Platform architecture
A staged system for analytical development
Methodra is structured as a governed workflow: what enters each stage, what the system adds, what leaves as evidence, and where scientist approval is held.
What happens inside the system
Three layers stay separate
Evidence, recommendation, and approval are kept distinct so the workflow stays legible under review.
Evidence layer
Grounded context, working assumptions, results, and challenge findings stay tied together.
Decision layer
Recommendations stay separate from approvals so the workflow never confuses one for the other.
Human layer
Scientists set objectives, run lab work, and decide what is ready to advance.
The five-stage system
Each stage turns input into a reviewable handoff.
The important change is not that there are five boxes. It is that each stage produces something concrete, visible, and usable by the next one.
Ground
Establish the facts before any recommendation enters the workflow.
Input
Sequence data and known context.
What Methodra does
Compute the molecular context that anchors later decisions.
Output
A grounded starting point for the rest of the workflow.
Standard
Facts before opinions.
What moves next
Context record moves into assessment.
Assess
Rank what matters before designing the method.
Input
Grounded context and development goals.
What Methodra does
Compare independent assessments and judge the strongest rationale.
Output
A prioritized strategy the team can defend.
Standard
Consensus, not compromise.
What moves next
Strategy package moves into design.
Design
Turn strategy into an experiment the team can actually run.
Input
Approved strategy and target methods.
What Methodra does
Propose methods, ranges, and experiment plans.
Output
A design that is ready for lab review.
Standard
Designed for power, not convenience.
What moves next
Design package moves into execution and challenge.
Challenge
Stress-test the method before the lab or receiving site does.
Input
Results, analysis, and proposed boundaries.
What Methodra does
Probe risk, transfer assumptions, and edge cases.
Output
Clear challenge findings tied to the method.
Standard
Break it before the lab does.
What moves next
Challenge findings move into proof.
Prove
Pass the gate or fail.
Input
Stage outputs and supporting evidence.
What Methodra does
Run deterministic checks and hold for approval.
Output
A method that advances with evidence or stops.
Standard
No method passes without proof.
What moves next
Decision package is approved or held.
Quality gate model
A gate is where the flow stops and proof has to speak.
The workflow separates what the system can prepare from what the team can actually accept. That is why gates are interruption points, not decorative status labels.
Recommendation layer
The system can generate options, but recommendation is not the same as approval.
Deterministic layer
Each phase is tested for completeness, consistency, and readiness before anything moves on.
Approval layer
The workflow pauses for an explicit scientist decision instead of auto-advancing through uncertainty.
Gate sequence
Each phase ends at a real decision point.
Gate 1
Strategy is grounded and reviewable.
Gate 2
Design is explicit and ready for lab review.
Gate 3
Readiness, challenge findings, and transfer risk are resolved.
Data and decision flow
Evidence and decisions move on different lanes.
That separation matters. The evidence keeps accumulating while the decision lane pauses, reviews, and approves.
Evidence lane
What the workflow carries forward
01
Molecule and context
The starting evidence is the molecule, the known context, and the development reality.
02
Grounded record
Methodra turns that input into a shared factual baseline for later decisions.
03
Strategy package
Independent reasoning is compared before the platform recommends a path.
04
Design package
The method plan becomes reviewable instead of staying embedded in discussion.
05
Results and challenge findings
Experimental results and challenge outputs return to the same evidence record.
06
Decision package
The workflow prepares something a scientist can explicitly approve, hold, or reject.
Decision lane
Where scientists intervene
Set objectives
The team defines what matters and what success should mean.
Review strategy
Scientists evaluate the recommended path before design moves on.
Run the work
Lab execution remains a human activity, not a simulated substitute.
Approve progression
Important gates are real decisions, not automatic transitions.
Why the split matters
Evidence can keep getting richer without implying that recommendation and approval are the same event.
Human boundary
The lab, the interpretation of results, and the approval to advance remain visible human responsibilities across the whole flow.
Early access
Put your next method under pressure before the lab.
Request access to see how Methodra helps analytical teams ground strategy, challenge weak assumptions, and hold decisions to evidence.