Tech Transfer

Tech transfer involves taking an existing, validated process and adapting it to a new environment such as a CDMO, often under new constraints like different equipment, facility layouts, regulatory interpretations, or personnel capabilities. It’s not about designing from scratch, but about safeguarding and reproducing what already works, while managing risk from inherited complexity.

New equipment setup, on the other hand, is about building operational capability from the ground up, often without prior performance data or risk history. Innerspace specializes in bridging this gap by capturing the expert logic behind the existing process and translating it into site-specific, execution-ready formats. This ensures that even when systems change, process quality doesn’t.

Frame-by-Frame® enables organizations to define, digitize, and replicate complex pharma manufacturing processes into a structured process model. This digital twin is composed of modular, validated content that ensures uniform execution logic across all transfers regardless of site, region, or team maturity. It replaces tribal knowledge with a systemized, transparent approach. Because each process step is anchored in data and decision logic, variability is minimized. This approach scales naturally, allowing local adaptations while preserving global standards.


Yes, Frame-by-Frame® was built for pharma-grade, highly regulated environments. Our system aligns with international regulatory frameworks such as ICH Q9, and Annex 1. Every digital process model, risk evaluation, and training output is documented, version-controlled, and audit-ready. This ensures that all tech transfer outputs are traceable, reproducible, and compliant from day one. Risk-based documentation also provides clear justifications for process parameters and mitigations, enabling confident audit defense and smoother regulatory approvals.

Successful tech transfer is not just about process replication, it’s about preparing people. Innerspace combines process digitalization with behavioral training, enabling operators and SMEs to deeply understand not just what to do, but why it matters. We model the exact decision points and behaviors that drive product quality and safety. This approach reduces reliance on verbal instructions or siloed expertise. It transforms human variability from a risk into a managed and measurable factor.

Analytics is the foundation of our tech transfer approach. Before a process is transferred, we use data to identify critical process parameters, quality control blind spots, historical risk hotspots, and inefficiencies. During and after transfer, we track execution metrics to flag drift or inconsistencies in real-time. This proactive, data-informed feedback loop helps teams course-correct quickly, and shifts the mindset from reactive firefighting to preventive quality assurance. It also supports continuous improvement post-transfer.

Our system transforms implicit knowledge into structured, reusable, and updatable models. Rather than relying on expert handover meetings or long narrative SOPs, Frame-by-Frame® builds a living knowledge object that codifies both process execution and risk logic. This ensures critical expertise doesn’t walk out the door with personnel turnover. As tech transfers multiply, knowledge is not diluted , it compounds. Updates, deviations, and lessons learned are all captured and shared across projects.

We enable side-by-side, data-driven comparisons of how processes are actually executed at different manufacturing sites, not just how they are documented. This includes variations in role behavior, environmental conditions, execution timing, and decision-making. By modeling every step using our Frame-by-Frame® methodology, we reveal hidden discrepancies that would typically go unnoticed in SOP-based reviews.

Innerspace significantly reduces the need for prolonged on-site presence by replacing travel-heavy workshops and tribal knowledge transfer with structured, remote-ready digital models. Our standardized Frame-by-Frame® process outputs act as a single source of truth making critical information digestible, interactive, and accessible to all stakeholders in advance. By ensuring every team receives the same contextualized training and process knowledge, we streamline alignment and cut time-to-readiness dramatically even in sites with limited SME availability. 

We use our Frame-by-Frame® platform to transform expert process knowledge into structured, role-specific, and traceable digital formats. We build a digital process twin that breaks down operations into frames, each with defined intent, action, and decision logic. This ensures that everyone involved knows not just what to do, but why and when.

Our models map responsibilities across roles, highlight critical control points, and integrate regulatory logic directly into execution steps. This structured approach eliminates ambiguity, accelerates onboarding, and ensures alignment between sending and receiving sites, even when expertise is uneven or equipment differs.