AI and R&D house

MicroscopeIT is something between a software house and a private research institute. About half of our employees have experience in Academia (and PhD titles to prove it), while the other half come from the industry. We are comfortable doing hard R&D projects, especially those concerning machine vision, machine learning, microscopic image analysis.

 
$5,000+
 
$50 - $99 / hr
 
10 - 49
 Founded
2011
Show all +
Wrocław, Poland
headquarters
  • Kasztanowa 3a-5
    Wrocław, SL 53-125
    Poland

Portfolio

Key clients: 

Aeolus Robotics

IonPath

ClearLight Biotechnologies

Aquascope Project

Innopharma

Analytics Fire

LifeFlow

Check our project with Netguru: http://prettycity.io/

Reviews

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Custom Software Dev for Research Institute

"They did a great job."

Quality: 
4.5
Schedule: 
5.0
Cost: 
4.0
Willing to refer: 
5.0
The Project
 
$10,000 to $49,999
 
Feb. - June 2019
Project summary: 

MicroscopeIT designed and developed a customized image annotation tool for a research institute. 

The Reviewer
 
201-500 Employees
 
Dubendorf, Switzerland
Francesco Pomati
Senior Research Scientist, Eawag
 
Verified
The Review
Feedback summary: 

The product makes processes much faster and is used by the research team regularly. MicroscopeIT was committed to quality, delivering a product designed specifically to meet customer’s needs. Their team communicated effectively and completed the project on time. 

The client submitted this review online.

BACKGROUND

Please describe your company and your position there.

senior research scientist in a federal research institute

OPPORTUNITY / CHALLENGE

For what projects/services did your company hire MicroscopeIT?

development of customised software

What were your goals for this project?

deliver an image annotation tool

SOLUTION

How did you select this vendor?

they were recommended by collaborators at ETH Zurich

Describe the project and the services they provided in detail.

we designed together an annotation tool, which was developed and implemented by MicroscopeIT with regular feedback from our user group

What was the team composition?

3 people at microscopeIT, 3 people in my group

RESULTS & FEEDBACK

Can you share any information that demonstrates the impact that this project has had on your business?

product is online https://www.taxonify.org/, and routinely used by my team. thanks to the software we have stated to train a deep learning based image classifier, which would have taken much longer if annotation would have been by hand

How was project management arranged and how effective was it?

management was good, MicroscopeIT always complied with deadlines and kept constant and efficient communication, the product was delivered on time and on budget

What did you find most impressive about this company?

ability and willingness to understand customer's needs and commitment to openness and quality

Are there any areas for improvement?

They did a great job. software cold be tested a little further before delivery to reduce bugs, but it might have been a problem due to short time and hard deadlines.

4.5
Overall Score
  • 5.0 Scheduling
    ON TIME / DEADLINES
  • 4.0 Cost
    Value / within estimates
  • 4.5 Quality
    Service & deliverables
  • 5.0 NPS
    Willing to refer

Custom Dev for Mixed Reality Medical App

"It was a great and exciting experience to work with MicroscopeIT."

Quality: 
5.0
Schedule: 
5.0
Cost: 
5.0
Willing to refer: 
5.0
The Project
 
$50,000 to $199,999
 
Apr. - Sept. 2019
Project summary: 

MicroscopeIT developed a mixed reality platform that allows users to visualize medical data on organs and cell functions in 4D. The solution would be open source and compatible with HoloLens 1.

The Reviewer
 
11-50 Employees
 
Zurich, Switzerland
Andreas Steingötter
Managing Director, EXCITE Zurich
 
Verified
The Review
Feedback summary: 

The app debuted to positive feedback from medical professionals, particularly for its capacity to display biomedical data in mixed reality. MicroscopeIT led a lithe team of critical thinkers to tackle—and exceed—milestones. Superb project management practices kept all parties aligned on tasks.

The client submitted this review online.

BACKGROUND

Please describe your company and your position there.

The Center for Experimental and Clinical Imaging Technologies Zurich (EXCITE Zurich) is a cross-sectional platform for biomedical imaging to facilitate the development of innovative, experimental and clinical imaging technologies.

EXCITE Zurich advances basic and applied biomedical imaging research. To ensure this effort, EXCITE Zurich supports cross-cutting projects and offers internationally recognized educational programs in biomedical imaging.

OPPORTUNITY / CHALLENGE

For what projects/services did your company hire MicroscopeIT?

For the development of a mixed reality platform (or app) that allows the upload and visualization of segmented 4D medical image data on HoloLens 1 (and hopefully also 2).

What were your goals for this project?

The segmented 4D medical image data contains time-varying 3D spatial information of organ or cell function. This data must be displayed and manipulated in real-time on the HoloLens and also shared by multiple HoloLens users. The app should be open source.

SOLUTION

How did you select this vendor?

During an educational event, we personally met the CEO of MicroscopeIT.

Describe the project and the services they provided in detail.

They developed and helped designing the mixed reality application including detailed documention of project milestones, goals and progress. They organized all project meetings and designed a project webpage, www.essential-vision.org.

They placed and documented the source code of the app in github and generated a user manual for the app. They constructed an interface to convert and integrate (upload) pre-processed medical image data into the mixed reality application.

What was the team composition?

Our stable contact was the CEO of MicroscopeIT himself and a project manager. Both chaired and organized all meetings. Two programmers were permanently involved in the project. The entire team was (permanently) accessible via a web-based project managment platform.

RESULTS & FEEDBACK

Can you share any information that demonstrates the impact that this project has had on your business?

The mixed reality app was demonstrated with great interest and very positive feedback during multiple educational events. Collaborators and institutes are providing various interesting biomedical image data for visualization and demonstration in mixed reality.

How was project management arranged and how effective was it?

Project management was very sleek resulting in an extremely short response time also to changes that were made at short notice. The use of web-based project managment platforms simplified the communication outside scheduled meetings.

What did you find most impressive about this company?

Active and open communication, critical and constructive thinking skills, flexibility in mind and approaches as well as motivation and eagerness were all combined within a small effective team.

The team didn't stop at the pre-specified milestones. The team started thinking ahead making suggestions and presenting options on how to proceed. It was a great and exciting experience to work with MicroscopeIT.

Are there any areas for improvement?

For this project, I cannot specify a particular topic or area that must be improved. The intense use of web-based platforms for management, documentation and communication may require more support for less experienced partners.

5.0
Overall Score
  • 5.0 Scheduling
    ON TIME / DEADLINES
  • 5.0 Cost
    Value / within estimates
  • 5.0 Quality
    Service & deliverables
  • 5.0 NPS
    Willing to refer

Software Dev for Algorithmic Online Poker Game

“Their intellectual ability to process and tackle problems is quite spectacular.”

Quality: 
5.0
Schedule: 
5.0
Cost: 
3.5
Willing to refer: 
5.0
The Project
 
$10,000 to $49,999
 
May - Aug. 2019
Project summary: 

MicroscopeIT engaged in a training period to understand an algorithm-heavy project’s requirements. Their team worked directly with the client to prepare the ANSI C coding of mathematical analysis programs.

The Reviewer
 
1-10 Employees
 
Poland
Software Engineer, Coding Organization
 
Verified
The Review
Feedback summary: 

Despite being an abridged engagement, the collaboration with MicroscopeIT was impressive and productive. Their developers were extremely competent and efficient, and their tech lead demonstrated a remarkable proficiency to familiarize themselves with new architecture.

A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.

BACKGROUND

Introduce your business and what you do there.

I’m part of a two-person team working on an analysis program for poker players. We’re a small and informal organization, so I’m responsible for writing the code and designing everything.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with MicroscopeIT?

Although we have a relatively successful main product offering, we’re only two people. We needed more manpower to execute the many new ideas we have for different products. We’re interested in creating mathematical solvers of different games and were seeking others to help write the code and develop that software.

SOLUTION

What was the scope of their involvement?

We tasked them with writing pure C code—without any frameworks or tools on top of that. The project involved classical, hard-core algorithms that are written in ANSI C. We vastly underestimated the scale of the project, so we’ve now halted all development after a three-month training session.

During that training session, we engaged with MicrosopeIT’s developers who worked to familiarize themselves with our code. They’d directly ask us specific questions about parts of the code without any go-between to avoid any unnecessary delay.

What is the team composition?

We were in touch with managers from different levels, including a project manager. Our main point of contact was tech lead, who wouldn’t write code but oversaw all developments. Otherwise, we directly interacted with the developers during training.

How did you come to work with MicroscopeIT?

I personally knew their CEO, whom I had studied and worked with before. When we met his developers, we could immediately tell from their CVs and past work that they were clearly competent and knowledgeable.

How much have you invested with them?

We spent a little over $30,000.

What is the status of this engagement?

The project lasted from May–August of 2019.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement? 

Although my partner and I decided to forgo the project because of its unforeseen scale, we hold an extremely high opinion of all the developers. If we ever seek more work for any software project, they’re exactly who we’d look for. They’re highly skilled.

How did MicroscopeIT perform from a project management standpoint?

The developers were great communicators, and so were their managers. We were working better and better with each other every day.

What did you find most impressive about them?

Our tech lead also showcased a remarkable learning ability. Our domain is mathematically and programmatically very complex—but he seemed to understand its workings immediately. We were truly amazed by how fast they understood our requirements. Their intellectual ability to process and tackle problems is quite spectacular.

Are there any areas they could improve?

I can’t think of anything. Everything on their side was perfect.

4.5
Overall Score
  • 5.0 Scheduling
    ON TIME / DEADLINES
  • 3.5 Cost
    Value / within estimates
  • 5.0 Quality
    Service & deliverables
  • 5.0 NPS
    Willing to refer

Machine Learning Dev for Software Development Agency

“They were always responsive and attentive to our needs.”

Quality: 
5.0
Schedule: 
5.0
Cost: 
4.5
Willing to refer: 
5.0
The Project
 
$50,000 to $199,999
 
Mar. - Nov. 2017
Project summary: 

MicroscopeIT guided a software development team and helped develop microservices and machine learning models for a third-party. They helped to do research and proposed solutions using the Python stack.

The Reviewer
 
51-200 Employees
 
Warsaw, Poland
Head of Sales, Software Company
 
Verified
The Review
Feedback summary: 

The work pleased the third-party recipient. The agency could not develop the solution without MicroscopeIT’s contributions. They supported the project with their strong expertise and understanding and integrated effortlessly into the agency’s structure.

A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.

BACKGROUND

Introduce your business and what you do there.

I’m a co-founder and the head of sales for a software development agency. I manage new business projects and development.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with MicroscopeIT?

We had a customer that required an advanced solution for which we didn’t have enough experience. They needed an advanced biometric and computer vision solution developed. We needed external help to kickstart the process, tell us which direction to go, and provide us with some fast results.

SOLUTION

What was the scope of their involvement?

MicroscopeIT developers helped us with computer vision and machine learning components for a biometrics solution on behalf of our customer. MicroscopeIT used the same technology stack as us: Docker, TensorFlow, and other standard tools for the Python stack. They helped us develop microservices and machine learning models that we later used for the web and mobile applications developed by our team. MicroscopeIT worked on a specific part of the solution, mostly related to machine learning. They helped us come up with different models and train those models.

The requirements gathering was a collaborative effort. MicroscopeIT did a lot of research on their own, assessed the risks, and proposed multiple solutions to us. We decided together on which direction to take. This was not a standard Scrum project, but more of an R&D one.

What is the team composition?

There were around 15 developers from our side working on the backend, web, and mobile parts. We interacted with 3–5 developers from their team. Not all of them were engaged full-time. They worked in a model that consisted of 1–2 main developers who got advice from people with knowledge in the field.

How did you come to work with MicroscopeIT?

I met one of the owners of the company through the recommendation of a friend. They had very good credentials, having worked for Google in the past. They truly understood the subject matter.

How much have you invested with them?

The cost was around $50,000.

What is the status of this engagement?

We worked with MicroscopeIT from March– November 2017.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

We wouldn’t have been able to kickstart our own team without MicroscopeIT’s help. We were able to do this based on their initial input and help. The customer we developed the solution for is quite happy.

They were always responsive and attentive to our needs. On one occasion, we didn’t properly communicate the expected deadlines, but they delivered on time. We were very happy working with MicroscopeIT.

How did MicroscopeIT perform from a project management standpoint?

They worked closely with our team, which was good. They were self-organizing and plugged into our structure well. We all used Jira, Slack, Google Docs, and GitHub. Using the same set of tools was like working with a remote extension of our team. We’ve met their founders face-to-face, but we generally worked in a distributed manner.

What did you find most impressive about them?

We gave them a very difficult problem to solve, which we weren’t sure was actually solvable. MicroscopeIT was able to provide us with solutions and ideas on how to approach it that worked in the end. They truly understood the subject matter of biometrics, computer vision, and machine learning. This is a rare thing to find in a company.

Are there any areas they could improve?

They’re a small team, and we sometimes felt that we couldn’t get more help from them or that we couldn’t easily increase the team size. It wasn’t a big issue in the end, but I can imagine that it could be a problem for someone looking for a bigger team.

Do you have any advice for future clients of theirs?

It wasn’t a typical agile, end to end project so it was difficult to define its end goal or deliverables. It was a working solution, and we had to use certain parameters to define what success and failure meant. We could’ve found ourselves in the situation where, after a couple of months of development, the outcome was no longer doable. It was important to understand that we can’t always get a 100% outcome.

5.0
Overall Score
  • 5.0 Scheduling
    ON TIME / DEADLINES
  • 4.5 Cost
    Value / within estimates
  • 5.0 Quality
    Service & deliverables
  • 5.0 NPS
    Willing to refer