Greg Buchert

Solo Angel Los Angeles, CA, United States

About Greg Buchert

Greg Buchert is the former CEO of CalOptima and a Los Angeles-based solo angel writing $25k-$100k checks at pre-seed and seed in tech-enabled care delivery and health IT software, with no AI flag. His operating background running a major California Medicaid managed care plan gives him exceptional credibility on Medicaid, payor operations, and the public-program healthcare ecosystem. Founders building tech-enabled care delivery for Medicaid populations, health IT software targeting public-program payors, or platforms that touch dual-eligible, SDOH, or value-based care models are the natural fit. His CalOptima network and payor-operator credibility bring real value beyond the small check size. He is the wrong audience for biotech, devices, consumer wellness, AI-heavy plays without a clear payor-relevance angle, or commercial-only software. The small check size positions him as a high-signal payor-operator participant rather than a lead. With no LinkedIn link in the profile, the realistic outreach path is through Wellth (where he advises), the California Medicaid managed care operator community, or warm introductions from CalOptima alumni and fellow Medicaid-experienced operators. Cold outreach via the Wellth website is low-yield. Without a published thesis, founders should rely on his CalOptima operating context as the primary signal of taste and prioritize him only if there’s a strong Medicaid or value-based care angle.

Founder reviews

No founder reviews yet. Raised from this fund? Share your experience with other founders.
Portfolio data coming soon. Know their portfolio? Suggest an edit →
Team information coming soon. Know the partners? Suggest an edit →

Pitch / review this investor

Have you raised from Greg Buchert? Founders only — share your honest experience (anonymous OK, moderated before publishing).

Share your experience
Last updated 2026-05-06. Sourced from this fund's published materials.
AI Tool Finder
AI-powered search. Results may not be comprehensive.