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Each agent understands the scientific domain it operates in: the data structures, the workflows, and the compliance requirements. They execute with statistical rigor, not LLM guesswork.
Physicochemical characterization, solubility profiling, stability screening, excipient compatibility. Determines whether a molecule can become a viable dosage form.
LNP optimization: encapsulation efficiency, particle size distribution, PDI, zeta potential. Batch-to-batch variability analysis with multivariate parameter comparison across iterative runs.
Full factorial, fractional factorial, and response surface designs. Automated ANOVA. Operates statistical analysis and DoE platforms directly, extracting data, computing analysis, and detecting statistically significant differences.
Optimization workflows for injectable formulations, oral solid dosage, and complex delivery systems. Links process parameters to quality attributes with full traceability.
Bridge bench-to-pilot across solvent systems, mixing speeds, shear forces, and equipment constraints. Identifies critical process parameters that shift at scale before they become GMP failures.
Evidence-bound deviation reporting. Traceable study comparison. GxP audit trail generation. Every agent action logged with timestamps and reproducible workflow records for regulatory review.
AI Agent Operating System for pharmaceutical research and manufacturing. Local-first. Air-gapped. Domain-specific agents. Connectors. Built for scientists, by scientists.
Get in touch →Zero-setup pilot. Instant visibility. Phase 1 FIH readiness.