Custom LLM & RAG Solutions
Train private AI agents on your internal documentation, product data, and ERP history with full data isolation.
We embed Claude, Gemini, Grok and OpenAI directly inside Odoo — so your team can create orders, update records, and run complex operations using plain text or voice commands.
Production-grade AI capabilities engineered to work inside real ERP workflows.
Train private AI agents on your internal documentation, product data, and ERP history with full data isolation.
Forecast demand, inventory risk, and customer churn using models that continuously learn from your live Odoo data.
Automatically extract data from POs, invoices, and delivery notes and push clean records straight into Odoo.
Replace repetitive multi-step processes with intelligent agents that execute rules and take action in real time.
We don’t just connect AI to Odoo — we embed multiple frontier models so the system can understand and execute business operations from natural language.
We have integrated Claude AI, Gemini, Grok and OpenAI directly into Odoo. You can switch models or run them side-by-side depending on the task — reasoning depth, speed, or cost.
Users can issue instructions in plain English (or other languages) via text chat or voice. The AI understands context across Sales, Purchase, Inventory, Accounting and CRM modules.
A single sentence such as “Create a sales order for Acme Corp for 50 units of Product X at the contracted price” is enough for the AI to generate a complete quotation or sales order with correct taxes, pricelists and delivery terms.
Confirm quotations, validate deliveries, post invoices, or move manufacturing orders to the next stage — all through natural language. The AI respects your existing approval workflows and access rights.
“Add a new customer called Nova Logistics, set payment terms to 30 days and tag them as Strategic” — the AI creates the partner record, applies the correct fiscal position, and links related contacts.
From raising purchase orders when stock hits reorder points, to updating project tasks, logging timesheets, or generating analytical reports — complex multi-step operations can be triggered with one clear instruction.
Real operational scenarios we implement for clients — not theoretical demos.
Sales reps dictate or type order details while on a call. The AI builds the quotation, applies the right pricelist and discounts, checks stock, and prepares the document for review.
Agents monitor reorder rules, supplier lead times and demand signals, then draft or even confirm purchase orders within defined thresholds and approval limits.
Upload supplier invoices or delivery notes. OCR + LLM extract header and line data, match against POs, flag discrepancies, and create vendor bills ready for validation.
Ask “What’s blocking MO/00123?” or “Reschedule jobs delayed by material shortage.” The AI reads work orders, component availability and capacity to surface answers and actions.
Support agents (or self-service portals) query order status, delivery ETAs, open invoices and warranty history without leaving the conversation or opening multiple apps.
Executives ask plain-language questions about revenue, margin, pipeline health or inventory risk and receive structured answers grounded in live Odoo data.
A secure, controlled stack designed for enterprise ERP environments — not a fragile chatbot overlay.
All calls to Claude, Gemini, Grok and OpenAI go through a private gateway that enforces rate limits, logging, and data-redaction rules so sensitive ERP data never leaves your control unnecessarily.
Each agent receives live context from the current Odoo record, user permissions, and company configuration. This prevents the AI from hallucinating prices, tax rules or stock levels.
Before any write operation is executed, the system validates the proposed changes against business rules and user access rights. Critical actions can require human confirmation.
Successful and corrected actions are logged so the agents improve over time for your specific terminology, product catalog and operational patterns.
Measurable operational improvements teams typically see after going live.
Sales and customer service teams capture and confirm orders in a fraction of the clicks previously required.
Invoices, delivery notes and POs move from inbox to validated records with far less manual keying.
Context-aware agents apply correct taxes, pricelists and approval rules consistently, reducing rework.
Managers and ops teams get reliable answers from live data without waiting for reports or analysts.
AI that can act inside your ERP must be governed as carefully as any other privileged user.
Every AI action is evaluated against the same access rights and record rules that apply to human users. The AI cannot do what the current user is not allowed to do.
Prompts, model responses, proposed changes and final outcomes are logged. You can always reconstruct why a particular order or invoice was created or modified.
High-impact actions (large orders, payment runs, master data changes) can be configured to require explicit human confirmation before execution.
Deploy the gateway and agents in your private cloud or on-premise. Sensitive data can be redacted or kept entirely within your environment.
Claude for deep reasoning, Gemini for multimodal tasks, Grok for speed and real-time knowledge, OpenAI for broad ecosystem compatibility — all available inside the same Odoo instance.
Role-based access, audit trails, confirmation steps for high-risk actions, and the ability to run fully on-premise or in a private cloud.
Our team lives in Odoo daily. The AI layer is designed by people who understand real ERP constraints — not by pure AI researchers guessing how business software works.
We currently integrate Claude (Anthropic), Gemini (Google), Grok (xAI) and OpenAI models. You can route different tasks to different models based on reasoning needs, latency or cost. New models can be added through the same secure gateway.
Yes. Every action is executed in the security context of the current user. Record rules, access rights and approval workflows continue to apply. Critical actions can be forced through a human confirmation step.
Yes. The model gateway and agent layer can be deployed in your own infrastructure. Data redaction and logging policies are configurable so sensitive fields never leave your control.
A focused pilot (for example, conversational sales order creation + document OCR) can often go live in 4–8 weeks depending on data quality and process complexity. Broader rollouts across multiple modules are planned in phases.
No. Agents are grounded in live Odoo data. Prices, taxes, stock quantities and partner details are read from the database at request time. The system is designed to refuse or escalate when required context is missing.
In most cases, no. The AI layer sits on top of your existing modules and business logic. We work with your current custom fields, workflows and approval chains rather than requiring a rewrite.