One partnership lead
A Northeastern University partnership lead connects the appropriate teams, expertise, and talent.
Northeastern University Enterprise Accelerator
Enterprise Accelerator coordinates customized training for employees and leaders, graduate project teams, and applied AI expertise around your priorities. Begin with one focused need, add capacity without relying on hiring alone, and expand only when another capability adds value.
What Enterprise Accelerator provides
Enterprise Accelerator is designed for organizations whose priorities span people, projects, and technology. Northeastern University coordinates the work around shared goals instead of treating each engagement as a separate transaction.
A Northeastern University partnership lead connects the appropriate teams, expertise, and talent.
Start with a focused priority and establish a practical sequence for the work ahead.
Engage graduate teams backed by faculty and technical experts for defined, time-bound work.
Add upskilling, new projects, or technical development as priorities evolve, with knowledge transfer that helps your team sustain the work.
Ways to work with Northeastern University
Enter through the capability that addresses your most immediate need. Enterprise Accelerator can coordinate two or more workstreams when a broader partnership will produce a stronger result.
Upskill
Northeastern University's Custom Learning is live, instructor-led training co-designed around your organization’s tools, priorities, data, and real work, so employees and leaders learn by applying new skills.
Build
Working Labs pair interdisciplinary Northeastern University graduate students with faculty advisors and technical experts for time-bound projects with tangible outputs, while adding capacity without requiring a permanent hire.
Solve
The AI Solutions Hub helps organizations assess opportunities, prototype ideas, build custom solutions, and prepare them for deployment.
How to engage
Enterprise Accelerator does not require an organization to purchase every capability at once. The partnership begins with a focused need and expands only where additional support makes sense.
Define the challenge, desired outcomes, people involved, current capabilities, data, and constraints.
Determine which combination of learning, graduate project talent, and applied AI expertise is appropriate.
Establish clear scopes, teams, timelines, responsibilities, and deliverables for the initial work.
Use findings from one workstream to inform the others, then add support based on demonstrated needs and results.
One possible pathway
Every partnership is different. This example shows how the capabilities can connect when an organization needs to prepare its people while advancing a specific AI opportunity.
Prepare leaders to evaluate AI opportunities and guide adoption.
Explore Custom Learning →Use an FDE engagement to assess the need, define requirements, and determine feasibility.
Explore FDE scoping →Use a Working Lab to explore a defined project and produce tangible outputs with a supported graduate team.
Explore Working Labs →Advance the strongest opportunity through the AI Solutions Hub when deeper engineering is needed, with support for integration, deployment, monitoring, and knowledge transfer.
Explore the AI Solutions Hub →Selected results
Examples from custom training, graduate project teams, and applied AI engagements.
Reported by participants following applied generative AI training.
A recommendation engine improved new-product conversion for a financial-services partner.
A data and AI roadmap prioritized opportunities for a high-technology manufacturer.
The Northeastern University network
Enterprise Accelerator connects organizations with faculty, graduate talent, and applied teams across Northeastern University's 14-campus network, regardless of location or industry. Select a campus to explore examples of graduate programs, faculty expertise, and industry connections. These are concentrations, not geographic limits.
Boston connects partners with faculty, researchers, and graduate talent across AI, health, life sciences, engineering, business, and responsible technology.
Governance, risk, evaluation, and responsible deployment.
Clinical, biomedical, pharmaceutical, and public-health expertise.
Faculty and graduate talent spanning technical disciplines.
Learning and organizational support for technology adoption.
The Roux Institute brings together applied AI engineers, faculty, graduate talent, workforce learning, and an innovation ecosystem built around organizational needs.
Scope opportunities, prototype ideas, and develop applied AI solutions.
Engage supported graduate teams for defined, time-bound projects.
Train employees and leaders around their tools and business context.
Connect with founders, researchers, employers, and regional partners.
Arlington supports defense and national security work as well as broader industry partnerships across the National Capital Region. Organizations can begin with the pathway that best fits their goals.
Defense and security
Connect with talent, programs, and research relationships suited to defense, national security, and dual-use priorities.
DC-area industry partners
Engage Arlington and the broader Northeastern network for workforce learning, defined graduate projects, and applied AI work.
Silicon Valley contributes graduate talent in AI, computing, data, and project delivery. Oakland adds strengths in biotechnology, business analytics, semiconductor engineering, public policy, and sustainability. Organizations can draw from either campus and the broader Northeastern University network.
Artificial intelligence, computer science, data science, analytics, and information systems.
Biotechnology, bioinformatics, analytics, business analytics, and information systems.
Information systems, business analysis, project management, and technology implementation.
Semiconductor engineering, public administration, public policy, and sustainability and climate change policy.
Toronto connects organizations with graduate talent and programs in applied AI, analytics, information systems, data architecture, software engineering, biotechnology, bioinformatics, regulatory affairs, project management, and logistics.
Analytics, conversational AI, cybersecurity, and data-informed operations.
Biotechnology, bioinformatics, regulatory expertise, imaging, and responsible data use.
AI, software, information systems, and analytics applied to organizational challenges.
Project management, applied logistics, workforce development, and experiential projects.
Seattle contributes graduate talent in artificial intelligence, computer science, analytics, data engineering, information systems, electrical and computer engineering, robotics, economics, and project management.
Artificial intelligence, computer science, software concepts, and intelligent systems.
Analytics, data analytics engineering, data architecture and management, and information systems.
Electrical and computer engineering, robotics, automation, sensing, and intelligent systems.
Economic analysis, project management, technology planning, and complex implementation.
Start the conversation
Tell us about the priority, project, or capability you are working through. We can help determine whether Enterprise Accelerator or one focused Northeastern University engagement is the right place to begin.