AQbD vision for your Digital Methods Definition
QbDVision enables Digital Method Definition (DMD) to turn static procedures into structured, traceable, lifecycle-driven method knowledge.
Ditch your document-based analytical methods
A Digital Method Definition is a structured, lifecycle-managed digital representation of an analytical method that unifies performance requirements, procedure attributes, and controls, replacing the fragmented documents and siloed systems that define how analytical methods are managed today. Turn disconnected methods into measurable improvements across speed, transfer, and compliance.
Quicker development & scale-Up
Fewer experiments, better use of DOE insight, and clear rationales reduce cycle time dramatically.
Faster Tech Transfer
Digital transfer eliminates missing context, a top cause of transfer delays and post-transfer RCA loops.
Stronger regulatory confidence
Structured justification and traceability streamline validation, PACMP changes, inspection readiness and dossier updates.
The Problem
Disconnected analytical methods are dragging down your development speed
Analytical methods are meant to ensure product quality, process control, and regulatory confidence. But most method knowledge is stuck in PDFs, spreadsheets, ELNs, LIMS, SDMS, you name it.
What should be a controlled analytical lifecycle is a costly cycle repeated across every development phase, site transfer, and post-approval change. This translates into sunk cost, compliance issues, and lost time to market.
Why this matters
Hidden risk
Critical method intent is lost across documents, teams, and lifecycle stages.
Transfer friction
Gaps surface late during transfer, validation, or regulatory review.
Compliance exposure
Disconnected methods increase audit stress, rework, and approval delays.
The Solution
No more papers, please!
QbDVision replaces document-based analytical methods with a new operating model for analytical science, combining scientific structure, lifecycle intelligence, and regulatory alignment in one system.
Our DMDs stop analytical teams reinventing methods and start managing a continuous lifecycle.
Instead of managing methods through disconnected reports and procedures, teams work from a single source of truth that captures analytical targets, parameters, performance characteristics, procedures, controls, risks aligned with ICH Q9/Q14, and scientific justification all in one place.
Faster development, smoother transfers, fewer failures
Make method knowledge accessible
Bring analytical development, quality, manufacturing, and external labs together around a shared digital view of method intent, risks, and lifecycle status.
Assess readiness before transfer or validation begins
Digitally compare method requirements against receiving lab capabilities, equipment, materials, and parameters to automatically surface gaps, risks, and comparability issues.
Continuously evolve methods with full traceability
Manage parameters, acceptance criteria, and control strategies as living knowledge, maintaining complete traceability to analytical targets, risk assessments, and scientific justification.
Share knowledge without friction
QbDVision enables seamless collaboration across internal labs, CDMOs, and external testing partners within a single shared digital workspace.
End-to-end analytical oversight
Maintain method intent, assess readiness earlier, and collaborate more effectively across internal sites and external laboratories.
Align sponsors, sites, and partners from day one
QbDVision connects sponsor analytical teams, internal labs, and CDMOs in one shared digital environment, eliminating ambiguity and misinterpretation.
See risks before they impact timelines
Digitally compare sponsor-defined method requirements against receiving lab capabilities to surface risks across parameters, equipment, materials, and performance characteristics.
Maintain control as programs scale and evolve
Refine methods throughout development, validation, and commercialization with full lifecycle traceability and regulatory alignment.
Clear requirements, predictable execution
Gain structured visibility into sponsor method intent, identify gaps sooner, and execute transfers with greater confidence and efficiency.
Receive clearer requirements and collaborate with confidence
QbDVision provides CDMOs with direct access to structured sponsor method knowledge, not just static procedures, within a governed digital workspace.
Understand gaps early and plan proactively
Evaluate readiness as soon as a method transfer begins by digitally comparing sponsor method definitions with lab capabilities to automatically surface risks.
Execute efficiently while accommodating change
Continuously refine procedures and controls as programs progress, with full traceability back to sponsor intent and justification.
A new operating model for analytical science
Successful analytical execution depends on lifecycle control. Not document management.
With QbDVision, analytical methods become an operating system that transforms static, disconnected procedures into a living system that scales across sites, modalities, and programs.
This delivers predictable execution, accelerated timelines, reduced cost, and unified quality, that aligns analytical development with the model-driven expectations of ICH Q14, Q2(R2), and regulators.
Share knowledge, not just documents
Digital Method Definition by design
Define analytical methods as structured, digitally native entities, including analytical targets, parameters, performance characteristics, procedures, controls, and justification, managed with full governance across the lifecycle.
Lifecycle-driven method control and traceability
Maintain continuous traceability between method intent, analytical attributes, risks, and control strategies as methods evolve from development through transfer, validation, commercial use, and post-approval change.
Repeatable, risk-based analytical execution
Replace document-centric handoffs with governed digital method definitions that reduce ambiguity, surface risk earlier, and enable predictable execution across sites, labs, and partners.
Dive deeper with our CMC thought leaders
MORE INSIGHTS
The new draft guideline has been fully unveiled, and it’s truly comprehensive. Find out how it embeds Digital CMC in Modules 2 and 3.
MORE INSIGHTS
Learn how AQbD-inspired ICH Q14 and Q2(R2) are reshaping analytical procedure development—and how CMC programs can start preparing for compliance.
See what Digital Method Definition looks like in practice
Talk to our Digital CMC experts today.
