When it fits: You're evaluating a life sciences acquisition or portfolio company and need independent operational insight—fast.

What we do: Rapid assessment of operational maturity, technology stack, team capability, and scalability risks. We identify value creation opportunities and red flags before close.

What you get:

• Deal-ready operational assessment (2–4 weeks)

• Risk and opportunity matrix

• 100-day value creation roadmap

Recent example: Supported PE diligence on $200M+ biotech platform acquisition, identifying $15M in operational efficiency opportunities.

When it fits: You've heard the AI pitch. At this point, where AI can be applied is table stakes. Now you need someone who can actually implement it—without the 18-month roadmap. Connect the ivory tower to your organization.

What we do: We identify 1–2 high-leverage AI use cases, build the proof of concept, and transfer the capability to your team. We do this using a proven methodology which not only integrates AI but unlocks operational optimization as well. Visible KPI movement in 90 days.

What you get:

• AI opportunity assessment

• Working proof of concept

• Implementation playbook and team training

Recent example: Designed AI Center of Excellence for top biopharma—governance model, funding framework, and rollout plan.

When it fits: You're a university, health system, or corporate R&D group with promising IP but no clear path to commercialization. Or you're an investor designing a new fund structure for life sciences.

What we do: We design venture studios, spinout programs, and fund structures that turn scientific innovation into investable assets. From governance and IP licensing frameworks to fund economics and portfolio strategy.

What you get:

• Venture studio operating model and governance

• Fund structure and LP/GP economics

• IP licensing and deal flow frameworks

• University partnership agreements

• Portfolio construction strategy

Recent example: Designed $100M venture studio concept for major university — multi-layered fund structure integrating university IP licensing, other partnerships, and institutional LP capital.

When it fits: You know something's broken—cycle times, handoffs, decision bottlenecks—but you need an outside perspective to diagnose and fix it.

What we do: End-to-end workflow analysis, root cause identification, and implementation of streamlined processes. We build the baselines and decision logic that make improvement stick.

What you get:

• Current-state diagnostic with quantified gaps

• Redesigned workflows and SOPs

• KPI dashboards and governance model

Recent example: Data Engagement Initiative implementation at top 10 pharma—30% improvement in submission velocity and data traceability.