Selected Projects & Outcomes

A closer look at the strategic and technical problems our teams have solved.

Our Spring 26 Project Highlights

Technology

Google

Google project team

Deliverables

  • Competitive landscape analysis
  • SMB vs. enterprise framework
  • Human-agent operating model
  • Product strategy & business case

The problem

  • Define a defensible Autonomous Cloud Operations strategy for SMBs and startups, cutting through market hype to find where always-on agent workflows create real value.
  • Identify repeatable, monetizable use cases outside complex enterprise governance models — where background agents can run without heavy control planes.

What we did

  • Ran a 10-week engagement with 2 executive deliverables (midterm at week 4, final at week 10).
  • Mapped the competitive landscape across 10+ autonomous cloud operations players.
  • Validated SMB pain points against 3 criteria: frequency, business impact, and feasibility.
  • Benchmarked gaps between enterprise and startup tooling for autonomous operations.
  • Built frameworks for human-agent oversight, agent-to-agent coordination, and commercial viability across 3 pricing model options.

Outcome

  • Delivered 2 hour-long executive presentations with prioritized use cases and win conditions for the SMB segment.
  • Shipped a 3-part product strategy covering research, interaction design, and business defensibility.

Financial Services

BMW Financial Services

BMW Financial Services project team

Deliverables

  • Current-state workflow map
  • Industry benchmarking report
  • Future-state architecture briefs
  • 3-phase implementation roadmap

The problem

  • Modernize audit and underwriting workflows still reliant on manual review, multi-step approvals, and compliance checkpoints.
  • Evaluate how Agentic AI (near-term) and quantum computing (mid-to-long term) can reduce bottlenecks and support BMW FS’s 100% customer retention goal.

What we did

  • Staffed a 12-week engagement with a 6 to 8 person team across 2 phases.
  • Spent 7 weeks mapping audit and underwriting flows and benchmarking Agentic AI vendors plus quantum finance applications.
  • Shortlisted 2 to 3 use cases using value-vs-feasibility scoring.
  • Spent 5 weeks developing future-state architectures and scenario-based feasibility assessments.
  • Built a 3-phase execution roadmap covering prototype, pilot, and scale.

Outcome

  • Delivered 2 executive presentations (midterm at week 7, final at week 12) with prioritized automation opportunities and future-state workflow designs.
  • Provided KPI frameworks and governance guidance for piloting Agentic AI and quantum-enabled solutions.

Telecommunications

Verizon

Verizon project team

Deliverables

  • VSB market & segmentation report
  • Customer journey maps
  • Product requirements document
  • UI/UX prototypes & GTM playbook

The problem

  • Grow Verizon’s share among Very Small Businesses (0 to 9 employees), where 80% of the segment are sole proprietors.
  • Build a combined go-to-market and product strategy spanning acquisition, onboarding, support, billing, and consumer-to-business migration.

What we did

  • Ran an 11-week engagement with 2 executive deliverables (midterm at week 6, final at week 11).
  • Sized and segmented VSBs across 3 employee tiers: 0; 1 to 4; and 5 to 9.
  • Mapped 5 core workflows end-to-end across the VSB journey.
  • Conducted 15 to 20 customer interviews, including 6+ sole proprietors.
  • Benchmarked wireless, FWA, cable, and MVNO competitors, then translated findings into product requirements, UX prototypes, pricing bundles, and AI-enhanced workflow recommendations.

Outcome

  • Delivered 2 hour-long executive presentations with a VSB playbook, prioritized product roadmap, and go-to-market messaging.
  • Designed a 2-week pilot tracking conversion, ARPA uplift, and time-to-first-value across protect-and-upgrade journeys.

Quantum & Developer Platform

qBraid

qBraid project team

Deliverables

  • Persona journey maps & research report
  • UX concepts & annotated wireframes
  • Lifecycle email sequences & in-product messaging
  • Prioritized implementation roadmap

The problem

  • Support rollout and adoption of qBraid’s v2 platform for students, researchers, and hackathon participants using qBraid Lab and related tools.
  • Identify UX friction in the new UI and recommend communication improvements that increase activation and retention during and after events such as MIT iQuHack.

What we did

  • Ran a 10 to 12 week engagement with 2 deliverables (midterm around weeks 5 to 6, final around weeks 10 to 12).
  • Mapped end-to-end flows for 2 to 3 core personas: student, hackathon participant, and instructor/org admin.
  • Completed a UX review of v2 navigation and Lab workflows, and synthesized support plus hackathon feedback through targeted user conversations.
  • Prioritized themes by impact and effort for a 12 to 15 person startup.
  • Developed UX concepts, lifecycle email sequences for 2 segments, in-product messaging suggestions, and a lightweight testing and rollout approach.

Outcome

  • Delivered 2 Zoom presentations (midterm and final) with persona journey maps and prioritized UX and communications recommendations.
  • Shipped annotated screenshots and wireframes for priority flows, draft 3 to 5 email sequences, and a near-term vs. later roadmap aligned to the v2 rollout and iQuHack usage spike.

Partnership model for recruiters, sponsors, and innovation teams.

Why partner with us

We execute focused strategy and technical projects with a delivery model built for speed, quality, and clear outcomes.

Access top Berkeley talent

Cross-functional teams draw from engineering, business, data science, and statistics to solve problems end-to-end.

Previous collaborations

Current and prior collaborations include teams at Google, BMW, and Verizon.

Sponsorship opportunities

We support tailored partnership models for project sponsorship, recruiting visibility, and long-term collaboration.

Partner with us

Whether you're scoping a project, sponsoring a team, or recruiting Berkeley talent, we'd love to talk.

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