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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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Seats are free — you pay for what the AI runs

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Capabilities

The AI you work with directly, and the modules it already runs. Take one, or take them all.

See all modules

AI Assistance

Work with the AI directly

Ask Intelligence

Ask a business question in plain words. It reads your own data through read-only tools, inside the brands you pick, and answers with the real figure or says the data is not there. Conversations are kept.

  • Read-only tools on your data
  • Scope enforced in code
  • Never invents a number
Go to Ask Intelligence
Playground

A direct chat with the models your administrator allows. No brand data: the model sees the conversation, your files, your instructions and, when you switch search on, the web.

  • Compare three models side by side
  • Files in, documents out
  • The price under every answer
Go to Playground
Agents

Standing workers you switch on from a catalog: watchers that notice, reports that write themselves, custom agents you compose from your own data. Each on a schedule, a budget and a scope.

  • Six standard agents, plus yours
  • A weekly and a monthly budget
  • Every run on the ledger
Go to Agents
Skills

Written instructions the AI follows wherever they apply: a method, a checklist, a house style. 44 ship with the product; yours override them for the whole organization or for you alone.

  • Written once, applied everywhere
  • Organization or personal
  • Same name overrides, not stacks
Go to Skills

Modules & Features

The functions it runs

Business Intelligence

Five dashboards over what the platform already knows, any dashboard you describe in your own words, a weekly operating review that explains what moved, and an executive report written for the board.

  • Five dashboards, one menu entry each
  • Describe one, keep it
  • Weekly review with causes
Go to Business Intelligence
Project Management

The board where an insight becomes a card, instead of a dead report nobody actions. Projects carry a team and a planned cost, and a task outside a project stays private.

  • Kanban with a timeline
  • One click, insight to task
  • A team and a cost per project
Go to Project Management
Sales

A pipeline with a pinned next step on every deal, and a revenue follow up that turns won deals into billing, payroll and a cash-flow forecast.

  • Pipeline in two currencies
  • Quiet deals surfaced
  • Cash flow projected forward
Go to Sales
Brand Content

37 text formats, an article workspace from brief to branded PDF, 13 image engines and 11 video engines, with the price on the form before you press run.

  • 37 text formats
  • Brief to article to PDF
  • Images and video, priced first
Go to Brand Content
Social

Posts for LinkedIn, X, Facebook, Instagram and TikTok, checked against the real limits of each network, then published from your own accounts at the hour you set.

  • Five networks, one voice
  • Limits enforced, not hoped
  • Sent from your own accounts
Go to Social
Search

Rank tracking per market and language, the keywords competitors own and you do not, and GEO: what ChatGPT, Claude, Gemini and Perplexity say about you.

  • Ranks per market and language
  • The gap against competitors
  • Four assistants polled
Go to Search
Ads

A six-step Google Ads builder that pushes the whole campaign paused, a live mirror of the account, and a watcher that flags what stopped earning.

  • Six steps, one push
  • Everything arrives paused
  • A watcher on every campaign
Go to Ads
Service Desk

An assistant for your customers, on any website with one pasted line. Each desk answers only from what you gave it, says so plainly when it does not know, and runs under a daily budget.

  • On any website, one line
  • Refuses to invent
  • A daily budget per desk
Go to Service Desk
Assets Library

Every text, image and video the product generates lands here on its own, with its prompt and its price. Folders become context the AI writes from.

  • Generated assets auto-saved
  • Folders as writing context
  • Storage billed, shown live
Go to Assets Library
Validation

Send any asset to a colleague for a decision. Versions and comments are never deleted, a task appears on their board, and mail goes both ways.

  • One validator, one decision
  • Versions kept forever
  • A card on the board
Go to Validation

Seats are free — you pay for what the AI runs

Book a demoOpen your account

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 four watchers that report what moved and a voice you teach once.

  • 37 text formats, priced runs
  • Five 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

Billing lines, payroll, overheads, a 12-month P&L, and a cash forecast built from won deals, plus a ledger and caps on every AI run.

  • P&L and cash from the deals
  • 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

Seats are free — you pay for what the AI runs

Book a demoOpen your account

Services

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

All services
Onboarding

A guided session to connect your data and switch on the first function, then a first week planned day by day.

  • One guided session
  • First function live in a week
  • A person on the other end
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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Seats are free — you pay for what the AI runs

Book a demoOpen your account

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

Book a demoOpen your account

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
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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
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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
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Seats are free — you pay for what the AI runs

Book a demoOpen your account

By roleThe job: CEO / DirectorHeld by: you

How a CEO or director uses Intelligence.

You don’t run a module. You want to know what moved this week and why. After that, who is handling it. Here’s what to open and what to ask, whether you have a full management team or you’re covering three jobs alone. What it can’t do is listed further down.

With no management team, the platform can stand in for part of one. Four watcher agents do the noticing a marketing director would do. The weekly review does what an analyst would do on Friday afternoon. You still decide. See what it takes over.

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 five standard dashboards
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
The Commercial dashboard: open deals, pipeline value, weighted pipeline, won in the last 30 days, overdue next steps, the pipeline by stage, won and lost month by month, and billed against collected

Demo workspace. Invented brand and figures.

5standard dashboards
40dashboards of your own
1weekly review, with causes
5caps on what gets spent
Start here

What to open first.

The numbers are computed when you open the page, so nothing on it is out of date. There are also two written reports.

Business Intelligence opens on five standard dashboards: Visibility, Watchers, Content, Commercial, and Delivery. For your job, start with two. Commercial shows open deals and pipeline value, plus what was won in the last 30 days, which next steps are overdue, and what was billed against what was collected. Delivery shows open tasks, overdue tasks, and the ones nobody owns.

See the page →

When none of the five shows what you’re after, build your own. Describe the page you want in a sentence, such as “the pipeline beside the overdue tasks, last 30 days.” The product builds it in tiles, charts, and tables, and keeps it in your menu. Each time you open it, it rebuilds on today’s numbers. You can keep 40 of them.

See the page →

It’s an agent, which means it runs on a schedule. Once a week it reads rankings, ad spend, content, social, the pipeline, and platform spend. Then it writes three sections: what changed, why it likely changed, and what to do next week, with an owner on each line. It can land in your inbox. If you read only one thing a week, read this.

See the page →

The same idea, once a month, written for a board.

See the page →
The Commercial dashboard: open deals, pipeline value, weighted pipeline, won in the last 30 days, overdue next steps, the pipeline by stage, won and lost month by month, and billed against collected
A dashboard built from a sentence: the request 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 its tiles and charts
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
The agent catalog in the demo workspace: six standard agents, each with what it reads, four already in the organization’s agents and two with buttons to add them

Two dashboards out of fiveHover to pause

Examples

Examples from a director’s week.

This is what using them looks like.

Now showingMonday, 10 minutes

Two Market Monitor findings with their suggested actions and the buttons to create a task, draft a response, draft a post, acknowledge, resolve, or dismiss; the second already has a task created
The foot of an answer: the data it was based on, the token count, and the billed price
The decision box under a pending asset: a required comment field, Validate in green and Send back in red
  1. Monday, 10 minutes

    A finding becomes somebody’s task

    You open the weekly review. It says a keyword group fell three places, and that a competitor published a page on the same topic that week.

    You press Create task under the finding. A card appears on the project board, tagged with the brand, for somebody to pick up.

  2. The day before the board meets

    The story, then the detail

    The executive report gives you the story. For the detail you go to Ask Intelligence and type, “Which deals went quiet this month?”

    The answer quotes the figure and says which data it read. If the data isn’t there, it says so instead of inventing a number.

  3. Any afternoon

    A press release needs your yes

    A colleague sends it to you through Validation. You get a mail and a card on your board. The text is locked while you decide.

    You validate it, or you send it back with a comment. Each version is kept, comments included.

Ask

Questions worth typing into Ask Intelligence.

Pick a question, or watch them go by

Which open deals have an overdue next step, and who owns them?

The figureQuoted from your own data, or a plain sentence saying it isn’t there.
What it readThe data behind the answer, listed under it.
What it costThe tokens and the billed price, printed every time.

You pick the brands Ask Intelligence reads: one, several, or none. With none, it reads only the organization’s own data. And it never reads past what your access rights allow.

How Ask Intelligence answers →

Cost

What you pay for, and the five caps.

Next question: what does all this cost? Seats are free, so everyone can have an account. You pay when the AI runs something. A dashboard you build costs about what a long answer on Ask costs, and the price is printed under its title. Five caps keep spending in check:

Balance

Your prepaid balance

You pay when the AI runs something, from money you put in first.

Person

A daily allowance per person

Set with your administrator.

Company

A monthly cap

For the whole organization.

Agent, week

A weekly budget

For each agent.

Agent, month

A monthly budget

For each agent too. It stops when its budget is spent.

The ledger lists every run with who started it, when, on which model, and the exact cost. Spending is attributed to the brand, so you can charge each brand for what it used. The rest is on pricing.

No management team

If you don’t have a management team yet.

Vacancy

Position
CEO / Director
Held by
Nobody yet
Covered by
Intelligence
Reports to
You

With no management team, the platform can stand in for part of one. Agents notice and draft. They don’t publish anything, and each one stops when its budget is spent.

The platform takes

  • The noticing a marketing director would do: ranking moves, what AI assistants say about you, ad campaigns that stopped serving, and competitor moves.
  • What an analyst would do on Friday afternoon: the weekly review.
  • The monthly narrative for the board.

A person keeps

  • Which finding becomes a task.
  • Which text gets your yes.
  • The daily allowances and the monthly cap.
First week

Your first week.

0of 5 done

Tick a step when it’s done. Your ticks stay in this browser.

Limits

What it doesn’t do.

Three limits, all true on the date below.

A dashboard you build is yours alone. You can’t share it with the team or mail it yet.

There are no alert thresholds you set yourself. The review and the report can reach your inbox. A dashboard can’t.

The five standard dashboards chart the platform’s own data. A connected system, such as a sales API or a Google Sheet, answers in Ask Intelligence and in the dashboards you build, not on those five.

Checked against the product on September 20, 2026. The catalog lists every agent as built, partial, or not built. Usage is paid from a prepaid wallet, with no seat fee, and the rates are on the pricing page.

Start

Switch on the weekly review. Read it on Monday.

Open an account, ask your administrator for the weekly operating review, and build one dashboard from a sentence.

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