Creating magical experiences
problems and create safer, sustainable, and more compelling user experiences.
for drivers and passengers
Check out Success Stories

Android-based RSE for a Global Luxury OEM with Third-Party App Store Integration
for drivers and passengers
Context
Continuous employee learning is essential for companies to stay competitive in a fast-changing business environment. Organizations adopt Learning Management Systems (LMS) to upskill employees, meet compliance requirements, and support career growth. However, existing LMS platforms often act as content repositories rather than personalized learning assistants.
Pain Point
Challenge
Develop an AI-powered LMS that goes beyond course hosting, by:
Goal
Create a smart, data-driven LMS that improves employee engagement, learning outcomes, and workforce readiness while giving leadership clear visibility into training impact.
Outputs
Impact
Context
Continuous employee learning is essential for companies to stay competitive in a fast-changing business environment. Organizations adopt Learning Management Systems (LMS) to upskill employees, meet compliance requirements, and support career growth. However, existing LMS platforms often act as content repositories rather than personalized learning assistants.
Pain Point
Challenge
Develop an AI-powered LMS that goes beyond course hosting, by:
Goal
Create a smart, data-driven LMS that improves employee engagement, learning outcomes, and workforce readiness while giving leadership clear visibility into training impact.
Outputs
Impact
Context
Software teams struggle to diagnose system failures from massive log files. Manual analysis is slow, error-prone, and requires expert knowledge. Root cause extraction from unstructured, noisy logs. Use creative algorithms, LLM prompting strategies, or hybrid heuristics.
Pain Point
Challenge
Build an AI-powered log analytics assistant that can:
Goal
Deliver a working prototype that:
Outputs
Impact
Context
Drivers and passengers spend significant time in vehicles where comfort, safety, and accessibility directly affect satisfaction and well-being. Yet today’s in-car systems remain largely static and manual, requiring users to adjust climate, seats, infotainment, and navigation themselves. With increasing connectivity, AI offers the potential to transform cars into adaptive, intelligent companions.
Pain Point
Challenge
Build a Generative AI-powered cockpit agent that dynamically personalizes the in-car experience based on contextual data such as:
Goal
Deliver real-time, adaptive personalization of:
Outputs
Impact
Context
Automotive software development is highly complex, involving multiple tools (Jira, GitHub, MS Teams, Confluence), distributed teams, and strict compliance standards (ISO 26262, ASPICE). Project managers must continuously monitor tasks, track resources, and identify risks. However, the sheer volume of data across tools makes real-time visibility and decision-making difficult.
Pain Point
Challenge
Build an AI-powered project management assistant that can:
Goal
Enable project managers to see the full picture instantly, automate reporting, and take data-driven decisions on resources and risks without manual effort.
Outputs
Impact
Context
In modern organizations, assembling the right project team is critical to success. Managers must balance skills, experience, cost, availability, and domain expertise, but decisions are often made using intuition or partial information. This leads to suboptimal teams, missed deadlines, or budget overruns.
Pain Point
Challenge
Build a Generative AI assistant that takes as input:
Goal
Enable managers to form the best-fit, economically feasible project teams in minutes, rather than days, while providing transparency into why each recommendation was made.
Outputs
Impact