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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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FAQ

Asked before every demo.

Fifty questions about the offer, answered in plain words so the demo can be about your business. Sorted by topic. Pick one below, or search.

Checked against the product on October 4, 2026. When an answer stops being true, the page changes.

Showing 50 of 50
The offer

What you are actually buying.

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

An AI workforce for a company that has the jobs but not the people: every module on one account, one ledger and one agent layer, with your people keeping the decisions and the sign-off.

The platform →

A twelve-person company with the same roles as a large competitor and three of the people. Also a department inside a larger organization that wants to run one brand this quarter without opening a procurement file.

For larger organizations →

No. A chat box bolted onto software was the previous generation. Here the intelligence is the product: agents with a job, a schedule, a budget and a data scope, working on your own data, every run on a ledger.

If you want a direct chat with the models, the Playground is there for that.

The intelligence layer →

No. Take one. The others are there when you want them and cost nothing until you use them. There is no bundle to unlock and no tier to climb.

All the modules →

A brand is whatever you treat as a separate business: a product line, a market, a subsidiary. One account carries as many as you run, each with a context of its own enforced in code, and there is no per-brand fee.

The architecture →

The one closest to the job that hurts most. Most companies start with Marketing or Business Intelligence. If you are not sure, onboarding starts with that question.

Onboarding →

No, and we say so. The catalog lists every agent as built, partial, or not built, and each module page carries a roadmap band for what is not for sale yet. We would rather lose a deal to honesty than win one and explain later.

Open the catalog →

BearingBridge, run by people who spent two decades on the agency side. Named people, independent of any model provider, and no resale of your data.

About →
Pricing

Money in, work out.

No subscription, no seat fee, no minimum. A wallet in dollars pays for tokens, storage and data.

You put money in a wallet, in dollars. Everything you use draws on it: tokens for the models, storage for what you keep, and paid data where a source charges for it. Image and video show their price before you run them; everything else shows its cost the moment it ends. When the wallet runs low, you add more.

No subscription, no seat fee, no minimum spend, no minimum term.

Pricing →

No. The wallet holds dollars, and it pays for what you use: tokens for the models, storage for what you keep, and paid data such as search results and rankings. Nothing of ours sits in between, so there is no pack to buy and no exchange rate to learn.

Nothing, at every headcount. Put the whole team in. A person reading reports costs you nothing; cost starts when somebody asks an agent to do something.

What a seat costs →

There is none, on purpose. Model prices move, sometimes overnight, and a table on a marketing page is wrong within a month. The price lives where the decision is made: image and video show their price before you run them; everything else shows its cost the moment it ends.

For the figures on your own workload, ask on a demo call.

Where the price appears →

No. You paid it in, so it is yours until you spend it. A month or three years.

The machine’s own mistakes. Retries, runs that fail halfway, and tools an agent reached for on its own initiative are our cost. A watcher that finds nothing changed does not charge you either.

There is nothing to trial because there is nothing to subscribe to. The account is free, the seats are free, and the balance stays at zero until you put something in it. Fund a small amount, run one module on one brand, and judge the output against your own numbers.

Open your account →

No card is needed to open an account. When you are ready to run work, you fund the wallet by card, Alipay or WeChat Pay, through Stripe. Your balance only increases from a signed payment event we verify, recorded once, so a retry cannot charge you twice. Nothing renews on its own unless you switch on auto top-up.

Each of the seven services is a fixed price, quoted before it starts, and none of it draws on your wallet. Onboarding and custom builds are paid once; managed operations and Premium Support are monthly with no minimum term.

Services →
Caps and control

Where the spending stops.

Four caps and a balance, every one a number you set, and a ledger of every run.

Four caps and a balance. A daily allowance per person on the shared wallet, a monthly cap for the organization, and a weekly and a monthly budget per agent. Every one is a number you set, and nothing spends past them, including the agents.

How you cap it →

The work stops and says so. A person at their daily cap waits for tomorrow or asks an admin to raise it. An agent at its weekly or monthly budget stops until the period turns or the budget is raised. Nothing is billed past the line.

New AI work pauses until you top up. Nothing else changes: every report, ranking, article, deal and record stays there to read and export, and everyone can still log in. We do not hold your own data hostage over a lapsed balance.

Only if you switch auto top-up on. It comes with three brakes: a cooldown between top-ups, a daily limit, and a latch that stops after an error, so a runaway job cannot sit there charging your card.

Yes. Every run lands in the ledger with who ran it, on which brand, what it did, when, which model, tokens in and out, and the exact cost. Admins see the whole organization, which is how spend gets charged back to the brand that used it.

The ledger →

Image and video show their price before you run them, and nothing is charged until you press the button. Everything else shows its cost the moment it ends. Past that, the caps are there for the accident you have not thought of yet.

Agents and approval

Who does the work, and who signs.

Watchers notice, drafters produce, and nothing ships until a person with the role signs.

A worker defined inside the product with four controls that cannot be left blank: a job, a schedule, a budget in dollars, and a scope of data it may read. It runs overnight, weekly, on a trigger or on demand.

Three kinds exist today: watchers that look for change, drafters that produce work, and Ask Intelligence, the analyst on call.

The agent layer →

No. Nothing an agent produces is published, launched or spent without a person with the right role signing it. Drafts wait. A new Google Ads campaign starts paused, and a new LinkedIn campaign as a draft. An article is refused until a person validates the outline.

Nothing. A watcher compares snapshots first and only calls a model when something moved, so a quiet week costs close to nothing.

It is a role, not a default, and an admin can adjust it for one person. Some roles can define agents and set their schedule, scope and budget. Some can run agents that others built. Some can only read what agents produce.

No. Scope is enforced in code, not by a prompt. An agent built for Sales does not read Marketing’s drafts, and a draft for one brand cannot borrow the voice of another.

It is built not to. Ask Intelligence reads your data through 36 read-only tools, filtered on the brands you pick for the conversation, quotes the real figure and names its source, or says the data is not there. When it explains why a number moved, the causes are computed in code from your own data before the model sees them.

Ask Intelligence →

Yes. A connector, a step in your trade, a report for the board or a watcher for your own source is a custom build: scoped, quoted before it starts, and running under the same caps, ledger and approval gate as everything else.

Custom builds →
Models

Which intelligence, and who chooses.

Several providers behind one gateway, offered by your admin and picked by you, and your prompts train nothing.

33 text models from eight providers, 14 image engines and 12 video engines, all behind one gateway. Your admin sets, feature by feature, the models on offer and the default, and whoever runs the feature picks one. If we stop supporting a model, the feature falls back to its default.

The providers are named on the security page, where an evaluator needs to know where a prompt can physically go.

The gateway →

Yes, in the Playground. It holds every model your administrator allows, sends one message to up to three of them side by side, takes files in and gives documents out, and prints the price under every answer. It sees no brand data unless you paste it in, and reads the web only when you switch search on.

Playground →

No. Calls go to the providers on their API terms, which exclude training on API traffic. We keep the ledger line, not the transcript.

Yes. Markets and languages are set per brand, every keyword and ranking carries a language, and Ask Intelligence answers in the language of the question. The interface itself reads in English, French or Chinese, and each person sets their own time zone and date format. Training sessions run in English or French.

Data and security

Where your data goes, and where it stays.

Tenant walls enforced in code, one door out, and the open items stated plainly.

Model calls leave through one gateway, to the providers your admin allowed, and nothing else leaves. The database is reached only from the server with a server-only key, and organization and brand scope is enforced in the application code on every query.

Security and data handling →

No. Each organization is its own tenant. Agents read only the organization they belong to, and there is no shared pool.

Not yet. The audit starts when customers need the report, and the security page changes that line the day it lands. The same page lists the other open items plainly: no single sign-on today. Two-step sign-in, with a code sent by email, is built. If your policy requires single sign-on, say so before you buy, not after.

Open items →

The shared platform lives in a single region, named in the contract on request. If a residency rule is part of your decision, dedicated hosting gives you an EU or US region with backups that stay in it, provisioned in about two weeks, with a written uptime commitment.

Dedicated hosting →

Yes, at any balance: reports, rankings, articles, deals and records are readable and exportable. There is no subscription to cancel, so leaving is stopping. A dedicated instance comes with a full export written into the contract.

Visitors are identified by a salted hash of their IP address, not by name. Each desk answers only from the knowledge you curated, says so when it cannot, logs every exchange for you to read, and runs under a daily cost cap so a traffic spike is not a billing event.

Service Desk →

Search positions and competitor pages for the keywords, markets and languages you track. What ChatGPT, Claude, Gemini and Perplexity say about you. Ad figures read live from the Google Ads and LinkedIn Ads accounts each person connects. Everything else in the context is your own material, and only what you chose to put there.

What goes in →
Integrations

What it connects to today.

What is built, what is a custom build, and what is on the roadmap, without blurring the three.

No. Rankings are measured by the product itself for the keywords you track. A Search Console and GA4 connection is on the Marketing roadmap, and the catalog says so.

Marketing →

Not into your CMS. An approved article leaves the article workspace for you to publish, and a connector to your CMS is a custom build, quoted before it starts. Social posts are different: they go out on LinkedIn, X, Facebook, Instagram and TikTok from your own accounts, at the hour you set. YouTube videos are prepared in the app, and you upload them yourself in YouTube Studio.

Custom builds →

Yes. An admin can connect Zoho, any MCP server, a read-only REST API or Google Sheets from the product, and choose who may read each one. For the rest, the data integration service connects ERP, CRM, PLM, PIM, MES, HR, finance, ad platforms and spreadsheets, with one written definition per metric and lineage on every figure, so Ask Intelligence can name the table and the row. Sales also ships with its own pipeline if you would rather start there.

Data integration →

Yes, that is the point of one layer. Marketing knows what Sales is closing. A watcher’s finding becomes a card on the Project Management board in one click. The weekly operating review reads every module. Nothing is re-explained.

The intelligence layer →
Getting started

From request to running, in a week.

A person answers within a business day. The product runs without any service, and seven exist if you want one.

A week. Open the account yourself in a few minutes, or send a request and a person answers by name within one business day. Then at least four hours of live sessions set up your brands, agents and caps with you and train your team, the product reads your approved content and your competitors’ pages, and drafts start arriving. Five days later you are running it yourself.

The product runs without any service. Most companies buy two of the seven and never need the rest.

Onboarding →

A conversation about your business, not a slide deck. Say which module you care about and we run it on your case. If you want the figures for your own workload, that is where you get them.

Book a demo →

Onboarding includes three months of free support: ask us anything. After that, support continues under your plan, or under Premium Support: monthly, fixed by the functions running, no minimum term, and it does not draw on the wallet.

Premium Support →

Managed operations. A named operator runs the modules with you until your team takes them over. Monthly, fixed by how many functions are running, and you can stop with a month’s notice.

Managed operations →

Yes. The partner program pays a commission on the companies you introduce that become customers. We handle the demo, the onboarding, the support and the billing. Partners also deliver the services for their own clients.

Partner program →

One question is missing on purpose. Whether money can be taken back out of the wallet is not decided yet, and a guessed answer here is the one thing this page must not carry. Ask on the demo and you will get the current answer.

Start

If yours is not here, the demo is a conversation.

Open an account and put the answers to the test on one brand, or book the demo and bring the question this page did not answer.

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