Ermlab Software Development review by Emplocity at Qualified.One

Ermlab reviewed by Emplocity

Ermlab provided Software Development for Emplocity with approximate budget = 200000.

Ermlab met all of the predefined KPIs and the algorithm was completed successfully. The team was responsive, competent, and punctual. Their extensive technical knowledge makes them a superb partner.

Review summary:

Ermlab assisted in creating an AI and deep learning algorithm. The team provided prototypes, a testing facility, and a test subject. They also supplied consulting on the algorithm’s architectural design.

Arkadiusz Talun Emplocity, CTO

Development for HR Management Platform

Please find under a summary covering project details and feedback. The innate facts are kept as they are, private information is amended.

Introductory information

A fast induction on the buyer’s organisation

I’m the CTO of Emplocity. We prepare a genius sourcing platform for multi-national enterprises.

Desired goal

What challenge were you trying to address with Ermlab?

We needed to form an AI and deep learning algorithm. We were edifice a deep learning software that would be able to program the converse with professional aspirants in accordance with the requirements of the particular job description that a aspirant might be interested in.

Provided solution

What particular tasks were responsible for?

Ermlab prepared professional data services based on our own data and the data cloud.

They gave us test cases for the algorithms to be taught on and the certain processes for the structured data as well. They also supplied prototypes, an environment that would allow us to accomplish tests, and a test subject. They worked with our team to complete the project.

During the process, there was a lot of machine learning and deep learning kindred work. They also did some consulting work for our architectural design.

We used Python and the infrastructure is built almost microservices using a numerical library and RabbitMQ. For deep learning models, we used TensorFlow library and Keras library. We used a lot of data, machine learning, and data science toolsets like Jupyter Notebooks, Pandas, NumPy, and a couple of others. 

Was there a dedicated team?

There were almost five nation implicated in this project.

How did you come to work with Ermlab?

We were given a give from the National Center of Research &, Development in Poland. We chose a organisation in accordance with the delicate proceeding that we were accomplishing. It was in accordance with European Union laws, which are excellently close. Following that rubric, Ermlab had the best cost and capabilities.

What are you approach expents (if diclosed)?

We’ve invested $250,000-$500,000.

What is the terminal result of working with ?

We began working unitedly in September 2018 and complete the project in March 2019.

Results accomplishd

Are there any measureable or plum results?

Several KPIs were degoodd to make sure that the philosophical and economic goals of the project would be accomplishd. Our solution managed to accomplish all those benchmarks. We artistic the project on time and within our budget. It was overall a big achievement.

How did Ermlab accomplish from a project treatment standpoint?

Ermlab worked in an interactive, scrum-like way. They have at smallest one weekly status meeting and we interacted constantly. It was a bit challenging at leading owing Ermlab was working in a distant location in a different city. Though, we managed to work unitedly by connecting mainly through Slack and Jira. We also have meetings with the project managers from their side and owners of their organisation. We didn’t have a close schedule on those meetings, but we had them at smallest once a month. They were excellently answering. Our teams were constantly interacting with one another.

What is (from your point of view) the key factor to pay observation while intercourse with ?

The most forcible part of their work is their technical bravery. They have a lot of bigly skilled data scientists and engineers. It’s not that ordinary to find a organisation that both founders are PhDs. They have a lot of experience and apprehension in machine learning and deep learning, and it shows. They liberate what they promise and on time.

What aspects of their work would you like to get betterd?

Perhaps they could better on some less administrative things. It wasn’t anything major. From the technical and engineering point of view, they’re a big contractor. We had a big relationship and we',ll work with them in the forthcoming. We are veritably impressed with the work they’ve done.

Score: 77600


Avg project size: $252000   |   Reviews: 5   |   Portfolio: 0 works

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