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ANSYO AI · COMPANIES

ANSYO AI for companies that already operate

Automate support, sales, and operations with custom systems and realistic scope. Integrated with your web or software. First we recover hours; then you level up if it makes sense.

01 · AI Levels

Levels: from simple to deep

These are not marketing names. They are engineering depth. You start where you recover time or money. You level up only if it makes sense. Prices in MXN.

LEVEL 01Impact: hours back by recovering repetitive work.

Elimination of Manual Tasks and Immediate Routine Automation

Time-leak audit and custom programs: data extraction, files, email reports, alerts, and basic tool sync. The clearest entry point to see fast ROI.

Estimated investment$4,395 – $17,579 MXN
Quote initial automation
LEVEL 02Impact: fewer errors and tools that talk to each other.

Platform Connection and Cross-Department Workflow Automation

Systems that connect CRM, sales, inventory, and finance. Flows that react to business events. Less copy-paste. Fewer human errors.

Estimated investment$26,368 – $87,894 MXN
Connect my tools
LEVEL 03Impact: fast answers with your company info, without giving data away.

Intelligent Query Assistants and Private Information Centralization

A system that reads manuals, contracts, policies, and records. Your team asks in plain language. Sensitive information stays in your perimeter.

Estimated investment$105,472 – $439,468 MXN
Centralize private knowledge
LEVEL 04Impact: end-to-end processes with clear rules, near 24/7.

Digital Employees and Complex Process Automation

Systems that don't just repeat tasks: they follow rules and finish entire processes — advanced support, cross-area coordination, and operations tailored to your business.

Estimated investment$527,361 – $1,582,084 MXN
Quote autonomous processes
LEVEL 05Impact: a proprietary AI asset, not a generic chat with a logo.

Proprietary Artificial Intelligence, Massive Processing & Full Tech Sovereignty

Custom central systems for large scale: massive processing, proprietary models, and independence from public platforms when the case requires it. Company intellectual property.

Estimated investment$1,757,871 – $8,789,354 MXN
Talk about large-scale AI
02 · Configurator

Tell us what you want to automate

AI demand configurator

Extra capabilities (if applicable)
ESTIMACIÓN ARQUITECTÓNICA DE IA
GPU VRAM REQUERIDA (MÍNIMA)48 GB VRAMBasado en 2x GPU local-first de 24GB.
TOPOLOGÍA RECOMENDADACyclic Multi-Agent Graph
INFRAESTRUCTURA DE HOST SUGERIDAUbuntu Server Node 1U
COGNITIVE SECURITY BLOCK

All local model configurations guarantee 100% data sovereignty. Weights are hosted on-premises inside shielded environments with no external API hooks.

03 · FAQ

FAQ (no theater)

Data, infrastructure, and return: direct answers for owners and technical teams.

No: “leaving the company” means sending your data to train third-party public models and losing control. ANSYO, when the case is sensitive, works local-first / in your perimeter or on your private cloud: cleaning, training, and the resulting model stay on your side. Your data is not used to feed another company's public model.

We adapt to what you already have or to a private cloud environment. We don't sell “boxes” as a catalog product: we design the software and AI solution and, if the case requires compute on your side (for privacy or volume), we guide you on real options — server, workstation, or isolated cloud — and leave the system running. The focus is your automation and your data under control, not pushing hardware.

On level 1 and 2 automations, you often notice it in weeks: fewer dead hours and fewer errors. On deeper systems (levels 3 to 5), maturation usually runs 3 to 6 months depending on complexity and team adoption. We don't promise magic: we start from a measurable problem.

It depends on the design. When we build with models and systems that live on your side, we don't lock you into an eternal rental of third-party tokens for the essentials. You pay for the engineering and, if applicable, your own compute. If a part uses an external provider, we tell you clearly in the scope — no fine print.