About Edge2XAI

Edge2XAI is an industry-led initiative focused on enabling universities and research groups to translate embedded systems and AI research into deployable Edge AI solutions.

We work closely with academic institutions to:

• Bridge theory, research, and hands-on engineering
• Align academic innovation with real-world Edge AI system requirements
• Prepare students and researchers for deep-tech and product-focused careers

Our expertise spans:

• Embedded Systems & Firmware
• TinyML & Edge AI
• Low-Power, Secure, and Scalable AI Systems

Rationale for Collaboration

National and international research ecosystems increasingly emphasize industry relevance, technology transfer, talent readiness, and measurable societal and industrial impact.

Edge2XAI partners with universities to complement research funded through leading national agencies and industry-sponsored programs—ensuring outcomes extend beyond publications to working systems and prototypes.

Edge2XAI complements research supported by organizations such as:

• DST, ANRF, and SERB
• MeitY, AICTE, and UGC
• BIRAC, iDEX, and national innovation programs
• Sponsored research and CSR initiatives from semiconductor and technology companies

Core Collaboration Focus Areas

1. Edge AI & TinyML Research

• TinyML on MCUs and Edge SoCs
• Edge vision for healthcare, industrial, and automotive systems
• Low-power and energy-efficient AI
• Secure Edge AI systems (secure boot, OTA, model protection)

2. Prototype & System Development

• Research-driven Edge AI prototypes
• Hardware–software co-design
• Model deployment pipelines on constrained devices
• Proof-of-concept systems aligned with real-world use cases

3. Courses & Curriculum Enablement

• Industry-aligned Edge AI and Embedded AI courses
• Guest lectures, workshops, and bootcamps
• Curriculum inputs based on current industry practices
• Hands-on labs and capstone project definitions

4. Mentorship & Talent Development

• Mentorship for UG / PG / PhD students
• Guidance on problem formulation and system-level thinking
• Exposure to industry workflows and product development

5. Consulting & Applied Research

• Joint feasibility studies and applied research
• Industry problem statements mapped to academic research
• Support for technology transfer and commercialization

Engagement Models

• Faculty-led research collaborations
• Student projects, theses, and internships
• Sponsored labs, pilot projects, or centers of excellence
• Short-term workshops and long-term strategic partnerships

Engagements may be short-term (3–6 months) or long-term (1–3 years), depending on scope and objectives.

Roles & Responsibilities

Academic Institutions

• Lead research and academic supervision
• Provide research infrastructure and student participation
• Drive publications, theses, and academic outcomes

Edge2XAI

• Define industry-relevant problem statements
• Provide system architecture and engineering guidance
• Mentor research teams and validate prototypes
• Support transition from prototype to deployable system

Outcomes & Value for Academic Institutions

• Joint publications and technical reports
• Functional Edge AI prototypes and demo systems
• Industry-ready student talent
• IP creation and commercialization opportunities
• Transparent IP ownership and licensing through MoUs
• Strong industry linkage for funded research
• Enhanced student employability and startup outcomes
• Long-term partnership in a strategic technology domain

Edge2XAI welcomes collaboration with faculty, research groups, and institutions working on Embedded Systems, AI, and Edge Computing.

📧 info@edge2xai.com

Let’s build the next generation of Edge AI engineers and systems—together.