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Intelligence Layer

One account, one ledger, one agent layer. The modules are what you switch on.

Platform overview
The AI Intelligence Layer

One intelligence layer under every module: the same data, the same agents, the same ledger, whichever function you switch on.

  • One layer, every module
  • Shared data and agents
  • Every run on one ledger
Go to The AI Intelligence Layer
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The Architecture

One account carries every brand you run. Modules are switched on per brand, and every run lands in the same ledger.

  • One account, many brands
  • Modules toggle per brand
  • A single billing ledger
Go to The Architecture
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The agent layer

Three kinds of agent. Watchers notice, drafters produce, and Ask Intelligence answers from your own numbers.

  • Watchers run on a schedule
  • Drafters wait for sign-off
  • Answers carry their source
Go to The agent layer
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Security

Isolated tenancy, roles that mean something, and a plain answer about what leaves your account.

  • Per-tenant isolation
  • Roles down to the module
  • Stated data boundaries
Go to Security
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By role

The same product, read by job. For the person who holds the job, and for the company where the platform is the hire.

All roles
CEO / Director

Five dashboards, the ones you describe in a sentence, a weekly review that explains what moved, and a question box that quotes the real figure.

  • A weekly review with causes
  • Dashboards from a sentence
  • Caps on every dollar spent
Go to CEO / Director
Marketing

Brand Content, Social, Search, and Ads on one account, with seven watchers that report what moved and a voice you teach once.

  • 37 text formats, priced runs
  • Six networks, real limits
  • Google ranks and AI answers
Go to Marketing
Sales

A pipeline that won’t let a deal sit without a next step and a date, red dots on the quiet ones, and follow-up mails drafted in your own Gmail.

  • Overdue and quiet deals flagged
  • Drafts wait for your Send
  • Two currencies on every amount
Go to Sales
Project Manager

Kanban and Gantt over the same cards, projects only their team can see, and work that arrives from findings, deals, posts, and validation requests.

  • Five ways a card arrives
  • A team and a planned cost
  • The Friday report as a PDF
Go to Project Manager
Customer Service

An assistant on your website that answers from what you gave it, says so when it doesn’t know, and logs every question it couldn’t answer.

  • On any site, one pasted line
  • Refuses to guess
  • A daily budget per desk
Go to Customer Service
Finance

The pipeline as numbers, every amount in two currencies, and a ledger and caps on every AI run.

  • The pipeline, weighted by stage
  • Two currencies, one rate table
  • Every run on the ledger
Go to Finance
Web

Rank tracking and the keyword gap, page formats that read the page they replace, and a desk on the site that sets no cookie.

  • Ranks in 232 markets
  • Pages written to a format
  • A desk on the site, one line
Go to Web
Human Resources

No HR module, said first. Drafting in the Playground, a handbook employees can question, and onboarding as tasks with owners and dates.

  • A handbook that answers
  • Onboarding as dated tasks
  • Free accounts for every hire
Go to Human Resources

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Services

The people around the product, from the first connection to a named operator on your account.

All services
Onboarding

At least four hours, live: your account set up with you, your team trained, then three months of support.

  • 1,000 USD, 300 back in your wallet
  • At least four hours, live
  • Three months of support
Go to Onboarding
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Data integration

We connect the systems you already run and prepare the data behind them, so every answer has a source.

  • Connectors built and tested
  • Metrics defined once
  • Sources reconciled
Go to Data integration
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Custom features

An agent or a function built for your process, on the same ledger and under the same approval gates.

  • Scoped before it is priced
  • Same gates, same ledger
  • Yours to keep
Go to Custom features
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Dedicated hosting

A single-tenant deployment in the region you choose, with the data boundary written down and an uptime commitment.

  • Single tenant
  • Region of your choice
  • Uptime in writing
Go to Dedicated hosting
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Premium Support

A named contact, committed response times, and a quarterly review of what ran, what it cost and what to change.

  • Named contact
  • Committed response times
  • Quarterly review
Go to Premium Support
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Training

Sessions for the people who will approve, review and ask, so the workforce is used rather than watched.

  • By role, not by feature
  • Live on your account
  • Recorded for the next hire
Go to Training
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Managed operations

Someone reviews what the watchers found, approves the drafts within your caps, and runs the weekly review.

  • Drafts approved in your name
  • Caps respected
  • Weekly review delivered
Go to Managed operations
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About

Why this was built, who is behind it, what it has done for the companies running it, and how to run it well.

About BearingBridge
Why we built it?

What a company can do has been capped by who it could afford to hire. That cap is the thing that moved.

  • Capability, not headcount
  • Written, not benchmarked
  • No lock-in claim
Go to Why we built it?
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Who is behind BearingBridge?

Who built this, what it is independent of, and why that independence is worth stating out loud.

  • Model-independent
  • No data resale
  • Named people behind it
Go to Who is behind BearingBridge?
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How we run the work

The six-phase method every account is built on: a written bearing, a dated baseline, a pilot on real data, and a fix that reconciles the money.

  • A kill criterion, in writing
  • Costs watched as they run
  • An ending without us
Go to How we run the work
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Case studies

Ten builds told the way they ran: the situation, what was built, what changed months later, and what got switched off.

  • Sector and function stated
  • Client-verified figures
  • The stopped work left in
Go to Case studies
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FAQ

The questions that come up before every demo, answered here so the demo can be about your business.

  • Product and billing
  • Security and data
  • Answered in plain words
Go to FAQ
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Testimonials

Customers on the module they actually run, quoted directly, with the module named.

  • Module named each time
  • Quoted, not paraphrased
  • Role and size given
Go to Testimonials
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Changelog

What shipped, dated, newest first. The place to check whether the thing you were promised exists yet.

  • Dated entries
  • Shipped only
  • Linked to the module
Go to Changelog
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Partner program

Run the platform for the companies you advise. Every client is a brand on your account, billed on its own ledger.

  • Clients as brands
  • Separate ledgers
  • Margin on every run
Go to Partner program
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Seats are free — you pay for what the AI runs

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Pricing

Seats are free. You pay for what the AI actually runs, and you see the price first.

Full pricing
How it works

Three sentences, and that is the whole model. No tiers to decode, no per-seat arithmetic to do.

  • No seat licence
  • No annual lock-in
  • Three sentences long
Go to How it works
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Seats

Give an account to everyone who needs one. The number on the invoice does not move when you do.

  • Unlimited accounts
  • Zero per-seat cost
  • Roles still enforced
Go to Seats
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What things cost

Image and video show their price before you run them, everything else its cost the moment it ends, and the machine’s own mistakes are not billed to you.

  • A price on every run
  • Retries are on us
  • Itemized in the ledger
Go to What things cost
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Caps and gates

A daily allowance per person, a monthly cap for the organization and a budget per agent, and an approval gate in front of anything that publishes or spends.

  • Caps per person and agent
  • Approval before publish
  • A zero balance stops the AI
Go to Caps and gates
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Questions

The questions people actually ask about the bill, answered on the page rather than in a call.

  • Overage answered
  • Cancellation answered
  • Migration answered
Go to Questions
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Seats are free — you pay for what the AI runs

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Insights

Three collections, one standard: long-form, sourced, dated, and never behind a form.

All insights
AI Trends

What is moving under the industry: model economics, the Chinese price tier, and how buyers now ask assistants instead of searching.

  • The model market, read closely
  • AI search and citations
  • Every claim sourced and dated
Go to AI Trends
A white leaderboard sheet of six rows on a pale grid, its top row edged and filled in deep cyan, the others in greyModel benchmarksEvery model, scored in publicSourced scores for the text, image and video models in the app, refreshed twice a month. Each figure links to the page it was read on.Compare the models
Best Practices — AI Guide

The working guide: when to buy and when to build, when an agent is the wrong tool, and what survives contact with production.

  • Build-or-buy, decided
  • Architectures that ship
  • Prompts that do real work
Go to Best Practices — AI Guide
A white leaderboard sheet of six rows on a pale grid, its top row edged and filled in deep cyan, the others in greyModel benchmarksEvery model, scored in publicSourced scores for the text, image and video models in the app, refreshed twice a month. Each figure links to the page it was read on.Compare the models
CEO's Opinion

Signed columns from the person running the company: what building agents across six functions actually shows, ahead of the industry line.

  • Signed, never ghostwritten
  • From live builds, not decks
  • Positions, not press releases
Go to CEO's Opinion
A white leaderboard sheet of six rows on a pale grid, its top row edged and filled in deep cyan, the others in greyModel benchmarksEvery model, scored in publicSourced scores for the text, image and video models in the app, refreshed twice a month. Each figure links to the page it was read on.Compare the models
AI model benchmarks

Every model you can pick in the app, for text, image and video, scored on public benchmarks, with the model behind Quick, Balanced and Best.

  • Sortable scores, each one sourced
  • A price level, never an amount
  • No figure ever estimated
Go to AI model benchmarks
A white leaderboard sheet of six rows on a pale grid, its top row edged and filled in deep cyan, the others in greyModel benchmarksEvery model, scored in publicSourced scores for the text, image and video models in the app, refreshed twice a month. Each figure links to the page it was read on.Compare the models

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Modules / Ads

Your ad accounts, read live, and changed only when you say so.

Each person connects their own Google Ads and LinkedIn Ads accounts. Every page reads them live: a dashboard per network, the campaigns to change from here after a check, AI keyword research and suggestions for Google Ads, and the LinkedIn Ad Library for what others run.

Google Ads Keywords for Laneige SEA: the keyword pool and its three sources, the SEO keywords tracked for the brand, Search Console and your own keywords, each with its switch, above the box for typing your own
Tracked in SearchYour Search ConsoleTyped by you

Demo workspace. Invented brand and figures.

2ad networks managed live
15headlines per AI-written ad
232markets to target
17ad languages
Google Ads

Four tabs, each read live from your own account.

Dashboard

How the account is doing

Cost, conversions, cost per conversion, clicks, click rate and impression share over 7, 14, 30 or 90 days, each against the period before.

Campaigns

Change anything, then apply

Campaigns, ad groups, keywords, negative keywords and ads: create, edit, pause or remove. Google checks each change before you apply it.

Keywords

Searches worth paying for

Your keyword pool, sorted by the AI into ad groups of buying searches, then sent to Google Ads in one step.

Suggestions

What to fix first

Checks that paid search specialists run by hand, run by plain code on your live figures, with a fix you can apply.

The Campaigns tab of Google Ads before an account is connected: sign in with the Google account that reaches your Google Ads account, tick the accounts you manage, then come back, everything is read live from Google

Google Ads is a personal connection. Each person signs in on My Connections, in the card Your advertising accounts, with the Google login that already reaches their Google Ads accounts, then ticks the ones they manage. Several Google logins are fine, and a picker in the page header switches the account in use.

Every call goes out with that person’s own access, so Google decides what each of them may see and change. Until an account is connected, Dashboard, Campaigns and Suggestions show the three steps on this screen. Keywords works already: only sending an ad group to Google Ads needs the account.

Screens from the demo workspace, which has no ad account connected. The live Dashboard, Campaigns and Suggestions aren’t shown here.

Where the AI helps

Four jobs the AI takes off the ad manager’s desk.

AI Finding

It adds Google’s monthly searches and click prices to your pool, keeps the people ready to buy, hire or ask for a quote, and builds ad groups of 3 to 20 keywords. Every keyword left out is listed with its reason.

Ad copy per group

Fifteen headlines and four descriptions, written from the group’s keywords and its landing page, cut to Google’s 30- and 90-character limits. Rewrite, add or remove any of them before the ad goes up.

A plan over the suggestions

The AI reads the suggestions and says, in plain words, what to do first and why. It adds no suggestion of its own and changes nothing.

The model that writes

You pick which model writes, among those your organization allows. Each run shows what it cost.

The AI never invents a keyword and changes nothing in your account by itself. Each run shows its price when it comes back. The rates are on the pricing page.

Checked, then applied

Google checks every change before it’s made.

A change made on Campaigns, Keywords or Suggestions first goes to Google as a check that executes nothing. The confirmation shows that check, and only Apply in Google Ads makes the change. Changes sent together go up in one call: if Google refuses one part, none of it is made.

A new campaign starts paused, with its budget, its bidding (manual click bids, maximize clicks, maximize conversions or a target cost per conversion), its markets and its languages. Nothing spends until someone switches it on. Removing is final: Google keeps a removed item in its history, but it can’t be switched on again.

Nothing is kept on our side but a short copy of the last read. What you see is what runs on Google, and a change made in the Google Ads console shows up the next time the page reads the account.

Who may change things follows the role grid: a person whose role only reads Ads sees the same pages without the switches.

Live

What the account is doing, and what to fix first.

The Dashboard says how the account is doing. Suggestions says what to change.

Every figure is read from the account when the page opens and kept ten minutes; Refresh reads again. Periods end yesterday. The page adds the day by day chart, the month’s budget against what the daily budgets allow, the campaigns that moved most, and every campaign with its figures.

Plain rules on your own figures flag what costs money now: conversions that stopped, disapproved ads, bidding that is misconfigured, a good campaign held back by its budget, spend that jumped yesterday. Nothing is changed for you.

Searches that spend without results, words that keep bringing useless clicks, negative keywords that block your own keywords, costly keywords Google rates poorly, ads missing lines, broken landing pages, and more. Each one says what was seen, the money at stake a month, and how sure it is: Safe, Review first, or Test carefully.

The suggestions are rules, not opinions of the AI. Their thresholds follow the account’s own cost per conversion, and measurement comes first: while conversions aren’t tracked, nothing that moves money is proposed.

When the fix is a change Google Ads accepts, one click has Google check it and a confirmation applies it. The account gets a health score out of 100, and the list can be narrowed to what’s urgent, wasted money, growth, quality or structure.

LinkedIn Ads

Your LinkedIn campaigns, live, and the public library.

The Ad Library tab of LinkedIn Ads: the card for connecting LinkedIn, then the keyword, advertiser, country and date filters

Your LinkedIn campaigns connect the same way: your own LinkedIn login, the ad accounts you tick, a picker in the header. The Dashboard reads spend, results (conversions on your site plus leads from LinkedIn forms), cost per result, clicks and impressions against the period before.

On Campaigns, switch campaign groups, campaigns and ads on or off, and change a campaign’s daily budget, bid, name or end date. Each change is confirmed against what LinkedIn holds right now, and changing needs a LinkedIn role of campaign manager or above.

The Ad Library is different: it runs on one shared connection that an administrator authorizes once with a LinkedIn sign-in, and it refreshes itself after that. It searches LinkedIn’s public record by keyword or advertiser, country and dates: who ran each ad and who paid, its run dates, and the impressions and targeting LinkedIn discloses for ads shown in the EU. Ask Intelligence answers questions about your LinkedIn ads from the same live account.

Works with

Not built yet, said first

  • Google Ads campaigns created here are Search campaigns. Other kinds, such as Performance Max, Shopping, Display and YouTube, show with their figures and are managed in Google Ads itself.
  • Conversion tracking isn’t set up from here. The suggestions check it first and propose nothing that moves money while conversions aren’t tracked.
  • A new LinkedIn campaign is created as a draft: its ads are added in LinkedIn Campaign Manager, then it’s switched on here.
  • LinkedIn’s Ad Library gives who ran an ad, when, and its reach, but not its text or picture: each card opens the ad on LinkedIn.
  • Meta Ads (Facebook and Instagram) is in Beta: the menu entry is there, but a Meta ad account can’t be connected yet.
  • There’s no support for Microsoft Advertising.

The catalog lists every agent as built, partial, or not built. Checked against the product on October 4, 2026.

Usage is paid from a prepaid wallet, with no seat fee. The rates are on the pricing page.

Start

Connect your own account, then decide what changes.

Switch on Ads, connect your Google Ads or LinkedIn Ads account on My Connections, and tick the accounts you manage. Nothing changes in them until you apply it.

No subscription. No seat fee. No card needed to open an account.