Customer Success
The operating contexts we are built for
Haltless is pre-launch, with general availability targeted for Q1 2027, so there are no case studies and no named customer references on this page. What we can show you is the ground the platform is designed against: the assets, the failure modes, and the compliance expectations of each industry below. Open the one that matches your line.
Platform principle
Every health score in Haltless traces back to specific events through a published formula, not a neural net. Operators trust it because they can reproduce it; auditors trust it because the math is on the page.
Haltless platform principles
Built for the demands of every shop floor
From robotic assembly to continuous-flow processing, Haltless adapts to your operating context.
Automotive Manufacturing
Robotic lines, stamping presses, weld cells. IATF 16949 traceability.
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Energy & Utilities
Turbines, transformers, substations. IEC 61850 over OPC UA.
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Food & Beverage
Filling, packaging, CIP systems. HACCP-ready signed records.
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Heavy Manufacturing
Presses, mills, forges, crushers. ISO 9001 work-order traceability.
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Pharmaceutical & Life Sciences
Reactors, fermenters, filling lines. FDA 21 CFR Part 11 signoffs.
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Plastics & Injection Molding
Injection molders, extruders, chillers. ISO 9001 work-order traceability.
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STOP REACTING.START PREDICTING.
Connect Haltless to your existing PLCs, validate the explainable health score on your own equipment, and we come back with a tailored quote. No new hardware, no proprietary sensors, no consultants.
WHAT YOU ACTUALLY GET
What we commit to, in writing
No case studies yet, so here is the part that does not depend on having any: what goes into the contract, and what happens in the first week.
Running in the first hour
The edge agent installs on a Linux box near your machines and reads the tags your controllers already publish. The detectors then need 24 to 72 hours to build a rolling baseline before the first meaningful alert, because a z-score has nothing to compare against until it has seen normal.
99.9% uptime, with a remedy attached
The target is a monthly uptime percentage of 99.9%, recorded in the Order Form. Miss it and you are entitled to a service credit against your next invoice, up to 30% of that month’s fee. A commitment with no remedy behind it is a preference.
One inbox, no first line
support@haltless.io reaches the person who wrote the code, which at this size is the same as saying it reaches the founder. There is no script to read from and no queue to be escalated out of. That is a consequence of company size, and it will change as the company grows.
Leaving is written down
We tell buyers to ask every vendor what leaving looks like, so ours is on the record: your telemetry exports, the audit chain verifies offline without us, and the Terms state how long access lasts after cancellation. You should not have to ask twice.
COMMON QUESTIONS
Questions before there is a case study
Do you have customer case studies or references?
Not yet. Haltless is pre-launch with general availability targeted for Q1 2027, so there are no deployments to write up and no customers to call. A vendor at this stage offering references is the first thing worth checking.
How long before the system is useful?
The agent installs in under an hour. The detectors then need 24 to 72 hours of telemetry to establish a rolling baseline before the first meaningful alert. Anything promising accuracy on day one is describing a demo, not a deployment.
What happens if you miss the uptime target?
A service credit against your next invoice, up to 30% of that month’s fee, claimable in writing within 30 days of the end of the month in question. The full calculation is in the Service Level Agreement rather than summarised away.
Who answers when something breaks at 2am?
support@haltless.io, and today that is one person rather than a rota. We would rather say so than imply a 24/7 desk that does not exist. The platform is built to fail quietly on its own side: the edge agent keeps buffering locally whether or not anyone is awake.