01Plant floor · Decision layer
Aesthon Featherline
The decision layer for the plant floor. It reads the MES or MOM you already run and takes over the OEE reviews, root-cause hunts and corrective actions engineers do by hand.
Industrial AI · Deep tech
Building agentic systemsfor the industry of the future.
Aesthon Labs is an industrial AI and deep tech company. We build agentic AI for manufacturing, oil and gas, and power and utilities: agents grounded in the systems you already run, guarded, evaluated and auditable, all on one reusable core.
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Programs and memberships we're part of.
01 · Proof
Two products, one core underneath.
Featherline and Cavity each began as one manufacturer's problem. Both are built on the agent core we bring to every engagement, so a new deployment starts from working technology, not a blank page.
02Engineering · Packaging design
Aesthon Cavity
Automated protective-packaging design. A part and a carton go in, a ready-to-use CAD insert comes out. The same result every time, entirely inside your network.
02 · How we work
Four steps from a problem on the floor to an agent in production.
We don't start from a blank page, and we don't hand you a platform and wish you luck. Every engagement runs the same four steps on the same proven core.
- Step 0101 / 04
Understand
We walk the floor before we write anything.
We sit with the people doing the work: the shift, the exports, the spreadsheet, the meeting nobody enjoys. We come back with the two or three problems worth giving to an agent, and we tell you which ones aren't.
- No code
- Your team, your floor
- Step 0202 / 04
Architect
We design the infrastructure, not just the prompt.
Where the data comes from, which systems the agent may touch, what it may do unsupervised, what needs a human, how it gets evaluated, and where it runs. You get an architecture your IT and audit teams can read.
- Data contracts
- Guardrails
- Deployment topology
- Step 0303 / 04
Build
We configure our core, not reinvent it.
Most of the agent exists before we arrive: our connectors, tool library, guardrail engine and evaluation harness, the same in every deployment. What we add is the thin layer that's yours: your SOPs, your KPIs, your approval chain. It's tested against your real incidents before it goes live.
- Reusable core
- Thin configuration
- Your evals
- Step 0404 / 04
Run
We stay on after go-live.
Agents drift when the plant changes. We monitor what we ship, keep the evaluation suite green, adjust when your process moves, and widen autonomy only when the numbers say it's earned.
- Monitoring
- Drift
- Earned autonomy
We build agents for
- OEE recovery
- Root-cause hunts
- Predictive maintenance
- Alarm triage
- Asset health
- Shift handovers
- Quality intelligence
- Changeover playbooks
- Inbound parts risk
- OTIF recovery
- Warranty root-cause
- OEM scorecards
- RFQ responses
Solutions
Where agents earn their keep.
Fourteen agent workflows we've already designed and built, grouped by the function that feels the pain. Yours may not be on this list. That's what the first conversation is for.
See all solutions
01
Operations
For the people on the floor when something goes wrong and the clock starts.
- Operational EfficiencyOEE recovery in-shift. Don't wait for Monday to find the bottleneck.
- Predictive MaintenanceAsset signals correlated across historian and MES. 'Worth a maintenance ticket' moments before the line stops.
- Quality IntelligenceDefect causation pinned to station, shift, and parameter, with a corrective-action draft attached.
02
Engineering
For the people who turn floor data into the decisions everyone else relies on.
03
Supply Chain
For the people on the hook when the OEM's line is starved or your dock is jammed.
- Inbound Parts Risk WatchSupplier ETAs, raw-material inventory, and production schedule in one agent view. Catches the shortage before it stops your line.
- Outbound OTIF IntelligenceOn-time-in-full risk to your OEM, surfaced before the miss, not on the Monday OEM scorecard.
- Inventory Optimization AgentCash trapped in safety stock, surfaced SKU by SKU, with a rebalance proposal that doesn't break OTIF.
04
Customer Experience
For the people on the call when the OEM's line stops because of your part.
- OEM Scorecard AgentPPM, OTIF, 8D response time tracked live. The quarterly review stops being a surprise.
- Warranty & Returns Root-CauseOEM warranty returns traced back to the production batch, the shift, and the parameter that drove the failure.
- Field Failure Feedback LoopOEM field failures tied back to your process parameters. Recurrence prevented at the line, not promised in a deck.
05
Commercial & Marketing
For the people who turn capability into the next nomination.
- RFQ Response AgentIncoming OEM RFQ to drafted response in hours, not weeks. Cost, capability fit, and lead time already filled in.
- OEM Pitch Deck AgentNominated programs get a tailored pitch deck, not a recycled one.
- Brand & Industry Content AgentLinkedIn, trade-show, and press content grounded in your real program data — not your imagination.
Who we build for
Built for industries that can't afford to stop.
Manufacturing is where we started. Oil and gas and power and utilities run on the same kind of data, carry the same stakes, and are short of the same engineers.
01ManufacturingAutomotive · Semiconductor & E&E · AdvancedWhere we started. Lines, cells and test floors where a missed signal becomes a scrapped lot or a customer escape.
02Oil & gasUpstream · Midstream · DownstreamPlatforms, pipelines and refineries where a missed deviation becomes a trip, a flare or a shutdown.
03Power & utilitiesGeneration · Grid · WaterFleets and networks where a drifting asset becomes an outage everyone downstream of the meter feels.
If it's physical and it can't stop, the problem is the same shape
Explore industriesWhy now
The technology stopped being the reason.
The data is already being collected and the models are good enough. What still runs on people staying late is the work between a signal and a decision.
8hrs
per engineer per week lost to data prep and root-cause hunts
4days
typical lag from a line anomaly to a documented corrective action
68%
of plant insight trapped in slide decks and Excel, not in workflows that act
· Talk to us
Bring us the problem nobody wants to own.
Thirty minutes with the people who would actually build it. We'll tell you whether an agent is the right answer, and when it isn't, we'll say so. No deck.