01Project knowledge
What teams need
Preserve project knowledge
The gap
Documents become separate repositories
Shrevo
Governed project memory
DocumentsProject MemoryTasks
Ask ProjectCitationsPermission checks
Shrevo · Engineering intelligence
AI Project Management Software
for Engineering Teams
The AI-Native Engineering Operating System.
Work, knowledge, and cited, permissioned AI in one governed workspace — so teams stop retyping documents into tickets and stop running delivery from scattered tools.
DEMO PREVIEW
Context-awareRequirements to release
Enterprise-readyIdentity, permissions, audit
One connected viewWork · code · docs · decisions
Project Management
Project Management Built for Engineering Teams
Shrevo connects projects, tasks, requirements, documents, decisions, and GitHub signals in one governed workspace — so engineering teams can plan, execute, and deliver with cited context, not scattered tools.
Project planning
Organize projects, tasks, requirements, and milestones with clear ownership and priorities.
Engineering execution
Run work on Kanban, sprints, and timelines — connected to code, docs, and decisions.
Delivery visibility
Track progress, dependencies, and delivery risk with advisor signals computed from the board.
AI-powered context
Ask about your work and get cited, permission-aware answers grounded in retrieved project content.
Only capabilities that exist in the current product are described here. AI features are optional and permission-aware.
Different tools solve different parts of the problem.Shrevo is built for the gap between them.
Jira knows the tasks. Notion knows the documents. Slack knows the conversations. Generic AI only knows your project context when that context is available to it.
- Requirements
- Documents
- Decisions
- Tasks
- Development
- Delivery
- Risk
Work
Projects · Tasks · Sprints · Delivery
Knowledge
Documents · Project memory · Context
Intelligence
Ask Project · Risk · Forecast
Execution
People review · decide · act
Shrevo is one governed system for work, knowledge, and cited AI — not a PM tool with a chatbot attached.
Today
- Someone reads a 20-page requirements document
- Someone interprets requirements
- Someone creates tickets
- A developer asks for clarification
- Context is copied into Slack
- Someone asks ChatGPT separately
- A PM checks the board
- Risk is discovered late
With Shrevo
- Project knowledge is in the same system as the work
- AI uses that project context (permission-checked)
- Work is connected to the knowledge that created it
- People review and execute
- Risk and delivery signals stay visible in the same place
Where the gap appears
02Project questions
What teams need
Ask questions about the project
The gap
Generic AI needs context supplied to it
Shrevo
Cited, permission-aware Ask Project
Generic AIProject contextAsk Project
03Delivery risk
What teams need
Understand delivery risk
The gap
Dashboards show status; interpretation is manual
Shrevo
Risk + Delivery Forecast
Why is this project at risk of missing the milestone?
Example · Contributing factors
- A blocked integration is slipping the critical path
- A requirement changed after work started
- Dependent work is still unassigned
Sources
Task recordRequirements versionProject record
Recommended next look — a person decides what to do. Not autopilot.
04Work
What teams need
Manage work
The gap
Tasks and status exist, but context can live elsewhere
Shrevo
Work connected to project context
TasksStatusContext
05Engineering work
What teams need
Connect engineering work
The gap
Work and engineering knowledge can be separated
Shrevo
Work + knowledge + engineering context
WorkEngineering knowledge
06AI access
What teams need
Control AI access
The gap
AI retrieval can become another security boundary
Shrevo
Permission checks before AI retrieval
PromptRetrieval
07Adapt the product
What teams need
Adapt the product
The gap
Standard platforms constrain how deeply the workflow can be tailored
Shrevo
Configuration + direct product engagement / dedicated build
Standard platformConfigurationDirect engagement
See the difference
The same moment, two distances.
Why is this project at risk?
Traditional workflow
- Open the board
- inspect the sprint
- check blockers
- read comments
- search documents
- ask people
- form a conclusion
With Shrevo
“Why is this project at risk of missing the milestone?”
Example · Contributing factors
- A blocked integration is slipping the critical path
- A requirement changed after work started
- Dependent work is still unassigned
Sources
- Task record
- Requirements version
- Project record
Recommended next look — a person decides what to do. Not autopilot.
How Shrevo fits with the tools you already know
Established products can be the better choice when you want a mature standardized platform, a large marketplace, established integrations, and minimal implementation. Shrevo is built for the gap between work, knowledge, and intelligence.
Built for
The connection between work, knowledge, and intelligence.
Work
- Work management
- Core
Knowledge
- Project knowledge
- Governed project memory
- Work + knowledge connection
- Core product model
- Project decision context
- Connected to project memory
AI
- AI over project context
- Core
- Evidence / citations
- Core principle
- Permission-aware AI retrieval
- Checks before retrieval
- AI-assisted execution
- Human-reviewed assistance
Delivery
- Delivery intelligence
- Risk + Delivery Forecast
- Engineering delivery
- Core positioning
Operating
- Customization
- Product + dedicated build
- Roadmap influence
- Direct product engagement
- Deployment flexibility
- Cloud + dedicated deployment path
- Operating model
- Work + Knowledge + Intelligence
If you primarily need a mature standardized platform, a large marketplace, established integrations, and minimal implementation, an incumbent may be the better choice. Cells describe category positioning, not an exhaustive feature inventory.
The right tool depends on what you're trying to solve.
Jira + Confluence
Mature enterprise work ecosystem.
ClickUp
Highly configurable all-in-one work.
Linear
Focused product and engineering workflows.
Notion
Flexible knowledge and workspace.
Shrevo
Connected work, knowledge, and intelligence.
If the problem isn't managing tasks — but keeping the context behind those tasks connected — that's where Shrevo fits.
DESIGN PARTNER PROGRAM
We're building Shrevo with engineering teams.
Shrevo is pre-launch and onboarding design partners. Early teams get a direct line to the product. Any discounted or locked pricing exists only as written in the signed order.
30-day trial to start
Self-serve evaluation is a 30-day, 5-seat trial — then a paid plan or a design-partner order.
Direct line to the team
Shape features before they ship — delivery, knowledge, and cited AI.
Pricing lock in writing
Founding rates are locked only for the period and amounts in the signed order.
We reply to every application.
SECURITY FIRST
Security you can document
RBAC, SSO, audit, optional AI, and self-hosted ownership — described honestly for security reviews, not as a certification badge.
Infrastructure encryptionAt rest via your host / volume policy
TLS in transitHTTPS at the edge
SOC 2 / ISO 27001Planned — not certified yet
Enterprise SSO / SAMLDeployment-configured SAML (environment IdP)
Pricing
Simple pricing for teams that ship
Project execution, organizational knowledge, and cited AI — without stacking add-ons.
Starter
$12
per user / month
For small teams getting organized.
Professional
$22
per user / month
For growing software teams.
Most PopularProfessional AI
$30
per user / month
Project execution, organizational knowledge, and cited AI.
Scale
$45
per user / month
For multi-team engineering operations.
Enterprise
Custom
Tailored to deployment, security, and support
Quoted deployment, security, and support.
Prices shown in USD. Annual and regional commercial terms may vary.
30-day, 5-seat evaluation. No credit card. Paid use is invoiced.
Stop translating work between tools.
Keep the context connected.
If your problem is the gap between work, knowledge, and intelligence, Shrevo is built for that — not as another board, and not as a chatbot on top of one.