Invisible AI
Visual intelligence for manufacturing: cycle-level data from every station on the factory floor.
By Invisible AI, Inc. · HQ South San Francisco, US · 4.0/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Automotive and discrete manufacturers running high-volume assembly lines that need cycle-level data on every station
- Industrial engineering and continuous improvement teams replacing manual time studies
- Plant and team leads who need real-time alerts on cycle-time drift and throughput loss
- Quality teams tracing defects back to the exact cycle with video context
- Safety and ergonomics teams flagging high-risk stations before injuries happen
Ideal size: Plants with 5+ IE/CI staff people · Mid-to-large manufacturer with a dedicated IE or continuous-improvement function
Not for
- Low-volume job shops and custom fabrication with few repeatable cycles to measure
- Companies that want a cloud-only SaaS tool with no on-premise hardware
- Process industries where human-motion video analysis adds little value
- Plants without site infrastructure or IT support to host cameras and local servers
Value metrics scorecard
Time-to-Value
Rapid on-prem deployment (weeks)
~30 days to first production value
Total Cost of Ownership
On request
Not published; enterprise quote via demo request. Deployments appear priced per line/camera, not per user seat.
Implementation Friction
3/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published; deployment is per line and station (hundreds of cameras), not per seat.
Add-on costs
- None
Company & support
Who is behind Invisible AI, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- South San Francisco, US
How you get support
We haven’t recorded support channels for Invisible AI yet. Nothing here means unverified — not absent.
Market position
Where Invisible AI sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Invisible AI
- Fero Labs
- UnitX
- Shipwell
- isolved
- Sight Machine
Add or change companies
Up to 10 companies including Invisible AI. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Invisible AI ships in AI, and what it asks of your ecosystem.
AI features shipped
Vendor describes a computer-vision system: on-premise cameras capture every cycle, AI converts manual assembly into structured cycle-level data, drift/throughput alerts are pushed to team leads, and ergonomic risk is flagged before injury. The pages reviewed name no model provider, no model key option, no AI usage logging or export, and no AI pricing.
Your data & models
- Trains on your data
- Not recorded — ask the vendor
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Invisible AI is a visual intelligence platform for manufacturing. On-premise cameras capture every cycle on every line, and AI turns manual assembly into structured cycle-level data, replacing manual time studies. Industrial engineering, production, quality and safety teams get always-on visibility, drift and throughput alerts, and defect traceability with video context. On-site Vision System Engineers lead deployment; pricing is quote-based.
Frequently asked questions
What does Invisible AI actually do?
It is a vision execution system for the factory floor. Lightweight cameras capture every cycle on every line and the AI converts manual assembly work into structured, cycle-level data. That data feeds industrial engineering, production, quality and safety workflows: cycle-time variability, process drift, throughput loss, defect traceability to an exact cycle, and ergonomic risk flags. No wearables and no operator disruption are required.
Is Invisible AI cloud-based or on-premise?
The vendor states the solution is deployed entirely on-premise with no extra bandwidth required, giving real-time feedback without accessing the cloud, and that no cloud integration is needed. Plan for local cameras, compute and network at each plant.
How long does implementation take?
Invisible AI does not publish a fixed timeline. It markets rapid deployment and seamless scalability, claiming hundreds of cameras can be deployed quickly with minimal additional infrastructure, and its on-site Vision System Engineers work with your team during rollout. Treat time-to-value as weeks and validate a single-line pilot before scaling.
How is Invisible AI priced?
No public pricing is listed; the site routes buyers to a demo request. Wording around ROI is per device and per workstation removed, so expect a quote structured by lines, stations or cameras rather than per user seat. Ask for the hardware, compute and any recurring subscription components separately.
Does Invisible AI hold SOC 2, ISO 27001 or HIPAA certifications?
None of the pages reviewed (home, company, contact, privacy policy) states SOC 2, ISO 27001, GDPR, HIPAA, FedRAMP, ISO 42001 or CMMC status. A buyer should request the vendor's security documentation and data-handling terms directly, particularly since processing is on-premise.
What types of plants get the most value?
High-volume, repeatable assembly operations with many stations and shifts, run by plants that already have industrial engineering or continuous improvement teams. Low-volume custom fabrication and non-discrete process operations are a weaker fit.