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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

Seats are free — you pay for what the AI runs

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Testimonials

Seven rooms, in their own words.

A consultancy, a restaurant group, a dog food brand, a coffee machine maker, a law firm, a beauty label and a box factory. Each runs one module for one job, and each agreed to say what it looks like from inside.

The wall

The room changes with the story.

A consultant’s desk in a shared office: a laptop, a marked-up printout, a coffee mug and a tangle of cables

Sales

Every proposal we ever wrote is in there now: the old decks, the pricing sheets, the scoping notes nobody could find. When a brief comes in I ask for a first draft against the three closest past jobs, and it comes back with the quotation attached, and the sources. What used to take a partner a weekend now takes an afternoon of editing.
Priya S. · PartnerStrategy consultancy
Ask IntelligenceQuotes and proposalsConnected context

A proposal in an afternoon, not a weekend

Crates of produce stacked on the floor of a restaurant kitchen before service, a mop bucket beside them

Business Intelligence

I used to build the supplier order from last week's till reports and a feeling. Now I ask what we sold, by site and by day, against the weather and the school calendar, and it hands me Thursday's order list. The number comes with its source, so when a kitchen argues with it we are at least looking at the same screen.
Diego M. · Operations DirectorRestaurant group
Business IntelligenceDemand planningSupplier orders

Weekly supplier order, drafted from the sales data

A dog food brand’s storeroom: an open bag of kibble, a chewed orange toy, half-packed boxes and a dog bed

Marketing

We had an agency for search, another for content and a freelancer for the ads. Now Search tells us what dog owners are actually asking, GEO tells us what the assistants say when they ask about us, the content comes out in our voice and the campaigns arrive built and priced. Two of us run it from one screen. We let the agency go in the spring and only finance noticed.
Ashley R. · FounderDog food and toys brand
SearchGEOAds

Three outside retainers, brought in house

A barista’s arms at a splashed espresso machine in a busy cafe, receipts clipped above the group heads

Marketing

LinkedIn is where our buyers are, and it used to be whoever had a spare hour. Now the Social calendar fills with drafts, the LinkedIn skill scores them against our voice, and someone approves before anything goes out. On the side we built a few agents that read the competition every morning, the product pages, the price lists, the job ads, and leave a note in the channel before the first sales call.
Yuki T. · Head of MarketingProfessional coffee machines
SocialLinkedIn skillAgents

A competitor note in the channel every morning

A small law office: a coat over the chair, piles of files and binders, sticky notes on the monitor

Sales

Every matter is in the pipeline now, from first call to final invoice, and the dashboard shows who is carrying what. I can see an associate is under water before they say so. Then we wrote our own finance agents on top of the billing exports, and they forecast the cash position a quarter out. The partners' meeting starts from that screen instead of ending at it.
Omar H. · Managing PartnerLaw firm
Pipeline and CRMDashboardAgents

Cash position forecast a quarter out

A beauty brand’s workbench: a phone on a tripod filming half-labelled jars, a scale and shipping boxes

Brand Content

We are a small brand with a very particular look, and the fear was that anything generated would look like everyone else. The brand guidelines went in first, and everything since is scored against them: the product copy, the campaign images, the short videos, the captions for five networks. The engine produces the month; we spend our time saying no to the pieces that are not us, and there are fewer of those each month.
Léa M. · Co-founderIndependent beauty brand
Content engineImage and videoSocial

A month of content on five networks, in the brand's voice

A worker in a hi-vis vest stacking flat corrugated sheets on a pallet, a forklift behind, in a box factory

Business Intelligence

Deliveries arrive in parts, suppliers invoice in their own rhythm, and the bank statement never agreed with the purchase ledger without someone giving up a Friday. Business Intelligence sits on the ERP export and the bank feed and matches them, and it lists what it could not match, with the reason. Finance starts Monday from the unmatched pile, not the whole statement.
Wei L. · CFOPackaging manufacturer
Business IntelligenceSupply chainBank reconciliation

Suppliers and bank, matched before Monday

The standard

How a quote gets on this page.

Named

A person, a role, a kind of company.

No anonymous "Director at a mid-sized firm", and no composite built out of three calls. The first name and the initial are theirs; the company line says what the business is.

Approved

Their words, signed off.

The quote is what they wrote or said, edited for length only, and read back to them before it goes up. Nobody here writes a sentence and asks a customer to agree to it.

Checked

The outcome is theirs.

When a story carries a result, it is the one their own reporting shows. We would rather run a quote with no figure than a figure we cannot stand behind.

It is the same standard as the agent catalog, applied to people instead of features: we would rather publish less than publish something we would have to explain later.

Start

Your room is the next one on the wall.

Pick the job that is costing you the most right now. We will set up the workspace and you will be running inside the week.

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