Decision support for engineering leaders

Make engineering decisions with signals you can trust.

Connect delivery, review, pipeline, and AI usage in one governed workspace with source confidence visible.

Request early access See product proof

Self-hosted. Privacy-aware. Built without employee rankings.

Jira GitHub Jenkins
Governed workspace Ertiq
Where is delivery slowing down? How does AI usage relate to delivery flow?
Ertiq individual engineer view with governed engineering signals and source context

Leadership blind spots

Activity is easy to count. Delivery clarity is harder.

Disconnected systems leave leaders with partial answers and no clear way to judge whether the underlying data is ready for a decision.

Delivery

Activity without delivery clarity

Tickets, pull requests, and builds can rise while bottlenecks and rework remain hidden.

AI context

AI adoption without context

Usage volume alone does not explain review load, pipeline flow, rework, or delivery health.

Trust

Reporting without confidence

Fragmented updates hide source freshness, coverage gaps, and low-confidence data.

Decision-ready answers

See the system around the metric.

Ertiq connects operational signals, then keeps their freshness, coverage, and confidence visible beside the answer.

01

Delivery dashboards

Review delivery health, bottlenecks, and operating trends from one workspace.

02

AI usage in context

Review Copilot and provider activity beside delivery flow, review load, and workflow quality instead of treating usage as proof on its own.

03

Review and pipeline flow

Inspect review queues, pipeline health, issue detail, and workflow warnings without ranking people.

04

Visible source health

Keep freshness, coverage, confidence, and low-confidence data visible near relevant metrics.

5 core reporting views

Team Metrics, Copilot Usage, Combined Impact, Pipeline Health, and engineer or issue detail.

0 employee rankings

Ertiq supports workflow decisions, not individual scores or disciplinary recommendations.

4 trust signals

Source health, freshness, coverage, and confidence stay visible beside the metrics.

Product proof

See the context behind every engineering signal.

Ertiq brings delivery flow, AI usage, pipeline health, and source confidence into one governed workspace built for leadership decisions.

Ertiq engineering overview with delivery, pipeline, AI usage, and source health signals
Engineering overview

Review delivery health, bottlenecks, AI usage, and data confidence without assembling another status report.

Ertiq localized workspace with engineering report details
Detailed workspace

Move from the leadership view into governed report detail while keeping source context visible.

AI measurement

Review AI usage beside operational context.

Ertiq shows AI activity alongside delivery, review, pipeline, and source signals. Interpretation stays descriptive, while provider use follows workspace governance.

  • Cycle-time signal
  • Review-load signal
  • Rework signal
  • Pipeline flow
  • AI usage
  • Source confidence
Self-hosted control

Run Ertiq in your controlled environment so engineering metadata and delivery history remain within your boundary.

  • Regulated teams
  • Privacy-aware buyers
  • Internal platform ownership
Workspace governance

Combine role-based workspace access, provider governance, refresh controls, and job history when teams need explainable reporting operations.

  • Role-based access
  • Provider controls
  • Audit-friendly workflows

Enterprise readiness

Connect the stack without losing governance.

Use confirmed source integrations with workspace roles, provider controls, self-hosted operation, and visible data confidence.

Project and knowledge work

  • Jira Cloud
  • Confluence

Repositories

  • Bitbucket self-hosted
  • GitHub

CI/CD and delivery

  • GitHub Actions
  • Jenkins builds
  • Jenkins deployments

AI and provider signals

  • GitHub Copilot
  • LM Studio
  • OpenAI-compatible APIs
  • Anthropic
Governance

Privacy-aware by default

Position the product around team workflows, workspace governance, and privacy-conscious analysis instead of individual scorekeeping.

Confidence

Workflow hygiene is visible

Freshness, source coverage, confidence, and hygiene warnings help buyers judge whether the numbers are ready for decisions.

Control

Built for controlled operation

Self-hosted deployment, workspace access, and multilingual readiness support governed teams.

Multilingual by design

Let every team use Ertiq in their own language.

Ertiq supports English, German, Hungarian, and Arabic experiences, including right-to-left layout. Unlike engineering tools limited to English or one or two translations, localization is part of the product experience.

Language belongs in the product

Navigation, reports, trust signals, and decision context remain understandable across supported languages.

Built for regional teams

Leaders and engineers can work from the same governed signals without forcing every discussion into English.

Right-to-left ready

Arabic includes right-to-left layout support rather than translated strings inside a left-to-right interface.

Who Ertiq is for

For leaders who need context without surveillance.

Ertiq fits engineering organizations that need governed decision support instead of raw activity dashboards, employee leaderboards, or ungoverned AI summaries.

Trust

Measure the workflow, not the person.

Keep the buyer story focused on team patterns, bottlenecks, and delivery decisions instead of simplistic individual productivity claims.

Context

Context beats raw activity.

A delayed ticket or quiet pull request can still reveal risk, overloaded reviews, missing source coverage, or weak workflow hygiene.

Outcome

AI is reviewed beside outcomes.

The message stays credible when AI usage is shown beside flow, quality, review, and cost signals instead of being sold as automatic acceleration.

CTOs and Heads of Engineering

Need one place to review delivery health, AI usage context, and trust signals before making org-level calls.

Engineering Managers

Need better evidence for planning, retrospectives, process changes, and stakeholder conversations.

Founders and operating leaders

Need engineering reporting that is easier to understand, easier to trust, and easier to explain across markets.

FAQ

Questions that affect adoption.

Clear answers on monitoring, AI interpretation, supported systems, deployment, and early access.

Is this employee monitoring?

No. Ertiq shows team workflows, delivery context, and source trust signals. It does not create employee scores, rankings, hidden grades, or disciplinary recommendations.

How is AI usage interpreted?

AI usage is shown beside delivery, review, pipeline, and workflow signals. Ertiq keeps the interpretation descriptive and does not claim that AI caused an outcome.

Which tools are supported today?

Ertiq supports Jira, Confluence, Bitbucket, GitHub, GitHub Actions, Jenkins, GitHub Copilot, LM Studio, OpenAI-compatible APIs, and Anthropic.

How are privacy and deployment handled?

Ertiq supports self-hosted, workspace-based operation with role boundaries and provider governance. Low-confidence and partial data remain visible.

What does early access involve?

Early access starts with a fit and deployment conversation. Scope, supported systems, governance needs, and next steps are agreed before setup.

Start with clarity

Make the next engineering decision with context.

Request early access to discuss your systems, deployment boundary, governance needs, and evaluation scope.

Request early access

No employee rankings. No hidden AI grades. No causal claims.

  • Delivery dashboards
  • AI usage in context
  • Localization-ready buyer experience