Defects found too late
Manual inspection misses subtle flaws, and scrap piles up before anyone notices a drift.
← All solutionsSmarter lines.
Solutions · Manufacturing
Smarter lines.
Zero guesswork.
From visual inspection to maintenance copilots, HyperAI brings instant intelligence to every station on the floor — so you catch defects earlier, prevent downtime and keep output flowing.
Free to start · No card required · Live in minutes
µs
routing overhead for line-speed decisions
1 API
for vision, text and reasoning
24/7
self-serve console for every shift
5-day
billing cycles, no surprises
Every minute of downtime has a price.
Unplanned stoppages, missed defects and tribal knowledge walking out the door all hit throughput. Plants generate oceans of data, but turning it into decisions at line speed is still hard.
Reactive maintenance
Equipment fails without warning because sensor data and maintenance logs are never analysed together.
Expertise is retiring
Decades of troubleshooting knowledge lives in a few senior technicians’ heads.
Capabilities
Intelligence at line speed
Bring real-time AI to quality, maintenance and operations without slowing production.
Visual quality inspection
Vision models flag surface defects, misalignments and missing parts directly from station imagery.
Predictive maintenance insight
Analyse sensor readings alongside work-order history to spot failures before they happen.
Technician copilots
Give every operator instant answers from manuals, SOPs and past repair notes, in plain language.
Production planning support
Reasoning models help evaluate schedules, changeovers and constraints to keep lines balanced.
Document intelligence
Extract specs, tolerances and certificates from engineering drawings and incoming-goods paperwork.
Plant-level governance
Scope keys per site and line, set limits and review usage logs from a central console.
How it works
From pilot line to every plant
- 1
Create your account
Start free and connect your first use case — a station, a line or a maintenance team.
- 2
Pick a model and get a key
Choose vision, reasoning or chat models and issue keys per site for clean attribution.
- 3
Ship to the floor
Roll out to production and scale plant by plant with full usage visibility.
Use cases
Where manufacturers deploy HyperAI
Inline defect detection
Classify product images at each station and route suspect parts for human review instantly.
Maintenance log analysis
Mine years of work orders to surface recurring failure modes and the fixes that worked.
SOP and work instruction assistants
Conversational access to procedures in any language, right at the workstation.
Shift handover summaries
Auto-generate concise handover reports from logs, alarms and operator notes.
Outcomes
What plants achieve
Earlier
defect detection
Catch quality drift at the station instead of at final inspection or, worse, the customer.
Less
unplanned downtime
Insight from combined sensor and maintenance data helps teams act before equipment fails.
Captured
expert knowledge
Technician copilots preserve hard-won know-how and make it available to every shift.
The factory of the future thinks at the speed of the line.
HyperAI puts real-time intelligence at every station, on every shift.
FAQ
Questions, answered
Is inference fast enough for production lines?
HyperAI is designed for real-time workloads, with minimal routing overhead and edge routing to keep responses close to where they’re needed.
Can it analyse images from our inspection cameras?
Yes. Vision-capable models in the catalog can classify and describe images you send through the API.
How do we manage multiple plants?
Issue keys per site, line or application, set spend limits and review usage centrally in the console.
Can operators use it in their own language?
Yes. Multilingual models can answer questions and translate procedures for teams across every region.
How is usage billed?
Metered by actual use, with billing settling every five days so plant managers always know where spend stands.
Bring instant intelligence to your floor.
Start free and put your first AI use case into production this month.