Typo
Typo is an engineering intelligence platform that connects Git, Jira, CI/CD and AI coding assistants to measure delivery speed, code quality and developer experience, automate pull request reviews and quantify the real impact of AI.
What is Typo?
Typo is an engineering intelligence platform built for teams that now write software with AI in the loop. It plugs into the systems where engineering work already happens - GitHub, GitLab, Bitbucket or Azure Repos, Jira or Linear, CI/CD pipelines, Slack, and AI coding assistants such as GitHub Copilot, Cursor and Claude Code - and turns those scattered signals into a single picture of how software gets built, reviewed and shipped.
Four capabilities sit on that layer. AI Impact measures how much code is written with AI assistance, the acceptance rate, how adoption spreads across teams and individuals, and what that changes in cycle time, review time and deployment frequency; it also tracks AI spend by team, tool and model. Engineering Productivity covers DORA metrics, flow, quality and throughput measures, pull request insights, sprint tracking, daily worklogs, benchmarks, goals, investment distribution and executive or software capitalisation reporting. AI Code Reviews combine a foundational reasoning layer, a contextual layer pairing SAST with a context synthesiser, and an organisation-adaptive layer built on a knowledge graph and a feedback loop; the vendor reports more than a million pull requests reviewed and an acceptance rate above 80 per cent. Developer Experience adds automated surveys, DevEx heatmaps, a research-backed framework and burnout prediction.
Two further surfaces round out the product. Ask AI answers questions in plain language about delivery, bottlenecks, quality risks and team load, from the dashboard or from Slack. The Typo MCP server exposes pull request history, code health and delivery signals to Claude Code, Cursor and any MCP-compatible agent, with ready-made workflows for weekly reports, one-to-one preparation, sprint summaries and retrospectives.
Typo reports processing more than 15 million pull requests, 2 million repositories and 1 million tickets, and claims over a thousand engineering teams as customers, with published case studies ranging from 20 per cent more deployments to a 50 per cent improvement in pull request cycle time. The vendor states that it relies mainly on metadata, never stores the full code base, and never lets customer data train AI models. The product is SaaS only and is published by PeopleMint AI Pvt. Ltd.
What it does
- Measure how AI coding assistants such as GitHub Copilot, Cursor and Claude Code change delivery speed, code quality and rework
- Track DORA metrics, cycle time, deployment frequency, change failure rate and mean time to restore across every repository
- Review pull requests automatically, with summaries, line-by-line feedback and one-click fix suggestions
- Flag security risks in code during development through a hybrid AI and SAST engine
- Measure developer experience with automated surveys, DevEx heatmaps and burnout prediction
- Answer questions on delivery, bottlenecks and team load in plain language, in the dashboard or in Slack
- Feed pull request history, code health and delivery context to AI agents through the Typo MCP server
When to use Typo / When not to
A quick filter to help you decide if Typo is the right fit.
When to use Typo
- VPs and Directors of Engineering who need real-time visibility into delivery, quality and team health
- CTOs and technical founders who have to align engineering performance with business outcomes
- Engineering managers looking to unblock their teams and speed up pull request throughput
- Platform and developer experience leaders measuring workflow friction and the return on AI coding tools
- Engineering organisations of roughly 30 to 500 or more developers with established Git and code review workflows
When not to use Typo
- Teams shopping for a project management or issue tracking tool: Typo reads Jira or Linear, it does not replace them
- Managers who want to rate individual developers, a use the vendor explicitly rules out in favour of team and system-level insight
- Solo developers and very small teams: the free plan stops at five developers and the product targets 30 to 500 or more engineers
- Organisations that require an on-premise installation, since Typo is SaaS only and its on-prem support covers the customer's GitLab or Bitbucket
- Non-engineering functions and consumer use cases, which the terms of service exclude outright
How to use Typo
A typical end-to-end flow, from setup to results.
- Create an account on the Typo web application and start the 14-day Pro trial, which requires no credit card
- Connect your Git provider first: GitHub, GitLab, Bitbucket or Azure Repos, including a self-hosted GitLab instance
- Connect the issue tracker, whether Jira, Linear, GitHub Issues, GitHub Projects, ClickUp or Shortcut
- Connect the CI/CD stack: Jenkins, CircleCI, GitHub Actions, Azure DevOps, Heroku or a custom deployment webhook
- Connect the AI coding assistants you already pay for, so adoption and impact can be measured
- Add Slack for alerts, pull request workflows and Ask AI, and Google Calendar for meeting insights
- Let Typo import twelve weeks of history: the FAQ says the first tailored insights appear within the hour
- Follow the documented three-phase rollout: wire the data sources, configure metrics for analytics, code health and DevEx, then open the platform to the teams
- Map teams, repositories and projects, set benchmarks and improvement goals, and configure code health rules or merge-blocking quality gates
- Turn on single sign-on and role-based access, and point the MCP server at Claude Code or Cursor if your engineers work with agents
Pros & Cons
Pros
- One platform covers delivery, code quality, developer experience and AI impact, where most teams stitch several tools together
- Fast time to value: setup is measured in minutes, twelve weeks of history are imported, and the vendor promises insights within the hour
- A 14-day trial without a credit card, followed by a permanent free plan for up to five developers
- Public, readable pricing at 20 and 28 US dollars per developer per month on annual billing, with unlimited repositories, teams and admins on every plan
- A documented security posture: SOC 2, GDPR, single sign-on, role-based access, audit logs, no source code storage and no model training on customer data
- Broad integration coverage across Git, issue trackers, CI/CD, observability and Slack, plus connectors to the main AI coding assistants
- An MCP server that brings the metrics into the agents developers already use, instead of forcing another dashboard
Cons
- No postal address and no legal notice anywhere on the site, and the single published email address appears only in obfuscated form
- A confusing corporate identity: the publisher is an Indian company, the terms name Delhi courts, yet the site announces a Delaware headquarters
- SaaS only, with no on-premise deployment of the product itself; the on-prem support covers the customer's GitLab or Bitbucket
- Advertised prices assume annual commitment, and the monthly rate is never spelled out on the pricing page
- The free plan and its five-developer ceiling are documented in the help centre, not on the pricing page, and data history is capped at six months on Starter
- No hosting country or region is disclosed beyond the mention of Google Cloud infrastructure, and no subprocessor list is published
- No public API documentation, no mobile application and no browser extension; custom APIs are reserved for the Enterprise plan
Pricing & Plans
Typo offers a permanent free plan for up to five developers, which a workspace moves to automatically at the end of the 14-day Pro trial; the trial itself requires no credit card. The cheapest paid entry point is the Starter plan at USD 20.00 per developer per month on annual billing, with Pro at USD 28.00 per developer per month and Enterprise pricing available on request. Annual billing is advertised as up to 20 per cent cheaper than the monthly option, which can be cancelled at any time.
- up to 5 developers
- entered automatically at the end of the 14-day trial
- USD 20 per developer per month billed annually
- with delivery insights
- AI code impact
- team performance
- automated goals
- investment distribution
- software capitalisation
- developer experience
- USD 28 per developer per month billed annually
- adding code health analysis
- automated pull request reviews
- AI pull request summaries
- AI code fixes
- code coverage
- rules configuration
- extended data history and a dedicated success manager
- custom pricing
- adding on-prem Git and issue tracker support
- multiple Git organisations
- software capitalisation and custom integrations
Data, GDPR & hosting
A consolidated view of how Typo handles your data.
GDPR overview
Typo publishes a dedicated GDPR page and repeatedly states that the platform is SOC 2 and GDPR compliant; the pricing comparison lists a "SOC 2 & GDPR Compliant Platform" line on all three plans. The commitments named are concrete: pseudonymisation of employee personal information where possible, encryption in transit and at rest, timely restoration of availability after a physical or technical incident, and regular testing and evaluation of technical and organisational measures. The privacy policy points explicitly at Chapter 3 of the GDPR for data subject rights, routing requests through the customer's Typo administrator and then to hello@typoapp.io. The terms mention a Data Processing Addendum where applicable. No Article 27 representative and no data protection officer are named, standard contractual clauses are never mentioned, and no hosting country is disclosed.
Who owns the data?
Under the terms of service the customer keeps all right, title and interest in its Customer Data. In return the customer grants PeopleMint AI Pvt. Ltd. a worldwide, non-exclusive, perpetual and royalty-free licence to access, use, process, copy, distribute, export and display that data, limited to three purposes: running and improving the service, handling service, security or technical incidents, and producing anonymised aggregated data. That aggregated data is no longer Customer Data and belongs to Typo, benchmarking and marketing included, and the right survives termination for anonymised data and residual backups. Typo states it works mainly on metadata, never storing the full code base.
Reuse rights
Because ownership never transfers, customers can reuse their own data without asking permission. The platform ships CSV export, downloadable custom reports and a documented Git data export, while the Enterprise plan adds custom APIs and integration webhooks. The MCP server goes further and pushes pull request history, code health and delivery signals straight into Claude Code, Cursor or any MCP-compatible agent, so the data can be consumed outside the dashboard. What cannot be reused is Typo's own material: the terms forbid removing or altering proprietary notices and grant no rights over the platform itself. One asymmetry deserves attention: Typo may use the customer's company name and logo for marketing unless the customer opts out by email.
Data retention & training
Hosting summary
Typo discloses its infrastructure but not its geography. The pricing and contact FAQs state that the software runs on Google Cloud Platform, using services described as SOC 2 and HIPAA compliant, and the help centre adds private networking with security groups and firewalls, strict IAM-based access, TLS on all database connections and encrypted backups at rest. The GDPR page commits to encryption in transit and at rest, pseudonymisation and timely restoration of availability after an incident. What is missing is any hosting country or region: no data centre location, no residency option and no standard contractual clauses are mentioned anywhere on the site or in the documentation. The trust centre linked from the footer is a JavaScript application whose static page is empty, so nothing could be verified there. The publisher is an Indian company whose terms apply the law of Delhi, while the site announces a Delaware headquarters. There is no on-premise or private-cloud deployment: the product is SaaS only.
Things to keep in mind
Risks and trade-offs to weigh before adopting Typo.
- Engineering metrics can drift into surveillance: Typo exposes per-developer views such as contributors, daily worklogs and AI adoption segmentation, even though the vendor rules out individual performance review
- Burnout prediction and mood signals are sensitive data about people, and small team sizes can make supposedly anonymous survey answers identifiable
- The terms grant Typo a perpetual licence over Customer Data and outright ownership of anonymised, aggregated data, which it may reuse for benchmarking and marketing
- Code review relies on third-party language models from OpenAI and Google Gemini, and the analysis takes read access to the code base, retaining the snippet that carries the issue
- Over-trusting automated pull request summaries and one-click fixes can quietly erode genuine human review and the understanding that comes with it
- Steering by indicators invites optimisation of the indicator rather than the delivered value, especially once goals and alerts are wired to team metrics
- With no postal address, no named contact and exclusive jurisdiction in Delhi, practical recourse in a dispute is limited, and the absence of any disclosed hosting location leaves international transfers undocumented
Setup & Integrations
Technical difficulty
Low for a platform of this scope. Onboarding is self-serve: connect a Git provider, an issue tracker and a CI/CD system through documented OAuth or app installations, and Typo imports twelve weeks of history on its own. The site advertises setup in under ten minutes and insights within a day. The real prerequisite is organisational rather than technical: you need admin rights on the Git organisation and on the tracker. Deeper work - team and repository mapping, code health rules, merge-blocking quality gates, metric definitions and single sign-on - is optional and documented step by step.
Deployment
Integrations
Behind Typo
Social
Resources
All the official URLs gathered for verification and reference.
Alternatives
Tools that compete with or complement Typo.
Frequently asked questions
How does Typo's pricing work?
Is there a free plan or a free trial?
Does Typo have access to my source code?
Is my data used to train AI models?
How long does setup take?
Which tools does Typo integrate with?
Can Typo run on premise?
What security and compliance guarantees does Typo publish?
Can I try the product before talking to sales?
Should you pick Typo?
Typo occupies a crowded niche - engineering intelligence, where Jellyfish, LinearB, Swarmia and DX all compete - and stakes its difference on the AI layer: measuring what AI assistants actually change in delivery, and reviewing pull requests with a stack that pairs a language model with static analysis. On that ground the product is unusually well documented. Pricing is public and low for the category, a permanent free plan covers five developers, repositories and teams are unlimited on every tier, and the help centre answers the awkward questions directly: no source code storage, no model training on customer data, audit logs kept for thirty days, SaaS only.
The reservations are less about the product than about the company behind it. There is no legal notice and no postal address anywhere on the site; the only published email address is hidden behind an obfuscation script; the publisher is an Indian private limited company whose terms send every dispute to the courts of Delhi, while the site announces a Delaware headquarters. No hosting country is disclosed, no subprocessor list is published, and the trust centre returns an empty page without JavaScript. European buyers with a procurement checklist will have questions.
The functional limits are honest and mostly self-declared. Typo is not a project tracker, it does not replace Git or CI/CD, and the vendor states plainly that it is not built for individual performance review - a caveat worth repeating, because the data it exposes could easily be used that way. It suits engineering organisations of roughly thirty to five hundred developers that already have settled Git and review workflows and want one place to see delivery, quality, developer experience and AI adoption. Smaller teams will outgrow the free plan quickly; teams needing an on-premise install should look elsewhere.
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