Predictive maintenance
Algorithms analyze utilization, cycles and trend data to predict failures weeks before they happen. The shop is alerted before you need to know.
Air Grid Innovation
Business aviation deserves
the same intelligence as your fintech.
Predictive maintenance, AI applied to operations, real-time data and automated decisions. We bring to the cockpit the same standards already obvious in every other critical industry.
Why it matters
The industry is two decades behind. We have no patience to wait.
Business aviation is one of the most technologically conservative industries out there. 90s-era systems, Excel spreadsheets duct-taped together, decisions made on the gut feel of the most senior manager in the room. Does it work? Sure. Is it the best it could be? Not even close.
While your fintech uses machine learning to detect fraud in milliseconds, your $10M aircraft is managed with email and PDF. Something's out of proportion.
Air Grid was born to change that. We built from scratch with the stack that makes sense in 2026 — not 1995. Cloud-native, real-time data, ML where it makes sense, automation where it eliminates repetitive work. The result is an operation that learns from every flight.
Four innovation fronts
What 'innovation' means, without the buzzword.
Each item below is technology running in production right now — not roadmap promise.
Decisions by data, not opinion
Every operational recommendation comes with numerical justification. No 'I think', no 'we've always done it this way'. If we can't measure it, we don't decide it.
Smart automation
Repetitive tasks (slot calculation, monthly close, reconciliation) automated. The human team focuses on what humans do better: relationships and judgment.
Fast release cycle
New features every 2 weeks, not every 2 years. Asked today, usually shipped in two sprints. Public roadmap for client visibility.
What each side gains
Innovation isn't decoration. It's concrete operational advantage.
For the operator
- Optimized dispatch with fuel-load suggestion per leg
- Automated FRMS — duty alert before the limit
- Predictive maintenance integrated with the calendar
- Auto-generated ops briefing
- Aircraft performance trend analysis
For the owner
- Automatic monthly insights: usage patterns, cost, efficiency
- 12-month maintenance and cost projections
- Anonymous comparative benchmark vs. similar fleet
- 'What if' simulation: impact of changing aircraft type, base, crew
- Smart alerts on what matters — no spam
Tech stack
How we built it. No mystery.
Modern off-the-shelf tech applied with judgment to aviation. Here's what runs underneath.
Machine Learning
Failure prediction models trained on public manufacturer data + managed fleet
Cloud-native
Serverless multi-AZ architecture, elastic scale with no fixed server cost
API-first
Every feature exposed as API — your ERP/accounting integration in hours
Real-time data
WebSocket event streaming, no polling, sub-second latency
Open source
Postgres, Astro, Bun, FastAPI — no proprietary lock-in
Public roadmap
Clients vote and track every feature in development, no black box
Let's talk
See aviation five years ahead.
In 30 minutes we demo the platform running in production, with real cases of predictive maintenance and automated decisions. You leave understanding what changes.