Map the handoffs
See which teams own the work, who’s waiting on a handoff, and where workstreams intersect.
INTER-TEAM ENGINEERING INTELLIGENCE
See how
engineering
work moves.
See who’s waiting on whom, why work is blocked, and what’s affected downstream. One shared graph for teams that ship together.
SCROLL TO EXPLOREWORK → DEPENDENCY → RELEASE
01 / PLATFORM+ CROSS-TEAM DELIVERY
When one team
slips, who else feels it?
When work crosses teams, no one team has the full picture. safinOS is built around a living graph of people, plans, code changes, reviews, discussions, dependencies, and outcomes. As that work evolves, the graph gives engineering leads and program managers a shared place to see what changed and trace why.
Find the bottleneck
Trace a delay back to the review, decision, or shared service holding up the next team.
Follow the impact
See which workstreams and milestones depend on the same change. Longer term, simulate what happens if a handoff slips.
02 / ONTOLOGY+ INTERACTIVE WALKTHROUGH
Follow the blocker.
A Payments API change links Security, Platform, Mobile, Web, and QA. Pick any node to see what it’s waiting on and what depends on it.
Engineering graphSprint Replay PLANNED FEATURE PREVIEW
Day 8 · Review queue forms
The required security review sits in a queue. PR #481 stays open and Payments can’t hand off the API.
DEPENDENCY FOCUSED NODE AFFECTED IN REPLAY
FIG. 02 / SAMPLE RELEASE ONTOLOGYUPSTREAM CAUSE → DOWNSTREAM EFFECT
03 / SOURCES+ BUILT FOR ENGINEERING TEAMS
Every link should
have a reason.
A link in the graph should lead back to the issue, review, or decision behind it. That evidence helps teams understand how work moves across the organization. safinOS doesn’t score individual developers.
- IN DEMOGitHub
Code changes, pull requests, and reviews.
- IN DEMO · ACTIVE DEVELOPMENTJira
Planned work, linked issues, and releases.
- PLANNEDSlack
Discussions, decisions, and coordination.
04 / FAQ+ PRODUCT & APPROACH
Frequently asked
questions.
How safinOS traces delivery risk, where the evidence comes from, and what’s planned.
What sets safinOS apart from its competitors?
The interactive work graph is the starting point. Pick a blocked issue, a review, or a release. Why? traces what it’s waiting on. Impact follows the work that depends on it. That lets you inspect the actual chain across teams, from a pending review to the release it puts at risk. Try the sample graph.
- LinearB emphasizes delivery metrics and workflow improvement. safinOS starts with a specific handoff and traces the work it affects. Product page ↗
- Bito uses a graph to give engineering teams and coding agents context about the codebase. The safinOS graph models the work of delivering a change, including who owns each handoff and which teams are waiting. Product page ↗
- Zaph also connects work across tools and offers historical replay. safinOS puts directional tracing at the center of the experience so you can follow a dependency upstream and downstream from any node. Product page ↗
How does safinOS help find bottlenecks?
A review-time average can tell you work is slowing down. The graph helps you see where a queue formed, which changes are waiting, and which downstream handoffs or releases are exposed. The goal is to fix the workflow. safinOS doesn’t rank individual developers or use commit counts as productivity scores.
What is Sprint Replay?
Sprint Replay is planned. The idea is to move through a sprint on a timeline and see when work entered, pull requests opened, queues formed, and issues spilled over. Open Sprint Replay in the sample graph to see how a review queue on Day 8 delays Mobile and pushes QA later.
Do teams have to change how they work?
Teams keep tracking work and reviewing code in their existing tools. safinOS is designed to reconstruct relationships from those records so teams can avoid entering the same work twice. The current demo covers GitHub and Jira, with Jira still in active development. Slack is planned.
How can I tell why two things are linked?
The graph is designed to show the records behind a connection, such as a Jira dependency or a GitHub review. An explicit link comes from the source tool. An inferred link is a proposed connection that needs evidence. Any AI-generated explanation should let you inspect that distinction and see which records support it.
05 / CONTACT+ DEMOS & INTRODUCTIONS
LET'S TALK ENGINEERING
What’s holding up
your next release?
Tell us about a dependency your team is trying to untangle, or get in touch to explore working together.