Universities and Research Institutes Lose Grants: Research Simulations Needed
Grant committees and science foundations today evaluate not only research results, but also the infrastructure on which they are obtained.
Competition applications increasingly require demonstrating the digitalization of science: virtual experiments, digital twins of installations, and the ability to access laboratories remotely. Without this, even a strong team loses to more technologically advanced applicants.
The reality for most universities and research institutes is outdated equipment and limited access to experimental test beds. Some experiments are physically impossible to conduct safely or quickly; others require consumables and travel.
As a result, young researchers move where they can work with modern tools, while publications and applications fall short of competitors’ standards.
This creates a vicious cycle: no virtual laboratories — fewer grants, fewer prestigious internships and industrial partners, and thus fewer resources for development.
Yet simulations are exactly what allows expanding research capabilities without purchasing expensive physical test beds — multiplying the number of experiments and attracting funding based on the project’s innovativeness.
We close this gap. We develop corporate metaverses and VR/AR applications for research simulations: university staff get a full digital copy of the laboratory, and management gets a strong argument for grant applications and partnership programs.
Implementing such projects shows experts that the organization is keeping pace with cutting-edge science and is ready for a new level of research.
What a Virtual Laboratory Will Give Your Institution
A virtual laboratory gives researchers what ordinary practice lacks — the freedom to experiment without constraints of time and equipment. Complex processes can be run repeatedly, parameters changed, and results seen immediately, rather than after weeks of preparation.
For the university, this is a measurable acceleration of the research cycle: in the same time, the team manages to run several times more experiment series.
Acceleration directly converts into publications. More data and validated hypotheses — more articles in specialized journals, which means stronger grant applications and higher positions in scientific rankings.
At the same time, costs for physical equipment decrease: some laboratory test beds are replaced with digital models that require no reagents, maintenance, or premises. The freed budget is redirected to truly unique research that cannot be conducted virtually.
There is also a distinct value — the organization’s prestige. A virtual laboratory becomes a compelling argument in conversations with applicants and their parents: it shows that the university keeps pace with modern science.
It works the same way for partnerships — industrial companies and foreign research groups are more willing to discuss joint projects with an institution that has up-to-date digital infrastructure.
In the end, the digital environment solves three tasks at once: it accelerates research, reduces costs, and strengthens reputation.
We help launch such a laboratory turnkey — from choosing scenarios to integrating it into the educational and research process, so you get the result without distracting your team from core work.
Simulation Formats for Different Tasks
Before launching simulations at a university or research institute, it is important to understand what task the project solves: preparing students to work on real equipment, enabling them to conduct experiments, or exploring the behavior of an entire system.
Each format — a virtual simulator, a virtual reality laboratory, or a digital twin — addresses its own need, so the choice begins not with technology but with the question “what should change for the user after working in the simulation.”
| Format | What tasks it is for | What it gives the university or research institute |
|---|---|---|
| Virtual equipment simulator | Training on machines, instruments, medical and laboratory installations | Students gain practical skills before entering production, without risk of breakdowns or injuries |
| Virtual reality laboratory | Experiments hindered by physical space constraints: expensive reagents, rare materials, hazardous conditions | Laboratory work is available around the clock, independent of material consumption and queues |
| Digital twin | Analysis and forecasting of the behavior of a real object, workshop, or production line | Researchers test hypotheses without stopping production, see risks, and optimize processes |
To decide quickly, go through three points. First: what action is repeated by the user? If it is always working with a specific instrument — choose a simulator; if it is a whole sequence of measurements and conclusions — choose a laboratory.
Second: is there a need for connection to real data and enterprise processes? Then it is a digital twin. Third: who will work in the environment — first-year students, master’s students, or research staff? The scenarios and interface depend on this.
The good news: the formats do not exclude each other. A client can start with a training simulator and then add a digital twin for the research part.
During a consultation, we help assemble a combination tailored to the department’s tasks and implementation timeline — just describe the problem, and we handle the rest.
Stages of Creating a Virtual Laboratory
Implementing a virtual laboratory is a project where it is important not only to achieve the result but also to control it at every stage.
We have designed the process so that you always know what is happening with the project, what decisions are being made, and what deadlines are being met — with no “black boxes” or surprises.
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Brief and task immersion. We study your tasks, educational goals, and simulation audience. We identify which experiments need to be reproduced and which scenarios are critical for learning.
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Concept and technical proposal. Based on the brief, we shape the image of the virtual laboratory: scenario composition, interface, equipment requirements. You receive a detailed description of the solution and a work plan.
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Approval and scope fixation. We approve with you the concept, the estimate, and the timeline. We fix control points — this eliminates changes “along the way” and disputes at the finish.
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Development of the virtual environment. We create the virtual laboratory: object models, interaction physics, experiment logic. We work iteratively — you see intermediate versions and make edits before the final stage arrives.
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Testing with teachers and students. We test the solution on real users: usability, simulation correctness, load on equipment. We collect feedback and refine the interface.
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Launch and support. We install the system on your equipment or arrange access through a server. We train staff and stay in touch — we update scenarios, add new experiments, and quickly resolve technical issues.
At each stage, you receive clear reports and participate in key decisions. This approach avoids rework and delivers a laboratory that truly serves the educational process — on time and without unnecessary costs.
What You Get After Project Delivery
After project delivery, the university or research institute receives not just an application, but a ready-made solution for research and educational processes.
We hand over the entire package of materials and knowledge so your team can independently use and develop the simulation.
How the project handover works and what is included in the package:
- On delivery day — a fully configured and polished solution, deployed on the client’s equipment or in cloud infrastructure.
- Source materials and complete technical documentation — for making changes by your own specialists.
- User and administrator manuals in English — with instructions for all roles and typical scenarios.
- Staff training — practical sessions for teachers, lab assistants, and system administrators.
- Technical support — for the entire period of operation: consultations, update support, and refinement of necessary modules.
Project results are recorded in acceptance reports and checklists, so you know exactly what you have received. Staff training is conducted before the official launch so that employees start work already possessing practical skills.
And technical support remains with you after delivery — we answer questions and help adapt the simulation to new research tasks.
In the end, you get a working tool that improves research quality, accelerates student training, and gives the university independence in managing the project.
Case Study: Virtual Trainer for a Research Center
When a scientific laboratory approached us, its staff had spent years conducting hazardous experiments on real equipment. Each launch of the installation required hours of preparation and carried risks for researchers.
Management was looking for a way to safely practice scenarios without losing data accuracy — and ordered a virtual trainer.
We created a digital copy of the experimental installation that fully reproduced the controls and physical parameters.
The Applied Physics Research Institute received an environment where lab assistants train in virtual reality headsets: they perform launches, change modes, and analyze readings. The equipment does not wear out, and a mistake costs not a repair but a minute of restart.
Within six months, the number of hazardous experiments on the real installation decreased by 60%. Researchers moved part of the routine checks entirely into the trainer, freeing up time for applied tasks.
The results were noticed beyond the institute as well: two industrial partners became interested in the platform and signed an agreement for joint projects.
For the university, this is not just resource savings, but new development opportunities. The trainer became part of educational programs and a commercial product that generates revenue.
We are now developing the platform for other departments — from chemistry to medicine — and each new scenario pays off faster than the previous one.
What This Means for Your Project
If your staff spends hours preparing experiments or faces risks, we can move key scenarios into a safe environment. You will get a measurable result: lower resource costs, more protected research, and new partnerships.
Frequently Asked Questions About Implementing Virtual Solutions
We know that before implementing virtual solutions in a scientific or educational environment, many questions arise — from timelines to cost and guarantees.
To make your decision easier, we have collected answers to the most common questions asked by university and research institute leaders.
How does the implementation of virtual solutions in a university or research institute proceed?
We start with a briefing: we analyze which experiments or scenarios need to be implemented and what tasks your research groups are setting. Then we create a prototype that we test together with your specialists, and only after approval do we move to full development.
Implementation does not require replacing equipment — existing computers or headsets are sufficient, and if necessary, we help choose suitable ones.
How much does it cost to develop a research simulation?
The cost depends on the complexity of the scenario, the level of detail of the virtual space, and the number of interactions. After the brief, we prepare an estimate broken down by stages with precise deadlines, so you can see what you are paying for.
Special conditions are available for universities and research institutes — often the project can be split into grants or phased financing.
What happens if something breaks? Is there a guarantee?
Yes, all developed solutions come with a warranty period. It includes bug fixes, updates for new tasks, and technical support on request.
If after launch you need to refine a scenario to meet changing requirements — we are nearby, and this is always cheaper than ordering a new development.
Who will train staff and teachers?
We conduct training for your team: we show how to launch simulations, manage scenarios, and use features for result analysis. All materials remain with you, so new employees can get up to speed without our presence. Teachers do not need to be programmers — the interface is adapted for regular users.
How suitable are virtual technologies for real scientific tasks?
Virtual simulations have long been used for safe experiments and for studying processes that are difficult or dangerous to reproduce in reality. With their help, students and researchers gain practice without risk and without unnecessary material costs.
Such solutions are already used in laboratories and deliver measurable results: increased engagement, reduced preparation time, and experiment repeatability.
Let’s Discuss Your Project and Prepare a Proposal
Research and student training require clarity and safety that real experiments do not always provide.
VR and AR simulations allow conducting virtual experiments without risk and expensive equipment — but how do you choose the right format and avoid overpaying for unnecessary features?
We can help you figure it out. Leave a request on our website — we will analyze your task for free, propose the optimal solution, and calculate the cost. Here is what happens after you contact us:
- We conduct a free consultation: we listen to your task, research goals, and expected results.
- We study the context: number of users, required equipment, integration requirements with existing systems.
- We propose a format — VR, AR, or a combined scenario that solves your specific scientific or educational task.
- We prepare a cost and timeline estimate: a transparent estimate with no hidden payments or fine print.
- If necessary, we show examples of similar projects for universities and research institutes — so you understand what the result will look like.
- We document the proposal in writing: after the consultation, you receive a document describing the solution and the budget.
No obligations — the consultation and preliminary calculation are free. Even if you are not yet sure that VR/AR suits your laboratory, simply tell us about the task — together we will find a way to solve it. Leave a request, and we will contact you soon.
How to Choose a Solution That Fits Your Organization?
First of all, it is worth determining what task the simulation solves: student training, preparation for real experiments, or demonstrating research capabilities.
The format depends on this — from a short scenario lasting several minutes to an environment where groups work on a common task. A scientific simulation should not just look impressive; it must produce a reproducible result that can be used in practice.
When choosing a contractor, pay attention not to the list of technologies, but to the ability to understand your scientific field.
A good partner knows how to translate the language of a research paper into user-friendly scenarios: what happens on screen, which parameters change, which data is recorded.
Experience in the educational environment matters no less — for universities and research institutes, it is critical that the solution integrates into the curriculum rather than existing separately.
Ask the contractor how they measure the effectiveness of their developments: how engagement growth, material retention, and speed of completing laboratory work are measured.
The indicator is not hours in virtual reality, but a measurable result — reduced experiment preparation time, fewer errors, and the ability to practice actions that are dangerous or expensive in reality.
What also matters is how the contractor supports the project after launch: who updates scenarios, what happens when equipment changes or new data appears. Ask how you will train teachers and students and who is responsible for technical support in the first months. These answers will show whether the simulation becomes a working tool or remains a demo video.
At truetech.by, we have gone through this journey with dozens of educational and research projects. We start by immersing ourselves in your task, formulate scenarios and success criteria together with your experts, and then design a solution that is actually used.
If you want, we will send examples of how we helped institutes turn research hypotheses into working simulations.