The tablet plant runs itself. QA decides what gets released.
The autonomous operations layer for oral solid dose pharmaceutical manufacturing — blending and granulation control, compression and capsule-filling control, coating and drying control, AI vision, PAT and NIR inspection of weight, hardness and content uniformity, robotic handling of powders, IBCs and tooling, and an as-made batch digital twin that tests quality, potency and takt before the run.
The as-made batch digital twin: rehearse granulation, compression and coating before the run and hit target quality, potency and takt in simulation first.
In-line PAT and NIR intelligence that calls blend uniformity, content uniformity and moisture in real time, toward real-time release.
AI vision inspection that sees every chip, crack, spot and print defect on every tablet and capsule at line speed.
The GMP conformance and batch-genealogy agent: deviations, CAPAs and audit-ready release packages, right first time.
Autonomous handling of powders, IBCs and compression tooling between blending, granulation, compression and coating.
CEO & Co-founder
Owns Pildeon's design-partner relationships, wedge selection and the validation conversation with site directors, MSAT and QA, starting with the tablet plants where rejects and deviations cost the most.
LinkedIn →CTO & Co-founder
Owns the orchestrator, the policy engine, the audit architecture, the plant-edge runtime and the model registry that keep every agent action bounded and traceable.
LinkedIn →If you're building the layer Physical AI can't scale without, we want to hear about it.