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Ops EfficiencyEstablished · 10 yrs on market

Zenhub

Advanced project management that runs in GitHub, not beside it.

By Zenhub · 4.0/5 Value-Position score (estimate)

Positioning guardrails

Best for

  • Software engineering teams already working in GitHub that need epics, roadmaps and sprint reporting without a separate tool
  • Engineering leaders who need cross-team visibility and velocity reporting tied directly to code activity
  • Agile teams wanting automated sprint planning, planning poker and workflow automation inside GitHub
  • Organisations that need a self-hosted or on-premise option for GitHub project management
  • Tech consulting firms managing multiple client GitHub organisations (up to 10 on Enterprise)

Ideal size: 10–200 engineers people · Scale-up engineering org with GitHub as its source of truth

Not for

  • Teams whose code does not live primarily in GitHub
  • Non-technical departments needing general project management, docs or CRM
  • Large enterprises wanting unlimited users and repos on a low-cost per-seat plan (Free and Teams cap users at 50)
  • Buyers wanting a fully managed SaaS only — the richest security controls and self-hosting sit on Enterprise

Value metrics scorecard

Time-to-Value

1–3 days

~2 days to first production value

Total Cost of Ownership

$3,000/yr

Starts at $60 · Per user, per month: Free tier, Teams at $4.99/user/mo billed yearly (annual payment gives about 33% off), Enterprise quoted; pay-as-you-go via Stripe, no contracts

Implementation Friction

2/5

Engineering + admin effort required

Value-Position score

4.0

out of 5 · model estimate

Full cost breakdown

Mandatory implementation fee

None

Seat tiers

Free and Teams: up to 50 users, 1–10 workspaces. Enterprise: unlimited users and workspaces, up to 10 connected GitHub organizations.

Add-on costs

  • Enterprise-tier capabilities are gated rather than priced: self-hosted on-prem, advanced admin/security, Figma/Loom/Miro integrations, priority support, shared Slack channel and live guided onboarding

Company & support

Who is behind Zenhub, and how your team gets help once it is live.

Company

Founded
Not recorded
Headquarters
Not recorded

How you get support

  • PhoneNot listed
  • EmailAll plans
  • Live chatEnterprise only
  • Support portal / ticketsNot listed
  • Community forumAll plans
  • Help centre / docsAll plans
  • Dedicated account managerEnterprise only
  • In person / on-siteEnterprise only
Hours
Not recorded
Response time
Not stated

Community and email support are listed on every plan, including Free. Enterprise adds priority support, a shared Slack channel with the Zenhub team, a dedicated support manager and live guided onboarding and team training. No support hours or response-time SLA are published.

“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.

Market position

Where Zenhub sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.

Quadrant view

Typical annual cost × Time-to-value

$240/yr$4k/yr$8k/yr$11k/yr$16k/yr1d4d7d11d15dAnnual TCO ← betterDays to value better →Quick & CheapQuick & PriceySlow & CheapSlow & PriceyZenhubRunnCanopyScratchpadNiftyPlane

The lines cross at the median of the solutions shown, so about half sit on each side of each line.

Zenhub is outlined. Click any dot to open its dossier.

Companies on the chart 6 / 10

  • Zenhub
  • Runn
  • Canopy
  • Scratchpad
  • Nifty
  • Plane
Add or change companies

Up to 10 companies including Zenhub. Listed closest first.

Stack fit signal

Compatibility with standard B2B ecosystems.

MCPNot supported

No supported MCP path today, so it cannot be driven from an AI client.

SalesforceNot supported
AWSNot supported
SnowflakeNot supported
HubSpotNot supported
Google WorkspaceIntegration
Microsoft 365Not supported
SAPNot supported
SlackNative

AI & MCP readiness

What Zenhub ships in AI, and what it asks of your ecosystem.

AI features shipped

AI added to an existing product
NLP automationDocument processing

Zenhub AI generates issue labels, sprint review summaries and acceptance criteria, and the homepage promotes Thor, an AI project manager in Slack. AI suggested labels are on Teams; AI acceptance criteria, AI sprint review and workspace automations are Enterprise only. AI is not sold separately.

Your data & models

Trains on your data
Never trains on your data
Runs on
OpenAI, Mistral
AI pricing
Included in the plan

In your ecosystem

AI connection
Not supported
Model key
Vendor's key
AI usage audit
Not recorded

Compliance attestations

SOC 2 — not listedISO 27001 — not listedGDPR — not listedHIPAA — not listedFedRAMP — not listedISO 42001 — not listedIAPP AIGP* — not listed

* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.

Bottom line

Zenhub layers project management directly inside GitHub: epics, sub-issues, roadmaps, sprint automation and engineering reporting, plus AI for issue labels, acceptance criteria and sprint reviews. The Free plan suits small teams; Teams costs $4.99 per user per month; Enterprise adds self-hosting, advanced security and a dedicated support manager with live onboarding. Best for software organisations already committed to GitHub that want agile structure and reporting without leaving the code platform.

Frequently asked questions

How much does Zenhub cost per user?

The Free plan is $0 and covers a single workspace, up to 50 users and up to 2 repositories. The Teams plan is $4.99 per user per month billed yearly and adds up to 10 workspaces, up to 50 repositories and AI suggested labels. Enterprise is quoted by sales and adds unlimited users and repos, self-hosting, advanced security and dedicated support. Annual payment gives roughly 33% off (four months free), and there are no contracts to sign.

Do we have to use GitHub to get value from Zenhub?

Yes. Zenhub is built as a layer on top of GitHub: you create a Zenhub org, link your GitHub organization and it syncs issues, pull requests, repositories and permissions, with two-way sync and no separate data store. Non-GitHub users can view GitHub issues only on the Enterprise plan, so teams outside GitHub need Enterprise seats or a different tool.

Does Zenhub train AI models on our data?

No. Zenhub states that it does not train or fine-tune models on customer data: prompts are sent for inference only and providers are contracted not to use that content to improve their foundation models. Its privacy policy adds that AI models run on Zenhub's private cloud and that customer interactions are not used in retraining loops for other customers.

Can we run Zenhub on-premise?

Yes, via Zenhub Enterprise Server, which is offered only on the Enterprise plan. On-premise deployments get the same project management capabilities plus the option to run Zenhub AI against a model your organisation controls, which matters for teams with strict data residency or model governance requirements.

Which AI features are included, and on which plan?

AI suggested labels are included from the Teams plan upward. AI acceptance criteria, AI sprint review and workspace automations are Enterprise only. Zenhub AI is included in the Enterprise plan price rather than sold as a separate add-on, so there is no separate AI meter to manage.

How long does Zenhub take to implement?

Deployment is light: create a Zenhub org, connect it to your GitHub organization and grant access, and GitHub data syncs automatically, with sprint and agile reports such as velocity and burndown enabled by default. Simple teams are productive within days. Enterprise adds self-hosting, SSO/identity controls and live guided onboarding, which lengthens rollout.

Zenhub Review: TTV, TCO & Best Fit (1–3 days to value) | Value-Position