Safety today.
Robotics tomorrow.
One foundation.
Quiltext designs, deploys, and operates worker safety AI for field crews, construction sites, and factory and distribution floors — a spotter that never blinks, and a teacher that's always learning. Cameras positioned on the active crew and sensors on the work zone verify protective controls on every job, every day, warning when an unsafe event is seen or projected, coaching instead of policing — while the same models and rules stand ready to govern the robotics and autonomous vehicles that come next.
Safety pays twice.
Injury rates count what already went wrong. The cameras, sensors, and models that verify safe work as it happens cut incidents, insurance modifiers, and prequalification risk today — and the same capture, done right, is the operational record tomorrow's robots learn from. Protect the worker now. Bank the foundation while you do.
Safety today
- Continuous verification of protective controls — PPE on, cover-up applied, fall protection clipped
- Dangerous conditions flagged as they form — and projected before they do — thermal, proximity, at-height, struck-by
- Leading indicators on every crew, every shift — exposure measured before the incident
- Fewer recordables, a better EMR, and prequalification grades that win bids
Robotics tomorrow
- The same sensors, models, and activity-based rules that coach your people become the installed safety program for your robots and autonomous vehicles
- One standard, both workforces: machines arrive knowing your rules — drop zones, approach distances, right-of-way, permit gates — and are held to them
- The most dangerous work — at height, near energized equipment, in confined space — handed to machines that adhere to your safety parameters
- Every verified task also becomes calibrated, consented training data — no teardown, no redo, just the next phase
Disaster and storm response is when risk peaks and observation collapses — surge crews, mutual assistance, unfamiliar territory, night work. Portable kits deploy with the crews, so protection scales up exactly when exposure does — and every restoration hour is captured, verified, and defensible.
Assess. Design. Deploy. Operate.
One lifecycle, one accountable partner. We scope the system, build it, and run it — on your sites, your systems, and your practices. Pricing is scoped to your operation; the walk-through is free.
Safety AI Assessment
A fixed-scope survey of one site or one crew's day: where exposure hides, where cameras and sensors earn their keep, what your network and data can support — with the data-rights and workforce commitments drafted before a single lens goes up.
System Design & Deployment
Positioned cameras aimed at the active crew, environmental sensors, edge compute, and the backend architected to handle it — integrated with your systems and rolled out site by site, with the workforce brought along, not surprised. Wearable point-of-view cameras are a future-state offering — the logical next step once the positioned system has proven itself and the crews have enrolled it, never the first step.
Models on Your Practices
Detection models tuned to your work, and small language models trained on your safety manual, permits, and procedures — so the system knows what safe looks like for your crews, not the internet average.
Managed Safety Operations
We run it: model tuning, new detections, drift monitoring, reporting your EHS team and insurers can use — and the quarterly automation-roadmap review as the robotics horizon approaches.
A model only your company could build
Off-the-shelf safety AI ships one-size-fits-all detections. We build small, specialized models trained on your safety manual, your permits and procedures, and the way your best crews actually work — turning your practices and policies into a system that knows what safe looks like on your sites, and into an asset you own.
Built on your practices and policies
Your safety manual, work methods, permit language, and site rules become the model's ground truth. The system verifies work against your standard — not a generic checklist that fits nobody's operation.
Small, private, and yours to keep
Efficient enough to run at the edge, on your sites, inside your perimeter — private by design and owned outright. Not rented from a frontier vendor by the token, and never training someone else's model on your footage.
The cornerstone of the roadmap
The model that verifies safe work today becomes the reference for how your automation behaves tomorrow. Your practices, encoded once, carried through to the machines.
Adoption is the safety feature
A safety system only works if the crews trust it. We enroll and train the whole chain — from the crew on the pole to the EHS office — so the system lands as a spotter, not a surveillance program.
Trust
Before the first camera goes live, every crew knows exactly what the system sees, what it never records, who can access what — and how it clears them when they did the job right.
Coaching
Alerts arrive as coaching moments, not citations. Supervisors learn to run toolbox talks from real, anonymized moments on their own sites — the near-misses nobody used to see.
Ownership
Your safety and IT teams own the dashboards, the detection library, and the governance — sustaining the program, and the data asset underneath it, long after we've gone.
Fewer incidents. Better standing. Bigger bids.
The case for worker safety AI isn't only humane — it's commercial. Insurance modifiers, customer prequalification, and regulatory exposure are all driven by the routine incidents continuous verification suppresses. And the same deployment banks the training data your automation future depends on.
See the near-miss first
Injury rates count what already went wrong. Continuous, vision-based verification of protective controls — PPE on, cover-up applied, fall protection clipped — measures the exposure that comes before the incident, on every crew every day, not the handful an observer happens to visit — turning the industry's own sampled high-energy control assessments into a continuous census.
Safety decides who bids
Insurance modifiers and customer prequalification grades are driven by the frequency of routine incidents — and a bad year follows you for years. Continuous verification suppresses exactly that frequency. Done right, safety isn't a cost center. It's bid eligibility.
The dual-use dividend
The same sensors, models, and rules that protect your crews become the safety program your future robots and autonomous vehicles run under — one standard for humans and machines. And captured correctly — calibrated, consented, from day one — the record also trains the automation it will govern. That value is decided at capture time.
No individual discipline from AI alerts. Alerts coach and exonerate; any action requires human corroboration. A system that serves the worker's interest first is the only kind that survives its second month in the field.
No biometric templates. No audio. Task-focused capture. Architected so no face or hand-geometry template is ever created, microphones stay off, retention is short and automatic — and workers can see their own data.
Exoneration is a headline use case. The same record that flags a hazard clears the worker who did it right. Aggregate-first reporting, governed jointly with the workforce.
Secured by design, not patched later
Security isn't a phase at the end of our roadmap. It's threaded through every one of them — because a foundation that can be compromised isn't a foundation.
We'll say the uncomfortable part out loud: a safety AI system is cameras pointed at people, connected to your network, producing data worth protecting. Instrumenting the work creates the attack surface, and footage of how your operations run is worth stealing — and worth poisoning. For organizations working in and around critical infrastructure — grid assets, generation stations, refineries, and the sites that build them — that exposure is not hypothetical. Every vendor deploying safety AI creates it. We're the ones who tell you, and then close it.
Security Posture & Threat Model
A baseline of what you actually have, what it's connected to, and what an attacker would go for. Passive discovery only — we never active-scan a live OT network.
Secure-by-Design IT / OT
Segmented zones and conduits designed to IEC 62443, so the bridge between your business systems and your plant floor is a controlled crossing rather than an open door.
AI & Model Security
Protecting the model that encodes your edge: bill of materials, data-poisoning defenses, boundaries on what an agent may act upon, and adversarial red-teaming.
Cyber-Physical & Fleet Hardening
Cryptographic identity per machine, behavioral anomaly detection, and a rehearsed incident playbook — before anything moves. This one is a gate, not an option.
A model is never the last line of defense before an actuator. A deterministic, non-ML policy check always sits between a model and anything that moves.
Safety systems are independently certified and not network-reachable. E-stops, light curtains, safety PLCs. No exceptions, no "temporarily," no "just for commissioning."
We never active-scan a live OT network. Passive discovery only. A scan that's routine on an IT network can stop a production line.
Cybersecurity is becoming a condition of doing business — through regulation, insurance underwriting, and the vendor security questionnaires your own utility and industrial customers now send you. Contractors and operators with real IT security functions still have near-zero OT and AI security capability. That's the gap we close, and it's often what unblocks procurement of the safety system itself.
Led by the field. Built for the site and the floor.
We deploy where the work is dangerous and distributed: utility and vegetation-management field crews first, construction sites, and the factory and distribution floors that move the goods — warehouses, DCs, plants, and generation stations, with disaster response designed into the plan, not bolted on after.
Generalist vendors ship the same detections everywhere. We already know why a line crew's cover-up matters, what a permit-to-work actually gates, how a storm roster assembles overnight, and what a lost-time incident does to your EMR and your next bid. That's the difference between a camera pilot and a safety program.
Where we go deep
Focus is a feature. Every deployment compounds our detection library, data models, and integration patterns for the environments we serve — so the next site starts further along than the last.
Advice you can trust, an edge you can keep
Environment depth
We know field, site, and floor operations — how crews dispatch, what permits gate, how shifts run. No ramp-up on your dime.
Coach, not cop
Trust architecture in writing — no discipline from alerts, no biometrics, exoneration as a headline use case. It's why our deployments survive month two.
IT/OT fluent
We speak to your CISO, your crew leads and your plant floor. Secure-by-design architecture that clears procurement.
Dual-use by design
Every deployment is architected so today's safety record doubles as tomorrow's automation training data. That value is decided at capture time.
Four passes, one continuous thread
The same system that protects your people today is the one that trains your machines tomorrow. We build each pass so it serves both.
See the work
Cameras positioned to cover the active worker or crew, environmental sensors, and edge compute — instrumentation designed around the job, watching for hazards and unsafe practices and warning when an unsafe event is seen or projected. Cameras and camera arrays carry the system today — nothing on the worker; wearable point-of-view capture is a future-state offering, the logical next step rather than the first.
Understand it
Detection and language models built on your practices and policies — verifying protective controls, spotting dangerous conditions, and learning your definition of done-safely.
Change the outcome
Coaching workflows, exoneration records, and reporting your EHS team, insurers, and customers can act on — incident frequency down, prequalification grades up.
Bank the foundation
Your environment's safety rules, encoded and field-proven, ready to install on the robotics and autonomous vehicles that follow — plus calibrated, consented capture with data rights settled from day one, and the backend and security the roadmap plugs into.
Built with partners across the stack
No one company owns worker safety end to end. We design, deploy, and operate the system — and we build it on an ecosystem of technology, hardware, channel, and insurance partners so every deployment starts further along than the last.
Platform partners
Enterprise analytics, edge event processing, and model governance our reference architecture is designed to run on — with audit trails your safety organization and insurers already accept.
Camera, sensor & edge partners
Field-hardened cameras, environmental sensors, and edge compute selected for rights-of-way, job sites, and plant floors — integrated rather than invented, so hardware never becomes the hazard.
Distribution & integration partners
Industrial distributors, systems integrators, and safety-supply channels that already serve the crews and plants we protect — bringing the system to the counter where PPE is bought today.
Risk & compliance partners
Carriers, brokers, and EHS platforms turning verified safe work into better modifiers, premium credit, and prequalification standing — so the safety system helps pay for itself.
Partner name
Become a partner. If you make the hardware, run the platform, carry the risk, or already sell to the crews and plants we serve, there's a place for you in the stack.
Start a partner conversation →In the field, on the record
Talks, articles, and coverage on worker safety AI, the coach-not-cop trust architecture, and the road from safety data to physical automation.
Title of the article, talk, or coverage
One or two sentences on what it covers and why it matters to a safety leader, an operator, or a partner.
Read →Worker Safety AI — the brief
How we deploy, the coach-not-cop commitments we put in writing, and the dual-use data thesis — in one page, with editions for field, construction, and factory & distribution.
Get the brief →Why we're the ones to do this
Our mission: make the workplace, wherever it is, safer today for the field crews, builders, and operators who keep the country running — and build the foundation for machines to work safely side by side with those crews tomorrow. Built once, built securely, owned by you.
We've watched safety programs and automation projects stall for the same reason: the record of how work actually happens was never captured. Observation samples a fraction of the work. Injury counts arrive after the harm. And when automation finally shows up, nobody has the data it needs to learn. Plenty of vendors sell cameras. Very few architect the capture, the models, and the security as if a worker's trust — and a robot — will one day depend on them. In your operations, both will.
Quiltext is a woman-owned business, incorporated to do that work properly, once. And we chose the field, the construction site, and the factory and distribution floor rather than every industry — because a firm that knows how crews are dispatched, what a permit gates, how a storm roster assembles overnight, and what an EMR does to the next bid doesn't spend your budget learning your business. Every deployment makes the next one sharper — and that detection library and playbook is a head start every new client inherits.
Early has advantages
We're building our first public case studies now, with a small founding cohort of field-service, construction, and industrial clients. Cohort members get founding-team attention on every deployment, preferred terms in exchange for a reference, and first position on the automation roadmap when the robotics horizon arrives. If you want the head start, this is the window.
A spotter that never blinks. A teacher that's always learning.
Every crew deserves both. A short walk-through of one site or one crew's day shows where exposure hides, what continuous verification would catch — and how the same models and rules that protect your crews become the safety program your future robotics and autonomous vehicles must follow.
Not ready to talk? The brief covers how we deploy, the coach-not-cop commitments, and the dual-use data thesis — request it here.
Get the brief
Tell us where to send it — the PDF arrives by email from info@quiltext.com.