State-resolved digital twin
A domain model and state gateway. Every model result, design decision and experimental outcome is written back to it.
Platform
Parametric vaccine design system
Velocin’s design engine orchestrates deterministic models, ML-driven parameter sweeps, and Monte Carlo simulations through proprietary workflows, integrated third-party models, and plug-ins. Each result is written back to the digital twin, continuously updating the experimental memory.
How it works
Evidence that compounds across research cycles
Experimental memory
Adaptive evidence weighting with Gaussian forgetting. The digital twin reads from and writes to it, so evidence is retained and built on.
Model workflow library
Proprietary workflows, integrated third-party models, and plug-ins — for example Evo 2, AlphaFold and RL-guided diffusion.
Design engine
Deterministic models, advanced ML parameter sweeps and Monte Carlo simulation generate, score and prioritize vaccine candidates across pathogens, together with the next experiments to run.
Individual models evolve. Velocin’s digital twin, design engine, and experimental memory retain and build on evidence across research cycles.
AI strategy
Intelligence embedded at every layer
One integrated AI approach connects evidence, models, compute, and people.
Always-on review
Frontier LLMs deployed on Velocin’s infrastructure continuously scan literature, patents, and regulatory filings to surface patterns across the evidence base.
Embedded foundation models
Evo 2 and comparable foundation models integrate into the proprietary system as governed components, not standalone sources of truth.
Register-resident compute
Deterministic modelling and classic ML handle narrow, high-value tasks, with register-resident SIMD optimization for high throughput at low compute cost.
Enabled researchers
Scientists use governed AI tools and a shared world-model as a routine, collaborative part of every research task.
Why Velocin
Two disciplines in one company
Neither discipline is rare on its own. What is rare, and what our competitors lack, is holding both in one company. The wet lab produces evidence that cannot be bought.
Parametric information systems
Over 20 years of researching and building parametric information systems in finance, where uncertainty, provenance and compute cost decide outcomes. A state-resolved digital twin, in silico design engine, and adaptive experimental memory are the key AI technologies Velocin applies in parametric vaccine design.
World-leading VLP vaccine science
Velocin’s protein-based vaccine innovation was born in a world-leading research group of enterovirus virus-like particle vaccines: over 15 years of research at Tampere University, 17 published articles and 22 person-years of proprietary protein-based vaccine technology.
Rapid vaccine manufacturing system
The design system will turn prioritized candidates into rapidly updatable vaccines across pathogens, with no eggs and no live virus. A seasonal influenza vaccine takes about six months today; our system targets half that.
From design system to vaccine candidates
The platform starts with multivalent enterovirus vaccines, where no broadly protective vaccine is licensed in Western markets.