Give your AI the one thing it's missing:
real understanding.
Your team uses Jira, Slack, GitLab and a dozen other tools. Your AI agents can access them all, but still can't answer simple questions about how your company actually works. Daila fixes that.
Trusted by teams building with AI agents. Swiss-made. Read-only by design.
See howConnecting tools is easy.
Making AI understand them is not.
The average company uses over 130 SaaS tools. Today's integrations move data between them. But moving data isn't the same as understanding it.
Your AI is lost in translation
You've connected all your tools. Your AI can pull data from everywhere. But ask it a real question, and it falls apart.
- "Who's overloaded?" It doesn't know your team structure
- "Urgent tickets?" It can't tell P0 from P3
- Julia in Jira, @julia.m in Slack? It thinks they're different people
- Your team's shorthand? Invisible to AI
- Every new tool means weeks of manual setup
Your AI gets it
Daila learns how your company works: your labels, your people, your conventions. And makes that knowledge available to every AI tool you use.
- Knows who's who across every tool. One identity, everywhere
- Understands your shorthand: "P0-hotfix-cx" = urgent, customer-facing
- Connects the dots between a ticket, a commit, and a decision
- Your team's tribal knowledge becomes searchable
- Learns and adapts as your organization evolves
Three steps to AI that actually understands
No configuration files. No mapping spreadsheets. Daila asks the right questions and learns from your answers.
Connect your tools
Link your Jira, GitLab, Slack, or any tool your team uses. Daila scans everything. Not just new events, but your entire history.
Answer a few questions
Daila spots patterns and asks you about them. "What does INFRA-* mean?" "Is j.mueller the same as Julia Mueller?" A short conversation, not a configuration marathon.
Your AI just works
That's it. Your AI agents, dashboards, and search now understand your company. Ask anything. You'll get answers that actually make sense.
Why APIs and MCPs aren't enough
Most AI integrations hit two invisible walls. Daila removes both.
Semantic search needs more than APIs can offer
When your AI agent searches Jira or GitLab through an API or MCP, it gets back raw text. It can match keywords, but it can't understand meaning.
Real semantic search needs vector embeddings: mathematical representations of what text actually means. The tools behind these interfaces were never designed to expose them.
So when you ask "find everything related to the payment refactor", you only get results matching those exact words. The 40 related tickets, commits, and conversations that use different language? Invisible.
Agentic search hits rate limits and rigid frames
An AI agent can technically browse your tools through APIs and MCPs. But in practice, it's painfully limited.
Rate limits mean your agent can only make a handful of requests per minute. Each request returns data in a rigid, predefined structure. The agent sees what the API decides to show, not what it actually needs.
To answer one meaningful question, an agent might need hundreds of API calls across multiple tools. That's slow, expensive, and often blocked entirely. Even with MCP (Model Context Protocol), the underlying limitations remain the same.
All your data, fully vectorized, in one place
Daila doesn't query your tools in real time. It syncs everything into its own database and vectorizes all of it. Every ticket, every comment, every commit message gets a vector embedding that captures its meaning.
Intelligence that grows with you
The longer Daila runs, the better it understands your organization. No maintenance required.
It learns your language
Every team has shorthand, labels, and unwritten rules. "P0-hotfix-cx" means nothing to a machine, until Daila learns it means "customer-facing emergency, 4-hour SLA."
One person, one identity
Julia Mueller in your org chart, j.mueller in Jira, @julia.m in Slack. Daila connects the dots so your AI stops treating them as three different people.
Setup through conversation
Forget mapping files and config screens. Daila detects patterns in your data and asks simple questions. Five minutes of answers replaces weeks of setup.
It keeps up with change
New team? New labels? Changed workflow? Daila notices and asks. Your AI stays current without anyone having to remember to update a config somewhere.
Frequently asked
What is Daila?
Daila is an intelligence layer that sits between your business tools (Jira, GitLab, Slack, Notion) and your AI agents. It learns how your company actually works and makes that knowledge available to every AI tool you use.
How is Daila different from Zapier or Make?
Integration tools move data from point A to point B. Daila adds understanding. When your AI agent sees a Jira label like "P0-hotfix-cx", Zapier passes it along as a string. Daila teaches your agent that it means a customer-facing production emergency with a 4-hour SLA. That layer of understanding is what makes agents actually useful.
Does Daila require technical setup?
No. Daila uses AI-guided onboarding. It scans your connected tools, detects patterns, and asks you simple questions about what it finds. A short conversation replaces weeks of manual configuration.
Is Daila safe? Does it modify my data?
Daila is read-only by design. It never writes back to your source systems. It only reads and enriches data to build understanding. Any actions are taken through your existing tools and workflows, not through Daila.
What tools does Daila connect to?
Daila connects to the tools your team already uses: Jira, GitLab, Notion, Slack, and more. It scans your entire history, not just new events, to build a complete picture of how your organization works.
Does Daila get smarter over time?
Yes. Every day Daila runs, it deepens its understanding of your organization. Entity relationships refine, convention mappings improve, and context accumulates. After months of learning, Daila holds a compounding intelligence about your company that can't be replicated by simply connecting an API.
How does Daila work with Peerdom and Handsh?
Daila is part of the Peerdom ecosystem. Peerdom handles governance and org visualization, Daila provides data intelligence, and Handsh orchestrates AI agents. Together they give AI agents a complete understanding of your organization.
Even more powerful with Peerdom
Daila works on its own. But when paired with Peerdom and Handsh, it becomes something extraordinary.
Three products that feel like one
Peerdom visualizes how your organization works. Handsh orchestrates your AI agents. Daila gives both of them the understanding they need to be truly useful.
Together, they share one brain. Your AI agent can understand who's responsible for what, find relevant knowledge across all your tools, and take action, all in one seamless experience.
- AI that knows your org structure and governance
- Search that understands what you mean, not just what you type
- Agents that see the full picture across every tool
- Everything stays in sync automatically
Stop teaching your AI the same things over and over.
Daila is in early development. Get on the list to be among the first to try it.
Request early access