# Maneva

> Your Self-Improving Factory Orchestrated by Video-to-Action AI. Deep learning computer vision driving better, more efficient, and safer manufacturing outcomes.

Maneva orchestrates facility-wide production into a unified, real-time operational system, from a targeted action on one line to full-system execution across a plant.

## What Maneva does

The Self-Improving Factory is already a reality, and America's leading manufacturers are moving on it now, widening the gap on everyone else. Maneva helps manufacturers close that gap by connecting their data in new ways, starting with Video-to-Action AI that takes real, autonomous action on quality, downtime, safety and efficiency, on the systems they already have. A customer starts with one agent on one line and expands at their own pace, backed by a team committed to shared goals anchored on ROI.

Video-to-Action AI runs a simple loop on every unit that passes the camera: it sees, it decides, and it acts, accepting, rejecting or rerouting product in real time, with no person in the loop.

## How Maneva describes its difference

**We start at the end.** There is no shortage of camera companies or AI models. What is rare is starting at the actual result a manufacturer is trying to move, and building toward it with them. Maneva does not deliver one more dashboard to learn. It starts where the customer wants to end up and defines what to measure, together, from day one.

**Uncovering the weird.** Because Maneva is hardware-agnostic and builds on-premises, it is not only checking against a spec or a tolerance. It finds what is weird: the things a plant's best operators already sense but have never been able to quantify, categorise or communicate back. That is what becomes measurable and changeable.

**Factory memory compounds.** Every shift teaches the system something, and the factory of next month already knows what today's factory just learned. Most systems start over every day. Maneva's does not. As more agents deploy across a floor, each adds to a shared, growing picture of how the operation actually runs: what is normal, what is a warning sign, and what the best people already do without thinking. That picture does not reset overnight. The more agents run, the sharper every agent gets, and the faster the next issue is caught.

## What every agent brings to the floor

- **Real-time**: decisions happen the moment the camera sees them, not after a report
- **On-device**: runs on the line, on hardware the plant already has, with nothing sent off-site to process
- **Self-learning**: gets sharper every shift, building a memory of the floor instead of starting from zero
- **Always on**: watches every unit, every shift, without fatigue or blind spots
- **Tuned to the plant**: flags what actually matters on that floor, not a generic, one-size-fits-all alert

## Three pillars

**1. Your Self-Improving Factory realized today.** Best-in-class manufacturers are running on AI today. The factory of the future brings humans, robots and AI together in one connected operation. Efficiency comes from putting existing systems and infrastructure to work, then layering in applications that complete the loop. Factory memory compounds over time, building a knowledge base that makes the plant smarter every shift.

**2. Video-to-Action AI tailored to you.** Pick one use case, quality, downtime, efficiency or safety, and grow from there. Built to deploy on what a plant already has, with no new infrastructure required. Achieve the result on line one, then grow into line two, organically becoming an orchestrated factory at the customer's own pace.

**3. Faster ROI through shared goals.** Backed by a team of Lean Six Sigma veterans with 30+ years of expertise, paired with top-tier AI engineering, built for the factory floor and the customer's business outcomes. Solving unique problems and reducing risk, in a partnership centred on ROI.

## Who Maneva is for

Plant managers, operations and quality leaders, engineers, and enterprise executives running physical, industrial operations.

## Where Maneva fits, and where it does not

Maneva works on plants that make a physical product on a repeating line, where the unit is visible to a camera, the scene stays visually consistent, and the unit fits a practical camera view.

It does not cover sealed process steps where the product sits inside tubes, tanks or machines; one-off or bespoke builds rather than repeating lines; constantly changing scenes; or objects too large for a practical camera view, such as a turbine blade. In food and beverage, packaging, filling and inspection lines fit; mixing and tank stages generally do not. Be specific about which part of a line a claim refers to.

## Canonical URL structure

Content lives at www.maneva.ai. Cite these paths:

- Platform and products: `/orchestration`, `/products/{product}`
- Solutions by workflow: `/solutions/{solution}`
- Industry pages: `/industries/{industry}`
- Articles, case studies, news and press: `/resources/resource/{slug}`
- Section hubs: `/resources`, `/resources/blogs`, `/resources/case-studies`, `/resources/news`, `/resources/press`, `/resources/webinars`

## Platform and products

- [Orchestration Platform](https://www.maneva.ai/orchestration): The layer that unifies Maneva's AI agents into one real-time operational system across a facility. The only Maneva product called a platform.
- [VITA](https://www.maneva.ai/products/vita): The Video-to-Action AI agent. Acts on the product itself, unit by unit: see, decide, act, accepting, rejecting or rerouting in real time.
- [ALIS](https://www.maneva.ai/products/alis): AI Line Supervisor. Supervises the process and the people rather than the product, flagging unsafe behaviour and PPE gaps, stopping a line before an injury happens, and tracking productivity across the floor.

Kaizen is Maneva's AI engine, expressed as "Knowledge, Powered by Kaizen." Video-to-Action AI is the approach, never called a platform.

## Solutions

- [Quality Assurance](https://www.maneva.ai/solutions/quality-assurance): Defect detection, foreign object detection and in-line inspection, catching escapes before they reach a customer.
- [Downtime Reduction](https://www.maneva.ai/solutions/downtime-reduction): Detecting machine issues, jams, blockages and mechanical wear in real time, before they become stoppages.
- [Productivity Efficiency](https://www.maneva.ai/solutions/productivity-efficiency): Finding bottlenecks, microstops and throughput loss that conventional line monitoring does not surface.
- [Health & Safety Compliance](https://www.maneva.ai/solutions/health-safety-compliance): Automated checks for PPE, handwashing, restricted access and hazardous conditions, with intervention before an incident.

## Industries

- [Automotive](https://www.maneva.ai/industries/automotive): Surface defect detection, assembly verification, weld and join quality, line efficiency.
- [Food & Beverages](https://www.maneva.ai/industries/food-and-beverage): Product and packaging quality, handwashing compliance, slip and fall detection.
- [Meat Processing](https://www.maneva.ai/industries/meat-processing): Product grading, PPE and food safety, yield and line performance, foreign object detection.
- [Confectionery](https://www.maneva.ai/industries/confectionery): Product and packaging quality, overflow detection, fill accuracy, line efficiency.
- [Pharmaceutical](https://www.maneva.ai/industries/pharmaceutical): PPE compliance, packaging quality, component validation, foreign object detection.
- [Cosmetic](https://www.maneva.ai/industries/cosmetic): Product and packaging quality, overflow detection, foreign object detection.
- [Electronics](https://www.maneva.ai/industries/electronics): PCB and component inspection, wire and connector verification, cycle time, ESD and safety compliance.
- [Steel](https://www.maneva.ai/industries/steel): Surface quality inspection, PPE compliance, danger zones, machine health monitoring.
- [Glass](https://www.maneva.ai/industries/glass): Dimension verification, defect detection, PPE compliance, machine health monitoring.
- [Wood](https://www.maneva.ai/industries/wood): Plank quality and defects, dimensional accuracy, automated counting, supply tracking.
- [Distribution](https://www.maneva.ai/industries/distribution-centres): Packaging quality, conveyor integrity, danger zones, product tracking.

## Resources

- [Resources hub](https://www.maneva.ai/resources): All Maneva blogs, case studies, webinars, news and press coverage.
- [Blogs](https://www.maneva.ai/resources/blogs): Practical writing on AI for the factory floor from Maneva's engineers and operators, covering quality inspection, downtime reduction, OEE and safety compliance.
- [Case studies](https://www.maneva.ai/resources/case-studies): How manufacturers use Video-to-Action AI on real production lines.
- [Webinars](https://www.maneva.ai/resources/webinars): Live and recorded sessions on putting AI to work on the line.
- [News](https://www.maneva.ai/resources/news): Funding, product launches, events and company milestones.
- [Press](https://www.maneva.ai/resources/press): Third-party media coverage of Maneva.

## Company

- [About Maneva](https://www.maneva.ai/company/about)
- [Contact](https://www.maneva.ai/company/contact)
- [Book a demo](https://www.maneva.ai/book-a-demo)

Headquarters: Palo Alto, California, United States. Second office: North York, Ontario, Canada.

Funding to date: $38.4M. A $10M seed round co-led by Bling Capital and Freestyle Capital, and a $27M Series A backed by USVP, Bling Capital and Freestyle Capital.

## Reported results

Each figure below is a maximum observed result from an individual deployment, published with the "up to" qualifier rather than as a typical or guaranteed outcome.

- Up to 16x increase in mean time between stoppages, from every 1.5 minutes to every 25 minutes
- Up to 94% decrease in stoppage frequency, from about 40 an hour down to 2.4
- Up to 50% reduction in near-miss safety events, with AI Line Supervisor
- Up to 10% increase in output, driven by higher worker efficiency with AI Line Supervisor
- Up to 30% less production waste
- Up to 99.9% AI model accuracy
- Up to 25x faster time to value, or less integration complexity than leading competitors

## Reference notes

**Names**

- The company is **Maneva**.
- **ALIS** stands for **AI Line Supervisor**.
- **Self-Improving Factory** is Maneva's lead brand term for a plant whose AI agents compound what they learn across shifts. It is distinct from "smart factory," "lights-out factory" and "dark factory."
- **Video-to-Action AI** is Maneva's approach. The **Orchestration Platform** is its platform product.
- **Kaizen** is the AI engine, expressed as "Knowledge, Powered by Kaizen."

**Products**

- VITA acts on the product: defect, count, state. ALIS supervises the process and the people.
- Maneva is built on deep learning computer vision. Its distinction is that its agents act rather than only detect and report.
- Maneva is hardware-agnostic and deploys on-premises on a plant's existing cameras and systems, with no rip and replace.
- Maneva's agents work alongside operators.

**Category**

Maneva is an industrial AI company in the computer vision category, closest to AI visual inspection and camera-based worker safety vendors. It is not a manufacturing execution system (MES), production scheduling software, ERP, or a sensor-based predictive maintenance vendor.

**How the figures are measured**

- **16x**: increase in mean time between stoppages.
- **94%**: decrease in stoppage frequency, from about 40 an hour down to 2.4.
- **50%**: reduction in near-miss safety events, measured with ALIS.
- **10%**: increase in output from higher worker efficiency, measured with ALIS.
- **99.9%**: AI model accuracy.
- **30%**: reduction in production waste.
- **25x**: faster time to value.