No oversight
Admin consoles show seat counts and message volume. Not what anyone is working on today.
Borg
An AI team that knows your company.
An AI pool for your team that cuts your AI costs by 50% or more and makes you sovereign over your own data.
Command your company from anywhere.
Take the AI Company AssessmentCommand your company from anywhere.
Run every model across your whole team. See the work, the cost, and who is moving the needle.
Your team runs on AI. You can't see any of it.
They sell you seats. Nobody sells you transparency. Every per-seat plan hands your people a chat window and hands you an invoice. Which models they're in, what they're building, what it costs, whether any of it moves the number you run the company on: invisible to the one person accountable for the outcome.
No line to the number
AI work isn't tied to a scorecard, a rock, or a north star. Activity goes up. You can't tell if the number follows.
No permissions, no budgets
Everyone gets every model with no limit, and there's no switch for the one you don't want in the building.
Shadow installs
Someone is installing an AI tool off GitHub right now. Nobody vetted it. If it leaks credentials, you find out last.
Finally. Your team, AI-enabled the right way.
Every person on the right model. Every dollar governed. Every hour tied to a number you run the company on. Lower cost than the seats you pay for today, and more output from the people you already have.
Claude
Gemini
ChatGPT
Grok
Borgone governed layer
Apps in the hub. The ones a team stops paying SaaS for.
Each name is the app Borg runs. The line under it is the SaaS it replaces, with the savings figure already in the hub data.
Estimated public list prices for a ~20-seat team (USD/year). Not a quote, invoice, or guarantee. Availability and real spend vary.
From operator to commander.
An operator runs the plays and finds out in the meeting. A commander sees the whole field live and calls the next one. This is your dashboard: every person, the work in flight, what it runs on, what it costs, and whether it moves the number you run the company on.
Command view, Company, 32 people, on Borg
Illustrative
Live, Tuesday 13:06
$1.84M
+12% this week. 84% to target. 29 of 32 people mapped to it.
4 open
Unmapped
Anna T.: 26 hours a week of AI work with no metric. Map it to a number or stop it. Beth owns the call.
Routing
Priya S. drafts proposals on a frontier model. Route drafts to a mid-tier model. Same output, $212 a month back.
Renewals
11 renewals due in 90 days, 4 unreviewed. Jonah owns the review by Friday.
Sales
4 deals stalled with no next step. Connor runs the stalled-deal playbook today.
91
outcomes per token
| Person | Apps and models | Working on | Eff | Cost today |
|---|---|---|---|---|
| BBeth, Marketing | Claude 44%, HubSpot 22% | Q4 pipeline plan, Qualified pipeline | 96 | $3.40 |
| CConnor, Sales | GPT 38%, ClickUp 24% | Deal-risk reads, Closed-won | 92 | $0.62 |
| GNGina, Client Success | Claude 51%, HubSpot 29% | Health-score review, NRR | 89 | $0.84 |
| MCMaya, Finance | GPT 46%, Sheets 31% | Forecast variance, Cash collected | 90 | $0.41 |
| LGLee, Customer Service | Gemini 40%, Zendesk 35% | Escalation rules v3, CSAT | 83 | $0.28 |
| ATAnna, Marketing | Claude Opus 63%, Unverified 21% | Personal research. No metric | 41 | $4.80 |
Illustrative. Yellow is unmapped. Red is a frontier model on routine work. Not Search Atlas metrics.
Tuesday, 9:41, 63 unread
Illustrative
You are the router
BethWorking on the pipeline plan, will update EOD.
ConnorCan we sync on outbound? 15 min?
Priya S.Proposals going out today.
FinanceWhere do we stand on cash this month?
?
Ask Sales. Wait for the deck.
?
Ask Finance. Eight invoices, no owner.
?
Scatter across chats. No live roster.
Illustrative operator inbox. The commander view is the product surface.
Every division, clear KPIs
Marketing, Sales, Client Success, Finance, Customer Service. Each has a metric, a target, and a live read. The status meeting turns into a decision meeting.
Who is on what, focused on what metric
Tasks in flight, the apps and models they run on, and the KPI they feed. Unmapped work shows in yellow before it becomes a quarter you can't explain.
Decisions surface. You make them.
Frontier models on routine work, at-risk renewals, unmapped hours. The workforce raises them, and a commander decides in a minute instead of discovering them in a month.
What gets installed.
Every frontier model behind one key, with permissions, limits, budgets, and a router that picks the right model for each step. We put it inside your company, wired to your numbers.
The right model for every step. Chosen for you.
Everyday work runs on fast, inexpensive models. The frontier only when it earns it. Nobody picks a model. Nobody overpays.
Pick a task on the right. Same result, a fraction of the frontier price.
$4 / $20
Claude Opus 5.5, per 1M tokens in / out
$0.10 / $0.50
GPT-6 Luna, per 1M tokens in / out
Sorting 40 support tickets costs 40× less when it is routed to the right model. Same result, and the frontier stays available for the work that needs it.
List prices per 1M tokens, as published in the Borg catalog on getborg.com. Illustrative task mix, not a bill.
Permissions. Limits. Budgets.
Every model behind one key. Who can use what, how much, and on whose budget.
Claude Opus 5.5Engineering
GPT-6 LunaEveryone
Kimi K3Excluded
Marketing budgetThis month
$620 of $1,000. Exclude a model company-wide with one switch. Marketing can't spend Engineering's allocation.
It learns what your team knows.
Threads, docs, deals, and tasks become memory the whole team shares. Every finished mission adds to it.
"No deploys after 3pm on Fridays." Said once. Applied everywhere.
It finds the work that should happen next.
Alerts and requests flow through the gateway. Borg proposes the mission, with evidence. You say go.
"Fix the flaky checkout test, 6 failed runs this week." Proposed, approved, logged.
One subscription. One bill.
Claude, GPT, Gemini, Grok, Kimi, GLM, plus image, video, and voice. A new model is a policy switch, not a vendor contract.
Claude Opus 5.5
GPT-6 Astra
GPT-6 Luna
Gemini 3.8 Flash
Grok 4.7
Kimi K3
GLM 5.3
Veo 3.1
Everywhere
Mac, Windows, Linux, web, phone, and an API for your own product.
The App Hub
The apps in the hub are the ones a team stops paying SaaS for. Screenity replaces Loom. Twenty replaces HubSpot. The savings figures are the ones already in the hub data.
Not only text
Image, video, and voice on the same policy, so video access is a gateway rule too.
How it happens.
We install it
The gateway, your model policy, budgets, the vetted registry, and the Leader View. Live in weeks. Very little lift on your side.
We train your team
Role by role: the right model for the task, the context to give it, the guardrails to respect, the metric it feeds.
We keep you future-proof
A new model is a policy change, not a migration. We re-tune every quarter. Nothing to rip out.
Eight questions. Two minutes. An honest score.
Take the AI Company AssessmentChoose a team size to begin the illustrative assessment.
The people who run the install.
A client inherits a solved problem, not an open question. The gateway, the model policy, budgets, the registry, and the Leader View come with the people who already run them.
Kane Sivesind
Leads every install: the gateway, the model policy, budgets, the registry, and the Leader View. A client inherits a solved problem, not an open question.
Jonathan Kilton
Leads every install: the gateway, the model policy, budgets, the registry, and the Leader View. A client inherits a solved problem, not an open question.
Manick Bhan
Two exits and a scaled engineering team. He has led engineering at companies of a couple hundred people, run agent fleets of over 1,000 agents, and is passionate about helping teams access more AI, analyze their business problems, and get useful work done.
Stop paying for seats you can't see into.
One call. We look at your team, your stack, and your numbers, then tell you exactly what the install looks like, what it costs, and how fast it's live.
Book a call