Knowledge lives in people’s heads
Critical context disappears when experienced engineers move teams or leave the organization.
Enterprise knowledge + operations
Know how your data platform works. Modernize it with evidence.
Memora connects code, metadata, lineage, runtime evidence, and architecture into trusted knowledge for onboarding, operations, impact analysis, and modernization.
READ-ONLYEvidence collection
TRACEABLEAnswers and impact
HUMAN-APPROVEDEngineering outputs
MEMORA / EVIDENCE GRAPHLIVE MODEL
MemoraTRUSTED CONTEXT01Code + artifactsintent
02Platform metadatadeployed truth
03Runtime evidencewhat happened
04Architecturetarget state
05Decisionsapproved meaning
COLLECTCOMPILEEXPLAINREVIEW
CATALOGLINEAGEOPERATIONSMODERNIZATIONGOVERNANCE
01 / The problem
Your platform runs on knowledge that is hard to find and easy to lose.
Evidence is fragmented
Code, jobs, metadata, runtime history, documents, and architecture rarely tell one coherent story.
Modernization starts without context
Teams redesign platforms before proving what legacy workloads actually do and why they matter.
02 / Operating loop
Connect once. Reuse the knowledge everywhere.
One governed evidence model supports understanding, support, impact analysis, onboarding, and modernization.
Connect
Approve source folders, repositories, architecture documents, and read-only platform connections.
CODE · METADATA · RUNTIMECompile
Build a canonical catalog linking workloads, jobs, packages, objects, dependencies, and evidence.
CATALOG · LINEAGE · BASELINEExplain
Answer questions with citations, confidence, limitations, and clear separation of fact from inference.
ASK · IMPACT · ONBOARDAct safely
Generate reviewable mappings, tests, scaffolds, and runbooks while humans retain approval.
MAP · VALIDATE · REVIEW03 / Product outcomes
One knowledge layer. Four connected experiences.
UNDERSTAND01
Trace how work really moves through the platform.
Explore workload purpose, source-to-target lineage, dependencies, ownership, evidence freshness, and unresolved gaps.
OPERATE02
Investigate failures with context.
Connect runtime evidence to the job, package, affected data, dependencies, and approved runbook.
Evidence collected Impact identified Action remains controlled
MODERNIZE03
Generate from verified behavior.
Review source-to-target mappings and create engineering starting points for dbt, SQL, tests, reconciliation, and migration.
ONBOARD04
Turn institutional memory into durable knowledge.
Help new engineers understand complex workloads without repeating the same discovery process.
04 / Trust model
Facts first. AI explains only what the evidence supports.
Memora is designed for controlled enterprise environments. Deterministic collectors establish system facts; AI works over selected evidence and exposes confidence and limitations.
Discuss your security requirements ↗Read-only discovery
Approved collectors inspect metadata and runtime evidence without changing production systems.
No invented lineage
Verified, inferred, conflicting, unresolved, and stale evidence remain visibly distinct.
No autonomous deployment
Generated outputs remain reviewable proposals until approved, tested, and released through existing controls.
Graceful model failure
Deterministic catalog and lineage access remain available even when an external model is unavailable.
05 / Pilot scenario
From legacy uncertainty to a reviewable modernization path.
An anonymized example of the Memora workflow for a complex enterprise data workload.
ASK MEMORA
“This nightly workload failed. What broke, what is affected, and what should we check next?”
01Bind runtime evidenceJob · step · package
→
02Trace impactSources · targets · consumers
→
03Explain limitsVerified · unresolved
→
04Recommend next checksApproved runbook
Start with one workload
Make your platform’s knowledge usable before it disappears.
A focused Memora pilot connects one meaningful workload and proves value across understanding, operations, onboarding, and modernization.