Manufacturing & Industrial
Your factory doesn't need three AI vendors. It needs one intelligent system that connects everything.
In one line
Most factories already collect more than enough data to run better — cameras watch the line, machines throw off sensor readings, and orders flow through an ERP — but that data sits in silos and gets acted on by hand, late, and inconsistently. Quality inspection depends on tired human eyes at the end of a shift. Maintenance happens after a machine has already stopped the line. Demand planning lives in a spreadsheet that's a week out of date. The result is waste that hides in plain sight: scrap, rework, unplanned downtime, and inventory that's either short or stranded.
This matters more now because the cost of those gaps is large and well documented. The American Society for Quality puts the cost of poor quality at roughly 15% of sales for a typical manufacturer, and Deloitte estimates unplanned downtime costs industrial manufacturers around $50 billion a year. The technology to close these gaps — computer vision, sensor-based prediction, and connected forecasting — is now mature and affordable enough to run on hardware you already own. The barrier is no longer whether it works; it's getting a real system built, deployed on the floor, and trusted by operators rather than left as a demo.
Plenaura builds that system. We put computer-vision quality inspection on your existing cameras, build predictive maintenance that flags failures before they stop the line, and connect quality, maintenance, and demand forecasting into one intelligence layer instead of three disconnected tools from three vendors. We're a product engineering studio, not an advisory firm — we design it, build it, deploy it to the factory floor or the edge so it runs without depending on a constant cloud connection, and hand it over. You own 100% of the code, models, and infrastructure, with no per-seat platform fees and no lock-in.
The business outcome is fewer defects shipped, fewer surprise breakdowns, and planning decisions made on live data instead of last week's guess — from one system your team can actually maintain. McKinsey has found that around 70% of manufacturers stall in 'pilot purgatory,' with impressive proofs of concept that never scale across the plant. Our entire model is built to avoid exactly that: we don't deliver a pilot or a slide deck, we deliver a working system in production. Scope and timeline are agreed up front, work is scoped and quoted per project, and if AI genuinely isn't the right tool for a problem, we'll tell you that instead of selling it.
What we can build for Manufacturing
Vision QC on existing cameras
Computer-vision inspection that catches surface defects, missing components, mislabels, and dimensional faults using the cameras and line feeds you already have — adding hardware only when the physics genuinely demand it.
Predictive maintenance platforms
Systems that learn the normal signature of your machines from sensor and usage data and flag the early signs of failure, so you schedule repairs before a breakdown stops the line rather than after.
Connected manufacturing intelligence
One layer that links quality, maintenance, and demand forecasting, so a spike in defects, a degrading machine, and a shifting order book inform each other instead of living in separate dashboards.
Edge and on-premise deployment
We deploy on the factory floor or at the edge so inspection and alerts run with low latency and keep working even when the internet doesn't — no dependence on a constant cloud connection.
Demand and production forecasting
Forecasting that pulls from real order, inventory, and production data to anticipate demand and material needs, replacing the stale spreadsheet that drives over-ordering and stockouts.
Operator-facing alerts and workflows
Clear, actionable interfaces for line supervisors and maintenance teams — what's wrong, where, and what to do next — designed for the floor, not for a data scientist's screen.
Integration with your existing systems
We connect to your MES, ERP, PLCs, and historian so the system acts on live plant data and writes back into the tools your team already uses, rather than becoming another island.
How we deliver it
Start on the floor
We begin with the actual operation — walking the line, seeing the cameras and machines, and identifying where defects, downtime, and planning gaps cost the most — so we build for the real problem, not a generic use case.
Prove it on your line
We validate the approach against your own footage and sensor data early, so you see it working on your products and machines before committing to a full build — and we tell you honestly if a part of it isn't worth automating.
Build to production
We build the complete system — data pipelines, models, edge deployment, and operator interfaces — and put it live on the floor. The engagement ends with a working system in use, not a proof of concept.
Connect, don't fragment
Rather than bolting on separate point tools, we connect quality, maintenance, and forecasting so each makes the others smarter, on a clear timeline agreed up front.
Hand over everything
You receive the full code, models, and infrastructure with documentation and knowledge transfer, deployed on your own systems, so your team can run and extend it after we leave — with no lock-in.
What these systems are built to do
The kind of capability these systems give you — not client metrics.
AI for Manufacturing — answered
Usually not. We build vision inspection on the cameras and line feeds you already have wherever the image quality and positioning allow, and predictive maintenance on the sensor data your machines already produce. We only recommend new hardware when the physics genuinely require it — for example a defect too small or fast for an existing camera to capture — and we tell you that up front rather than padding the build.
Yes, and for many plants that's essential. We deploy on-premise or at the edge so inspection and alerts run with low latency and keep working through network outages. The system lives on your infrastructure and doesn't depend on a constant cloud link, which also keeps your production data inside your own walls.
Because in a real factory these problems are linked — a degrading machine produces more defects, and a defect trend or demand shift changes what you should run and when. Separate point tools from separate vendors leave that connective tissue, and the integration work, to your team. We build them as one intelligence layer so each part makes the others smarter, while still letting you start with just the piece that hurts most today.
No, that's the normal starting point, and building the pipeline to clean and connect those sources is part of the project, not a surprise add-on. We scope the data work honestly at the start rather than discovering it halfway through. You don't need a tidy data warehouse before we begin — assembling one is part of what we deliver.
By designing for the floor, not the lab. The system surfaces clear, actionable alerts — what's wrong, where, and what to do — and routes anything uncertain to a person rather than forcing a black-box decision. We tune confidence thresholds so it flags the things worth flagging without crying wolf, and we involve supervisors and maintenance teams during the build so the tool fits how they actually work.
You do, completely. The code, the trained models, the data pipelines, and the deployed infrastructure are all yours, running on your own servers or edge devices. There are no per-seat platform fees and no vendor lock-in, and we provide full documentation and a handoff so your team can maintain and extend the system after we leave.
It depends on scope — a single vision-QC station on one line is a very different effort from a connected QC, maintenance, and forecasting platform across a plant. We scope and quote each project individually and commit to a clear timeline agreed up front, typically starting with a focused first system that proves value before expanding. We'd rather ship one thing that works and earns trust than promise a sweeping rollout that stalls in pilot purgatory.
Other industries we build for
Let's build it for Manufacturing.
Tell us the operation you want to transform. We'll map the system and scope it with you — or give you an honest no.