a Service

Problems We Solve

"Standard AI models don’t know your business."
"They hallucinate, miss context, or give risky answers."
"We build Retrieval-Augmented Generation (RAG) systems that let AI answer questions only using your trusted data, securely and reliably."

"Standard AI models don’t know your business."

"They hallucinate, miss context, or give risky answers."

"We build Retrieval-Augmented Generation (RAG) systems that let AI answer questions only using your trusted data, securely and reliably."

Benefits

What You’ll Get (Outcomes)

A production-ready RAG system tailored to your data
Secure ingestion of docs, databases, and internal tools
Accurate, source-backed AI answers
Reduced support load and faster decision-making
A scalable knowledge layer for future AI features

Development Process

From Idea to Launch

We keep things transparent and collaborative, always. From discovery to launch, here’s what the process looks like:

.01
Discovery & Planning
Dive into your goals, define the scope, and choose the right tech. You get a clear roadmap and project plan before we start.
- User personas project brief
- Analysis
.02
Design & Architecture
We design clean, user-friendly interfaces and build a solid tech foundation to ensure scalability and performance.
- User personas project brief
- Analysis
.03
Agile Development
We code in sprints with regular updates, demos, and fast feedback loops — you’re always in control of the process.
- User personas project brief
- Analysis
.04
QA & Launch
We test across devices, fix every bug, and handle deployment — ensuring a smooth, secure launch.
- User personas project brief
- Analysis
.05
Support & Growth
After launch, we stay with you — optimizing performance, adding features, and helping your product scale.
- User personas project brief
- Analysis

Strategic Partnership & Value

Why Do Clients Trust Us?

We combine product thinking, AI architecture, and a proactive software dev approach to create solutions that drive business growth.

Product focus
We help choose solutions that truly impact business metrics, not just implement a set of features.
Responsibility for results
We act in the best interest of the business, making decisions focused on performance metrics and scalability.
AI as a foundation
We implement artificial intelligence from day one of product creation to ensure a competitive advantage.
Risk minimization
We identify issues and weak points to reduce their negative impact on timelines, budget, or outcomes.

Client Testimonials

What Our Clients Say

Feedback on how our innovative solutions help achieve business results.

Learn more

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

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