Hire your AI team.
Run your business with private, connected AI agents — support, documents, finance, coding and operations — wired into the tools you already use and deployed on infrastructure you control.
Meet the agents you can hire
Each role is a real worker, not a chatbot — scoped permissions, typed tools and the connectors it needs to do the job. Start with one and grow into a whole AI Business OS.
Customer Support Agent
Answers customers over your docs, drafts replies, triages tickets.
Document / RAG Agent
Reads contracts, reports and wikis and answers with citations.
Legal Evidence Agent (DocMatch-style)
Searches case files and exhibits to surface and link evidence.
Hotel / Hospitality Agent
Handles guest messaging, bookings and front-desk automation.
Accounting / Odoo Agent
Extracts invoices, reconciles data and drives ERP workflows.
Coding / Product Engineering Agent
Local code completion, review and refactoring on private source.
Founder Ops / Business Command Center
A fleet of cooperating agents running the whole business privately.
Wired into the tools you already run
Agents ship as packs — each connected to the systems a function lives in, so it does real work instead of just answering questions. Connect Gmail, Drive, Odoo, Lodgify, Stripe, WhatsApp, Slack and GitHub.
Hospitality
A private concierge + operations agent for hotels and short-stay.
- ▸Multilingual guest messaging across channels
- ▸Booking, amenity and local-recommendation answers
- ▸Upsell and review-response drafting
Odoo / Accounting
A back-office agent that reads documents and drives your ERP.
- ▸Invoice and receipt extraction to structured data
- ▸Bank and ledger reconciliation
- ▸Odoo / ERP workflow automation
Legal / DocMatch
A confidential evidence and document agent for legal teams.
- ▸Evidence and exhibit search with cited passages
- ▸Contract and clause Q&A across matters
- ▸Discovery review and summarization
Customer Support
A private support agent over your own knowledge base.
- ▸Reply drafting in your tone
- ▸Knowledge-base and FAQ answering (RAG)
- ▸Ticket triage, tagging and routing
Product & Engineering Ops
Coding and delivery agents that keep proprietary source private.
- ▸Code completion, review and refactoring on private repos
- ▸Pull-request explanation and test generation
- ▸Issue triage and release-note drafting
Powered by the best open models
Your agents run on a curated library of 67 models — Qwen, DeepSeek, Llama, Mistral, plus embedding, reranking and vision models. 64 are open-weight and run privately; we map each to the agent roles and hardware it suits.
Qwen3 235B-A22B (MoE)
MoE efficiency · frontier-class quality
DeepSeek-R1 671B (MoE)
frontier reasoning · MoE efficiency
Llama 3.1 405B
frontier quality · complex reasoning
Mixtral 8x7B (MoE)
throughput · MoE efficiency
Run it private, in your cloud, or hybrid
Keep everyday agents on hardware you own for privacy and predictable cost, burst to your own cloud for the largest models, or do both. The same agents, wherever they run.
Local appliance
A quiet box on-site running your agents. Lowest cost per request and full data residency for a single office or property.
Best for: SMBs, single sites, confidential data, predictable everyday workloads.
On-prem server
A workstation or server in your rack or closet, serving many agents and larger models to a whole team or department.
Best for: Departments, regulated data, high steady volume, multi-agent platforms.
Cloud GPU
Rented GPUs in your own cloud account for bursts, the largest models, or before you've validated volume — no hardware to own.
Best for: Spiky demand, frontier models, pilots, overflow capacity.
Hybrid
Everyday private agents run locally; heavy or occasional jobs burst to the cloud. The pragmatic default for most businesses.
Best for: Most real deployments — control and cost locally, elasticity in the cloud.
The private AI box behind your team
Want to run agents on your own hardware? We score 43 GPUs, workstations, mini PCs, appliances and servers for real local-AI workloads — so you buy the right machine for the agents you want.
Supermicro 8x H100 SuperServer
An 8-GPU HGX H100 server with ~640GB of aggregate HBM3 — datacenter-scale training and high-throughput serving in one node.
- Memory
- 640 GB
- Architecture
- NVIDIA HGX H100 (8-GPU)
Dell PowerEdge XE9680
Dell's flagship 8-GPU AI server, configurable with H100 or H200 — a rack-scale building block for AI clusters.
- Memory
- 640 GB
- Architecture
- NVIDIA HGX (8-GPU), H100/H200 options
AMD Instinct MI300X
AMD's datacenter accelerator with a class-leading 192GB of HBM3 — exceptional memory capacity for very large models on a single card.
- Memory
- 192 GB
- Architecture
- CDNA 3
How you build your AI team
From a model running to agents safely doing real business work in four steps.
Pick your agents
Choose the roles you want to hire — support, documents, finance, coding, operations — from ready-made packs.
Connect your tools
Wire each agent into the systems it works in: Gmail, Drive, Odoo, Stripe, WhatsApp, Slack, GitHub and more.
Choose where it runs
Deploy on a private box on-site, an on-prem server, your own cloud GPUs, or a hybrid of all three.
Put your team to work
Agents do real work behind permissions, confirmations and an audit log — not just chat in a window.
Why a model alone isn’t a team
A GPU runs the model. Turning that into agents you can trust with real work takes permissions, tools, connectors, retrieval, confirmations, audit and orchestration — the operating system layer BrainOutput provides.
Agents need scoped access — who can ask what, which data and actions each role may touch. A raw model has none of this.
Real work means doing things: creating an invoice, replying to a guest, opening a ticket. The OS gives agents safe, typed tools.
Business value lives in Odoo, Stripe, WhatsApp, GitHub, Zendesk and the rest. The OS connects agents to the systems you already run.
Agents must answer from your documents, not their training data. Retrieval over your private knowledge base is built in.
High-stakes actions should pause for approval. The OS adds confirmations and review steps so agents are safe to deploy.
Every action is logged and reviewable — essential for finance, legal and regulated work, and for trusting agents over time.
Most jobs are multi-step and multi-agent. The OS orchestrates them reliably instead of relying on one prompt to do everything.
Hardware specs and model figures are independent, approximate guidance and clearly marked when unverified — we never invent precise numbers, prices or benchmarks.
Build your private AI team with BrainOutput
Start with one agent, connect your tools, and grow into a full private AI workforce on infrastructure you control.
Build my AI team