Carbon building blocks · faster value, tailored fit

Meet Carbon - our family of compliant AI agents

Carbon brings proven building blocks into the engagement, reducing the groundwork needed to reach production. We then shape the solution around your processes, systems, data, and decisions, so speed does not come at the cost of business fit.

A head start,
not a straitjacket.

We do not believe enterprises get the full value of AI by buying a finished product and bending their work around it. The advantage lives in the process details, data, decisions, and human judgment that are specific to the business.

The Carbon equation
We bring the repeatable engineering already built. Together, we design the part that must be yours.
Why we build ahead

Every engagement should begin from stronger engineering.

Model gateways, observability, approval gates, knowledge ingestion, agent runtime, and delivery patterns are difficult to get right. We build and harden those reusable parts inside CROZ, then bring them into the engagement as a stronger starting point.

Where we customize

Your workflow is where the value and differentiation live.

We shape data access, business rules, human approvals, integrations, operating model, user experience, and success measures around how your organization actually works.

What you get

Product-grade speed with custom-solution fit.

The engagement starts further ahead, but the outcome is not a generic CROZ product. It is an AI capability fitted to your processes and ready to evolve with them.

Four places where
we already did the work.

Each block solves a recurring enterprise AI problem. Explore every available product view, then see how we use one, combine several, or leave them aside when a fully custom architecture is the better answer.

LEGACY UNDERSTOOD

Carbon.modernize

Understand what your legacy systems actually do - before you touch them.

Point an LLM at a legacy system and you get confident guesses. Carbon.modernize starts deterministically instead: it parses and correlates the whole landscape - COBOL, PL/I, JCL, copybooks, batch jobs, vintage Java, .NET - into a verified representation of the application before any AI analysis begins. Findings trace back to the source that produced them, so modernization decisions rest on evidence rather than inference.

Deterministic parsing first, so AI reasons over a verified map instead of guessingEvery finding traceable to the source that produced it, and repeatable on re-runModernize component by component, each output verified against the original systemSource processed on-premises by default; your code never has to reach a public LLM
AGENT CONTROL PLANE

Carbon.run

A control plane that makes AI agents enterprise-safe.

Agents that can run unchecked are a governance liability. Carbon.run gives every agent a bounded, auditable place to operate: Kubernetes-native, with scoped tool access, real human approval gates, per-team cost budgets, and a full audit trail your SIEM already understands.

Every agent run is versioned, logged, and governable - not a black boxHuman approval gates that must be cleared before an agent takes consequential actionCost attributed per team with hard budgets - no runaway spend surprisesBuilt on your existing Kubernetes RBAC; audit trail exports directly to your SIEM
SUPERVISED AIOPS

Carbon.operate

AIOps with a human sign-off at every decision point.

Automation handles the planned work. The hard part is the unplanned - the incident no runbook anticipated. Carbon.operate investigates tickets and alerts, reasons over your live infrastructure, and proposes safe fixes. Nothing executes without a human approving it first. Every change is a reviewable pull request.

Natural-language incident investigation - no waiting for the one engineer who knows the systemMASTERMIND investigates · OPERATIVE executes · ARCHIVIST remembers - a governed crew, not a black boxProposed fixes arrive as reviewable pull requests; nothing executes without approvalWorks with your existing toolchain: Ansible, Terraform, SSH & kubectl - with policy guardrails
KNOWLEDGE WORKFLOWS

Carbon.know

Model the knowledge work your experts repeat - then run it every time.

Assembling a proposal, answering a security questionnaire, producing a report that has to match a standard: this is knowledge work, and it consumes the people you can least afford to tie up. Carbon.know models it. MCP connectors pull context from the systems it actually lives in, your best practices become validation the draft has to pass, and output arrives in your own template. Deployed per customer, so sensitive content never leaves your perimeter.

MCP connectors reach the systems your knowledge lives in, not a folder of uploadsYour best practices encoded once, then applied to every document that goes outAgents that find and cross-check answers, with citations your team can traceCapabilities model a repeatable process: proposal, report, questionnaire, review

Governance comes
with the head start.

Carbon.core supplies the shared capabilities every serious AI implementation needs. It can underpin Carbon blocks, a custom CROZ solution, or both.

Carbon.core

Carbon.core is CROZ's own AI platform and the foundation under every building block. Every model and every token passes through one gateway, under one policy, into one audit trail - with full tracing and evaluation on top, and the choice to run frontier cloud models, self-hosted models, or both. You get the governance layer without building it from scratch.

Gateway & Guardrails

Gateway, guardrails, access controls, full audit log, and cost controls. Policy-aligned AI usage you can demonstrate to auditors.

AI Sovereignty

Self-host models on your own infrastructure. No data leaves your environment unless you choose it. Scale across GPUs and nodes, and train your own.

Observability & Tracing

Complete tracing and evaluation dashboards across every agent run - not just uptime, but behavior.

Adoption & Cost

Token spend, model costs, and ROI tracked per team, per workflow, per project. Evidence of value for the board - as model costs keep rising.

Fast where it can be.
Custom where it counts.

The building block is a starting position. Delivery still begins with your business problem, and the solution is shaped by the process rather than by our asset catalogue.

Tell us what needs to work better.

We will tell you honestly whether a Carbon block gives the engagement a useful head start, whether several should be combined, or whether the right answer is a fully custom solution.

Discuss your workflow
Enterprise AI