MindCraft.ai Reviews (11), Pricing, Services & Verified Ratings

Other IT Consulting and SI
Less than $10,000
Mar. - May 2019

5.0

Quality: 5.0

Schedule: 5.0

Cost: 5.0

Willing to Refer: 5.0

"We managed to build effective communication with the MindCraft team."

Aug 8, 2019

CEO, Artua

Sergey Perets

Other industries
Wilmington, Delaware
11-50 Employees
Online Review
Verified

Mindcraft ventured to create a proof of concept (PoC) to provide metrics for an AI program's intent detection.

Mindcraft demonstrated that pre-trained embeddings provide an excellent opportunity to detect user intent via short messages. They exhibited a substantive understanding of machine learning, and there was effective communication throughout. They delivered the desired results in a timely manner.

The client submitted this review online.

BACKGROUND

Please describe your company and your position there.

I’m the CEO of Artua design and development agency. We provide our customers with UI/UX development also mobile app development services.

OPPORTUNITY / CHALLENGE

For what projects/services did your company hire MindCraft?

To build an engine for user intent detection in short text messages.

What were your goals for this project?

To build PoC that will give us an opportunity to obtain possible quality metrics for intent detection.

SOLUTION

How did you select this vendor?

Thanks to the recommendations of the people who worked with MindCraft, also due to the strong focus in Data Science Consulting.

Describe the project in detail.

For the purpose of PoC we choose NUS SMS corpus that is available from Kaggle. We use English-language part. Pretrained ELMO model was used to obtain word and sentence embeddings.

Several intents were labeled in original dataset using active learning approach to minimize labeling efforts. We show that the approach provided reasonable accuracy of intent detection and may be scaled for emerging intents while switching to live message flow.

What was the team composition?

Two data scientists and data engineer.

RESULTS & FEEDBACK

Can you share any outcomes from the project that demonstrate progress or success?

We have proven that pretrained embeddings provide an excellent opportunity to detect user intents is short text messages.

How effective was the workflow between your team and theirs?

We managed to build effective communication with MindCraft team. If was a need, we can have met at any time.

What did you find most impressive about this company?

MindCraft showed their strong knowledge in Machine Learning Area and great focus on clients problem using BA approaches.

Are there any areas for improvement?

The organization structure of the team should be more understandable for the customer and more independent inside the MindCraft. We were forced to confirm each step with MindCraft’s CEO to begin the project phase. Anyway, we obtained the results needed in a short term.

RATINGS

5.0

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Areas for Improvement: Team Independence

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