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BIOPROCESS DIGITAL TWIN SOFTWARE

Novasign Studio

Faster, more confident bioprocess decisions - with fewer experiments

Novasign Studio turns fragmented experiments and process data into explainable workflows for bioprocess modeling, simulation, and decision support -from development to manufacturing.

Novasign Studio shown on a monitor and tablet with a dark background, displaying a simulated HIC chromatography separation chart with POI, HMW, purity, and buffer gradient curves, with a 99.99% purity readout highlighted, and a tablet inset showing the full downstream workflow pipeline canvas

Trusted in bioprocess development and digitalization initiatives

Cloud-based or fully on-premises. No-code for process engineers, code where your data scientists need it.

Built for upstream, downstream, scale-up, and process optimization – across the full development lifecycle.

Built for teams solving real bioprocess workflow bottlenecks

Whether you are characterizing upstream processes, improving downstream robustness, scaling a process, or streamline process development for your equipment, Novasign Studio helps turn process data into decisions teams can use. 

CDMO

Improve comparability, shorten development cycles, and support client decisions with stronger technical rationale and reproducible workflows. 

Big Pharma

Reduce experimental burden and learn faster across upstream and downstream process MSAT and manufacturing.

Industrial Biotech & Emerging Pharma

Reduce Cost of Goods with fewer experiments, de-risk scale-up decisions, and build explainable workflows your team can own and reuse across programs.

Most bioprocess workflows break long before the model

Teams rarely struggle because of a lack of data alone. The real challenge is that experiments, data, and decisions are spread across disconnected tools, files, and teams. Valuable process knowledge is hard to capture, harder to reuse, and rarely transfers across development cycles.

The result: too many experiments, longer timelines, weak comparability, and less confidence as projects move toward scale-up, tech transfer, or advanced process control.

🔹Reproducible ETL workflows  
🔹Up to 70% fewer experiments
🔹Self-improving models that learn with every experiment
🔹Predictive scale-up instead of reactive troubleshooting
🔹Institutionalized knowledge → decisions become scalable & transferable, reusable decision workflows 
🔹End-to-end process understanding in one enviroment

🔹Fragmented Data
🔹Heavy DoE burden
🔹Slow experimental iteration
🔹Scale-up uncertainty
🔹Hard-to-reuse know-how
🔹Multiple modeling tools per unit operation

HOW NOVASIGN STUDIO WORKS

One Studio for bioprocess modeling, simulation, and decision support

Novasign Studio connects experimental design, data preprocessing, model building, and simulation into one reusable workflow environment. 

🔹No-code where it helps, code where it matters
🔹Hybrid modeling and simulation workflows
🔹Reusable workflows across teams and projects
🔹API-ready integrations plus support for custom code and models
🔹Cloud-based or fully on-prem deployment
🔹Collaboration

Novasign Studio shown on a monitor and tablet with a dark background, displaying a simulated HIC chromatography separation chart with POI, HMW, purity, and buffer gradient curves, with a 99.99% purity readout highlighted, and a tablet inset showing the full downstream workflow pipeline canvas

01

Plan

Define the process objective and design smarter experiments around the decision you need to make. 

02

Prepare

Bring together online and offline process data, standardize it, and create reproducible preprocessing workflows. 

03

Model

Combine mechanistic understanding and data-driven methods in explainable workflows that fit your process reality. 

04

Simulate

Run virtual scenarios to explore parameter ranges, operating windows, and scale-up behavior before committing more lab work. 

05

Decide

Turn model output into usable decisions, reusable workflows, and clearer next steps for the team. 

CORE WORKFLOW CAPABILITIES

What Studio enables

01

Experimental planning 

Design smarter experiments around the decision you need to make (from One Factor at Time to model based Design of Experiments) 

02

ETL and data preparation

Transform fragmented raw data into reproducible modeling workflows  

03

Hybrid modeling

Combine mechanistic process understanding with data-driven methods in explainable workflows  

04

Scenario simulation

Test operating windows, scale-up conditions, and trade-offs in silico instead of running costly experiments

05

Integration and extensibility

Bring your own code, models, and data sources into one usable environment  

06

Deployment options

Cloud-based or fully on-prem, depending on your infrastructure needs 

07

Collaboration

Work together with your colleagues from different departments to develop end-to-end bioprocess digital twins

RESULTS

Outcomes that matter

Novasign Studio reduces experimental effort, shortens learning cycles, and make process decisions more defensible.

Use smart workflows to define the design space faster with significantly less wet-lab work.

Connect experiment planning, data preparation, modeling, and simulation in one unified environment to make decisions faster.

Design smart small-scale experiments to uncover potential issues early to predict how processes will perform at large scale.

Turn one-off analyses into workflows teams can review, adapt, and improve over time.

22 → 8

Bespark*bio reduced experimental runs from 22 to 8, cutting material costs by about €40k and accelerating development by 12 weeks.

50% +

Bisy reduced development timelines by more than 50% in an initial proof-of-concept study. 

CASE STUDIES

Explore Studio in real bioprocess workflows

See how teams use Novasign Studio to reduce experimental burden, evaluate scenarios in silico, and support better decisions across unit operations. 

UpStream

Upstream optimization

Prioritize high-impact experiments, identify promising parameter combinations earlier, and reduce unnecessary runs. 

Downstream

Downstream and filtration workflows

Evaluate trade-offs in Chromatography and  UF/DF/SPTFF with stronger comparability and less wet-lab effort. 

Scale Up (1)

Scale-up and tech transfer

Compare operating windows across scales and identify scale-dependent risks before running expensive tech transfer or engineering runs.

PAT

PAT-Driven Insights and Autonomous Process Control

From integrated process analytics to model predictive control – unlocking autonomous optimization
across all unit operations.

Comparing Novasign with other solutions?

Novasign Studio is built for teams that need a practical workflow from experimental data to modeling, simulation, and better process decisions.

Compared with internal scripts and local models​

Compared with bioprocess cloud – based modeling platform​

Full-Spectrum Modeling Across the Entire Bioprocess

Move from person-dependent analyses to reusable workflows your team can review, reuse, and scale.

Keep flexibility in deployment, workflows, and model integration - including fully on-prem setups if desired.

Supports mechanistic and data-driven approaches across all unit operations, enabling full upstream-to-downstream process modeling within a single environment.

How Novasign helps teams learn faster from bioprocess data

See how Novasign combines experimental design, data preparation, modeling, and simulation into a practical workflow that helps teams make faster, more confident process decisions.

Get Started

Some teams want to get hands-on with the software directly. Others want to start with a guided pilot and build the first workflow together with our experts. We support both paths.

Studio Access

🔹Access Novasign Studio

🔹Receive workshop on standard datasets

🔹Use Studio independently

Guided Pilot

🔹We develop the modeling workflow on your data

🔹Run tests if needed

🔹Tailored Workshop

🔹Test license to reuse the workflow across processes

Frequently asked questions

What kind of data do we need to get started?

The best starting point is one concrete process question for one unit operation. and the. We can work with relevant historical experimental data or guide you to setup the right experiments for a new related question. 

Is Novasign Studio a black box?

No. Novasign Studio consists of a fully transparent workflows, explainable modeling logic, and reusable decision support - no opaque automation claims. You see the model structure, logic, who it build and how it evolved over time. Everything the authorities want to see.  

Can Studio run on-prem?

Yes. Novasign Studio is designed as for cloud-based or fully on-prem deployments, which is an important differentiator for teams with stricter data requirements. 

Can we integrate our own code or models?

Yes. Novasign Studio allows your experts to bring their own code with full Visual Studio code environment. 

How is this different from dashboards or data platforms?

Dashboards help teams view data. Studio is designed to connect data, modeling, simulation, and decisions in one workflow. 

Do we need to automate everything to get value?

No. A practical starting point is decision support first, then staged expansion when the use case, data, and operational context support it. That mirrors the broader content strategy recommendation to build content around “decision support before automation.” 

How many experiments do we need to get started?

You can begin even with limited data. Studio helps you extract maximum knowledge from what already exists, and recommends the most informative next experiments to run -reducing total experimental effort by up to 70% compared to conventional DoE approaches.

Ready to see how Novasign Studio fits your workflow?

Start with one process question, one team, or one use case  and build from there.

Novasign Studio shown on a monitor and tablet, with the monitor displaying a bioprocess workflow canvas connecting Experimental Data, Process Model, and Simulation Results nodes, and the tablet inset showing process performance simulation curves for VCC and IgG over process time