Engineering knowledge at mission speed.
Search technical manuals, test records, specifications, drawings and lessons learned with answers grounded in approved internal sources.
Bring AI computing home to your organization. Own, power and control right-sized infrastructure for sensitive knowledge and daily workflows—using less power for appropriate everyday workloads and reducing pressure on distant, power-intensive data centers.
BrainFarm USA helps organizations bring useful AI closer to their data, people and physical operations—without making unrestricted public AI services the default destination for internal knowledge.
Search technical manuals, test records, specifications, drawings and lessons learned with answers grounded in approved internal sources.
Support proposal teams, program documentation, supply-chain research and engineering collaboration inside a customer-managed environment.
Make policies, procedures, archives and agency knowledge easier to search, summarize and use while maintaining organizational governance.
Unify manuals, code documentation, maintenance history, sensor research and operating procedures for faster development and support.
Run private inference, retrieval, evaluation and development workloads on expandable enterprise hardware with an open deployment architecture.
Plan GPU compute, high-speed networking, storage, power and multi-node growth around real workloads and operational requirements. Explore AI data-center infrastructure →
BrainFarm USA’s parent company, Sierra Circuit Repair, Inc., operates under R2v3, ISO 9001, ISO 14001 and ISO 45001 certifications. That background informs how we approach hardware handling, quality, environmental responsibility, worker safety and documented processes.
Security planning matters: BrainFarm systems can be designed to support NIST SP 800-171, CMMC and ITAR-controlled workflow requirements. Final compliance depends on the customer’s complete people, process, policy and technology environment.
AI should not require every organization to depend entirely on enormous, power-intensive data centers. BrainFarm moves practical computing power back inside the customer’s company, where right-sized local systems can use less power for appropriate everyday workloads, reduce pressure on shared data centers and give the organization control of its data, models, security policies and future business choices.
In conjunction with Mac2MacOnline, we identify quality enterprise computers and components that can be reclaimed, tested and reconfigured into BrainFarm’s three levels of private AI hardware. Rather than treating capable technology as obsolete, we match it to a new business purpose.
This circular approach can lower the initial cost of adopting AI, extend the useful life of valuable hardware and reduce unnecessary electronic waste—without compromising the security and reliability a business system requires.
Right-sized local systems perform everyday business AI work without routing every request through large shared facilities. For appropriate workloads, local processing uses less infrastructure and power, while capacity grows with actual need instead of being oversized from day one.
Reclaimed enterprise hardware and three clearly defined performance levels create a more attainable path from a focused first deployment to demanding high-end workloads.
Documents, prompts and model activity remain on customer-controlled equipment, while the organization retains authority over models, permissions, upgrades, network access and future business options.
Working servers, memory, storage and accelerators are evaluated for productive reuse, helping recover more value from existing equipment before recycling becomes necessary.
Practical private AI for secure chat, document search, RAG and everyday productivity across a small business or department.
Explore entry-level systems →
Twice the entry-level GPU capacity for more simultaneous users, larger knowledge collections and multiple department workloads.
Explore the mid-level system →
High-bandwidth A100 acceleration for larger models, heavier concurrency, advanced analytics and demanding private AI applications.
Explore the high-end system →Lease a Starter, Business or Enterprise system and coordinate the hardware with installation, training, software support and maintenance. Each proposal is built around the workload, location and approved lease terms.
Search active lots, review closing dates and open the current bid details maintained by our team.
View the Live Bid Board → REQUEST A QUOTETell us about your users, documents, security requirements and goals. We will size the right platform and service plan.
Start a system quote → WANT TO BUYRequest complete AI platforms, NVIDIA GPUs, DDR5 ECC memory, enterprise SSDs and compatible infrastructure.
Send a buying request → UPGRADE TRADE-INSend eligible servers, GPUs, RAM, SSDs and networking equipment to Mac2MacOnline for evaluation during a BrainFarm infrastructure upgrade.
Open the M2M trade-in form →Ask questions, draft content, analyze information and solve problems using locally hosted AI models.
Explore Private AI Chat →OCR, indexing, search, summarization and classification.
Answers grounded in approved company documents with source references.
Manage users, models, permissions, monitoring and backups.
Ubuntu Linux, containers and open standards reduce vendor lock-in.
Encryption, audit logs, segmented networking and role-based access.
We work alongside your team from the first use-case discussion through deployment, adoption and long-term operation—so your private AI system keeps producing practical value.
Turn business challenges into a realistic private AI plan.
Help your staff teach the AI how your business works, then give employees and administrators the confidence to use it well.
Keep the platform secure, current and aligned with your needs.
Find answers across manuals, specifications, test reports, drawings, SOPs and engineering records with source references.
Search policies, procedures, grants, contracts and archives through a controlled internal assistant.
Accelerate research, requirements review, drafting and cross-document comparison while retaining human approval.
Connect hardware manuals, software documentation, maintenance data and field lessons across the development lifecycle.
Provide local model inference, approved retrieval and controlled internet access for sensitive teams.
Support private inference, RAG, model evaluation and internal development without locking the company into one hosted platform.