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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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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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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 / Business Intelligence

The dashboards you have, and the ones you describe.

Standard dashboards read the data the platform collects, and recompute it each time you open one. Describe another in plain words and it is built from the same data, kept in your menu, redrawn when you open it. A weekly operating review explains what moved and why. A monthly report goes to the board.

The Dashboards page in the demo workspace: a request written in plain words, a live sketch of the blocks it will draw, and the Business Intelligence menu on the left with Dashboards first
Dashboards opens firstThe brands and data it readsThe blocks it will draw

Demo workspace. Invented brand and figures.

4standard dashboards in the menu
40dashboards of your own
32languages one can be written in
1weekly review, with causes
Standard dashboards

Four pages that are already there.

Every number is computed from the platform’s own tables when you open the page. Each one shows only what your capabilities and your role allow, cut into days, weeks and months in your own time zone, so the last 30 days means the same stretch in Singapore as in Paris. A dashboard whose module is switched off is not in the menu at all.

Visibility, Content, Commercial and Delivery sit in your menu from the start. Watchers, the fifth, waits on the Dashboards page until you put it back, and any standard dashboard can leave your menu the same way. Those answer the questions every team asks. The next one, the question that crosses two modules and belongs to your week, you write yourself.

Build your own

You write one sentence. It comes back as a page.

The page nobody had time to build for you: the pipeline beside the overdue tasks, the keywords set against the articles that should be ranking for them. You write one sentence. Name the period, and what it should be measured against, and the page comes back sharper. Beside the box, a sketch lights up the blocks your words seem to call for: a hint, not a promise.

Describe

In your own words

Say what the page should show, and over which period. Pick none, one or several brands, and untick anything it should leave out.

Build

One run over your data

The model reads what you can read, works out the figures, and answers with tiles, charts and tables. The build is billed like a question, and the price sits on the page.

Keep

A page of its own

It lands in your menu with an address of its own, and opening it builds it again on today’s numbers, unless you built it minutes ago.

Change

One more sentence

Add a chart, move the period, drop a tile. The sentence is kept with the dashboard, so every build after it comes back in that shape.

A dashboard built from a sentence: the request and the change asked for since printed under the title with the brands, the data, the model and what the last build cost, a box to update it in plain words, then the open deals, the total open amount, the pipeline by stage and the five largest companies

The dashboard. The request stays on the page, next to what the last build cost and the box that changes it.

The gallery of dashboards: a card to start a new one, two cards for the dashboards this person built showing their first figures and the shape of their first chart, then the four standard dashboards in this person’s menu

The gallery. Yours and the standard ones side by side, each card wearing the numbers it holds.

A build is an Ask Intelligence run told to answer in tiles and charts instead of paragraphs, so it obeys the same rules: the brands you may see, the modules your role opens, the systems your organization has connected. When the figures for a tile are not there, it leaves the tile out and says so in the notes at the foot, rather than drawing a number nobody can trace.

You can keep 40 of your own. Each one can be written in any of 32 languages, whatever language the data is in, and a role can be allowed to open dashboards without being allowed to build them. A build reads your data once and writes one layout, so it costs about what a long answer on Ask costs, at the rates on the pricing page, printed under the title every time.

The weekly review

What moved, why it likely moved, what to do next.

Reads

Six sources, one pass

Rankings, ads spend, content, social, pipeline, and platform spend for the week, for one brand or several in the same run.

Computes

Causality, in code

The hints about what moved together are computed first, and handed to the model as labeled hypotheses.

Writes

Three sections

What changed. Why it likely changed, with confidence wording. What to do next week, three to five actions, in order.

Lands

A document, findings, a mail

The review is read from the agent’s card, its top signals become findings, and it can arrive by mail after a scheduled run.

A dashboard can tell you a keyword cluster fell three places. The review is the one that notices a competitor shipped a dedicated page the same week, and flags it as a lead worth checking.

The model does not invent correlations. The hints about what moved together are computed in code first, then handed over as hypotheses to write up with confidence wording. Without that step, a weekly review is a horoscope.

The executive report works the same way, once a month, for the board. Both are agents with a schedule, a budget and a model you choose. Either can read one brand or several in the same run.

A weekly operating review on the agent’s card: what changed in search, ads, content and pipeline, why it likely changed with the hypothesis named as one, and three things to do next week, each with an owner
Ask it

When the chart does not answer, ask the rows.

The Data included panel on the Ask Intelligence page: app data grouped by module, the Assets Library and a connected system, each with its own checkbox

Ask Intelligence has its own page, one click from the header. It reads the rows behind Visibility, Content, Commercial, Delivery and the sources you follow, for none, one or several brands, and quotes the figure with where it came from and what the answer cost.

A connected system, such as a retail sales API, rides along too, and so does your own Gmail or Google Sheets. Each conversation is kept where you left it, and you can narrow what it reads before you ask.

> which glass skin keywords lost ground since the last check?

How Ask Intelligence works →

Plain words

What it is, and what it is not.

It is not

  • A warehouse you pipe every system into on day one.
  • A canvas with 200 widgets and a drag handle. You write the sentence, and the model decides the layout.
  • A dashboard that goes stale between refreshes.
  • A shared workspace. What you build stays yours.

It is

  • Five live views over what the platform already produces: rankings, findings, content, pipeline, and delivery, each in your own time zone.
  • A builder that answers in tiles, charts and tables, over the data your account may read.
  • A weekly review and a monthly report written from those rows, with the reasoning shown.
  • A question box that quotes the figure and where it came from.
Works with

Not built yet, said first

  • A dashboard you build belongs to you. There is no shared gallery, no copy for the team, and no way to mail one.
  • The standard dashboards chart the platform’s own tables. A system you connect answers in Ask and in the dashboards you build, not on the standard ones.
  • No alert thresholds you set yourself. The review and the report can reach your inbox; a dashboard cannot.
  • A dashboard you build shows its last build, not a live stream. It redraws when you open it, or when you press Refresh.

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

Nothing to build before the first number.

Switch on a module and its dashboard is in the menu. Write a sentence and the page you wanted sits beside it. The weekly review comes from the catalog, and with no run behind it yet, the first one lands the next morning.

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