Build with AI.
Ship with Confidence.
AI can now write code faster than any team can review it. Vyazen Continuum is the layer that makes AI aware of your environment and keeps the speed accountable — every architecture decision, every token spent, traced back to a human-approved intent.
ledger reconciliation · recon-v2
- ○Starting up—
- ○Research—
- ○Clarifying—
- ○Implementation—
- ○Verification—
- ○Review—
- ○Applying fixes—
- ○Wrapping up—
Enterprise SDLC breaks where AI can't see
Coding copilots and autonomous agents generate code fast. What they don't have is a shared, structural understanding of your system — its architecture, its dependencies, its regulatory constraints. Vyazen Continuum closes each gap directly.
Business logic is scattered
Code, docs, tickets, schemas, and tribal knowledge live in different systems. Every agent sees a different fragment — and fills the rest in with assumptions.
One structural graph
Your multi-repo codebase, DB schemas, stored procs and IaC compiled into one structural graph. Not embeddings, not fragments retrieved on a guess. Every agent works from the same grounded understanding of your system.
No governance on agent output
Agent-driven development can 5–10× output. Review, security checks, and architectural compliance can't scale linearly to match — governance breaks first.
Governed, test-driven SDLC
A test-driven workflow enforced above the coding agent, not left to it. Specs, task decomposition, implementation, and test validation run as governed stages — each one checked before the next begins.
Disconnected from the tools engineers use
Tickets, scanners, observability, and runbooks stay outside the loop. Agents work blind to signals your team already has.
Connected to your existing stack
The graph and workflow connect outward — to your existing code review tools, security scanners and observability stack. Governance doesn't require replacing what your team already runs on.
The advantage compounds as codebases grow
Retrieval quality on a 200K LOC codebase doesn't predict what happens at 2M LOC. We benchmarked Vyazen Continuum against Claude Code on both.
Performance gap widens at scale. On the 10× larger repo, Vyazen's lead grows from +13 → +23 points on Source Adherence and +10 → +25 points on Retrieval Accuracy.
Deployment choices. Zero compromises on control.
Continuum adapts to your infrastructure and compliance posture — not the other way around. Vyazen has deployment access only for updates and support. No runtime access to your code or data, in any configuration.
Fastest to deploy
Vyazen-hosted, with the same governance and context graph as on-prem. Best fit for teams without a hard data-residency requirement.
Captive on-premise
Runs entirely inside your environment. Vyazen supplies and manages the model layer — open-weight or licensed — so no code or data ever leaves your infrastructure.
Full model-layer control
Bring your own LLM provider — Anthropic, Azure OpenAI, or private — Continuum's governance and context graph run against it unchanged.
How we work with you
Vyazen is deployed into your engineering team to modernize how you build software — with Forward-Deployed Engineers and ongoing consulting embedded alongside your team, not handed off after go-live.
Engineering Assessment
We index your codebase, map your workflows, and identify where governance gaps sit. Fixed scope, concrete output — a clear picture before any further commitment.
Platform Deployment
Continuum is deployed into your environment — SaaS or on-prem. The context graph is built on your live codebase. Your team is onboarded to the governed workflow.
FDE Enablement
Forward-Deployed Engineers embed with your team, running the governed SDLC on real work — not a sandboxed pilot.
Ongoing Advisory
Continued FDE and consulting support as your codebase, team, and governance needs evolve.
Vyazen's own team uses Continuum to execute your modernization project directly — you get the outcome; we own the delivery and the governance.
Codebase Documentation
Functional docs, a living wiki, and dependency/data-flow maps generated from your source — logic captured as it behaves, not as remembered. Tech-debt hotspots flagged and ranked.
Codebase Reviews
Independent, graph-powered review across security, architecture, quality, and tech-debt. 100% of the estate reviewed, no sampling. One-time audit or continuous governed review on every merge.
Legacy Modernization
Behaviour-preserving migration to a modern stack. Tests generated from existing code first — the new stack must pass the same tests as the old. Delivered in parallel with your engineers.
Stored Procedure Optimization
PL/SQL and T-SQL parsed into the graph as first-class artifacts. Bottlenecks and anti-patterns found with evidence, then refactored under behaviour-preserving tests.
Start with an Engineering Assessment
Fixed scope. A clear picture of where your engineering organization stands, and which engagement model fits — before any further commitment.