PRODUCT DEMO · ILLUSTRATIVE VIEW
See what Qeino sees.
Explore how Qeino connects programme signals, surfaces forming risk and keeps the evidence beside each finding.
Illustrative interface using synthetic programme data. Planned views are marked.
CURRENT PRODUCT VIEW · ILLUSTRATIVE DATA
Qeino Intelligence Dashboard
Change the view to inspect ticket evidence, programme analysis and engineering work context.
Qeino Intelligence Dashboard
Illustrative data · synthetic programme
- FW-102In Analysis
STM32 DMA Controller Driver Implementation
- FW-204In Progress
FreeRTOS Task Scheduler Optimization
- FW-071Backlog
Low-Power Sleep Mode Calibration
Risk Detection · illustrative
- Scope CreepHigh
- Silent BlockerMed
- Resource OverloadLow
Recommendation · method unvalidated
“Project Beta is 15% ahead of schedule. Consider reallocating 2 engineers to Core API to resolve the silent blocker detected in Jira ticket #442.”
Programme evidence only. No individual score or rank.
Project Delay Risk
24%
Moderate Risk · +4% from last week
The project has a 24% probability of missing the Q2 milestone primarily due to upstream dependencies in the HAL layer.
Capability Coverage
92%
Strong coverage
The programme currently has 92% of its named technical requirements covered by relevant team experience.
Technical Debt Impact
Low
Stabilized
Recent refactors in the DMA controller drivers have reduced the technical debt impact on velocity by 12%.
Milestone Confidence Intervals · method unvalidated
- Alpha ReleaseMay 1592%
- Beta IntegrationJune 1078%
- Production LaunchJuly 0164%
Programme evidence only. No individual score or rank.
Sarah Chen
Embedded Lead
- DMA Driver Refactor
- Buffer Management Fix
Marcus Thorne
Firmware Engineer
- RTOS Latency Optimization
- Power Management Implementation
Elena Rodriguez
Firmware Engineer
- Bootloader Porting
- I2C Debugging
Work context only. Qeino does not score, rank or compare individual engineers.
COMING NEXT · PLANNED PRODUCT VIEW
What’s coming next
Programme views are planned. Explore the intended overview and detail states using illustrative data.
Programme views · planned
Illustrative planned state
Summary · 4 Programs · 157 Tickets · 6 Engineers
Project Phoenix
83% delay riskApr 15, 2026 → Jul 15, 2026
Firmware v3.0 Release
On TrackMar 1, 2026 → Jun 30, 2026
Security Compliance
At RiskMay 1, 2026 → Aug 1, 2026
Hardware Bring-up Rev C
On TrackFeb 1, 2026 → Sep 15, 2026
Roadmap View — display only. Behaviour not defined; not interactive in this preview.
Project Phoenix
AI Program Summary · planned
“Project Phoenix is tracking behind schedule with 18 open tickets remaining. The CAN FD bus-off recovery and DDR PHY training issues are creating a dependency cluster that blocks 7 downstream tasks. Recommend prioritizing the silicon errata investigation before hardware rev C arrives.”
Risk Factors
- Increased Slack escalation traffic (+40% this week)
- Unresolved dependency cluster (7 blocked tickets)
- Repeated ticket reopening (EMB-352, EMB-367)
- Overloaded subsystem owner (Maya Okonkwo: 12 active tickets)
- Reduced commit velocity (−30% vs last sprint)
Status Breakdown
- Done22
- In Progress11
- Open8
- In Review4
- Blocked2
- Total47
Timeline
Apr 15, 2026 → Today → Jul 15, 2026 · 62% completed · Behind schedule
Work Ownership · workload only, not performance
- Maya Okonkwo12 tickets
- Jonas Berg9 tickets
- Priya Natarajan8 tickets
- 01PRODUCT DIRECTION
Program Health at a Glance
Completion, delay-risk and timeline signals for each programme in one view.
- 02PRODUCT DIRECTION
AI Program Summaries
Planned summaries connect ticket evidence, blockers and progress. Every summary must open its sources.
- 03PRODUCT DIRECTION
Automated Risk Detection
Planned detection for escalation patterns, dependency clusters, ticket reopening and owner overload.
- 04PRODUCT DIRECTION
Timeline & Status Tracking
Planned timelines and status breakdowns across programmes.
- 05PRODUCT DIRECTION
Ownership Visibility
See how work is distributed and where one owner carries too many active items. No contributor ranking.
Authorised sources
Connect the tools already in the programme.
Qeino reads agreed systems and fields. The source tools remain the systems of record.
CUSTOMER PERIMETER
Current
- Jiraprojects, sprints and tickets
- Azure DevOpsboards, repositories and pipelines
- GitHubcommits, pull requests and repositories
- Slackagreed channels and messages
Planned or scoped
- GitLabtechnical review
- Bitbuckettechnical review
- Self-hosted Gittechnical review
- Email / IMAPtechnical review
- Other authorised sourcestechnical review
Planned or scoped does not mean available. Confirm each source during technical review. Connector setup and field scope are customer-controlled.
QUERYABLE EVIDENCE · ILLUSTRATIVE
Ask Qeino.
Select a question to see the answer and the source behind it.
Ask Qeino
Queryable evidence · synthetic data
Question
Why is the FPGA in the lab currently unresponsive?
Answer
IT sent a maintenance email last Tuesday noting that the SD card was nearing its end-of-life. It likely needs a replacement.
Source
IT Support Email · 24 Mar
DEPLOYMENT BOUNDARY
Run Qeino where the programme allows.
Qeino can be scoped for customer-controlled, on-premises or isolated environments. Exact deployment, inference and update paths are confirmed in technical review.
Customer-controlled online environment
- Authorised sources
- Customer identity
- Agreed source scope
Customer-controlled isolated environment
- Authorised sources
- Customer identity
- Agreed source scope
One evidence model · customer identity · agreed source scope
Illustrative architecture. Availability depends on the confirmed deployment path.
From sources to decision
Connect programme evidence without moving the systems of record.
Qeino reads authorised fields, relates the events to the live programme and surfaces evidence for review.
- 01Authorised sources
- 02Related events
- 03Programme evidence
- 04Owner and next decision
- Programme progress summaries
- Agreed delivery estimates
- Earlier risk signals
- Relevant past work
Programme questions
Built for the decisions that slow a programme.
Programme tracking
Buyer question — Is this work on track?
See current progress, estimate changes and the source events behind them.
Evidence cueWork item · milestone · last change
Relevant expertise
Buyer question — Who has worked on this problem before?
Surface recent related work without scoring or ranking people.
Evidence cueRelated repository · ticket · owner availability
Risk detection
Buyer question — What is forming before the review?
Connect scope change, silent blockers and overload patterns to the critical path.
Evidence cueFinding · affected date · sources
Knowledge reuse
Buyer question — Has this problem been solved before?
Find related past work and the context needed to judge whether it applies.
Evidence cuePrior item · outcome · source link
Customer control
One boundary. One evidence model.
Air-gapped environments
Qeino is designed to support isolated environments. Inference, update media and custody are confirmed in technical review.
Local deployment
Qeino can be scoped for customer infrastructure or a private environment. Identity, storage and access remain customer-controlled.
Regulatory review
Deployment is reviewed against customer and sector requirements. Qeino does not claim compliance without supporting analysis.
CUSTOMER PERIMETER
- Authorised sources
- Customer identity
- Qeino services
- Customer-controlled evidence
One programme · defined evidence
See what your review is missing.
Run Qeino on one programme, inside your agreed boundary, and end with a written decision.