No demos. No smoke and mirrors. We build AI agents with proper monitoring, SLAs, and maintainability baked in from day one. Real systems for real problems.
These aren't prototypes. Each one is a live product with its own customers, running real business processes end to end—with the monitoring, escalation paths, and audit trails to prove it.
Build, Run & Monitor Your AI Agents
One agent per business process. Laimonflow is the platform for standing an agent up, putting it to work, and keeping an eye on it—so you always see what it handled on its own, what it escalated, and what it's waiting on you for.
Autonomy is earned, not assumed. Agents start reactive, graduate to nudging you when they spot something, and only then run unattended on the categories they've proven themselves on.
What It Does
Technical Stack
Production Features
Technical Stack
Production Features
The AI Product Owner for Coding-Agent Teams
Your coding agents can already write the code. Laimonade owns what comes before and after: grooming the backlog, running the sprint, handing agents their work orders over MCP, and closing stories on Git evidence rather than on someone's say-so.
Classic trackers only record what humans type into them. Laimonade is a Scrum tool with the Product Owner built in—a story closes when the commits that implement it have actually landed on your repo.
What It Does
AI Support Chat That Captures What Users Ask For
One script tag on your site and you have a support agent. It answers from your own knowledge base, files bug reports and feature requests as structured tickets, and hands the conversation to a human the moment it can't help.
Support usually loses the signal in the transcript. Laimonchat keeps it: every unanswered question and every request becomes a ticket your product team can actually work from.
What It Does
Technical Stack
Production Features
Same approach as the three above: one clearly scoped process, proper monitoring, and a human in the loop where it counts. We'll announce it here once it's running in production.
AI agents are not toys. They're production systems that need monitoring, SLAs, incident response, and continuous improvement. Here's what proper ops looks like.
Every action is logged. Every decision is traceable. Your team sees exactly what the agent did, when, and why—no guesswork.
No surprises. Your team knows uptime commitments, response times, quality thresholds, and exactly how to respond when something breaks.
Not a black box. Your engineers understand the architecture, can debug failures, and can improve the system. Transparent by design.
Agents get smarter over time. Failures become training data. Your team controls what the system learns and when it gets better.
We don't try to cover every domain ourselves. Where a problem needs specialist depth, we bring in partners who build to the same standard we do.
SEO & AI Search Growth, On Autopilot
Lymwave automates the whole content workflow—spotting opportunities in Search Console data, producing optimised articles, publishing them, and monitoring what happens next. It plugs into the stack you already run rather than replacing it.
Where They Fit
AI Security for Code, Email and the AI You Ship
One security agent working three fronts: the flaws attackers can actually reach in your code, the phishing landing in your team's inbox, and the AI features you ship to customers. It reports in plain language and asks before it acts.
Where They Fit
Building something that needs one of these alongside it? Tell us what you're working on and we'll bring the right people to the table.
If you have a real problem that needs intelligent automation—something that requires proper ops, monitoring, and transparency—let's talk. We build systems that teams trust.
contact@digiscope.eu