Veriom maintains a current, evidence-backed model of what your software system is, what was intended, and what changed.
Live system model
See how identity shapes the customer journey.
Veriom reconciles repository, cloud, and delivery evidence into one current relationship your team can inspect.
One shared model
Across architecture, security, and delivery
Explainable truth
Evidence, provenance, confidence, history
Focused reviews
Specialists work from the same context
Controlled action
Reports and changes remain approved
The working surface
The workspace connects current risk, review progress, architecture evidence, approved reports, remediation, and measured agent work without flattening uncertainty.
Architectural memory
Veriom reconciles repository, delivery, scanner, upload, and MCP evidence into a current system model instead of treating each signal as a separate truth.
See how it worksTeams make high-impact decisions using diagrams, findings, and assumptions that were created at different times. Veriom reconciles those fragments into one reviewable picture.
Move through four connected outcomes: current architecture, contextual risk, cited answers, and an action that stays behind explicit approval.
Acme production
A guided, illustrative workspace
Workspace evidence includes repository routes, cloud identity, release paths, scanner findings, MCP evidence, and human review.
Current relationship
Repository routes, imported clients, and cloud policy converge on the same service path.
Verified path
Route registration, imported client, and identity policy were observed in the same repository revision.
0%
confidence
Context boundary
Historical snapshots appear only when you ask for a comparison. Unsupported claims remain hypotheses or coverage gaps.
Authority boundary
The assistant can prepare a typed proposal. Existing role checks still govern reports, remediation, and publication.
Architecture, security, evidence, threat, diagram, remediation, and reporting specialists collaborate through typed artifacts. Every material conclusion remains inspectable.
Collect facts from the systems your team already uses.
Resolve identity, disagreement, confidence, and change.
Specialist agents examine one shared evidence model.
Deliver architecture, risk, and actions people can approve.
Governed AI
See the models configured today, the wider routing options under evaluation, and the boundary that stays consistent across providers.
Read the provider strategyUse the same system understanding before a review, during a risk decision, or when leadership needs a clear plan.
Build a current, explainable view before a major decision.
Prioritize structural exposure and affected capabilities.
Give owners the context, trade-offs, and next actions.
Make context, tools, boundaries, and approvals visible.
Practical methods, category comparisons, and operating patterns for teams reviewing architecture, security consequence, and governed AI.
Field note
Measure the evidence path before trusting the conclusion.
Uncertainty remains visible
A reproducible evaluation method for evidence coverage, citation validity, decision usefulness, isolation, replayability, and measured cost.
Field note
Turn scattered observations into reviewable architectural truth.
Provenance stays attached
How code, repository, and cloud security tools work with architecture intelligence—without pretending one category can replace every other tool.
Field note
Bound every specialist to the same verified context.
Agent work stays inspectable
Learn how to separate model capability from evidence access, tool authority, retention, caching, and cost attribution for secure agent workflows.
Field note
Follow identity and data across the boundaries that matter.
Reachable paths are explained
A secure pattern for API-key authentication, ZIP ingestion, structured evidence, provenance, and bounded audit actions through MCP.
Build with us
Follow the path from private launch to deeper cloud evidence, provider choice, change intelligence, runtime reconciliation, and durable architecture memory.
Explore the roadmapPrivate launch
Design partners
Broad availability
Veriom replaces fragmented architecture-review work: manually reconciling diagrams, technical evidence, security findings, and review notes into a decision people can trust.
No. The map is the interface. The product underneath is a canonical model of entities, relationships, provenance, confidence, contradictions, and history.
Specialist agents receive bounded context and return typed, evidence-linked artifacts. Deterministic checks and evidence validation remain separate from model reasoning.
Yes. Reports and remediation remain human approved. Veriom does not automatically merge changes.
Request a private evaluation or explore the interactive product walkthrough on your own.
Configured production models are different from provider options under evaluation.
OpenAI
openai/gpt-5.6-luna$1.00 in · $0.10 cached · $6.00 out
Routing, classification, formatting, and citation verification
Chosen for high-frequency routing and verification where latency and disciplined structure matter more than maximal depth.
OpenAI
openai/gpt-5.6-terra$2.50 in · $0.25 cached · $15.00 out
Architecture analysis, security review, and remediation proposals
Chosen for the security and architecture steps that need deeper reasoning over a deliberately bounded evidence set.
OpenAI
openai/gpt-5.6-sol$5.00 in · $0.50 cached · $30.00 out
Explicitly approved reviews that need the highest reasoning budget
Reserved for explicitly approved work where the expected decision quality justifies the largest reasoning and cost envelope.