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Innovations Lab
Build. Connect. Grow.
LatentView’s platform for university partnerships and early talent development in AI and analytics.
Who We Are
Innovations Lab is LatentView’s university and early-talent initiative, connecting academia with industry through partnerships, applied learning, and pathways.
Our mission is to help students build real-world capability while helping universities strengthen career readiness and industry relevance.
Built on Three Pillars
Program Highlights
Built for measurable outcomes
67%
conversion from fellow to full-time consultant
8
Tier-1 university partners across North America
90 days
to professional readiness through structured training
For students ready to build what matters
Talent Accelerator Program
A flagship pathway within Innovations Lab
For students and early-career talent ready to move beyond theory, Talent Accelerator offers hands-on experience, mentorship, and exposure to real AI and analytics work. Students build practical skills by gaining exposure to meaningful challenges across AI, analytics, and consulting.
What you will work on
Build AI-driven workflows using modern frameworks
Solve business problems using machine learning and analytics
Connect enterprise data with GenAI applications
Work alongside experienced teams to translate technical work into business value
Meet the Team
Led by practitioners focused on learning and impact
Zellina Padilla
Innovations Lab Program Lead
“Our goal is to create an environment where curious, driven individuals can learn quickly, build meaningful solutions, and grow into impactful contributors from day one. If you’re
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Parijat Banerjee
Innovations Lab Program Sponsor
“The best things in life are free and the best experiences ought to be invisible… you shouldn’t even notice them because they’re so seamless,” — this was the motto when we initiated the Innovations Lab program in the US.
Read MoreUniversity Partnerships
Partner with us to make learning more applied and industry-connected
We partner with universities to make learning more applied, industry-connected, and career-relevant through practitioner-led experiences and early talent pathways.
How we collaborate
- Guest lectures and industry talks
- Capstone and practicum projects
- Workshops and technical sessions
- Case competitions and challenges
- Early talent pathways
Our Global Network of Partner Universities
Santa Clara
University
University of
Minnesota
University of
Cincinnati
University of
Chicago
North Carolina State University
Santa Clara University
University of Minnesota
University of Cincinnati
University of Chicago
North Carolina State University
Voices from the Program
Real experiences. Real impact.
"I didn't just learn AI; I built it."
I developed a multi-agent system using LangGraph that pushed the boundaries of what’s possible in production. This was a career launchpad, not an internship.
Intern
Gen AI Engineer
"Real problems. Real solutions."
Integrating HubSpot with Google Gemini required a deep dive into ADK and MCP. The Lab gave me the tools to solve actual global business problems.
Student
UMass Amherst
Join the Innovations
Lab ecosystem
Whether you’re a university or a student, Innovations Lab offers a clear path to connect, build, and grow.
"*" indicates required fields
Join the Innovations Lab ecosystem
Whether you’re a university or a student, Innovations Lab offers a clear path to connect, build, and grow.
"*" indicates required fields
FAQs
01. What kinds of partnerships does Innovations Lab offer?
We collaborate through guest lectures, workshops, capstone projects, case competitions, and structured early-career pathways.
02. Can partnerships be tailored to our institution?
Yes. Engagements can be shaped around academic priorities, student cohorts, and program goals.
03. How can we get started?
Reach out to the Innovations Lab team to explore alignment and define the right collaboration model.
01. What is the Talent Accelerator Program?
The Talent Accelerator Program is a flagship pathway within Innovations Lab designed to develop talent in applied AI and analytics through hands-on experience, mentorship, and real-world exposure.
02. What kind of work will I be doing?
You’ll work on real-world business problems, including machine learning, data analysis, and AI-driven solutions across industries.
03. Who should apply?
Students or recent graduates with backgrounds in data science, computer science, engineering, statistics, or related fields who are interested in applied AI and analytics.
04. What skills are you looking for?
We look for strong problem-solving ability, programming familiarity, foundational knowledge of analytics or machine learning, and an interest in business problem-solving.
05. Do I need prior industry experience?
No. We’re looking for strong fundamentals and a willingness to learn.
06. Where is the role based?
Roles are typically based in the candidate’s home location within the U.S. and follow a distributed model.
07. Will I need to relocate?
Relocation is generally not required for early-career roles, though occasional travel may be expected depending on project needs.
08. How is the program structured?
The program includes hands-on project work, mentorship, and structured learning designed to build both technical and consulting skills.
09. Will I receive training?
Yes. Participants receive structured 90-day training along with ongoing mentorship.
10. What happens after the program?
Participants transition into full-time roles within LatentView and continue to grow through client engagement and on-the-job learning.
11. Is this a paid role?
Yes. Participants receive competitive compensation and benefits.
