# R&D and prototyping

> In R&D, VeriSet A.Ş. researches new technologies, tests them with prototypes and builds solutions that can be used in the future. The goal is to test promising ideas early and cheaply and turn them into working systems.

## What is R&D?

R&D (research and development) is the systematic investigation of new knowledge and technology and turning it into new or improved products, processes and systems.

Prototyping is a way of testing assumptions with real data by building a small, quick working version of an idea. It helps you notice a wrong direction early and move faster in the right one.

## What does VeriSet do in this area?

- **Technology research:** Following and examining new methods, tools and approaches and relating them to real problems.
- **Rapid prototyping:** Turning ideas into testable examples within days to see early what works.
- **Cross-disciplinary experiments:** Work that brings AI, data, software and infrastructure together.
- **Passing on what we learn:** Documenting results from experiments and carrying them into product development.

## Where does R&D help?

The following are typical uses of R&D and prototyping; every piece of work is evaluated separately against its own goal and level of uncertainty.

- **Testing new product ideas:** Seeing whether an idea is technically and user-wise feasible before investing.
- **Technical feasibility:** Measuring whether a specific approach works with the data and infrastructure you have.
- **Evaluating new technologies:** Comparing whether a new tool or method really adds value.
- **Risk reduction:** Clearing up uncertain points with small experiments before starting a large build.
- **Proof of concept (PoC):** Short, focused working examples that prove an idea's core claim.

## Key concepts in R&D

- **Hypothesis:** An assumption written down clearly so an experiment can confirm or refute it.
- **Prototype:** A quick, small working example of an idea.
- **Proof of concept (PoC):** Focused work showing that an idea's core claim is technically possible.
- **MVP:** The smallest usable product released to learn from real users.
- **Feasibility:** Assessing whether an approach is practical technically, in time and in cost.
- **Technology readiness level (TRL):** A scale measuring a technology's maturity from idea to a product proven in a real environment.

## How do we choose the right way of working?

Different sizes of experiment suit different levels of uncertainty.

- **Short spike** — You need a quick answer to a single technical question. *(Results are not product quality.)*
- **Prototype** — You want to see how an idea feels to a user. *(A prototype may need rewriting when turned into a product.)*
- **Proof of concept (PoC)** — It is unclear whether something is technically possible. *(Does not on its own prove scalability or cost.)*
- **Pilot** — You want to try with real users and real data for a limited time. *(Scope and duration should be limited up front.)*

## Common mistakes in R&D work

- **Starting an experiment without writing the question:** If what counts as evidence is not set up front, the result cannot be interpreted.
- **Mistaking a prototype for a product:** A prototype is for learning; production quality has to be built separately.
- **Setting no success criterion:** Without one, the experiment never ends or every result counts as success.
- **Not documenting negative results:** Recording what did not work prevents repeating the same mistake.
- **Keeping the scope too wide:** Small, focused experiments teach faster.

## Checklist before you start

- [ ] What is the one question I want to answer?
- [ ] What will I need to see to say it worked?
- [ ] How long will the experiment take and how many resources will it get?
- [ ] Will it be tried with real data?
- [ ] Where and how will the results be documented?
- [ ] If it succeeds, what is the next step?

## How do we run R&D work?

1. **Research:** We write down the question to be answered and what will count as evidence, up front.
2. **Prototype:** We quickly build the smallest working example and try it with real data.
3. **Build:** We turn a successful idea into a tested, documented product component.
4. **Scale:** We carry the results into a scalable system design and pass what we learned on to later work.

## Frequently asked questions

### What is the difference between R&D and product development?

R&D focuses on reducing uncertainty: it investigates whether an idea will work. Product development turns a solution known to work into a reliable, scalable and sustainable product.

### What is a prototype and why does it matter?

A prototype is a quick, small working version of an idea. It lets you test assumptions with real data before a large investment and notice a wrong direction early.

### What is a proof of concept (PoC)?

A proof of concept is a short, focused piece of work that shows an idea's core claim is technically possible. It is not a full product; it is the answer to a question.

### How does VeriSet run R&D?

VeriSet A.Ş. researches new technologies, tests them with prototypes and builds solutions that can be used in the future. Its work brings AI, data, software and infrastructure together.

### How can I contact VeriSet about R&D?

You can email destek@veriset.org with a short description of the idea you want to test and the question you want answered.

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https://veriset.org/en/research-and-development/ · destek@veriset.org