For companies

An AI agent factory
for your company.

We build agents around the work your team actually does — in your branding, connected to your tools.

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✓Tell us one job your team repeats. We will show you the agent for it.
Your company’s agents
Tender Response Builder
Bids team
Live
Site Survey Report
Field engineers
Live
Client Onboarding Pack
Account managers
In build
Every output saves itself and shares on a link

Agents built around your work.

Not a licence to generic software. Agents shaped to how your company already operates.

Your workflows

We start from a job your team repeats — a report, a bid, a pack, a review — and build the agent that produces it.

Your branding

Every output comes out looking like your company, not like a template.

Your tools and data

Agents can read your documents and pages, and write into the formats your team already uses.

Outputs that save themselves

Trackers and dashboards keep what your team enters, on any device, without anyone pressing save.

Share on a link

Send a finished output to a client or colleague with a link — open to anyone who has it, or restricted to your team.

Yours to run

Your team uses the agents whenever they need them. We keep them current as the work changes.

Add on as you need it.

The agents are the core. These come with them, or later, whenever your team is ready.

Prompts

A prompt library for your team

Prompts written for your industry and your tools, kept in one place so nobody starts from a blank box.

Learning

AI Solutions Library access

Hands-on guides to the tools your team is choosing between — chat, presentations, research, images and more.

Coaching

Sessions with your team

Short, practical sessions on the work in front of them, rather than general AI theory.

Platform

Your own branded space

Your agents, prompts and outputs behind your login, looking like your company.

How it works
Start from something proven. Make it yours.
1
Tell us the job
A short call about what your team or your customers need to do.
2
We build your version
We start from one of our agents and set it to your rules, your data and your brand.
3
You use it
On your website or inside your team’s tools, from the day it is ready.
Case study 01
Fitness and activewear
A try-on wheel on a fitness brand’s own website
Shoppers can see a piece on themselves before they buy. The brand adds new pieces in its own back end, and the website updates by itself.
The client
An online activewear brand
Built from
Our Outfit Try-On agent
Lives on
The brand’s own website
Updates
Automatically, from their back end
The problem
Shoppers could not picture it on themselves.
Their product photos were good, but always on a model. Shoppers had to guess how a top would look on them, and a guess is an easy reason to leave the page or send something back.
They wanted a try-on on their own site, without calling a developer every time a new piece launched.
1
The back end: add a photo, done
We added a Try-on pieces page to their store admin. Their team drops in a product photo, and it is on the website wheel as soon as it uploads. A switch takes a piece off the wheel when it sells out.
No developer, no rebuild, no waiting on us.
Store admin page for try-on pieces
Illustration of the back end. Product names shown for illustration.
Try-on wheel and result on the brand website
Illustration of the storefront. The try-on result is real.
2
The front end: pick a piece, see it on you
Shoppers spin the wheel, pick a piece and add a photo of themselves. The piece appears on them, with their face, pose and background kept the same. The Add to basket button sits right beside the result.
If a photo will not work, such as face only or too blurry, the shopper is told what to change before anything is made.
What made it theirs
Their own products, straight from their store
Their colours and fonts, so it looks like their site
Checks that catch unclear photos and say so
Pieces switched on and off from the admin they already use
See the public version
Outfit Try-On
The same try-on engine, for anyone to use with their own photos.
Case study 02
Education technology
An RFP scanner set to one EdTech team’s exact rules
The bids team finds the tenders worth answering, without reading every education portal by hand. Every scan follows the rules they set once.
The client
An EdTech software provider
Built from
Our RFP and Opportunity Scanner
Used by
Their bids and sales team
Set up
Once, with the team’s own rules
The problem
Too many portals, too few good fits.
Tenders from school districts, state education departments and universities are spread across dozens of portals. The team was losing hours a week reading notices that were never a fit, and still missing some that were.
They needed the search to know exactly what they sell, where they sell it and what they will not bid on.
1
Their rules, saved once
We set the scanner to their buyers, their regions, the products they bid with, what to leave out and their minimum contract value. Nobody retypes a brief. Anyone on the team presses Run scan and gets the same, consistent search.
Saved scan settings for the bids team
Illustration of the team settings.
Opportunity cards with deadlines
Illustration of a scan. Opportunities shown are examples, not live tenders.
2
Only the tenders worth answering
Each result shows who is buying, where, the rough value and when it closes, with a short line on why it fits and a link to the source notice. Results are shared with the team on one live link, so everyone works from the same list.
What made it theirs
Their buyers, regions and product lines built in
Tenders outside their rules left out automatically
A plain reason for every match, with the source
One shared list for the whole bids team
See the public version
RFP and Opportunity Scanner
The same scanner, for any company and any market.
Have a job for an agent?
Tell us what your team or your customers need to do. We will show you what a version built for you would look like.

Questions?

Reach out.