Höganäs
AI ERP- Industry
- Metallurgy & materials
- Solution
- Predictive operations and production schedule optimisation
- Also
- Optimised furnace schedules
Connect people, data and the systems you already run.
Animated example: agents assemble the ANVIXA mark and flow into the Run button. A task typed in plain English then runs across SAP, email and CRM, and each step reports back as done.
Trusted across enterprise and government






Every day, teams move data between platforms that were never designed to talk to each other. That handoff is where the time, the errors and the cost live.
Hours spent on repetitive clicks, form fills and data exports every single day.
Manual steps introduce mistakes: wrong data, missed fields, inconsistent outputs.
As the business grows, manual effort multiplies. You cannot hire your way out of it.
Teams lose productivity constantly switching between apps, portals and platforms.
The handoff between systems is where work slows down. ANVIXA.ai puts intelligent agents in that handoff, so the work moves itself: governed, auditable and inside the tools your teams already use.
ANVIXA.ai connects agents to the systems, data and processes enterprises already run, turning fragmented operations into intelligent, connected and increasingly autonomous workflows.
A multithreaded core where dozens of agents work in parallel, each completing a dedicated task, eliminating the sequential bottlenecks of single-threaded automation.
The agent harness manages concurrent execution, task scheduling, retries, failure recovery and performance monitoring across every running agent.
An MCP server connects agents to ERP, CRM, databases and internal systems through one standardised layer: no bespoke connector per system.
Role-based access control, workflow approvals, data protection and execution policies keep every agent action compliant and policy-aware.
Agents do not just move data. They forecast demand, detect anomalies, score suppliers and generate reporting in natural language.
Every task follows the same four layers. The monitoring layer is what separates this from scripted automation: a supervisor watches the work and corrects it rather than failing silently.
Browser tasks, triggers from external systems, explicit instructions or predefined business processes initiate actions: from a scheduled event to a user request or a data change in a connected system.
Parallel agents analyse incoming data, interpret contextual nuance and formulate action plans, using machine learning to predict the optimal execution path.
Each agent performs its assigned task: entering data into forms, extracting information, running workflows or interacting with elements across multiple isolated tabs simultaneously.
A self-correcting supervisor oversees the whole operation, verifying task quality, ensuring accuracy and addressing anomalies before they become failures.
The agent sits in your browser and works the screens your team already uses. Any URL-based platform works: SAP, Salesforce, Odoo, Zoho, internal portals, government sites and vendor apps. No fixed integration list.
Business users write the steps in plain English, save, and click run. New agents take minutes, and existing ones are edited in seconds by changing the text. No IT ticket, no scripts.
Connect any LLM API: Claude, OpenAI, Gemini, Ollama or a local OpenAI-compatible model. Your keys, stored locally, never shared.
The platform adapts to the stack you have rather than asking you to move to ours.

Connect any LLM API: Claude, OpenAI, Gemini, Ollama or a local OpenAI-compatible model. Your keys, stored locally, never shared.

Agents run inside your browser session. Data never leaves it for an external server, so processing stays where your governance already applies.

Any URL-based platform works: SAP, Salesforce, Odoo, Zoho, internal portals, government sites and vendor apps. No fixed integration list.
The same agent runtime, governed the same way, applied to the operations each sector actually runs.









Ports run on documents moving between authorities, terminals, shipping lines and customs. Agents work those handoffs directly, so a container does not wait on a person to rekey a manifest.
Beyond transaction handling, the platform forecasts, detects and reports, turning the same data flow into decision support.

Programmes delivered across manufacturing, engineering and processing, with results measured in the numbers operations teams track.
Seconds instead of minutes. Hours of work completed in a single click.
Every step executed exactly as defined, without the drift of manual repetition.
Volume grows without headcount growing alongside it.
Business users write the steps in plain English. No IT ticket, no scripts.
Data never leaves your session. No external servers in the processing path.
New agents in minutes, and existing ones edited in seconds by changing the text.
No infrastructure to provision and no development cycle to wait through. Install, connect a model, and describe what you want done in plain English.
Add the extension to your browser. Under sixty seconds, no infrastructure to provision.
Open settings and paste your API key. OpenAI, Anthropic Claude, Gemini and local models are all supported.
Write the steps in plain English, save, and click run. Your first automation is live immediately.
Book a session and see agents run against your actual systems: no commitment, and nothing to set up on your side.