FDEmax

Services

Delivered inside your environment, or not at all.

We do not sell standalone software. Every capability below is deployed and operated by forward deployed engineers inside your stack, with approval checkpoints, audit logs, and enterprise access controls.

01Legacy Modernization

Your oldest systems, made secure and fast.

The systems that run your business are often the ones nobody wants to touch. Our FDEs specialize in exactly those: upgrading frameworks and runtimes, closing security gaps, and cutting latency and build times, without a risky big-bang rewrite. Work lands as a stream of small, reviewed pull requests against the code you already run.

What this enables

  • Framework, runtime, and dependency upgrades with regression coverage
  • Performance work: profiling, query tuning, caching, build-time reduction
  • Strangler-pattern migrations instead of big-bang rewrites
  • Test scaffolding around untested code before anything changes

CIO outcomes

  • Measurably faster systems: p95 latency and build times, before and after
  • A shrinking list of known vulnerabilities in the legacy estate
  • Upgrades stop being a feared annual project and become routine

02Continuous Security Remediation

We do not just detect risk. We close it.

Scanners produce lists; someone still has to do the work. Our agents triage findings by real exploitability, generate candidate patches with regression validation, and open pull requests your team reviews. The embedded FDE owns the stubborn cases that need human judgment.

What this enables

  • Risk-based prioritization of exploitable vulnerabilities, not raw CVE counts
  • Automated patch generation with regression validation
  • Dependency and base-image updates as a continuous stream of PRs
  • Remediation integrated into your existing CI/CD, not a parallel process

CIO outcomes

  • Mean time to remediate drops from months to days
  • Audit-ready trail: every fix is a reviewed, merged pull request
  • Security debt trends down while feature work continues

03Autonomous FinOps Governance

Cost control becomes structural, not reactive.

Cloud overspend is an engineering problem wearing a finance costume. We deploy an AI-driven cost layer inside your accounts that watches spend patterns in near real time and enforces the policies you set, with corrective actions proposed as changes you approve.

What this enables

  • Cross-cloud anomaly detection in near real time
  • Policy-based cost controls with automated corrective actions
  • Rightsizing and cleanup proposals as reviewable infrastructure changes
  • Spend visibility mapped to teams and services, not just accounts

CIO outcomes

  • Overspend caught in hours, not on next month's invoice
  • Structural guardrails that prevent regressions after the cleanup
  • Engineering and finance argue from the same numbers

04Git-Native Agents

AI that works where your code lives.

Our agents do not live in a chat window. They live in your repositories and CI: reading the codebase, running the tests, and opening pull requests with clear descriptions. The PR is the unit of work, review is the control point, and your git history is the audit trail. This is the engine behind every other service we run.

What this enables

  • Agents scoped to your repos with least-privilege access
  • Every change ships as a PR with tests and a rationale
  • Human approval gates: nothing merges without review
  • Full audit trail in the tools you already use

CIO outcomes

  • AI throughput without AI chaos: velocity with a review gate
  • No new platform to buy, learn, or secure
  • Institutional knowledge accumulates in commits, not chat logs

Engagement Models

Start small. Scale on evidence.

Both models run the same delivery system: embedded FDEs, git-native agents, and governance from day one. No pricing games, no long minimums.

Step one

FDE Pilot

30 days, one system

A senior FDE embeds in week one, production pull requests merge from week two, and you get before and after metrics plus a roadmap you own either way. Success criteria defined on day one.

Start an FDE Pilot

Step two

Embedded FDE

Ongoing, month to month

Continue with a standing FDE engagement across your estate: modernization, security remediation, FinOps, and feature delivery under one accountable delivery model. Scale capacity up or down as the roadmap demands.

Discuss an engagement

Ready to see it running in your stack?

Talk to an FDE