Aerospace runs some of the most complex businesses on the planet, and most of them still operate by hand. We use AI to change that, process by process, with custom workflows that compress cycle times, eliminate manual work, and scale operations beyond what any one engineer can hold in their head.
Built and run by aerospace professionals.
Aerospace's most valuable workflows still happen by hand. Modern AI can compress most of these cycles by 5–10×, but the industry doesn't yet have trusted partners who can capture that value.
The same four categories of work cost aerospace companies the most time, money, and missed opportunities, and almost all of it is still done by hand:
The big consultancies don't speak the operational language. The AI-only shops don't understand the aerospace business. The internal IT teams are stretched thin on existing systems work and don't have the bandwidth or the specialty for AI workflow automation.
The result is a massive efficiency gap that the industry hasn't yet closed.
AeroEquities AI Labs is built and run by people from aerospace.
We didn't come to aerospace as outside consultants looking for a vertical to specialize in. We came to AI as aerospace operators who saw what was finally possible and wanted to share it with the industry.
Our team brings senior operating experience across the full commercial aerospace value chain. At large OEMs we've owned commercial campaigns, customer support, and program operations. In aircraft leasing and asset management we've lived the records, redelivery, and portfolio workflows from the inside. At new aircraft technology and advanced air mobility companies we've worked on certification, supplier ramp, and commercial readiness for new aircraft programs.
Lease redeliveries, OEM commercial campaigns, MRO findings, CAMO audit prep: we describe them from memory, not from a deck.
Aerospace procurement is uniquely complex with long cycles, heavy data demands, and conservative buyer behavior. We've been on the other side of those processes.
Aerospace doesn't tolerate move-fast-and-break-things. We build with the discipline of people who've sat through certifications, OEM audits, and lease redelivery disputes.
Every offering is scoped, priced, and delivered as a productized engagement. No SOW gymnastics. No multi-quarter consulting cycles.
Compress your commercial cycle. Win more deals. Realize better margin.
AI workflows that automate and accelerate the way you sell, propose, quote, and bill, from market analysis through invoice reconciliation.
Replace fragile, manual operations with durable, auditable AI systems.
Comprehensive Workspaces tailored to each operator type, plus universal automation for every other inefficient internal process.
AI-native commercial campaign engine. For each prospect: customer-specific market analysis, competitive positioning, mission-specific economics, and a customized first-draft pitch deck. Strong fit for AAM startups without big commercial teams.
Comprehensive operations workbench: lease portfolio tracker, MR engine, AD/SB compliance, redelivery manager, intelligent document repository. Sits alongside Quantum / Leasepoint.
Findings disposition, TAT control tower, AD/SB compliance, Commercial Proposal & Pricing Engine for PBH/FHA/LTA bids, RTS docs, parts sourcing, customer status reporting.
Airworthiness compliance, reliability insights, MEL/CDL decision support, engineering order drafter, modification tracker, audit prep workbench. Sits alongside AMOS / TRAX / CAMP.
AI-powered commercial transaction layer. Generates proposals from your house templates, manages versioning and approvals, automates invoice generation, milestone tracking, and dispute response. ERP/CRM integration.
Catches every manual, people-driven internal process: Excel models, email approval chains, SharePoint flows, monthly reports, manual reconciliations, paper handoffs. Replaces fragile single-owner processes with durable, auditable systems.
Internal process automations: Aircraft Records Engine · Findings Engine · Airworthiness Compliance Engine · BOM Reconciliation & ECN · Supplier Quality Intelligence.
Most customers start with a Discovery Sprint, see a working demo of one real workflow, and decide from there.
1–2 weeks
Working session. Problem decomposition. Working demo of one real workflow on your data. Most customers start here.
4–8 weeks
One offering. Proven on real data in a sandboxed environment. Your security and compliance constraints from day one.
8–16 weeks
Full deployment. Integration with your stack. Training, runbooks, handoff. You own everything we build.
ongoing
Continuous optimization. New use cases. Monitoring, model upkeep, team support.
Every engagement priced 80–90% below traditional aerospace consulting. Pricing shared on request.
Custom deployment options. NDA before discovery. You own everything we build.
Default deployment uses a zero-data-retention managed environment. Optional: deploy directly in your cloud or on-prem so your data never leaves your network.
We sign before we listen. Standard mutual NDA covering data, processes, and intellectual property.
Code, prompts, configurations, documentation. We do not reuse customer-specific work product across engagements.
If a workflow isn't a good fit for AI, we'll tell you in the Discovery Sprint and refund the unspent portion. We'd rather walk away than damage the relationship by shipping something that doesn't earn its place.
We'll listen to one painful workflow you'd love to automate. By the end of the call, we'll tell you whether AI can credibly help, and if yes, how. If we agree there's a fit, we'll propose a Discovery Sprint and you'll see a working demo within the first two weeks.