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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 / Agents

Agents that work on a schedule, read only your data, and answer to a person.

An agent is a standing job. A watcher notices what moved, a report agent writes the weekly review, and a custom agent reads whatever you point it at, from your modules to your documents and connected systems. Each one runs on a schedule and under a budget, and every run shows its cost.

The agent catalog in the demo workspace: eleven standard agents, each with what it does and what it reads, and the same two buttons on every card, View details and Add to my agents
Eleven standard agentsWhat each one readsRead it, then add it to yours

Demo workspace. Invented brand and figures.

11standard agents
11app data blocks, plus files and systems
2budgets per agent, month and week
42more agents built to order
The eleven

Seven that notice, four that do the work.

Search rankings watcher

about once a day

It checks the Google ranks of your tracked keywords and flags entries and exits on page one, drops of three places or more, and keywords gained or lost. One-place wobbles are ignored.

AI visibility watcher

about every two days

It compares what AI assistants say about you with the last pass: mentions, answers, share of voice, and the citations you gained or lost.

Ads campaigns watcher

about once a day

It watches your live Google Ads campaigns for ones that stopped serving, status and budget changes, and spend jumps, and it quotes the real numbers.

Market monitor

about every two days

It reads your search-results reports and ranking history and reports competitor moves on your keywords, written for a marketing director.

Social publishing watcher

about once a day

It reads what went out on every social network in the last 30 days and what is scheduled for the next 14, network by network, and flags a network gone quiet, an empty schedule, every failed post, and drafts stuck waiting for validation.

LinkedIn publishing watcher

about once a day

It reads what went out on LinkedIn in the last 30 days and what is scheduled for the next 14, and flags a quiet week, an empty schedule, every failed post, and drafts stuck waiting for validation, with the real dates.

LinkedIn Ads watcher

about once a day, yours only

It reads your own LinkedIn ad account live, compares the last 7 days with the 7 before, and flags spend jumps, moves in cost per click or per result, and campaigns that stopped delivering.

Web editor

about once a day, a web page

It takes the next brief in each website’s queue, then researches, drafts, edits, translates, and illustrates the page, and publishes it once the site’s own checks pass.

Verification codes

about once a day, yours only

It keeps the code emails services send at sign-up, sign-in checks, and password resets out of your inboxes. In Outlook it files the expired ones into a folder, in Gmail it lists them, and it never shows a code or opens a link.

Weekly operating review

every week, a document

It reads rankings, ads, content, social, pipeline, and spend, then writes what changed, why it likely changed, and what to do next week.

Executive report

every month, a document

Once a month it writes the narrative for the board over rankings, ads, content, AI visibility, and social, with numbers from your own data and a short list of next steps.

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

A finding is a short paragraph with a suggested next step, and the buttons under it act on that step. Create a task on the board, draft the response, or draft a LinkedIn post that lands in Social. When it’s handled, resolve it. When it’s noise, dismiss it.

The agent sets the severity and you decide what happens. Once a task or a post exists, the finding says so, and the next person to open it won’t make a second one.

A run

What happens when an agent wakes.

Schedule

Due, or on demand

The scheduler wakes at six in the morning, universal time, and queues every agent whose interval has passed. You can also start one by hand.

Gather

It reads its sources

Only what its scope allows. One brand per run, several brands in one run, or only the organization’s own data.

Skip

Nothing moved, no AI call

If your rankings didn’t move overnight, the search watcher says so and stops. No model is called, and the run is marked unchanged.

Write

Findings, or a document

Watchers post findings with a severity and a suggested action. Report agents write a document you open from their card.

Tell

Mail and ledger

The people you chose get a summary or the full result. The cost of the run goes on the ledger.

The Agents Command Room: the previous runs of two personal agents, a launch readiness watch and a ranking and pipeline watch, over two brands and the organization’s own data, one unfolded with the model, the tokens, the cost, and its two findings

On the record

The Agents Command Room shows what is running now, the agents switched on with their next run, and the 50 most recent runs, scheduled or started by hand. An administrator sees every agent of the organization and every member’s personal agents; everyone else sees their own. Each run says what it read and what came out: findings, a report, nothing changed, or no data to read. Open one to read the findings, the model it used, its tokens, and its cost.

When nothing moved, the AI call is skipped. A few sources still cost a little on every run: the AI visibility watcher checks citations each time, and a connected system is read before anything is compared. The rates are on the pricing page.

Yours

Build your own from modules, files, and systems.

A custom agent is a brief plus the data it may read. Pick from the app’s modules, from folders, documents, and campaigns in the Assets Library, and from the systems your organization connected. You’re offered only what you can see yourself, and an agent never reads across organizations.

Then choose the brands. One run per brand, one run over several brands compared side by side, or only the organization’s own data. A result about several brands is shown only to people who can see each of them.

In the demo workspace, a launch readiness agent reads the launch briefs folder, the content pipeline, the open deals, and a retail sales API. Every three days it flags what is late before a launch date.

Since September: library folders, connected systems, and several brands in one run.

In the app

Search rankingsAI visibilityGoogle Ads campaignsCompetitor search reportsContent pipelineSocial activityLinkedIn publishingLinkedIn ad accountSales pipelineCRM contactsPlatform spend

From the Assets Library

A folder and its subfoldersA single documentA campaign, with its brief

Connected systems

MCP serversREST APIsZohoA Google account
Your mailbox

Drafts in your own mailbox, sent only if you say so.

A lot of follow-up work ends in an email. Connect your own Gmail or Outlook and you can give it to an agent you own. The agent reads the mailbox, and where its brief asks for it, it writes a full email and leaves it in your Drafts folder.

Only you can hand your mailbox to an agent. Colleagues and administrators never see it in their lists, and because the choice carries your account, no agent can be pointed at someone else’s mail.

What the agent may do

  • Read the mailbox before it writes, and write once per subject.
  • Leave a draft that waits until you read it and press Send.
  • Send on its own only if you switched sending on, which starts off.

What you always see

Your Settings page lists every draft and every send made in your name, with the subject, the recipients, the time, and the agent that wrote it. An agent that can’t send never claims a mail went out.

Controls

Seven dials on every agent.

Everything the agent works on, on a tab of its own, changed at any time: its brands, its connections, read only or also written to, each module and feature switched off, read, or read and changed, the data it reads, and its AI model and web search. You can give it only what you can use yourself, and a run never reads or changes anything outside it.

Each setting can be changed for the organization, one brand, or one person. The closest level wins, field by field, so you can rewrite the brief for yourself and keep the organization’s model.

Two per agent, in dollars: one for the calendar month and one for any seven days. Whichever is reached first stops the agent. Both sit under your daily allowance and the organization’s monthly cap, and the tightest limit wins. Runs are paid from the prepaid wallet like any AI action, and the form shows what the agent has spent so far.

Hours between runs. Each standard agent ships with a sensible default, and you can change it for the organization, one brand, or yourself.

Each brand in a run of its own, or one run over the brands you tick. With none ticked, the agent reads only the organization’s own data, such as the sales pipeline or a connected system.

Rewrite what the agent looks for and pick the model it runs on. Watchers start on Claude Haiku 4.5, and the two report agents use your organization’s reporting model. Leave a field empty and the standard version applies.

The administrators, a list of people you name, or nobody. The mail carries a summary with a link, or the full findings and report. Runs you start yourself show their result on screen.

Before an agent goes live, test it on one brand’s current data and read what it would report. Nothing reaches the feed. Nothing runs until someone adds it, either: the organization’s list and your own start empty, and the whole catalog is open to every member, with no request to an administrator first.

An agent’s monthly and weekly budgets with what it has spent, the people who receive each scheduled run, the full result in the mail, and the test run

Standard, or built to order

Eleven standard agents ship with the product. Another 42, from IT support to service desk work, are built for one organization at a time. The catalog lists both, with the status of every agent we name.

Works with

Not built yet, said first

  • Findings show in context on two module pages, Ads and Market Monitor. Elsewhere, read them in the Agents Command Room or on the Watchers dashboard. Ask Intelligence doesn’t read them.
  • No alert thresholds you set yourself. The agent grades severity by its brief.
  • The LinkedIn Ads watcher reads one person’s own ad account, so it runs only as a personal agent.
  • Systems your organization connected are read-only. An agent writes only in what you hand it yourself, such as your own mailbox, where it leaves drafts and sends only if you allowed sending.
  • A library source reads up to 20 documents per run and leaves pictures and clips aside.
  • The other 42 agents in the catalog are built to order. They aren’t product features.

The catalog lists every agent as built, partial, or not built. Checked against the product on October 16, 2026.

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

Start

Switch one on. Read what it found on Monday.

Start with one agent and a small budget. After its first scheduled run, you’ll see what it found and what it cost, side by side.

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