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Company Name:

Metric

Incubation Round:

Explore

Application Track:

Track 2

Proposed by:

ALMERYS

Data Provider:

ALMERYS

Challenge Name:

Fraud Detection In Healthcare Reimbursement Transactions

Product Description

TabuLearn helps companies make smart decisions fast. It empowers product and customer teams as well as business analysts with predictive behavioural insights powered by AI. The predictions and insights are automatically extracted from raw data with a single click of a button. Use TabuLearn, to understand what will happened, what will it happen as well as what to do to achieve desired future.

Usage of Standards for data interoperability:

TabuLearn meets the GDPR data processor requirements.

Reach Timeline

*Expose phase is open to all Experiment phase teams

Location:

Armenia

Sector:

Digital Marketing | Finance | Health | Healthcare & Insurance | Retail

Website:

www.metric.am

Company maturity:

Live funding and product-market fit

Investment level:

Seed

Funding raised:

< EUR 200,000

Collaboration opportunity:

Company Description

Metric is an AI software development firm. We build Artificial Intelligence solutions for various industries and use cases. Our portfolio covers products and tools ranging from customer analytics to fraud detection to emotion analysis and text mining. We offer state-of-the-art products for automating insights extraction from raw data, analysing unstructured, textual datasets as well as structuring financial documents.

Hrant Davtyan, PhD

Hrant is the CEO of Metric. He is an experienced AI entrepreneur with almost 10 years of industrial data science experience.

Nare Banduryan, CFA

Nare is a PM at Metric. She is an experienced finance leader and product manager with extensive track of B2B product management.

Haykuhi Davtyan

Haykuhi is a data scientist. She has experience in working with marketing segmentation, lead scoring and anomaly detection tasks.

Aneta Baloyan

Aneta is an ML engineer with experience in AI fairness. She has a track record of working on AI bias detection and mitigation tasks.