An automated production line running in a dark plant, a robotic arm blurred mid-cycle over a conveyor.
The parts of the process that never needed a person.
AI & automation

The work nobody should still be doing by hand

Some of this work is about cost. The re-keyed order, the freight quote chased by phone. More of it is about revenue you aren’t capturing: the spec sheet a specifier couldn’t get at 9pm, the installation video that never got made because the quote came back at five figures, the configured product nobody could price without a rep. We build the automation into the systems you already run, not alongside them.

Rendered, not filmed. Built from the product's own dimensions: 48 inch panel, 4 inch blade pitch, 45 degrees, drainable profile. Change the spec and the animation changes with it. Nobody books a studio to show a louver opening.
Running today

Automation we’ve already shipped

Live systems, in production, that you can ask us about in detail.

Industrial fastener distributor

Freight orders that clear themselves

A distributor’s reps quote LTL freight in the ERP as they always did, then set one status. Everything after that is automatic: the customer is emailed a secure payment link, the payment settles, the hold clears through the API, and the order releases to the warehouse. Nine steps, seven of them unattended.

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Bezar Master Control

An internal control plane we run our own agency on

Work board, client intake, repo access and reporting in one system, with an assistant that answers questions against live project data and respects each person’s permissions. We use it every day.

Internal, in production

Intake that triages itself

Requests arriving by email and Slack are read, summarised, matched to the right client and existing work, and queued with a recommendation, before anyone opens them.

Coatings manufacturer

Compliance that fires only when it must

Hazmat obligations detected from cart contents, forcing registration and capturing acknowledgement only on the orders that actually require it. The rule is enforced by the system rather than remembered by a person.

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Bezar Studio · in production for a coatings manufacturer

Product video built as a pipeline, not a shoot

An instructional reel is a configuration file. Narration is synthesised, captions are aligned to the audio word by word, brand treatment and music are applied, and the finished cut assembles itself. The second video costs a fraction of the first, which is what makes covering a whole product line realistic.

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Coatings manufacturer

A support agent grounded in real product data

An automated assistant answering from a manufacturer’s own catalogue and documentation rather than a generic model, so the specification questions that used to interrupt the sales team get answered correctly at 9pm.

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Coatings manufacturer

Reporting that spans the storefront and the ERP

Online performance through to ERP-level analysis in one suite, for a business whose reporting systems had never been able to see each other. Live in a week, because the access and the system knowledge were already there.

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Subscription trading platform

Live voice, broadcast in real time

A WebRTC audio service carrying a live market feed to listeners with the latency budget of a phone call rather than a stream. Built from a prototype proving the transport, then run in production continuously since 2020.

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Trading platform · pre-market briefings

Written briefings that publish themselves

Market news read, filtered and assembled into a briefing that goes out before the opening bell every trading day. It is the editorial job of a person, running unattended.

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Where we’re pointing it next

What we’d build for a manufacturer now

These aren’t case studies. They’re the work we’re actively taking on. We’d rather tell you plainly what’s built and what’s being built than blur the two.

Catalogue data, cleaned at scale

Manufacturer product data is usually spread across spreadsheets, PDFs and someone’s head. Agents can normalise attributes, reconcile variants against the ERP, and flag what contradicts itself, across tens of thousands of SKUs rather than the few hundred a person can review.

Submittals and spec sheets generated on demand

Specification documents assembled from live product data at the moment they’re requested, so what the engineer downloads matches what the system actually holds.

Quote assistance for configured products

Configuration rules that live in institutional memory, captured and applied consistently, so a new rep quotes like your best one, and the answer traces back to the rule that produced it.

A support agent that knows your catalogue

Grounded in your product data and documentation rather than a generic model, answering the specification questions that currently interrupt your sales team.

Reconciliation between systems that disagree

When the ERP, the storefront and the accounting system hold different truths, the difference is usually found late and by hand. It can be found nightly and reported instead.

Which of these is costing you the most time?

Start there. We’ll tell you honestly whether it’s worth automating yet.

Start a project