WHAT WE OFFER

OUR SERVICES & PAST CLIENTS

OUR SERVICES

GIVEN OUR DIVERSE RANGE OF STUDENT TALENT, WE OFFER SERVICES IN BOTH BUSINESS AND TECHNICAL AREAS

SALES & MARKETING

Strategy Development

Brand Positioning

Primary Research

Go to Market

Product Launch

Campaign Development

MARKET RESEARCH

Industry Overview

Market Trends

Competitor Analysis

Consumer Research

Market Landscape

Opportunity Analysis

AI/ML & DATA ANALYTICS

Model Development

Data Engineering

Feature Engineering

Data Collection/Cleaning

ETL Processes

KPI Tracking

SOFTWARE DEVELOPMENT

App Development

Full-Stack Development

Web Development

UI/UX Design

Software Design

Cloud Computing

SELECT CLIENTS

A LOOK AT THE WORK WE'VE DONE FOR CLIENTS IN THE PAST

Our team provided recommendations on integrating machine learning and artificial intelligence to automate and ease interactions between Google employees and customer service agents to revolutionize the company’s internal help desk pipeline.

Our team identified how Lamborghini can leverage their sustainability efforts within marketing to attract Gen Z customers. We conducted market research, consumer studies, and impact assessments to create actionable marketing strategies presented to the Americas CEO.

Build an AI-powered assistant that supports design teams by automating the discovery, analysis, and application of UX research insights. The assistant will operate as an intelligent layer between designers and SAP’s research ecosystem, accelerating decision-making and reducing manual eﬀort in the early planning stages of UX design.

Our team created a proof of concept for a backend machine learning based security information and event management (SIEM) solution (specifically the threat detection component).

Our team conducted market research to determine best use cases for Lenovo’s new line of AI PCs and developed models for multiple of the identified use cases and deployed them on Lenovo’s AI PCs.

Our team conducted market research on hardware and software preferences of AI practitioners for Nvidia’s product management team to improve their products.

Our team conducted global consumer research
for artist Bad Bunny and ideate
marketing strategies to accelerate his growth internationally, pinpointing two ideal countries for
expansion.

Our team built an exploratory data analysis notebook in Python that a data scientist can leverage using the
latest functionality of the Databricks Lakehouse Platform.

Our team conducted market research to build a framework for execution of an internal cybersecurity consulting branch.

Our team developed a centralized, secure, and user-friendly dashboard to efficiently manage and retrieve various case types for AMD’s legal team, leveraging Azure resources.

Our team created an MVP mobile application for construction workers, including a Login Workflow, Analytics Dashboard, and UI/UX design.

Analyzing techno-economic regulatory and cybersecurity analysis for Volkswagen’s potential entry and expansion into bidirectional electric charging

Automate energy reports for internal employee awareness using a RAG model. Create a cloud-hosted end-to-end pipeline that scrapes relevant energy sources and embeds them for retrieval.

To evaluate how the rapid adoption of AI workloads is transforming the requirements, performance expectations, and deployment strategies for data storage by the hyperscalers—specifically comparing the impact on Hard Disk Drives (HDDs) and enterprise Solid State Drives (eSSDs). Additionally, how is this impacting overall data growth compared to the past few years, and what changes have been made to data retention requirements over time?

Our team worked to update Patagonia’s current Social Media Engagement Playbook, understand what KPIs make content successful and engage with younger audiences to encourage climate change activism.

Our team analyzed the economic impact of the Ryder Cup on host cities within the USA, including but not limited to short and long term job creation, infrastructure, and tourism.

Our team researched trends within microservice architecture and provided five recommendations for applicable use cases in the fast- moving consumer goods industry.

The Wellness Agent is a mobile app that uses AI to plan and schedule personalized activities, think hiking, walking, and trail running. These are coordinated off a user’s preferences, realtime calendar availability, and other factors such as weather conditions. Built on Oracle 26ai, the app will showcase core platform capabilities (AI vector search, relational tables, JSON Relational duality views, SQL/PGQ property graphs) within a single solution: a multi-agent system powered by LangGraph and Oracle’s A2A protocol (orchestrating the planning workflow). The final deliverable will present a fully functional React Native app and a self-service Oracle LiveLabs workshop with heavy documentation for customers and developers to realize the full power of Oracle 26ai.

This project aims to design a data driven strategy to improve video playback quality by analyzing Pinterest’s playback, device, network, and engagement data. The team will build an interpretable clustering model to segment users into video viewing environment profiles and propose optimized serving policies for each group, supported by offline simulations. The goal is to reduce startup latency and rebuffering while maintaining or improving engagement, and to deliver an integration plan and experiment design to validate the approach.

This project focuses on developing a strategic proposal for Novartis’s “Big Idea” initiative aimed at revolutionizing cardiovascular disease prevention. We are exploring the creation of a “Heart Score”: a gamified, data-driven metric that empowers individuals to monitor and improve their heart health through wearable integration, AI insights, and ecosystem partnerships.

This project aims to monetize underutilized real estate surrounding Fenway Park by developing a high-yield, mixed-use district inspired by successful peer organizations. By analyzing local demand and benchmarking top-tier stadium developments, the study will identify the optimal mix of retail, residential, and hospitality assets to maximize revenue and create a premier, year-round destination.

Our team researched trends within microservice architecture and provided five recommendations for applicable use cases in the fast- moving consumer goods industry.

Our team designed, and wrote content for the AI Documentation Portal, an internal site to host AI-related documentation in a centralized place. This is built mainly for Data Analysts and Data Scientists but can be accessed by any Intuit employee.

AWS launched its European Digital Sovereignty service to help European organizations securely store sensitive data. This project will conduct market research through interviews with cloud management teams across a diverse set of companies — varying by AWS usage, geography, and data security maturity — drawn from an existing user database. The goal is to identify limitations and blockers preventing adoption, uncover vulnerabilities in current usage and management practices, and deliver strategic recommendations to expand the service's reach and success.

This AI Research project aims to close the gap between lightweight models and state-of-the-art deep research systems. By replacing unstructured web search with a Knowledge Graph–driven RAG architecture, we enable smaller models to perform structured, multi-step reasoning on curated domain knowledge. We are building an open-source framework and benchmarking suite to demonstrate that high-quality reasoning can be achieved without massive computational overhead.