Projects


No. Project Duration Sector Highlights Status
1 Technical and Business due-diligence of Imperial Auto, a leading Tier-1 auto component manufacturer in India for a proposed equity investment on behalf of Warburg Pincus, a leading global PE firm.
https://warburgpincus.com/2022/03/08/warburg-pincus-to-invest-in-imperial-auto-indias-largest-manufacturer-of-fluid-transmission-products%EF%BF%BC/
3 months Auto components The assignment included a comprehensive technical & Business due-diligence in the areas of
  • competition landscape;
  • assessment of qualitative parameters of the plants;
  • evaluation of customer stickiness;
  • review of existing contracts and agreements;
  • analysis of opportunities and risks with respect to new technologies & products;
  • outlook of business and impact of regulatory landscape;
  • financial due-diligence with respect to sustainability of gross margins and EBITDA.
Completed
2 Cross-border M&A: Identifying of a potential licensee in India for a proposed technology transfer from an established European manufacturer in Construction equipment segment. 18 months Construction equipment The assignment involves three stages
  • Scouting for the right partner to ensure alignment of strategic objectives of both parties;
  • Commercial negotiation and formulation of legal contracts and agreements;
  • Hand holding local partner to establish Product and gain foot hold in the market.
Ongoing
3 A) Product development and Go-to market strategy and B) Sourcing hub activities for Export growth for a leading Precision component maker with integrated machine shop and Foundry facilities based in South India. 5 Years Foundry The assignment with respect to Strategy has two stages
  • Developing a Product strategy, identify suitable products based on clients existing strengths, provide relevant support in shortlisting the products, workshops, technical, quality assessments, market and pricing analysis and help in generating technical specifications for product development;
  • Go-to market strategy involving identification of potential customers based on the identified products, negotiation and deal closure and facilitation in execution of client orders;
  • In addition, through the Mudita’s established partner ecosystem, suitable customers being identified to facilitate the exports. Mudita team is actively supporting Business RFQs generation, discussion between the Parties in Technical and commercial dealings and establish long term relationship.
Completed
4 A) Improvement in Operational efficiency and B) Product development and Go-to market strategy for a leading manufacturer of Auto Control Cables. 3 Years Auto Components
  • The assignment with respect to Operational efficiency involves Identification of gaps in the existing processes, conceptualize and roll out systems and strategies to improve operational efficiency, quality, productivity, and material sourcing optimization. The solution mechanics shall involve designing and implementation of Value analysis and Value engineering, material savings & Cost reengineering besides instituting Quality system improvement strategies and develop low-cost automation solutions.
  • The assignment with respect to Product development strategy involves developing a growth strategy, identify suitable current and adjacent products in Construction equipment space and other suitable new market segments based on existing strengths of the Client, provide relevant support in terms of conducting workshops, technical, quality assessments, market and pricing analysis and help in generating technical specifications for product development. The Go-to market strategy involves providing support in identification of potential customers, support execution through RFQ generation & closure for commercial production.
Completed
5 Improvement in Operational efficiency for a mid-sized Company engaged in the business of manufacturing heavy fabrication components for railways and other sectors based in North India. 12 months Fabrication The assignment involves a deep-dive into the Client’s operations with the objective of improving operational efficiency of manufacturing, quality enhancement, cost optimization and asset management. The process involves development of manufacturing system, Quality management system, Industrial engineering including setting up standards and metrics, material handling, inventory & supply chain management, creation of HR organization through establishment of organizational hierarchy, competency profiling, objective setting and optimum staffing. A robust system is envisaged to be put in place to deliver tangible cost savings and higher productivity on a continuous basis. Completed
6 Multi-dimensional engagement for an upcoming EV Company with respect to launch of Electric Vehicles in the Cargo fleet space (LCV segment). 12 months Automobile (EV) The assignment involves conducting due-diligence on an identified Prospect’s Product Design & Reliability, Assets & Machinery-Mule build & scale up, demand forecasting and identification & evaluation of Alternate Design Licensors/Collaborators with respect to launch of Electric Vehicles in the Cargo fleet space (LCV segment). Partially Completed



Case Studies

Blueprint for an AI-Driven Smart, Lean Digital Plant

Electric Two-Wheeler Automotive Assembly

Client Context

A technology-first electric two-wheeler mobility innovator building a high-end “gadget-on-wheels” ecosystem. The client differentiates itself through software-led design, advanced electronics, and a strong innovation-driven product philosophy.

Strategic Context & Challenge

As manufacturing scale and product complexity increased, the client faced a dual challenge: designing a future-ready greenfield electric vehicle and battery manufacturing facility, while modernizing existing brownfield plants to extract higher value from legacy investments. The ambition was to move beyond isolated automation to a fully integrated Industry 4.0 ecosystem.

Engagement Objective

To design an Industry 4.0 strategic blueprint enabling smart, lean, and scalable electric vehicle manufacturing across both greenfield and brownfield facilities, integrating AI, IoT, and digital twins while maintaining capital efficiency.

Transformation Framework
Greenfield Focus
  • Digital-first plant architecture
  • Integrated Industry 4.0 backbone
  • Smart assembly & battery manufacturing design
  • Built for scale, variants, and future EV platforms
Brownfield Focus
  • Transformation of traditional plants into smart sites
  • AI & IoT overlay on legacy systems
  • Maximizing ROI on existing assets
  • Replicable upgrade blueprint for similar facilities
Operating Model – From Automation to Autonomy
Stage Description
Visibility IoT-enabled sensorization delivering real-time visibility across assets, quality, and energy usage.
Predictability AI-driven analytics enabling predictive insights for quality, throughput, and maintenance.
Autonomy Self-optimizing systems supporting continuous improvement and minimal manual intervention.
Key Enablement Pillars
  • Industry 4.0 strategy and architecture design
  • Digital-first planning before technology purchase
  • Scalable digital platforms for future growth
  • Phased implementation roadmap to manage risk and capital
Value Delivered
  • Strategic clarity before capital commitment
  • Digital-first greenfield execution avoiding costly retrofits
  • High ROI on brownfield assets through intelligent overlays
  • Improved visibility, predictability, and operational control
  • Clear, phased roadmap ensuring execution discipline
Outcome Snapshot

The engagement delivered a future-ready manufacturing blueprint positioning manufacturing as a strategic advantage rather than a cost function. The client gained a scalable, sustainable, and technology-led production foundation aligned with its innovation-driven brand.

Leveraging Unexplored Value

Powering 25 years of engineering plastics moulding heritage with AI intelligence

Client Context

A world-class automotive components manufacturer supplying precision injection-moulded interior parts to marquee OEMs. With over 25 years of founder-led operational excellence, the organization sought to institutionalize tacit knowledge, enable succession, and unlock scalable growth.

Engagement Objective

Harmonize founder intuition with digital systems to create a succession-ready, data-driven, and valuation-enhancing manufacturing enterprise.

Transformation Framework
Succession Roadmap
  • Founder expertise
  • Structured knowledge capture
  • Codified processes & decision logic
  • Next-generation leadership enablement
Digital Transformation Thread
  • Legacy machines
  • IoT sensors & AI vision layer
  • Analytics & predictive intelligence
  • Real-time executive dashboards