Build faster with Codex.

Real impact comes when Codex is embedded into your production SDLC — accelerating features, tests, and migrations into a pace your roadmap has never seen before.

Why Codex, Why Now

Individual adoption is only the first step.
‍Scaling organizational throughput is the real challenge.

The companies pulling ahead aren’t just experimenting. They’re rethinking how they work. They’re realigning strategy, tools, and talent around a new way of operating— faster, smarter, and powered by AI at the core. We built Eliza to help them do it.

The Gap Today

Scattered usage, no leverage.

  • Inconsistent setup across teams
  • No governance or security posture
  • No evidence leadership can defend
  • Gains stay individual, not systemic
WHAT ELIZA DELIVERS

End-to-end governed agentic SDLC.

  • Embedded into your tools
  • Compliant with your security posture
  • Backed by metrics that matter
  • Fully autonomous development from trigger to PR

Developer work already in production.

5x Engineering Output With Agentic SDLC at a $1BN Insurance Company

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Accelerating Agentic Engineering With Codex at Rootstrap

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Global Internal Automation Agents for a $50BN CPG

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Codex for Developers

What you can expect.

Four outcomes every engagement is built to deliver.

VELOCITY

Your roadmap, faster.

Shorter PR cycles, more features per sprint, and legacy migrations completed in weeks on the work that matters most to your roadmap.

GOVERNANCE

Secure by default.

SSO, policy controls, access tiers, and audit trails. Fits your security model—so adoption scales without risk.

INTEGRATION

Embedded, not bolted on.

Codex runs inside the IDE, Git, CI, Jira, and Slack—where engineers already work. Not in a side tab.

MEASUREMENT

Velocity, visible.

Dashboards track adoption, cycle time, PR throughput, test coverage, and defect rates—so impact is visible and repeatable.

The 12-week Transformation Program

A proven playbook to activate Codex across your engineering org.

Twelve weeks to turn AI coding from scattered experimentation into measurable gains in velocity, quality, and developer happiness — without risking your codebase.

Weeks 1-3
‍

Foundation & Assessment

  • Baseline every engineer and code base to find the real velocity bottlenecks.
  • Stand up an enterprise-safe AI coding environment with guardrails in place.
Weeks 4-8
‍

Tooling, Coaching & Integrations

  • AI embedded into IDE, PRs, and Jira — where engineers actually work.
  • Requirements-driven patterns: AI drives implementation, refactors, and TDD.
Weeks 9-12
‍

Build, Measure & Scale

  • Velocity quantified: cycle time, PR throughput, coverage, defects, dev satisfaction.
  • Capstone hackathon — build real features on your backlog; execs pick the products, engineers ship them.