Agents that work while you sleep.
Describe the job in plain language. Data AI agents monitor your data, spot what matters, take action, and send you the summary. Search, Prompt, Operate, Automate.
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Your best people are stuck babysitting dashboards.
Most teams know exactly what they should be watching. Churn signals. Stock levels. Spend spikes. Lead quality. But checking it all, every day, by hand, never scales. Things slip through the cracks, and the cracks get expensive.
- 01Critical changes are noticed days after they happen
- 02Repetitive checks eat hours of skilled time every week
- 03Scripts and alerts break the moment the data changes shape
- 04Nobody owns the follow-up, so insight never becomes action
Everything AI Agents teams need, in one intelligence layer
Goal-driven agents
Tell an agent what outcome you care about. It figures out what to watch and when to speak up.
Always-on watch
Agents track your sources around the clock and flag the moment a pattern breaks.
Actions, not just alerts
Draft the email, update the record, open the ticket, post the summary. Agents finish the job.
Human in the loop
Set approval steps for anything sensitive. You stay in control of every decision that matters.
Multi-step workflows
Chain agents together so one finding triggers the next analysis, then the next action.
Clear reasoning
Every run comes with a readable explanation of what the agent saw and why it acted.
From first question to first win in minutes
Connect your sources
Bring in spreadsheets, databases, apps, and files. Everything lands in one workspace.
Describe the job
Write what you want watched and what should happen next, in plain language.
Review the first run
See exactly what the agent found and what it would do. Tune it in a sentence.
Let it operate
Switch it on. Get summaries, approvals, and results delivered where you work.
Built for the decisions that move the needle
Revenue watchdog
An agent tracks daily bookings against plan and explains every dip before your morning stand-up.
Inbox triage
Route inbound requests by intent and urgency, draft replies, and escalate only what needs a human.
Competitive radar
Monitor pricing pages, launches, and reviews, then brief your team on what changed and why it matters.
Ops autopilot
Catch stalled orders, overdue invoices, and missed handoffs, then nudge the right owner automatically.
What changes when your data starts talking back
Hand the daily checks to agents and give your team their focus back.
Nights, weekends, and holidays. Your agents never clock out.
Insights become actions automatically, so nothing important stalls.
Autonomy with guardrails.
Agents only touch what you allow, only act how you approve, and log every step. Built to support your compliance programs from day one.
- Granular permissions for every agent
- Approval gates for sensitive actions
- Full activity history for every run
- Your data stays yours, always
Questions, answered
Do I need to code to build an agent?
No. You describe the goal in plain language and refine it the same way. If you can write a brief, you can build an agent.
Can agents take real actions?
Yes, within the permissions you set. You decide which actions run automatically and which wait for your approval.
What happens if an agent is unsure?
It tells you. Agents surface uncertainty and ask for a decision instead of guessing on anything important.
How many agents can I run?
As many as your work needs. Start with one, then add more as you find new jobs worth automating.
Can I see why an agent acted?
Always. Every run includes a clear explanation of what it saw, what it decided, and what it did.
Hire your first agent today.
Give it a job, watch it work, and wonder how you ever operated without it.
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