Your AI spend is up. Your cycle time isn’t down.

ArcticRex is the control plane for engineering AI—so copilots and agents understand how your engineering organisation works, and delivery metrics actually move.

See the control plane Talk to us Free AI rollout consultation
4×daily active AI usage 40%faster ticket implementation 20%shorter end-to-end cycle time 350-person engineering org proven

The problem

AI without organizational context is just autocomplete at scale. More code. More agents. Same cycle time—because AI doesn’t know how your engineering org actually works.

Systems & workflows

Which services are fragile, where work gets stuck, and who actually unblocks it.

Constraints

Your risk posture, approval chains, and what compliance actually requires.

History

The incident that shaped the architecture, the decision behind the workaround, the “why”.

Market context

What you’re building toward, which customers care, and why this quarter matters.

What teams say

  • “I spend more time fixing AI output than I would’ve spent writing it myself.”
  • “It doesn’t know our stack. It keeps suggesting patterns we deprecated two years ago.”
  • “Everyone’s prompting differently. There’s no consistency across the team.”
  • “Sure, the AI can write code faster. But the PR review cycle is even slower now.”

The control plane for engineering AI

ArcticRex pulls from code, tickets, incidents, runbooks, and policy docs—then controls how that context shapes copilots and agents, wherever engineers work.

Capture & analyse

Pull the engineering knowledge that actually drives delivery: code, tickets, incidents, runbooks, and standards.

  • Connect GitHub/GitLab, Jira/Linear, Confluence, PagerDuty
  • Curate reusable decisions, patterns, and examples
  • Detect drift and gaps as the org changes
  • Make knowledge reviewable and auditable

Control & inject

Choose and control how context shapes AI behaviour so output aligns to your stack, standards, and risk posture.

  • Policy packs, approvals, and scoped actions
  • Guardrails that enforce “how we do things here”
  • Least-privilege access for tools and environments
  • Governance that travels with AI use

Work in context

Deliver the right guidance and actions directly in the flow of work: IDE, chat, ticketing, and code review.

  • VS Code, JetBrains, Claude Code, Codex CLI and more
  • Slack and Teams surfaces
  • Ticket and PR review workflows
  • Consistent answers across the whole team

Measure results

See what’s shifting: adoption, bottlenecks, and leading indicators that correlate to delivery outcomes.

  • Usage and adoption by team, repo, and workflow
  • Gap detection shows where AI can’t find the answer
  • Guardrail events, approvals, and audit-ready logs
  • Evidence to steer rollout and investment

With ArcticRex:

  • AI output matches your stack and engineering standards
  • Teams get consistent results—not “everyone prompting differently”
  • Less rework because context and guardrails are embedded
  • Security can say “yes” because audit and scoping are built-in

You need a dial to control—not another dashboard to observe.

How it works

Five steps to move from scattered pilots to measurable engineering impact.

  1. Capture & analyse — pull from code, tickets, incidents, runbooks, and policy docs.
  2. Control & inject — choose and control how context shapes AI behaviour with guardrails and approvals.
  3. Work in context — deliver guidance and scoped actions into IDE, chat, tickets, and review.
  4. Measure results — track leading indicators and outcomes as rollout expands.
  5. Steer through context — see what works, adjust policy and knowledge, and keep compounding impact.

Why this matters

When AI understands your engineering organisation, delivery improves as a whole—not just for a handful of power users.

4×

daily active AI usage

40%

faster ticket implementation

20%

shorter end-to-end cycle time

Less

rework after AI output

More

consistent patterns across teams

Faster

onboarding to first PR

Security

can approve rollout with confidence

Don’t just “deploy AI”. Build the control plane so engineering accelerates.

Why ArcticRex

ArcticRex is built from hands-on experience leading an AI-enabled engineering transformation in a large cybersecurity organisation.

We’ve solved the practical blockers before—context gaps, inconsistent output, unclear governance—and delivered measurable, org-level delivery impact.

ArcticRex is the productized version of that approach, proven in a 350-person engineering organisation.

Principles

Trust & security

Built to bring Security along: ArcticRex is a zero-trust gateway for engineering AI with approvals, audit, and governance wired in. Dive deeper on the Trust & Security brief →

Before

Teams wire AI tooling directly into every surface—each IDE, bot, pipeline, and data source—so governance, policy, and audit have no single insertion point.

IDE Chat Ops CI/CD Prod Access Secrets Data Warehouse Issue Tracker Observability LLM APIs

After

ArcticRex becomes the control plane: engineers stay in their tools, while actions route through policy, guardrails, and audit before touching your stack or model providers.

Developers

IDE plugins, chat assistants, workflow hints delivered in the flow of work.

ArcticRex Control Plane

Policy packs, approvals, action registry, telemetry, and audit streaming.

Your Stack

Source, CI/CD, tickets, docs, environments—integrated with least-privilege actions.

LLM Providers

OpenAI, Anthropic, Bedrock, in-house models—brokered through your tenancy & keys.

Security leadership

Founded by the former CTO of Finland’s leading cybersecurity company; informed by independent incident response and compliance advisors.

Secure architecture & development

Secure SDLC with threat modeling, dependency scanning, environment isolation, and continuous application security testing.

Enterprise identity

SSO/SAML, SCIM, RBAC, and inherited MFA so least-privilege access follows your IdP policies from day one.

Zero-trust gateway

Approvals, scopes, and policy packs protect every AI action before it reaches code, data, or environments.

Full audit trail

Exportable, metadata-only logs streaming to your SIEM plus pen-test summaries under NDA.

Compliance roadmap

ISO 27001 & SOC 2 underway with independent auditors guiding current controls.

Explore Trust & Security brief

Integrations & compatibility

Connect your stack in minutes—no rip‑and‑replace.

GitHub GitLab Bitbucket VS Code JetBrains Slack Teams Jira Linear CircleCI GitHub Actions Argo PagerDuty Azure OpenAI Amazon Bedrock Google Vertex AI

Get started

Steer engineering AI through context. See what works. Adjust.

Free AI rollout consultation — a practical assessment of your engineering AI bottlenecks and control requirements.

Prefer email? contact@arcticrex.com

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