About Us
Beste Health sells productized medical writing and AI services for internal medicine. Fixed scope. Fixed price. Delivered by a senior team of physician-scientists, PhD writers, and ML engineers. Our customers are pharmaceutical teams, academic researchers, and hospital clinicians who need evidence work done to a defined standard and shipped on a calendar.
By the numbers
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Project Completed
Manuscripts, reviews, clinical trials, protocols, platforms, and AI pipelines, shipped on a calendar.
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Institutions
Universities, hospitals, and pharmaceutical companies across the US, Europe, and Latin America.
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Years Combined
Senior contributors with backgrounds spanning clinical practice, academic research, and AI engineering.
What We Do
Services
Real clients, real results. Imagine what we can build for you
Clients' Words
FREQUENTLY ASKED QUESTIONS
What services do you offer?
Beste Health ships two catalogs for internal medicine work. Catalog A — Applied LLM, delivered as a service. Context Engineering, Local Fine-Tuning and Evaluation, and Process Automation that combines deterministic code with LLM calls. Deployed as API endpoints or inside your infrastructure, versioned, and evaluated. Catalog B — Medical writing, priced per unit. Scientific Platform Writing, Medical Editing and Proofreading, Original Manuscript and Poster Writing, Systematic Literature Reviews and Evidence Synthesis, and Clinical Protocol and Grant Writing. Every offering has a fixed scope, a fixed turnaround, and fixed pricing. Orders are placed against the catalog — not scoped by the hour.
Who do you work with, and where?
We serve customers in the United States, the European Union, and Latin America, with particular depth in Spanish-language academic and hospital contexts. We work in English and Spanish, and are equally comfortable in private and public sector settings. Typical customers include pharmaceutical medical affairs teams, academic professors and principal investigators in internal medicine, hospital physicians and department heads, and administrative sponsors funding evidence work or LLM pilots.
How do you ensure quality and compliance?
Senior-only delivery. Every engagement is executed by a senior contributor — senior professors, physician-scientists, PhD-trained computer scientists, and AI engineers with graduate ML training. Standards applied explicitly. Medical writing follows EMWA / AMWA good practice and the relevant reporting standards (CONSORT, STROBE, PRISMA, GPP). Clinical protocols are aligned to ICH E6(R3). Systematic reviews follow PRISMA and Cochrane with risk-of-bias tools (RoB 2 / ROBINS-I). Evidence, not claims. Applied LLM pipelines ship with a documented specification, a curated reference dataset, a regression harness, and a full audit log. Fine-tuning engagements include an evaluation report against a held-out dataset.
What are your typical turnarounds?
Every offering carries a defined turnaround window: Context engineering pipelines: 3 to 4 weeks to first production version. Local fine-tuning: 2 to 6 weeks depending on model size and data. Process automation: 3 to 5 weeks to first production version. Scientific platforms: 4 to 8 weeks. Medical editing: 5 business days (language) or 10 business days (substantive). Rush available. Manuscripts: 3 to 6 weeks from data-ready. Posters: 2 to 3 weeks. Systematic reviews: 4 to 10 weeks depending on scope tier. Protocols and grants: 3 to 6 weeks.
Do you offer retainers or ongoing support?
Yes, on a per-offering basis. Context engineering pipelines and process automation workflows come with a monthly subscription that covers updates, regression runs, and support. Local fine-tuning offers an optional monthly retainer for refresh cycles and drift monitoring. Scientific platforms offer an optional annual maintenance subscription. Everything else is one-time, fixed-price, per-deliverable.