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Stop picking AI models. Start assigning outcomes.

By Bryan Fikes·October 1, 2026·11 min read·JOURNAL · 069 / 069
The getborg.com homepage: An AI team that knows your company, with the Borg Fusion prompt box
PLATE_J069OCTOBER 1, 2026
◉ READ TIME · 11 MINScreenshot · getborg.com · Oct 2, 2026
[ Watch · 10:38 ]
What Is BORG AI? The AI Team That Uses ChatGPT, Claude, Gemini & Grok
◉ Video · Bryan FikesWatch on YouTube ↗
▤ Video transcript · 1385 wordsExpand

Most businesses are using AI backwards. We open ChatGPT for one job, Claude for another, Gemini for a third, maybe Grok for a fourth. Then we copy the context from one window to the next. And somewhere along the way, the person doing the copying becomes the integration layer. There's a new platform betting on the opposite: stop picking models, start assigning outcomes. It's called Borg. In the next few minutes I'll show you what it actually does, what it doesn't, and why I think this is bigger than any one product.

Here's how most teams actually work in 2026. A request comes in. You open ChatGPT and draft it. You paste the output into Claude to sharpen it. You drop the result into Gemini to fact-check it. Somewhere in there you copy a brief into Grok for a social angle. Every hop, you are the one moving the context. The models never see each other's work. The project history lives in your head, your clipboard, and twelve browser tabs. That's the real bottleneck. Not model quality. Model quality has been climbing every quarter. The bottleneck is that a human is doing the routing, the memory, and the quality control between systems that can't talk to each other. Put a label on that diagram and the label reads: the human is the router.

So what is Borg? In their own words, it's an AI team that knows your company. The longer version, from their homepage: Borg reads the tools your team already uses, spots the next thing worth doing, and gets it done with the right frontier model for each step. That one sentence holds three claims. It reads your tools. It proposes work, instead of waiting for your prompt. And it routes each step to the model that fits. It ships as a Mac desktop app, a web app, and a phone app for approving work on the go. Windows, Linux and Android were listed as coming soon when I checked. Underneath it sit a gateway and a developer API. Now, here's my read. The important shift isn't any single feature. It's moving from asking AI questions to assigning AI work.

The routing layer has a name: Borg Fusion. Their pitch is every frontier model, one subscription. Claude, GPT, Gemini, Grok, Kimi, GLM, plus image, video and voice models, all on one bill. Here's how Borg describes the routing: fast, inexpensive models for everyday work, the frontier when it matters. And the examples are ordinary business work, which is the point. Sorting forty support tickets? That went to a fast, cheap model. Refactoring the billing service? Frontier model. Reading a four hundred page vendor contract? A model built for long documents. A ten second teaser cut from the demo? A video model. Watch the pattern: you never chose. The system matched the work to the engine, and priced it at each maker's own list price. And my read is this. For years the question has been, which model is best. That's the wrong long-term question. Rankings shift every few months. The durable design is a system that decides which model handles which piece of work. Without that layer, you're the router. With it, the orchestration layer is.

Now, the part I think matters even more than routing: memory. Borg's claim is that it learns from your team's threads, docs, pull requests, deals and tasks, and turns them into memory the whole team shares, so every conversation starts where the last one ended. Picture six messages from six tools. A Slack reminder about no Friday deploys. A renewal that waits on single sign-on. A flaky checkout test. Six messages become six facts the whole team shares. And the memory compounds. Each finished mission leaves context behind: what worked, who approved it, which model did it best. Without shared memory, every new AI session is a new employee with amnesia. You re-explain the company, the customers, the strategy. Then you do it again tomorrow. ChatGPT and Claude both have memory features now. The difference in Borg's pitch is that the memory belongs to the team, not one person's chat history, and it isn't locked to one vendor. One caution from me: they haven't published the full integration list, so check that it can actually read your systems before you count on this.

Missions are Borg's unit of work. Here's the difference. A prompt is: analyze our competitors. A mission is a sequence. Research the competitors. Collect evidence. Analyze positioning. Pick the right models. Produce the deliverable. Verify it. Report back. Borg's own line defines it: missions keep going until the evidence says they are done. Signals flow in from your apps: messages, alerts, requests. Borg connects them to what it knows and proposes missions, each with its evidence attached. You say go. A borg sees it through. And when something sensitive comes up, like two answers on a security questionnaire that need a human, it stops and asks. Notice what happened to your job. You stopped being the operator running every step. You became the approver. Prompts generate answers. Missions pursue outcomes.

That only works if it's governed, and that's the gateway's job. Every model behind one key, shared across your team with permissions, limits and budgets. And you can bring the subscriptions you already pay for. Per-team model access. Spending caps. Approval gates on sensitive actions. There's also a platform API with realtime, flex, batch and spot capacity, so you can put the whole collective inside your own product. My read: the gateway is where governance lives. The more power you give an AI team, the more important those controls become. This is the part nobody demos at a keynote, and it's the part that decides whether any of this is safe to point at real systems.

Zoom out, because this isn't really about one product. 2023, we chatted with AI. 2024 and 2025, copilots moved inside our tools. 2025 and 2026, agents started taking actions. Next: AI teams. And eventually, agentic organizations. The architecture behind that last step looks the same no matter whose logo is on it. The business sits on top. Below it, an orchestration layer. Sales agents, marketing agents, operations agents, development agents. Each specialized, all coordinated. They share one company memory. And underneath, a multi-model router picking the right engine for each job. Hold that picture. That's where this whole industry is walking.

So why did Borg catch my attention? Because at Bonsai, we've been building toward the same ideas. Multi-model orchestration. Specialized agents. Persistent business context. Autonomous workflows. Approval gates. Human oversight. Let me be clear: Bonsai and Borg are not the same product. But the direction is the same. And the question we ask isn't how do I use ChatGPT in my business anymore. It's this: what happens when AI becomes part of the operating architecture of the business?

If you're evaluating Borg, or anything like it, here are the five questions that matter more than any demo. Context: how much of the business can the system actually see? Memory: does knowledge persist across sessions and people? Orchestration: can it pick the right agent and the right model for each piece of work? Execution: does it do the work, or only recommend it? And governance: can humans control permissions, approvals and budgets? Context. Memory. Orchestration. Execution. Governance. That's the scorecard. Borg's public materials speak to all five. How well each holds up in daily use, only a real rollout will show.

Here's where I think this ends up. You don't wake up deciding whether today is a Claude day or a ChatGPT day. You tell the system what needs to happen. It understands the company. Breaks down the goal. Picks the right capabilities. Coordinates the work. Brings people in where judgment matters. And delivers the result. That's not a better chatbot. It's an operating system for intelligence. The future isn't one AI. It's an AI team. Borg is early, and we'll see how the execution holds up. But the direction is clear. If you want to figure out what an AI team looks like inside your business, reach out to me. I'll walk you through it, and I'll send you our playbook for rolling this model into your workflows. It's linked below, along with the full written analysis.

Transcript of the narration as recorded · Bryan Fikes

TL;DR · KEY TAKEAWAYS
  • ◆Borg (getborg.com) describes itself as "an AI team that knows your company." It combines shared company memory, missions and multi-model routing in one app.
  • ◆Borg Fusion is the routing layer. Borg says it "picks the model and effort for each request" across Claude, GPT, Gemini, Grok, Kimi and GLM.
  • ◆Missions are Borg's unit of work. Borg proposes them with evidence, a human says go, and missions "keep going until the evidence says they are done."
  • ◆Pricing starts free. Paid plans are Personal ($20/mo), Power ($99), Max ($199) and Team ($500), plus Business ($5,000/mo with setup and training) and custom Enterprise.
  • ◆Borg's App Marketplace lists 27 apps across 8 categories, named for the SaaS tools they're meant to replace, from Loom and HubSpot to Linear and DocuSign.
  • ◆The bigger story is the shift from AI tools to AI teams. Judge any agentic platform on context, memory, orchestration, execution and governance.

Most businesses are using AI backwards. We open ChatGPT for one job, Claude for another, Gemini for a third, maybe Grok for a fourth. Then we copy context from one window to the next, and somewhere along the way the person doing the copying becomes the integration layer.

Borg (getborg.com) is a new platform built around that exact problem. Instead of asking you to choose a model and write a prompt, it tries to give your work to an AI team that already knows your company. I spent time going through everything Borg has published about the product. This piece separates what Borg says from what I think it means.

Disclosure: Bonsai Marketing Company has early access to Borg through the Agentic Mastermind class of 2026 and uses the web app at app.getborg.com. Everything below is drawn from Borg's public site as of October 2, 2026, and the screenshots are Borg's own pages. Where I'm giving my own read, I say so.

What is Borg AI?

Borg describes itself in one line: "An AI team that knows your company." The longer version, from its homepage: "Borg reads the tools your team already uses, spots the next thing worth doing and gets it done with the right frontier model for each step."

That sentence holds the whole product. There are three parts in it:

  1. It reads your tools. Borg builds shared memory from your team's work.
  2. It spots the next thing worth doing. Borg proposes work instead of waiting for a prompt.
  3. It uses the right model for each step. A routing layer called Borg Fusion picks the model.

Today Borg is a web app at app.getborg.com. Its site previews a Mac desktop app and a phone app for approving missions, with Windows, Linux, iPhone and Android listed as "coming soon," but as of early October 2026 the web app is the one you actually work in. There's also a gateway and a developer API.

My read: the important shift is from asking AI questions to assigning AI work. A chatbot follows this path: person, prompt, model, answer. Borg describes something closer to this: company context, AI team, mission, several models, tools, finished work.

What is Borg Fusion?

Routed by Borg Fusion
GPT-6 Luna
Sort 40 support tickets by urgency
$0.10 / $0.50
Claude Opus 5.5
Refactor the billing service
$4 / $20
Gemini 3.8 Flash
Summarize this week's churn calls
$0.75 / $3.75
Kimi K3
Read the 400-page vendor contract
$3 / $15
Grok 4.7
Scan replies to the launch post
$1.60 / $4.80
GLM 5.3
Translate the help center into Japanese
$1.40 / $4.40
GPT Image 2.5 Flare
Make a launch visual for the new plan
Per image
Veo 3.1
Cut a 10-second teaser from the demo
Per second
Prices per 1M input and output tokens, as listed by each maker on Sep 23, 2026. All on one Borg subscription.
FIG 01 · Borg Fusion routes each task to a different model and shows each maker's list price. Rebuilt from Borg's Fusion section, getborg.com, Oct 2, 2026.

Borg Fusion is Borg's multi-model routing layer. In Borg's words: "Every frontier model. One subscription." The supported list on the site is Claude, GPT, Gemini, Grok, Kimi and GLM, "plus image, video and voice models, in one app on one bill."

Here's how Borg describes the routing: "Borg Fusion picks the model and effort for each request: fast, inexpensive models for everyday work, the frontier when it matters." You can still pick a model yourself. Borg's models page says you can "choose one yourself or let Borg Fusion pick," and it lists each maker's own per-token price.

My read: for the last few years the question has been "which model is best?" That's the wrong long-term question. Models are good at different things, and the rankings shift every few months. The more durable design is a system that decides which model handles which piece of work. Without that layer, the human is the router. With it, the orchestration layer is the router. You stop picking models and start assigning outcomes.

I'm not going to tell you which model is "best." Borg doesn't claim that either. The point of routing is that you no longer have to settle that question to get work done.

How does Borg's company memory work?

Borg's claim: "It learns what your team knows." More fully: "Borg learns from your team's threads, docs, pull requests, deals and tasks. It becomes memory the whole team shares, so every conversation starts where the last one ended."

Slack#eng

Reminder: no deploys after 3pm on Fridays.

GmailDana at Acme

We will renew once SSO is in place.

ClickUpQ4 launch

Launch copy needs Maya's sign-off before it ships.

NotionPricing 2026

Since Aug 12 the pricing page leads with annual plans.

GitHubcheckout-service

Flaky again. Payments sandbox timed out after 30s.

HubSpotEnterprise pipeline

Acme is in security review, day 41.

What Borg remembers
  1. No deploys after 3pm on Fridays.
  2. The pricing page leads with annual plans.
  3. Checkout tests flake when the payments sandbox is slow.
  4. Enterprise deals stall at security review.
  5. Launch copy needs sign-off from Maya.
  6. Acme renews once SSO is in place.
FIG 02 · Six messages from six tools become six facts the whole team shares. Rebuilt from Borg's memory section, getborg.com, Oct 2, 2026.

Borg also says the memory grows with use: "Each finished mission leaves context behind: what worked, who approved it, which model did it best."

My read: model routing is useful, but context is the bigger problem for most businesses. Without shared memory, every new AI session is a new employee with amnesia. You re-explain the company, the customers, the strategy and the documents. Then you do it again tomorrow.

Individual assistants have gotten better at this. ChatGPT and Claude both offer memory and project features now. The difference in Borg's pitch is that the memory belongs to the team rather than one person's chat history, and it isn't tied to one model vendor. Borg hasn't published its full list of integrations, so check which of your systems it can actually read before you count on this.

What are Borg Missions?

Missions are Borg's unit of work. Borg describes the flow like this: "Messages, alerts and requests from your apps and your team flow through the gateway. Borg connects them to what it knows and proposes missions, each with its evidence. Say go, and a borg sees it through."

Borg's missions section showing alerts from Slack, GitHub, Gmail, HubSpot and Google Calendar flowing into the gateway
FIG 03 · Signals from a team's apps flow through the gateway and become proposed missions. Source: getborg.com, captured Oct 2, 2026.

And the line that defines them: "Missions keep going until the evidence says they are done."

The homepage examples are ordinary business work, which is the point: "Find renewals at risk in HubSpot," "Turn yesterday's call into a spec," "Fix the flaky checkout test." Another example shows a mission ready for review: a security questionnaire "drafted from the SOC 2 report in Notion. Two answers need you." with Approve and Open buttons.

Borg section reading Every mission makes the collective smarter
FIG 04 · Borg says each finished mission leaves context behind for the next one. Source: getborg.com, captured Oct 2, 2026.

My read: the difference between a chat and a mission is the difference between a request and a goal. A chat is "write an analysis of our competitors." A mission is a sequence: research the competitors, collect evidence, analyze positioning, pick the right models, produce the deliverable, check it, and report back. The human moves from operator to approver. The unit of work is moving from prompt to task, then to workflow, then to mission.

The Borg Gateway and Platform API

Two pieces sit underneath the app:

  • The Borg Gateway: "Every model behind one key, shared across your team with permissions, limits and budgets. Bring the subscriptions you already pay for."
  • The Platform API: "Put the collective inside your product. Call Borg Fusion or pick a model, with realtime, flex, batch and spot capacity." The example request uses an OpenAI-style /v1/chat/completions endpoint with "model": "borg-fusion".
Borg desktop app, phone approval screen, Borg Gateway model permissions and Platform API code sample
FIG 05 · The desktop app, phone approvals, the Gateway's per-team model permissions and budgets, and the Platform API. Source: getborg.com, captured Oct 2, 2026.

My read: the gateway is where governance lives. Permissions, limits and budgets per team are what make it safe to give an AI team real access to real systems.

How much does Borg cost?

Borg sells two sets of plans: individual plans on its main pricing section, and company plans on its Borg for Business page. Borg measures usage against Anthropic's own plans, so "3×" means Borg says you get three times the usage.

Free
$0
Try Borg with everyday models.
  • Chats and projects on desktop and web
  • Borg Fusion for everyday work
  • Join your team's workspace as a member
Personal 3×
$20per month
Ask Borg to do real work.
  • Every frontier model on one bill
  • 3× usage vs Anthropic
  • Missions you start and review
  • Memory across your projects
  • Desktop, web and mobile
Power 20×
$99per month
For people who work with Borg all day.
  • 20× usage vs Anthropic
  • More borgs working in parallel
  • Choose frontier models directly
  • Background missions
Max 50×
$199per month
Borg works while you do not.
  • 50× usage vs Anthropic
  • Persistent missions
  • Borg proposes the next mission itself
  • Large background fleets
  • Highest priority
Team 250×
$500per month
Your team's shared collective.
  • 250× usage vs Anthropic
  • Shared memory, projects and missions across the team
  • Agents that stay up and keep working
  • Permissions, model access and budgets
  • Capacity for 100 or more agents
FIG 06 · Borg's individual and team plans. "3×" means Borg says you get three times the usage of Anthropic's own plans. Rebuilt from getborg.com, Oct 2, 2026.

For companies that want help rolling it out, the Borg for Business page adds two tiers above Team. Prices as listed on getborg.com on October 2, 2026.

Borg for Business · above the $500 Team plan
Business
$5,000per month
Setup, installation and training included.
  • Everything in Team
  • Guided setup and installation for your company
  • Installation training program for your team
  • Hands-on rollout so the collective is ready to work
Enterprise
Custom
The collective, run your way.
  • Platform API and pooled compute
  • Governance and security reviews
  • Private models trained on your work
  • Custom terms and support
FIG 07 · Borg's company plans. Business adds setup, installation and training. Rebuilt from getborg.com/borg-for-business, Oct 2, 2026.

Borg's AI App Marketplace: all 27 apps

Borg's App Marketplace pitches "Twenty-seven apps. One launcher." In Borg's words: "Replace the SaaS stack you already pay for: Loom, HubSpot, Wispr Flow, PandaDoc, and more. Launch them from Borg." Each app is named for the SaaS product it's meant to replace, and most carry tags such as Self-hosted, Unlimited seats and Actively maintained.

Borg AI App Marketplace header: Twenty-seven apps. One launcher, with the annual SaaS value replaced estimate
FIG 08 · The marketplace and Borg's estimate of the SaaS spend it replaces. Source: getborg.com, captured Oct 2, 2026.

Borg puts the total "annual SaaS value replaced" at $174,260–$444,320 a year, and gives its own midpoint as about $274,600. (A straight average of that range would be closer to $309,000, so Borg is likely weighting it differently.) That's based on "public list prices for a ~20-seat team," and Borg labels the apps "sample previews only." The price column below is Borg's estimate of what the original SaaS tool costs a 20-person team, not what Borg charges.

Annual SaaS value replaced
$174,260–$444,320 / year
Public list prices for a ~20-seat team · 27 swaps
~$274,600Borg's midpoint
Team productivity 10 apps
Loom
Async screen walkthroughs
$18,000–$30,000
Granola
Notes, decisions, next steps
$2,400–$8,400
Wispr Flow
Speak, review, refine
$4,800–$7,200
Miro
Shared infinite canvas
$1,920–$7,200
Dropbox
File drop and sharing
$3,600–$7,200
Notion
Team docs and wiki
$2,400–$7,200
Zoom
Team video calls
$3,400–$6,000
Calendly
Booking pages and event types
$2,400–$5,760
Slack
Humans and agents messaging
$1,800–$5,400
1Password
Password vault
$1,800–$3,000
Engineering 6 apps
Cursor
Claude Code + Codex playground
$4,800–$18,000
Datadog
Uptime, incidents, status
$3,600–$18,000
Heroku
Deploy and release apps
$3,600–$14,400
Firebase
Postgres, auth, and storage
$2,400–$12,000
Sentry
Exceptions, releases, alerts
$1,200–$9,600
Linear
Issues, cycles, owners
$2,400–$6,000
Sales 3 apps
HubSpot
Contacts, deals, and CRM
$84,000–$120,000
PandaDoc
Scope, price, and present
$2,940–$11,760
DocuSign
Prepare and collect signatures
$3,600–$10,800
Marketing 3 apps
Mixpanel
Events, funnels, web analytics
$2,400–$36,000
Mailchimp
Lists, campaigns, newsletters
$2,400–$12,000
Buffer
Schedule posts across channels
$600–$2,400
HR 2 apps
Teamtailor
Jobs, pipeline, candidates
$3,600–$12,000
BambooHR
People ops and time tracking
$3,000–$7,200
Design 1 app
Figma
UI and creative direction
$4,000–$14,000
Support 1 app
Intercom
Live chat and help inbox
$6,000–$48,000
Finance 1 app
Expensify
Receipts, claims, approvals
$1,200–$4,800

Bars show Borg's estimated range on one shared $0–$120K scale. This is what the original SaaS tool costs a 20-person team, not what Borg charges. Borg labels the apps "sample previews only."

FIG 09 · Borg's App Marketplace, all 27 apps by category. Rebuilt from getborg.com/ai-app-marketplace, Oct 2, 2026.

My read: two things stand out. First, the savings case is lopsided. HubSpot alone accounts for $84,000–$120,000 of the estimate, so a team that doesn't pay for HubSpot today should knock that off before running the numbers. Second, the marketplace fits the larger pitch. If agents already share your company's memory, having the CRM, docs and chat live in the same place means less context lost between tools. Whether these apps can fully stand in for the originals is something to test with your own team. Borg itself calls them sample previews.

Borg AI vs ChatGPT, Claude and OpenRouter

These products overlap less than the comparisons suggest. Here's the honest framing:

  • Borg vs ChatGPT or Claude. ChatGPT and Claude are assistants built around one company's models. Borg is a layer that uses those models, among others, and adds shared team memory, missions and routing on top. If you're happy with one assistant for one person, you may not need Borg. The pitch is aimed at teams.
  • Borg vs OpenRouter. OpenRouter is a developer API that gives you access to many models through one key. Borg's gateway and API cover similar ground, but Borg's main product is the app above it: memory, missions and approvals.
  • Claude + GPT + Gemini + Grok together. This is the real comparison. You can stitch the four together yourself and be the router, or you can let a system do it. Borg is betting most teams will choose the second.

Why this matters more than Borg

Zoom out, because this isn't really about one product. Borg is one example of a bigger transition in business AI:

  1. 2023: chatting with AI
  2. 2024–2025: AI copilots inside the tools you already use
  3. 2025–2026: AI agents that take actions
  4. Next: AI teams, and eventually agentic organizations

The architecture behind that last step looks the same no matter whose logo is on it. A business sits on top. An orchestration layer sits below it. Sales, marketing and operations each have their own agents. Those agents share one company memory, and a multi-model layer underneath picks the right engine for each job.

We've been building toward many of the same ideas inside Bonsai: multi-model orchestration, specialized agents, business context, automated workflows, approval gates and human oversight. Bonsai and Borg are not the same product. But the direction is the same. The question we're asking isn't "how can a company use ChatGPT?" It's "what happens when AI becomes part of the operating architecture of the company?" That's the move from AI as a tool to AI as infrastructure.

Five things to evaluate in any agentic AI platform

If you're looking at Borg, or anything like it, these five questions matter more than whichever demo is getting attention this month:

  1. Context. How much of the business can the system actually see and understand?
  2. Memory. Does useful company knowledge persist from one session and one person to the next?
  3. Orchestration. Can it pick the right agent and the right model for each piece of work?
  4. Execution. Does it do the work, or only recommend what a human should do?
  5. Governance. Can humans control permissions, approvals, budgets and sensitive actions?

Borg's public materials speak to all five. Memory, missions and Fusion cover the first four, and the gateway's permissions, limits and budgets cover the fifth. How well each holds up in real day-to-day use is something only a real rollout will show.

The bottom line

Here's where I think business AI ends up. You don't wake up and decide whether today is a Claude day or a ChatGPT day. You tell the system what needs to happen. It understands the company, breaks down the goal, picks the right capabilities, coordinates the work, brings people in where judgment or approval is needed, and delivers the result.

That's not a better chatbot. It's an operating system for intelligence. The future isn't one AI. It's an AI team.

Borg is early, and we'll see how real-world execution compares with the vision. But the direction matters. At Bonsai Marketing Company we're building and testing this agentic model inside real businesses across marketing, search, content, lead generation, automation and operations. If you're wondering how to build an AI team around your company, that's the conversation we want to have.

Frequently asked questions about Borg AI

What is Borg AI?

Borg (getborg.com) is an AI platform that describes itself as "an AI team that knows your company." It learns from your team's tools to build shared memory, proposes work as missions, and routes each step to a model such as Claude, GPT, Gemini or Grok through a layer called Borg Fusion.

What is GetBorg?

GetBorg.com is Borg's website. "GetBorg" and "Borg AI" refer to the same product.

What is Borg Fusion?

Borg Fusion is Borg's model router. According to Borg, it "picks the model and effort for each request," sending everyday work to fast, inexpensive models and harder work to frontier models. You can also pick a model yourself.

Which AI models does Borg support?

Borg lists Claude, GPT, Gemini, Grok, Kimi and GLM, plus image, video and voice models, all on one bill.

What are Borg Missions?

Missions are goals Borg works toward on your behalf. Borg proposes a mission along with its evidence, a person approves it, and Borg says missions "keep going until the evidence says they are done."

Does Borg have persistent memory?

Yes, according to Borg. It says it learns from your team's "threads, docs, pull requests, deals and tasks" and builds memory the whole team shares, "so every conversation starts where the last one ended."

How much does Borg cost?

Borg has a free plan. Paid plans were listed at $20 a month (Personal), $99 (Power), $199 (Max) and $500 (Team). For guided company rollouts, Business is $5,000 a month with setup and training, and Enterprise is custom. Prices as of October 2, 2026.

What apps are in Borg's App Marketplace?

Borg lists 27 apps in 8 categories, each named for the SaaS tool it's meant to replace: Loom, HubSpot, Wispr Flow, PandaDoc, Slack, Expensify, Mailchimp, Calendly, Miro, Dropbox, Notion, Zoom, Granola, 1Password, Cursor, Linear, Heroku, Firebase, Datadog, Sentry, Figma, DocuSign, Buffer, Mixpanel, Intercom, BambooHR and Teamtailor.

Is Borg better than ChatGPT or Claude?

They aren't the same kind of product. ChatGPT and Claude are assistants built on their makers' models. Borg uses models like those and adds team memory, missions and routing on top. Which is right depends on whether you need one assistant or a coordinated AI team.

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