Software and training for modern industrial R&DAuthentic Research Partners · Princeton, NJ
Research software engineering, scientific workflow automation, methodology rigor and new-method enablement, capability training, and local AI that fits your flow.
Capabilities
What we solve
Targeted upgrades that slot inside industrial R&D programs without disturbing the parts that already work. Pick a capability to see the evidence and our approach.
R&D and Technical Capability Building
We train industrial R&D teams and the technical teams that support them. For technical teams, that means understanding R&D workflows, how scientists actually reason, and how to build tools scientists will adopt instead of working around. For R&D teams, that means using AI and related tools with the rigor an industrial program requires, without cycle time or quality loss. Sized to your program, not to a standard curriculum. The same problem we solve in product work: connecting R&D needs with the right technical execution.
Tools & Research Initiatives
research-mentor
Adaptive guidance system for research methodology. Question formulation, experimental design, literature review, data analysis, writing, and communication. Source-available, free for individual use.
Methodology checks for scientific Python code. Catches data leakage, improper cross-validation, mishandled class imbalance, mismatched loss functions. Runs locally on your hardware, on a small open model. Nothing leaves the host.
Verification for scientific manuscripts. Checks that references exist, metadata is accurate, and citations support the claims being made. Produces a SciLint Score for integrity and contribution quality.
R&D scientists, enterprise software leaders, and an R&D program manager. Combined: 60+ years of hands-on R&D, 21 patents, enterprise systems for Fortune 500 programs in regulated industries, and the published methodology that frames our approach.
Co-Founder
Sergey Samsonau, Ph.D.
Physics PhD. A decade running the AI for Scientific Research program at NYU, a published framework for small teams delivering AI solutions to research partners. Led technical design of NYU's university-wide GenAI ecosystem. Built AI capability for a radiology company. ML solutions recognized for innovation at Credit Suisse.
20+ years across product management, engineering, and technical leadership. Enterprise systems delivering multi-million-dollar projects in regulated industries (healthcare, banking, government). Hyperscience, CIVIE, Vroom (scaled engineering through IPO).
30 years in R&D program management and technology commercialization. Schlumberger and Princeton Plasma Physics Laboratory. 21 patents, 100+ invention disclosures. Led PPPL's $27M FLARE fusion facility. Now advises on R&D strategy, technology commercialization, and research program design.
30+ years designing and leading research-based education programs at rigorous institutions. Focused on how research practice is structured and sustained: the methodology of training people to do real work on open questions. Pioneer of bringing authentic research into structured educational settings. Advises ARP on program design, training curricula, and the operating model behind the Authentic Research framework.
