Find the right opportunity
Assess business challenges, available data, feasibility, potential value, and risk before committing to a build.
Discuss your need ↗AI Solutions Hub
Northeastern helps organizations identify valuable AI opportunities, build and test custom solutions, and prepare them for real-world deployment.
Bring us
01Prioritized roadmapClear opportunities assessed for value, feasibility, data readiness, and risk.
02Working prototypeA practical solution stakeholders can test with real workflows and data.
03Path to deploymentTechnical direction, responsible AI practices, and knowledge transfer for what comes next.
Choose your starting point
Start with the need that matters most. We shape the technical approach and engagement around your goals, data, constraints, and internal capabilities.
Assess business challenges, available data, feasibility, potential value, and risk before committing to a build.
Discuss your need ↗Turn a priority use case into a proof of concept or working prototype that stakeholders can evaluate.
Discuss your need ↗Design and develop an AI application around your workflows, users, data, security requirements, and technology environment.
Discuss your need ↗Strengthen an existing prototype through engineering, integration, testing, deployment planning, and MLOps.
Discuss your need ↗What we deliver
We combine applied AI, data engineering, software development, and responsible AI practices to create solutions your organization can use and sustain.
Extract, classify, summarize, search, and reason across contracts, reports, policies, transcripts, and other unstructured information.
Use historical and real-time data to forecast demand, assess risk, prioritize work, and support better operational decisions.
Reduce repetitive work with AI-enabled intake, routing, grading, scheduling, reporting, and human-in-the-loop review.
Build secure assistants, conversational interfaces, analytical tools, and full-stack applications designed for your organization.
Why Northeastern
The AI Solutions Hub brings together applied AI professionals, faculty, researchers, graduate students, and co-op talent to help organizations move from complex AI challenges to solutions that can be tested, deployed, and sustained.
Draw on expertise across generative AI, natural language processing, computer vision, machine learning, data engineering, and responsible AI.
Work collaboratively with experienced AI professionals, researchers, faculty, and emerging technical talent aligned around your organization’s challenge.
Apply research-backed methods in practical settings, with the engineering, deployment planning, and knowledge transfer needed to move beyond experimentation.
Applied AI in action
Representative work across real estate, infrastructure, healthcare, finance, manufacturing, professional services, and the public sector.
Self-Serve Analytics
Built for a property management organization overseeing approximately 30,000 housing units and adaptable to complex reporting workflows across industries.
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Financial services
An experiential approach brought AI strategy, workforce learning, and applied projects together to help the community bank build capability and better serve its customers.
Read the case study ↗
Insurance
A data roadmap, value-driven AI solutions, and workforce training helped the insurance partner create a clearer path toward sustained data and AI capability.
Read the case study ↗
Healthcare and life sciences
The AI Solutions Hub helped Radiolife validate a clinical-grade AI diagnostic platform for rapid infectious-disease detection.
Read the case study ↗
Technology and data
Northeastern and Inrupt explored how organizations can responsibly use personal data for valuable AI applications while users retain ownership and control.
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Manufacturing
Northeastern helped the organization build a five-year digital-transformation roadmap connecting strategy, data, technology, and workforce priorities.
Read the case study ↗How we work
You work with one integrated team throughout the engagement, with practical checkpoints and knowledge transfer built into delivery.
Define the challenge, users, desired outcomes, data, constraints, and measures of success.
Assess feasibility and create the technical, responsible AI, and delivery approach.
Develop and test iteratively with regular input from your team and end users.
Prepare the solution for your infrastructure, integrations, governance, and security needs.
Transfer knowledge and equip your team to maintain, use, and extend the work.
Applied AI leadershipMeet the expert
Director, AI Solutions Hub
Omer leads a multidisciplinary team of AI experts, data scientists, and data engineers. Working with students, faculty, and researchers, the team helps organizations turn AI strategy, data opportunities, and emerging technologies into practical solutions that can be tested, deployed, and scaled.
Explore how Northeastern University’s Institute for Experiential AI helps organizations move from experimentation to production with real-world AI solutions that deliver measurable impact.
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