€2,400HT
One specific question: vendor proposal review, data readiness on one dataset, or feasibility of one POC.
Book this auditPharmacist by training, neuroscientist by PhD, engineer by daily practice. 3-day Express to 7-day Extended audits for biotech, medtech, and digital health founders. Architecture diagrams, sample code, and specs included. When scope fits, I ship production systems too.
12+
yrs · electrophysiology & ML
3
Advanced degrees
€800
Flat daily rate
0–6mo
Project horizon
Everything is priced at a flat €800 HT/day. No packages, no hidden markup.
€2,400HT
One specific question: vendor proposal review, data readiness on one dataset, or feasibility of one POC.
Book this audit€4,000HT
Full scope on one project: problem, data, feasibility, risks, recommendation, and roadmap.
Book this audit€5,600HT
Multi-topic or wide scope: full AI stack review, pre-fundraise DD, or post-deployment production audit.
Book this auditEvery audit delivers more than slides. You get architecture diagrams, sample production-grade code on the critical brick, and concrete specs on data governance, security, and scalability for your exact case. You close the report thinking this person could build it, not just describe it.
Prices HT, VAT not applicable (art. 293 B CGI). Payment 50% on signature, 50% on delivery. Onboarding the week following signature.
When the scope fits, I build the system too. Sprints run part-time, up to 3 days per week, no full-time or on-site commitment. Phase 2 is for building. Fractional is for staying available when there's no big build.
Architecture plus your first production module.
One-shot · 8 days
€6,400
Modular build, one production module shipped each month.
Monthly · 6 days / month
€4,800 / month
Ongoing senior AI capacity, dialled up or down as you need.
Monthly · 2–5 days / month
€1,600 – €4,000 / month
Biotech, medtech, and digital health teams from seed to Series A, with a concrete AI project to validate, ship, or de-risk in the next 0 to 6 months. Founders, CSOs, CTOs, CMOs, Heads of Data or R&D who can actually sign. Pharma R&D early-stage welcome.
I am Saber Graf, founder of SG AI Solutions. Pharmacist by training, neuroscientist by PhD, and engineer by daily practice, I have spent over a decade at the intersection of complex biological data, software engineering, and machine learning, close enough to the science to judge a model, close enough to the code to ship one.
Peer-reviewed
First-author paper in Scientific Reports (2025): self-supervised learning for label noise correction. DOI 10.1038/s41598-025-90380-x.
Healthtech-native
Methods proven on real biological data at scale, with the regulatory and data-governance constraints of biotech, medtech, and digital health.
Independent technical read on an AI asset or your own stack.
One-shot · 3–6 days
€2,400 – €4,800
Book a due diligenceAll audits follow a strict daily rate of €800 HT/day, with no hidden markup: €2,400 for a 3-day Express, €4,000 for a 5-day Standard, €5,600 for a 7-day Extended. Prices are HT (VAT not applicable, art. 293 B CGI). Payment is 50% on signature, 50% on delivery.
Every audit delivers more than slides. You get architecture diagrams, sample production-grade code on the critical brick, and concrete specs on data governance, security, and scalability for your exact case, so you close the report knowing this person could build it, not just describe it.
Both. When the scope fits, I ship production systems: Implementation Phase 1 (architecture plus your first module), Phase 2 (a modular monthly build), or an ongoing Fractional AI Partner engagement. Build sprints run part-time, up to 3 days per week, no full-time or on-site commitment.
Biotech, medtech, and digital health teams from seed to Series A, with a concrete AI project to validate, ship, or de-risk in the next 0 to 6 months. Founders, CSOs, CTOs, CMOs, Heads of Data or R&D who can actually sign. Pharma R&D early-stage welcome.
I do not write legal AI Act reports (refer to a lawyer for those) and I do not take CRO engagements, due to a contractual constraint. Everything else in healthtech AI, ask me.
Every engagement starts with an NDA. No client data is used to train models, and I can work entirely within your infrastructure when required. A background in pharma and healthcare means I understand the stakes around patient data, IP, and regulatory compliance.
saber.graf@sg-ai-solutions.com
I do not write legal AI Act reports (refer to a lawyer for those), and I do not take CRO engagements (contractual constraint). Everything else in healthtech AI, ask me.