Asset intelligence for MSPs & IT teams
Know which devices to replace, and prove why.
Age-based refresh lists replace laptops that were fine and keep the ones that were dying. Lilo scores what every device is actually doing on Windows, macOS and Linux, and names the culprit: hardware, software, network or workload. The output is a refresh budget and a QBR-ready client report. It starts with every device, and expands across the environments you manage.
Or just get notified when it’s ready → · Windows, macOS & Linux · free tier, published pricing
The build log is public: see what shipped.
The difference
Diagnosis before recommendation.
Most tools tell you a device is slow. Lilo tells you why, across four categories, so you don’t replace a laptop that one bad app was killing.
Hardware
Storage wear, uncorrected errors, battery capacity and cycles, power-on hours, thermal throttling. Is a physical component actually degrading?
Software
Per-application crash counts, patch age, OS support status. Is one application, not the device, the problem?
Network
Wi-Fi signal quality, connection stability, clock skew. Is a network issue being misread as a device issue?
Usage
Concurrent workload against the machine's specification. Is the device fine and the workload unreasonable?
See the diagnosis engine in action →
Hardware · software · network · usageThe signals live below the surface.
Storage wear, uncorrected errors, battery cycles, thermal throttling: the readings that predict real cost never reach an RMM dashboard. Lilo's agent reads them at the source, with the evidence attached.
How the agent works →Products
One platform. Built to expand.
The asset intelligence platform. An agent measures how every device is actually performing, a rules engine scores it 0–100 with the evidence attached, and the lifecycle, budget, compliance and reporting modules turn that into decisions your client signs off.
Explore Lilo → On the roadmap Beyond devicesLilo starts with device health, but it’s built to grow with you. Client reporting, Microsoft 365 and security posture, cloud and more environments are on the way — all as modules on the same platform. You won’t outgrow it.
See the build log →
From the Karoo
From the support desk to the head of the table.
Lionel grew up in Merweville, a one-street Karoo town, and worked his way up through every seat in the room: the support desk, the server room, and the chair where you defend the budget. Lilo is the scoring engine those years kept asking for, with every deduction named and every verdict one you can defend across the table. Today AngiLabs builds it side by side with its founding testers and design partners.
Why AngiLabs
Built for people who answer to clients.
Every point traceable
The score is deterministic: same inputs, same score. The product shows its work, rule by rule, next to every score. A device with missing signals says Not assessed, never a made-up zero.
Published pricing
Every price is on the website, free tier included: no sales call required to learn what Lilo costs. The ladder is on the pricing page.
No AI theater
No failure predictions with invented confidence percentages. The AI layer narrates, triages and investigates: recommendations with evidence, never autonomous actions on your fleet.
Client business reviewThe deliverable your client keeps.
Scores become a document leadership actually reads: fleet scorecard, the diagnosis highlights, and a refresh budget with the repair-vs-replace math attached, white-labeled to your brand, scheduled or on demand.
Flip through an example →Walk into your next QBR with the evidence.
Lilo is in early access. Request a walkthrough on your own fleet’s numbers. The 5-device free tier is locked in for launch.
Reply the same day · ~30-minute walkthrough on your numbers · nothing to install
Or just get one email when it's ready:
One email when Lilo opens up for you. No spam, unsubscribe anytime.
Or write to hello@angilabs.com