Development tasks on the Worker
Change code on the development machine, review Git diffs, run lint, type checks, tests and builds – with a live console.
Learn moreIndustry
Software & digital products.
Run roadmap, support and sales on one shared knowledge base — with agents that answer tickets, docs and code.
The daily friction
Support answers the same thing every day
Same questions, every day. Because the knowledge lives in docs nobody can find.
Roadmap context disappears
Why was feature X built this way? Nobody remembers. The decision-maker left the company.
Onboarding takes months, not weeks
New developers take forever to get productive. Because context isn't structured anywhere.
AI tools without company context
Copilot and ChatGPT don't know your product. Every answer without internal context is half right.
AIPE for software teams
Docs, tickets, code — one knowledge graph
AIPE connects Confluence, Jira, GitHub and more into one searchable knowledge network. Answers with real source links.
Support agents based on your product docs
Auto-drafted ticket replies, summaries, escalation routing — based on your own docs.
Onboarding in days, not months
New hires ask AIPE, not the senior. Context is instantly available, structured, cited.
One AI workspace for product, engineering and support.
Software companies and digital agencies rarely have a data problem, but often a context problem. Product documentation, tickets, release notes, architecture decisions and customer feedback are spread across many tools. Anyone joining the team or answering a customer question spends a lot of time piecing together the right status.
AIPE brings this context together and works with it directly. Documentation goes into files, the wiki and the knowledge graph; via API and MCP you connect your own sources and tools. The AIPE Worker works on development machines with terminal, Git, tests and builds while you follow progress on the go. Agents answer recurring support questions based on your docs.
Use cases
Use cases for software and digital teams
Support agent with product knowledge
An agent with your product documentation drafts answers to common customer questions for the support team to review.
Learn moreYour own sources via API and MCP
Import documents and knowledge via API, connect AIPE via MCP and add your own MCP servers as tools.
Learn morePrototypes in Canvas
Build apps and websites from a prompt, test them in the live preview and publish with one click.
Learn moreResearch in the browser
With the browser extension, ask questions about any web page, summarize pages and carry out confirmed actions.
Learn moreOnboarding new developers
Architecture decisions and conventions in the wiki, searchable in chat – new team members find answers themselves.
Learn moreWorkflow
A bug fix on the go – before and after
- Step 1
Bug reported
TodayA ticket comes in; the person responsible is away from their computer.
With AIPEIn chat on the phone, select the development machine with @ and describe the task.
- Step 2
Analysis
TodayContext from ticket, docs and code has to be gathered manually.
With AIPEThe Worker starts with a visible plan and reads the code and relevant docs.
- Step 3
Implement and verify
TodayChange locally, run tests, wait for the result.
With AIPEThe Worker changes code and runs tests and the build; the console streams live.
- Step 4
Sign off
TodayFollow-up questions via chat, changes hard to trace.
With AIPEReview the diff; text changes can be rolled back selectively via checkpoints.
Data protection & control
Access to code and customer data under control
The Worker belongs to exactly one user in an organization and authenticates with its own device key. You choose between “Ask first” and “Free hand” and decide which model providers receive request data.
- Remote tasks only after local enablement; can be switched off at any time.
- Terminal input such as passwords is only possible on the executing computer.
- Choose models freely and store your own provider keys (BYOK).
- Roles and sharing per agent, skill, wiki page and chat.
Relevant connectors
ClickUp docs flow into knowledge and current tasks can be queried in real time; HubSpot provides tickets and customer data. Connect further tools through your own MCP servers.
See all connectorsWhat that delivers
–70%
Onboarding time for new developers and support reps
–60%
Ticket handling time through AI-drafted replies
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Knowledge base for all teams: support, product, engineering
How well does your team find product knowledge?
Three questions about knowledge sources, bottleneck and team. Then you see where AIPE helps support, product and engineering first.
Software team checkQuestion 1 of 3
Anonymous, no emailabout 60 seconds
Your best knowledge. For everyone on the team.
30-minute demo. We'll show you how AIPE works inside your tech stack.