Case Studies

Case Study

Cybersecurity Risk Quantification (CRQ)

Context

Security Insights and Threat Analytics (SITA) is a B2B platform to empower CISO with tools & insights in enterprise security posture, risk quantification & return on security investments.

Need

  • CISOs struggle to connect with Org's Board on security program.
  • Organizations lack agility to detect signals early & act swiftly.
  • CISO's seek consolidated data & actionable insights.

Data Engg & Analytics

  • ETLs to extract events from security products.
  • Data Analytic tools to provide actionable insights.
  • IP developed based on the data from industry frameworks like NIST / MITRE to quantify security risks.
Cybersecurity Risk Quantification (CRQ)

Solution

Consulting:

Phase I is about understanding the user needs.

Product Development:

In phase II, product roadmap was planned & MVP1 was released.

Risk Quantification & RoSI:

In phase III, risk quantification and RoSI models were developed.

Case Study

Voice & Accent Neutralization

Context

A leading transportation outsourcing service provider in US had customer support based in Asia. The company’s clients in US often call the support teams with enquiries related to their cargo.

Need

  • Support staff from different countries had strong influence of native accents in English.
  • This is true for the Customers too as accent changed with geo.
  • Our client wanted to reduce the impact through neutralization.

AI Model Training

  • After model selection, models were tested for the requirements.
  • Of the selected models, we zeroed down on a single model that nearly addresses accent neutralization.
  • FSL training is used to further train and optimize the model for accuracy.
Voice & Accent Neutralization

Solution

Advisory:

Discussion with our client and their customers to firm up the requirements.

Model Selection:

Identify the models, preferably pre-trained that can address the needs.

POCs:

Build POCs to address the need.

Case Study

Language Translation

Context

A leading Cybersecurity company in Colombia, Latin America with a global client base and operations in Colombia and India was assisting clients from different geographies.

Need

  • Its client base includes large Banking, Financial service, and Retail conglomerates in their respective geographies.
  • Often, customer support is needed in the local language.

AI Model Training

  • Pre-trained models were identified for English to Latin conversions.
  • Of the selected models, we zeroed down on a single model that nearly addresses language translation.
  • FSL training is used to further train and optimize the model for accuracy.
Language Translation

Solution

Consulting:

Phase I is about understanding the user needs.

Product Development:

In phase II, POC of the product was tested.

Integration:

In phase III, Integration of the product with Teams was tested.

Case Study
Data, Gen AI & ML – Industry Use Cases
Fintech
Opening savings/current bank account using vernacular language both voice and text-based prompts
Fintech
Enabling KYC and related checks for user verification and validation required for account operations.
Proptech
Real estate price prediction engine based on the historical market prices and the current macro and micro indicators.
BPO – Contact Center
Accent conversion (English – US and UK accents) in real time to provide high quality offshore support.
BPO – Contact Center
Language conversion in near real time to empower agents serve their overseas clients in local/vernacular language.

Product Engineering

Three of our key use cases under product engineering:

Case Study (Product Engineering)

B2B SaaS Optimization Platform

Context

CloudNuro.AI is an intelligent SaaS management platform for preventing SaaS sprawl, bringing observability and actionable insights into SaaS applications.

Need

  • Organizations usually end up buying excessive SaaS licenses.
  • It does have number of unsanctioned SaaS apps and redundant services.

Tech Stack

  • Python, Fast API
  • MS-SQL
  • Google Cloud
B2B SaaS Optimization Platform

Solution

Cloudnuro.ai:

An AI enabled platform is designed for SaaS optimization and observability.

AWS integration:

Samta developed AWS integration module for Cloudnuro.ai.

Case Study (Product Engineering)

B2B SaaS Pricing Prediction Engine

Context

Real Estate Asset Lifecycle Management (REALM) is a cross border investment & management platform to address needs of Non-resident property investors

Need

  • Remote property transactions trigger pain and anxiety among investors.
  • Leasing and managing property can be time consuming.

Tech Stack

  • Python, Django
  • React Native & React Js
  • PostgreSQL
  • NgineX, Gunicorn
  • AWS
B2B SaaS Pricing Prediction Engine

Solution

REALM:

Developed a technology platform (mobile and app) to make property transactions transparent, seamless, and cost efficient by leveraging data, technology.

Case Study
Product Engineering – Industry Use Cases
Fintech
Contributing to development of core banking platform across the technology stack and implementing Gen AI use cases for US based firm.
Edtech
Mental and physical wellness developed for kids to enhance their overall well-being using computer vision.
Proptech
Real estate platform for remote investment and management of properties and entire lifecycle including tenants & assets.
Traveltech
B2C platform to aggregate available inventory in buses across the region in an online marketplace to sell the seats.
Regtech
Building a comprehensive regtech compliance platform to enable BFSI industry be compliant with Govt. regulations.

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