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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 LayerWhat the layer is, and what runs on itThe ArchitectureOrganizations, brands, modules, rolesThe agent layerWatchers, drafters, Ask IntelligenceSecurityTenancy, roles, what leaves
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 / DirectorWhat moved, why, and who has itMarketingWrite, post, rank, advertiseSalesA next step on every dealProject ManagerA board that fills itselfCustomer ServiceAnswers from your documents onlyFinanceThe pipeline, and what the AI spendsWebFound, well written, answeredHuman ResourcesPostings, policies, onboarding
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
OnboardingSet up with you, team trainedData integrationCRM, ERP, supply chain, financeCustom featuresA job the catalog does not cover yetDedicated hostingYour own instance, your regionPremium SupportResponse times in writing, a named contactTrainingYour team, by role and by functionManaged operationsA named operator on your account
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
A fanned stack of white ruled sheets with the top one edged in deep cyanLarger organizationsRoll out by brand, by team, by functionOne account, one ledger, roles down to the function. Staged so procurement never has to open a file.See the group rollout
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
A fanned stack of white ruled sheets with the top one edged in deep cyanLarger organizationsRoll out by brand, by team, by functionOne account, one ledger, roles down to the function. Staged so procurement never has to open a file.See the group rollout

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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?Punch above your headcountWho is behind BearingBridge?Who built it, and independent of whatHow we run the workAZIMUTH: first a bearing, then proofCase studiesThe work, told the way it ranFAQAsked before every demoTestimonialsCustomers, in their own wordsChangelogWhat shipped, newest firstPartner programAgencies and consultants who run it for clients
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 worksThe model in three sentencesSeatsEveryone can have an accountWhat things costThe price of every runCaps and gatesWhere the spending stopsQuestionsAsked before every demo
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

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Insights

Three collections, one standard: long-form, sourced, dated, and never behind a form.

All insights
AI TrendsWhere the models and the market are movingBest Practices — AI GuideHow to run AI well, written downCEO's OpinionSigned columns, not the industry lineAI model benchmarksHow the models compare on public tests
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

Book a demoOpen your account
Platform overviewOne account, one ledger, one agent layer. The modules are what you switch on.The AI Intelligence LayerWhat the layer is, and what runs on itThe ArchitectureOrganizations, brands, modules, rolesThe agent layerWatchers, drafters, Ask IntelligenceSecurityTenancy, roles, what leaves
See all modulesOne suite in three pillars, and one AI layer running across all of them.

StudioMake the content

Brand ContentThe content and creative teamSocialPosts that respect each networkAssets LibraryEverything the product made, in foldersImage toolsVideo toolsPDF toolsValidationSend it, decide it, keep the trailCampaignsOne launch, every asset, read as one

GrowthFind, reach and close customers

SearchWhere you rank, on Google and in AIAdsYour ad accounts, read liveEmailAnswers, mailings, prospects, sequencesCRMPipeline, clients and contacts

OperationsRun the business and serve customers

DashboardsBusiness intelligence on your own numbersFeedsThe sources you follow, in one readerProject ManagementThe one who turns findings into workService DeskThe support desk

The AI layerAcross all three pillars

Ask IntelligenceThe analyst who reads your dataAgentsWatchers, reports, and who signsAgent CatalogSkillsThe craft, shipped as the defaultPlaygroundTalk to any model, see the price
All rolesThe same product, read by job. For the person who holds the job, and for the company where the platform is the hire.CEO / DirectorWhat moved, why, and who has itMarketingWrite, post, rank, advertiseSalesA next step on every dealProject ManagerA board that fills itselfCustomer ServiceAnswers from your documents onlyFinanceThe pipeline, and what the AI spendsWebFound, well written, answeredHuman ResourcesPostings, policies, onboarding
All servicesThe people around the product, from the first connection to a named operator on your account.OnboardingSet up with you, team trainedData integrationCRM, ERP, supply chain, financeCustom featuresA job the catalog does not cover yetDedicated hostingYour own instance, your regionPremium SupportResponse times in writing, a named contactTrainingYour team, by role and by functionManaged operationsA named operator on your account
Full pricingSeats are free. You pay for what the AI actually runs, and you see the price first.How it worksThe model in three sentencesSeatsEveryone can have an accountWhat things costThe price of every runCaps and gatesWhere the spending stopsQuestionsAsked before every demo
About BearingBridgeWhy this was built, who is behind it, what it has done for the companies running it, and how to run it well.Why we built it?Punch above your headcountWho is behind BearingBridge?Who built it, and independent of whatHow we run the workAZIMUTH: first a bearing, then proofCase studiesThe work, told the way it ranFAQAsked before every demoTestimonialsCustomers, in their own wordsChangelogWhat shipped, newest firstPartner programAgencies and consultants who run it for clients
All insightsThree collections, one standard: long-form, sourced, dated, and never behind a form.AI TrendsWhere the models and the market are movingBest Practices — AI GuideHow to run AI well, written downCEO's OpinionSigned columns, not the industry lineAI model benchmarksHow the models compare on public tests
Open your accountBook a demoLog in

Insights/AI model benchmarks

AI model benchmarks, every figure sourced.

How the models you can pick in BearingBridge, for text, images and video, compare on public, independent tests, which model each of the three choices runs, and where every score comes from.

Scores read on

Compare the modelsWhat the benchmarks measure

57

Models compared

16

Public benchmarks

16

Model makers

0

Estimated figures

Quick

Fast and cheap, for drafts and short posts

Runs on GPT-6 Luna

Balanced

Good quality at a fair cost, for most work

Runs on Claude Sonnet 5.5

Best

The strongest, for important work and hard questions

Runs on Claude Opus 5.5

Every text model picker in the app opens on these three choices, so nobody has to know the models by name. An administrator can point each choice at another model, and the full list stays one click away.

Scores

The text models you can pick in BearingBridge. Click a column to sort by it. Scores read on .

Claude Opus 5.5AnthropicBest$$$$57.615089561.4%
Claude Sonnet 5.5AnthropicBalanced$$$$56147513755%
GPT-6.1 SolOpenAI$$$$51.814845952.9%
Claude Fable 5Anthropic$$$$49.615036655.5%92.6%98.5%
GPT-5.6 SolOpenAI$$$$4714859449.5%94.1%85.1%
Grok 4.7xAI$$$$46.414448643.1%
GLM 5.3Zhipu$$$$44.814796242.3%91.7%
Grok 4.6xAI$$$$44.314555642.9%94.9%
Kimi K3Kimi$$$$43.614884546.9%93.5%
Claude Haiku 5.5Anthropic$$$$43.423744.4%
GPT-5.6 TerraOpenAI$$$$42.1146613242.9%92.5%86.3%
GLM 5.3 FlashZhipu$$$$41.814746739.9%91.2%
GLM 5.3 FlashXZhipu$$$$41.8147439.9%91.2%
Qwen 3.8 MaxQwen$$$$40.214823943%92.7%
Qwen 3.8 FlashQwen$$$$39.85138%92.3%
Mistral Large 4Mistral$$$$38.4143135%
GPT-6 LunaOpenAIQuick$$$$38.1144313538.5%
GPT-5.6 LunaOpenAI$$$$37.3145312239.5%91.1%
GPT-5.2OpenAI$$$$30.414358137.7%90.3%84.8%
DeepSeek V4 ProDeepSeek$$$$30.4145810037.5%88.8%96.2%
Qwen 3.7 PlusQwen$$$$25.214565635.6%90%93%
Grok 4.20 ReasoningxAI$$$$25.2147232.4%88.5%96.5%
DeepSeek V4 FlashDeepSeek$$$$24.214363734.8%89.4%95%
GLM 5V TurboZhipu$$$$23.5143417.1%80.9%98.5%
Grok 4.1 FastxAI$$$$20.4143019.3%85.3%93.3%
GPT-5 MiniOpenAI$$$$16.8139015721.5%82.8%68.4%
Mistral Medium 3.5Mistral$$$$14.2142716713.8%74.8%94.2%
GPT-5 NanoOpenAI$$$$1313381999.5%67.6%36.5%
Mistral SmallMistral$$$$11.31659.9%76.9%41.2%
Mistral Large 3Mistral$$$$9.31414744.2%68%24.6%
Qwen 3.8 Omni FlashQwen$$$$91%
  • The price level, from $ to $$$$, says how dear a model is next to the others. It is a relative level, not a price.
  • Reported by the model’s maker, where no independent figure exists.
  • No public figure. We never estimate one.
  • Each bar is drawn against the best figure in its column. Every figure opens the page it was read on.

What the benchmarks measure

A high score on one test does not make a model better at everything. For marketing copy, look first at the overall index and the arena, where people vote for the answers they prefer.

Intelligence Index

One overall score that blends ten hard tests of reasoning, knowledge, coding and agent work. The quickest way to compare general ability.

Artificial AnalysisVersion 4.3, ten tests, each model at its strongest reasoning setting

LMArena Text

A rating built from millions of blind votes in which people pick the better of two answers. It shows whose answers people prefer.

LMArenaOverall text ranking, with style control

Output speed

How many tokens, roughly words, the model writes per second once it starts answering. Higher feels faster.

Artificial AnalysisMedian speed measured by Artificial Analysis

Humanity's Last Exam

About 2,000 very hard expert questions across many fields. Even the best models score well under 100%.

Artificial AnalysisWithout tools

GPQA Diamond

Graduate-level science questions that are hard to answer even with a web search. A test of expert reasoning.

Artificial AnalysisNo longer run on the newest models, which show a dash

tau2-bench Telecom

A customer support conversation in which the model must use tools and follow the rules correctly.

Artificial AnalysisNo longer run on the newest models, which show a dash

Scores

The image models you can pick in BearingBridge. Click a column to sort by it. Scores read on .

ChatGPT Image 2.5 SunburstOpenAI$$$$1217142511981524125.5 s
ChatGPT Image 2.5 FlareOpenAI$$$$120913981178148152.6 s
ChatGPT Image 2OpenAI$$$$1188138311311462109.6 s
Grok Imagine Image 2.0xAI$$$$1167129411121425
Nano Banana 2Google$$$$11391262112013878.5 s
Muse Image 1.0Meta$$$$112712741126140315.3 s
Nano Banana ProGoogle$$$$111512341110138616.6 s
Seedream 5.0 ProByteDance$$$$109612561124139460.5 s
Seedream 4.5ByteDance$$$$102711491040130211.9 s
Recraft V4.1 FlashRecraft$$$$9511100
FLUX.1 Kontext MaxBlack Forest Labs$$$$92910749191181
FLUX.1 Kontext ProBlack Forest Labs$$$$92010599111176
FLUX Pro 1.1Black Forest Labs$$$$8751016
FLUX Pro 1.1 UltraBlack Forest Labs$$$$856
  • The price level, from $ to $$$$, says how dear one image is next to the other image models. It is a relative level, not a price.
  • Reported by the model’s maker, where no independent figure exists.
  • No public figure. We never estimate one.
  • Each bar is drawn against the best figure in its column. Every figure opens the page it was read on.

What the benchmarks measure

A high score on one test does not make a model better at everything. Read the scores side by side before you choose.

AA Text to Image

How often people prefer this model's pictures over other models' in blind side by side votes on the same text prompt.

Artificial AnalysisOverall board, all categories

Arena Text to Image

Score from public blind votes comparing two models' pictures for the same prompt.

LMArenaOverall board

AA Image Editing

How often people prefer this model's edits of a supplied picture in blind side by side votes.

Artificial AnalysisOverall board, all categories

Arena Image Edit

Score from public blind votes comparing two models' edits of the same picture.

LMArenaOverall board

Generation time

Typical number of seconds the model takes to deliver one picture.

Artificial AnalysisMedian on the maker's own API, moves from day to day

Scores

The video models you can pick in BearingBridge. Click a column to sort by it. Scores read on .

Wan 3.0Alibaba$$$$11341476117313621480
MiniMax H3MiniMax$$$$11211460115813561495
Seedance 2.5ByteDance$$$$1105147411591477
Seedance 2.0ByteDance$$$$10841479113813391475
Grok Imagine 1.5xAI$$$$1036105913311456
Kling 3.0Kling$$$$10001000
Grok Imagine Video 1.5 LitexAI$$$$980998
Veo 3.1 FastGoogle$$$$960136296412591385
Gemini Omni FlashGoogle151313681465
Kling 2.5 TurboKling$$$$1220
Kling 2.6Kling$$$$1216
Seedance 1.0 Pro FastByteDance$$$$
  • The price level, from $ to $$$$, says how dear one clip is next to the other video models. It is a relative level, not a price.
  • Reported by the model’s maker, where no independent figure exists.
  • No public figure. We never estimate one.
  • Each bar is drawn against the best figure in its column. Every figure opens the page it was read on.

What the benchmarks measure

A high score on one test does not make a model better at everything. Read the scores side by side before you choose.

AA Text to Video

How often people prefer this model's silent clips over other models' in blind side by side votes on the same text prompt.

Artificial AnalysisWithout audio

Arena Text to Video

Score from public blind votes comparing two models' clips for the same text prompt.

LMArenaOverall board

AA Text to Video, with audio

How often people prefer this model's clips with sound over other models' in blind side by side votes on the same text prompt.

Artificial AnalysisWith audio

AA Image to Video

How often people prefer this model's silent animation of a supplied picture in blind side by side votes.

Artificial AnalysisWithout audio

Arena Image to Video

Score from public blind votes comparing two models' animation of the same picture.

LMArenaOverall board

Start

The right model is the one you can switch.

Open an account and run Quick, Balanced or Best on your own work, or book a demo and see the pickers live.

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