SciTransfer
Organization

INSILICO BIOTECHNOLOGY AG

Stuttgart SME providing computational modeling and AI-based simulation of biological systems for pharmaceutical, vaccine, and bioprocess R&D.

Technology SMEhealthDESME
H2020 projects
4
As coordinator
0
Total EC funding
€262K
Unique partners
87
What they do

Their core work

Insilico Biotechnology is a Stuttgart-based SME specialized in computational modeling of biological systems — building digital twins and in silico simulations that predict how cells, tissues, and bioprocesses behave. Their core capability is applying mathematical modeling and artificial intelligence to reduce the need for costly wet-lab experiments in biotechnology and pharmaceutical development. They contribute modeling expertise to larger consortia working on problems ranging from systems biology and synthetic biology to vaccine manufacturing optimization.

Core expertise

What they specialise in

Computational biology and in silico modelingprimary
4 projects

Company's core identity across all projects — from SyMBioSys (Systematic Models for Biological Systems) through Inno4Vac (AI and modeling for vaccines).

Systems biology and metabolic engineeringprimary
2 projects

SyMBioSys focused on biological systems engineering; SynCrop on synthetic circuits for orthogonal production.

AI-driven vaccine and pharmaceutical developmentemerging
1 project

Inno4Vac (2021-2027) applies AI, in vitro models, and mucosal modeling to accelerate vaccine development and manufacturing.

Glioblastoma and translational cancer research supportsecondary
1 project

GLIOTRAIN contributed computational approaches to glioblastoma translational research training.

Bioprocess simulation and manufacturing optimizationsecondary
2 projects

Inno4Vac keywords include 'manufacturing'; SyMBioSys addressed biological systems engineering applicable to bioprocess design.

Evolution & trajectory

How they've shifted over time

Early focus
Systems and synthetic biology modeling
Recent focus
AI-driven vaccine development

In the early phase (2015-2018), Insilico focused on fundamental systems and synthetic biology, contributing modeling capabilities to training networks like SyMBioSys and SynCrop — largely academic, capacity-building projects. From 2021 onward, they shifted toward applied health challenges, joining Inno4Vac with explicit AI and in vitro modeling roles in vaccine development. This represents a clear move from foundational computational biology toward direct pharmaceutical and health-sector application of their modeling tools.

Insilico is transitioning from academic training networks toward applied pharmaceutical R&D, positioning their modeling platform for health-sector impact — particularly in vaccine manufacturing and AI-assisted drug development.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European18 countries collaborated

Insilico never leads consortia — they join as a specialist contributor, either as a participant or third party providing computational modeling services. With 87 unique partners across 18 countries from just 4 projects, they operate within large, diverse consortia rather than small focused teams. This pattern suggests they are a trusted niche provider that larger groups bring in for specific modeling capabilities rather than a project initiator.

Despite being a small SME, Insilico has connected with 87 unique partners across 18 countries through participation in large training networks and research consortia. Their network spans broadly across Europe with no narrow geographic concentration.

Why partner with them

What sets them apart

Insilico occupies a specific niche: they are one of few SMEs offering dedicated in silico biological modeling as a service to research consortia. While many computational biology groups sit inside universities, Insilico operates as a private company, which means they bring commercial-grade modeling tools and a product-oriented mindset to academic-heavy projects. For consortium builders, they offer a ready-made computational biology capability without the overhead of building it internally.

Notable projects

Highlights from their portfolio

  • Inno4Vac
    Their most recent and strategically significant project — a large-scale vaccine innovation initiative running to 2027, marking their pivot into health-sector AI applications.
  • SyMBioSys
    Their largest funded project (EUR 249K) and the most aligned with their core identity — systematic modeling of biological systems in a training network format.
Cross-sector capabilities
Biotechnology and bioprocess manufacturingSynthetic biology and metabolic engineeringPharmaceutical development and vaccine productionAgricultural biotechnology (via SynCrop synthetic circuits work)
Analysis note: Profile confidence is moderate: only 4 projects with minimal keyword data in early projects. The company name and project titles strongly indicate computational biology modeling, but specific technical capabilities are inferred rather than directly evidenced in keywords. Two projects list no keywords, and two were third-party participations with no direct funding data, limiting depth of analysis. The Inno4Vac project (running to 2027) provides the richest keyword evidence for their current direction.