Bardin Customer Segments
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Bardin AI helps applications engineers, technical sales teams, and support teams scope, deploy, and support complex automation and robotics solutions.
Explore what changes for your segment, from scoping to deployment to support.
How Industrial Teams Use Bardin
Every segment we work with shares the same challenge: complex, configurable automation and robotics solutions that require application engineering judgment to scope, deploy, and support, and a business model that breaks down when that judgment is bottlenecked.
Bardin captures that judgment and puts it to work through AI tools and agents, so your team can respond to customer requests faster, generate accurate technical proposals, validate feasibility, and resolve support issues without constant engineering escalation.
Automation Component OEMs
Your revenue depends on getting specified into other people's projects, and that depends on technical credibility in the moment a rep is asked a question. Sales and application engineers can't be everywhere, so a rep without deep product knowledge loses the spec to whoever answers first. New technical hires take 12-18 months to become productive, and right now, that knowledge lives in two or three senior people who are close to retirement.
- Scope inbound requests with a questionnaire that adapts to the application.
Fit and compatibility questions get walked through the way a senior applications engineer would probe them, environmental conditions, existing installed base, certification requirements, so a rep can confirm a spec-in without waiting on an escalation. - Deploy support in real time during commissioning.
Product specs, parameter recommendations, and configuration guidance are available at the moment an integrator hits an issue on-site, so commissioning doesn't stall waiting on a callback. - Support field failures using real application history.
A failure gets checked against the original spec, duty cycle, and rated tolerances, and cross-referenced against similar cases elsewhere, so root cause gets identified instead of guessed at.
Robotics OEMs
Every robot deal depends on answering payload, reach, and integration questions before the customer moves to a competitor who answers faster. Your application engineers are stretched across pre-sales, active integrator relationships, and post-install escalations simultaneously, and edge-case application knowledge lives with a small number of senior people whose time is the actual bottleneck on how many deals you can support at once.
- Scope every deal with a questionnaire that captures the real application.
Payload, reach, safety zoning, and installed base get walked through systematically, the same follow-ups your best applications engineer would ask, so a proposal reflects the full application on the first pass instead of a headline spec. - Deploy support for integrators building your robot into a cell.
Joint limits, cell layout, and the original scoping data are available the moment an integrator hits a fault mid-commissioning, so a path or configuration issue gets resolved without waiting on your engineering team. - Support field faults using real maintenance data.
A fault gets checked against maintenance history, duty cycle, and every resolved case with the same fault code, so the diagnosis is grounded in what's actually happened before, not a generic manual.
Systems Integrators
Every project is a bet against unknown complexity, and margin lives or dies on scoping accuracy. When the scope is wrong, the cost overrun lands on you. The same senior engineer holds the knowledge that would have caught it, so every deal waits on them, and the same commissioning mistake gets repeated on site 3 that was already solved on site 1, because nothing from that project carried over.
- Scope with a questionnaire built for how your best engineer thinks.
A dynamic set of questions adapts as your team answers, surfacing the next relevant follow-up on integration risk, labor hours, and equipment mix, the same way your most experienced estimator would probe a new bid, so estimates reflect what projects actually cost instead of a rough guess. - Deploy against what was actually specified.
When conditions on-site diverge from the plan, the original scope, equipment specs, and prior commissioning decisions are pulled together automatically, so field adjustments get made against real project data instead of memory. - Support without pulling the engineer who built it off their next project.
Tickets get resolved using the full project record, PLC logic, equipment history, prior fixes, so a different engineer can pick up an issue with the same context the original builder had.
Robotics-as-a-Service (RaaS)
Your revenue depends on getting robots live fast and keeping them running at scale, without headcount growing in lockstep with your fleet. Each new deployment is nearly as slow as the last one, because lessons learned on-site rarely make it into a reusable playbook, and support depends on the one person who commissioned a given site. Every hour of downtime is an SLA risk you're carrying alone.
- Scope new sites with a questionnaire that flags risk before you commit.
Site-specific questions on layout, lighting, and floor conditions get checked automatically against fleet specs and prior deployments with similar characteristics, surfacing risk before a site is committed to instead of after. - Deploy from a working configuration, not a blank one.
Navigation, charging, and integration settings from the closest comparable prior deployment are surfaced automatically, so a new site starts from what already worked instead of a default configuration. - Support the fleet before sending someone out.
Fault patterns get checked against every prior resolved case across the fleet, so a fix that worked at one site can be applied at another without a truck roll to diagnose it first.
Industrial Automation Distributors
Your reps are expected to carry technical knowledge across every brand and SKU you represent, and speed decides who wins the deal. No rep can hold the full catalog in their head, so a cross-brand compatibility question usually means a supplier callback that can take 24-48 hours, long enough for the customer to call someone else. Every one of those escalations also pulls your own application engineers off the accounts that actually need them.
- Scope cross-brand requests with a questionnaire that spans your full catalog.
Compatibility and configuration questions get answered against every brand you carry, not just the ones a given rep knows well, so a quote-ready configuration comes together in the same conversation instead of after a callback. - Deploy account prep using real purchase history.
Installed base and prior purchases are surfaced automatically ahead of a customer meeting, so cross-sell opportunities are grounded in what an account actually owns, not a guess. - Support multi-brand issues without a supplier callback.
Wiring diagrams and compatibility data across every brand you carry are checked together, so a cross-brand troubleshooting issue gets resolved in the call instead of escalated to a supplier.
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