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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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AI Assistance / Ask Intelligence

Ask your business a question. Get the figure, and its source.

Ask Intelligence is a page of its own, one click from the header. It reads the data you’re allowed to see, for the brands you pick, and answers with the real number. Every conversation is kept, and every answer shows what it read and what it cost.

The Ask Intelligence page mid-answer: which keyword cluster lost ground since the last refresh, a table of four keywords with before and after positions, why it happened, and what to publish next
Every past conversation, one click awayBrands and data, per conversationReal rows, in a table

Demo workspace. Invented brand and figures.

36read-only data tools
11data groups you can include or leave out
8tool rounds per answer, at most
0invented figures
How it answers

Four steps between the question and the figure.

An Ask answer naming the keyword cluster that lost ground, with a table of before and after positions
The Data included panel open, listing eleven data groups with two left out of the conversation
The foot of an answer: the data it was based on, the token count, and the billed price

Its own page

One click from the header, not a pop-up

Ask Intelligence lives at its own address. Open it from the header, ask in your own words, and a follow-up refines the last answer. Come back tomorrow, and your conversations are still there, listed under Previous conversations.

It decides

It picks the tools the question needs

The analyst chooses which of its read-only tools to call, and calls them, up to eight rounds. Then it has to answer with whatever it found.

You choose

The brands and the data are yours to set

Pick none, one or several brands, and tick or untick whole groups of data. The choice can only narrow what the model reads, and it is kept with the conversation.

It answers

The figure, the source, and the price

A short answer first, a table when a table helps. Under it, which data it read, the pages it searched if web search was on, the tokens, and the billed cost.

You choose

Brands and data, picked before you ask.

Every conversation starts wide open and only you narrow it. The scope is enforced in code before a query runs, so the model can’t widen what you picked, and the route refuses a brand you may not see.

What it reads

Eleven groups, each one gated by your own rights.

Each group is offered only when your access rights open that area of the product, and a tool you may not use is never shown to the model.

Brand profile

The brand’s own profile and the guidelines that keep an answer on voice.

Search and visibility

Tracked keywords, Google rankings per market, competitors, search reports, and what the AI assistants say.

Advertising

The keywords picked for search ads, the campaigns and ad groups built here, and their live performance.

Brand Content

Content plans and the full text of blog articles and copy drafts, accepted or still waiting.

Social

The social calendar and the full text of the posts written for it.

Service Desk

The conversations your service desks had with customers.

Tasks and projects

Tasks on the boards and the state of each project.

CRM

The sales pipeline, companies and sales activity, offered only when your role can see them.

Assets Library

Folders, documents, and campaigns, read in full, including anything you point at with @.

Validation

What is waiting on a validator, and what was decided.

Your own

Your feeds, your Playground chats, and your partner leads.

Connected systems

The servers, REST APIs and Google Sheets your organization connected, plus your own Gmail and Sheets, each readable only by the people allowed to.

None of it is new access. It is the access your role already has, offered to the model out in the open instead of buried in a settings page.

Full list in the product help, under Ask Intelligence.

The web

Off by default, and never mixed with your data.

Web search is allowed in every organization by default, and an administrator can turn it off. Inside a conversation it is a separate switch, off at the start. Turn it on, and the model runs its own provider’s search, on the models built for it: Claude, GPT, and the two search-capable Grok models. Other models gray the switch out and say why.

The pages it reads are listed under the answer, kept apart from what it read in your account. A figure about your business never comes from the web. Each search is billed and joins the answer’s price.

> does our guideline already cover this claim?

An Ask answer with web search on: the launch brief read from the library, seven government and industry sites listed separately, and two web searches counted alongside the tokens and price
The difference

Not a chatbot with your logo on it.

A general assistant answers a question about your business the way it answers any question: from memory, confidently, with no source. Ask Intelligence has nothing to remember. It has tools, and each one returns rows from your account, or, only when you switch it on, pages from the web.

So the answer to “what did the Glass Skin cluster lose this month” is the figure in your rankings table. The answer to “which regulation covers this claim” can draw on the web, clearly marked as such. And when neither can answer, you get a sentence saying so, not a plausible number.

> which deals went quiet this month?

A general assistant

  • Answers from memory, with no source.
  • Sounds certain, cites nothing.
  • Will produce a figure whether or not one exists.
  • Has no idea which brand you mean.
  • Cost is somebody else’s subscription line.

Ask Intelligence

  • Reads your data first, the web only when you switch it on.
  • Lists the data and the pages it used.
  • Quotes the real figure or says the data isn’t there.
  • Reads only the brands you picked, enforced in code.
  • Prints its own price under every answer.
The rules

Six rules, written into the analyst.

Counts, rankings, budgets, revenue: it quotes the rows it read. It doesn’t make up a keyword, a deal or a figure.

And names the box to tick in Data included, or the module that would produce it.

One exception: your own Gmail, connected on your Settings page. Ask can write a full email into your Drafts folder. Sending it is a separate switch, off by default, and only you can turn it on.

Ask in French, get French. The rule is written into the analyst.

Eight tool rounds at most, then it has to answer. The billed cost comes back with the answer and is written to the ledger with your name, and the brand when exactly one is picked.

Your organization’s servers, REST APIs and Google Sheets, readable only by administrators and the people granted them. Write tools are stored and never run.

The foot of an Ask answer: one blog article named as accepted but not yet published, its target keyword and funnel stage, the token count, and the billed price

The price line under every answer. The same line lands in the ledger.

Works with

Not built yet, said first

  • Answers arrive whole, not streamed word by word.
  • A conversation is yours alone. There’s no sharing with colleagues yet.
  • You can’t attach a file directly. Put it in the Assets Library and point at it with @.
  • Web search only runs on models built for it. The switch says why on the others.
  • A focused version inside each module page exists in the API, not yet in the interface.

The catalog lists every agent as built, partial, or not built. Checked against the product on October 8, 2026.

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

Start

It answers from whatever data you’ve added.

Switch on one module, and ask the first question the same afternoon. Every answer says what it read, what it searched, and what it cost.

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