Data analytics
- Automated data extraction
- Cross-system aggregation
- Real-time dashboards
- Live KPI monitoring
The platform
One unified AI-first platform
ANVIXA.ai connects AI agents to the systems, data and processes your enterprise already runs, turning fragmented operations into intelligent, connected and increasingly autonomous workflows.
Capabilities
What the platform gives you
Five layers that together let agents do real work inside a governed enterprise environment.
How a task runs
From trigger to verified result
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.
- 01
Input layer
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.
- 02
Processing layer
Parallel agents analyse incoming data, interpret contextual nuance and formulate action plans, using machine learning to predict the optimal execution path.
- 03
Execution layer
Each agent performs its assigned task: entering data into forms, extracting information, running workflows or interacting with elements across multiple isolated tabs simultaneously.
- 04
Monitoring layer
A self-correcting supervisor oversees the whole operation, verifying task quality, ensuring accuracy and addressing anomalies before they become failures.
Architecture
The full stack, presentation down to your systems
A multi-agent system that runs locally in the browser, with shared services cutting across every layer.
Presentation
Side panel UI with chat interface, live state updates and conversation history; an agent launcher for new tasks, sessions and templates; an options page for model settings and configuration.
Extension infrastructure
A background service worker acts as the central orchestrator, handling message routing, task management, tab management, event handling and connection management.
Agent runtime
The core multi-agent system. An executor orchestrates agents and manages the task lifecycle; a planner agent understands the task, creates the plan, self-corrects and breaks down steps; a navigator agent executes it against live pages.
Model providers
Multi-model support across Anthropic Claude, OpenAI, Google Gemini, Ollama local models and any OpenAI-compatible endpoint.
Browser APIs
Tabs, DOM, cookies, storage and navigation, the browser capabilities the agent uses to act on a page the way a person would.
Target applications
SAP Fiori, ERP systems, websites, internal portals and any other URL-based application your teams already work in.
Shared services
Cross-cutting services: storage and settings sync, action caching, LLM observability and tracing, usage analytics, resource monitoring and RPA integration for hybrid automation.
- Storage
- Action cache
- Tracing
- Analytics
- RPA bridge
Analytical layer
Agents that read the data, not just move it
Beyond transaction handling, the platform forecasts, detects and reports, turning the same data flow into decision support.
AI forecasting
- Demand and sales forecasting
- Cash-flow prediction
- Inventory optimisation
- Trend and pattern detection
Predictive insights
- Anomaly and risk detection
- Supplier performance scoring
- Churn and delay prediction
- What-if scenario modelling
Smart reporting
- Auto-generated reports
- Natural-language summaries
- Proactive exception alerts
- Decision recommendations
On your terms
Your model. Your data. Your systems.
Bring your own model
Connect any LLM API: Claude, OpenAI, Gemini, Ollama or a local OpenAI-compatible model. Your keys, stored locally, never shared.
Bring your own data
Agents run inside your browser session. Data never leaves it for an external server, so processing stays where your governance already applies.
Bring your own systems
Any URL-based platform works: SAP, Salesforce, Odoo, Zoho, internal portals, government sites and vendor apps. No fixed integration list.
Go deeper
Explore the platform
Browser Agent
The agent that sits in your browser and acts on any website, with no coding required.
Agent orchestration
MCP server, guardrails, the agent harness, token optimisation and agent loops.
Integrations
SAP, Salesforce, Odoo, Zoho and any URL-based platform you already run.
Security & governance
Information security management, data protection readiness and runtime guardrails.
Book a session
See the platform on your stack
Book a session and we will run agents against your actual systems: no setup needed on your side.