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Argus AI Engine

The AI That Actually
Understands ERP

Argus is an 8-billion parameter LLM engineered from the ground up for Oracle, Workday, and enterprise applications. It doesn't just automate—it reasons, troubleshoots, and orchestrates with deep domain expertise.
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81.4%
Benchmark Accuracy
8B
Parameters
29X
More Efficient

Trusted by world-class enterprises

Research Breakthrough

An 8B Model Matching 235B Performance

Through domain-adaptive training and curriculum learning, Argus achieves state-of-the-art performance in ERP tasks—outperforming GPT-4.1 while being 29× more efficient than comparable large models.

Built for Enterprise Complexity

Unlike general-purpose LLMs, Argus understands ERP-specific concepts, workflows, and the multi-step reasoning required for real-world operations.

Domain-Specific Knowledge

Trained on 1.5B tokens of ERP-specific content including Oracle documentation, API references, database schemas, and expert knowledge.
1.5B
Training Tokens

Multi-Step Reasoning

Advanced Chain-of-Thought reasoning adapted for ERP contexts—analyzing workflows, troubleshooting errors, and orchestrating cross-module processes.
81.4%
Benchmark Accuracy

Agentic Capabilities

Autonomous monitoring, exception handling, and workflow orchestration. Proactively flags issues and triggers downstream processes.
24/7
Autonomous Operation

Conversational Intelligence

Natural instruction-following and multi-turn conversations. Understands context and provides structured, actionable guidance.
92.3%
Relevance Score
Whitepaper
AI you can trust · For CIOs & IT leaders

The Responsible Path to Agentic AI for Enterprise Apps

A practical framework for deploying autonomous AI agents inside Oracle, SAP, Workday, and Salesforce — without sacrificing governance, auditability, or control.
  • Guardrails & human-in-the-loop patterns
  • Risk tiers for autonomous actions
  • Audit-ready agent traceability
  • 90-day rollout blueprint
Download the whitepaper
PDF · 18 pages · 12 min read
Training Methodology

Three-Pillar Training Recipe

Our sequential training strategy combines domain-adaptive pre-training, curriculum learning, and preference optimization.

Phase 1

Domain-Adaptive Pre-Training

Exposing the model to ERP-specific concepts while preserving broad language capabilities through strategic data mixing.
  • 1.5B tokens of curated ERP content
  • 70:30 domain-to-general ratio
  • Extended 40K token context
  • Multi-GPU clustering pipeline

Phase 2

Multi-Phase Supervised Fine-Tuning

Progressive curriculum learning from basic instruction-following to advanced reasoning and tool integration.
  • 230K instruction-response pairs
  • Curriculum learning approach
  • Multi-turn conversation synthesis
  • Cross-module integration scenarios

Phase 3

Reasoning Enhancement

Advanced preference optimization using expert-curated Chain-of-Thought traces for complex analytical tasks.
  • 17K Oracle reasoning traces
  • Direct Preference Optimization
  • Self-correction capabilities
  • Adaptive reasoning patterns
Benchmark Results

Validated on
10,000 ERP Tasks

Comprehensive evaluation across finance, supply chain, HR, and cross-module integration scenarios.
81.4%

Overall Accuracy

Matches 235B parameter models
92.3%

Domain Relevance

Highest domain-specific score
81.2%

Completeness

+11.5% vs baseline
82.5%

Helpfulness

Production-ready utility

Model Comparison (ERP Benchmark)

Argus-8B
8B
Ours
81.4%
GPT-4.1
Large
78.4%
Qwen3-235B
235B
81.4%
Qwen3-8B (Base)
8B
75.9%
*Evaluated on 10,000 ERP tasks across diverse functional domains
Domain Expertise

Deep Knowledge Across ERP Modules

Trained on Oracle Fusion, Workday, and enterprise documentation covering all major functional areas.

Completeness

General Ledger
Accounts Payable
Accounts Receivable
Fixed Assets
Cash Management

Supply Chain

Procurement
Inventory
Order Management
Manufacturing
Logistics

Human Capital

Core HR
Payroll
Talent Management
Workforce Management
Benefits
Plus: Project Management, Risk Management, EPM Cloud, Sales, Services, Marketing, and cross-module integrations
Whitepaper
Featured Whitepaper · The new ERP operating model

The Future of ERP Is Agentic

How autonomous agents are reshaping testing, change, and operations across the ERP lifecycle — and what leading enterprises are doing now to stay ahead.
  • The shift from copilots to agents
  • Reference architecture for agentic ERP
  • Benchmarks from 1,500+ ERP teams
  • 90-day rollout blueprint
Download the whitepaper
PDF · 24 pages · 15 min read

Why Argus Works

Key insights from our research that make domain-specialized AI possible.

Curriculum Learning > Mixed Training

Progressive capability development (+7.5% improvement) outperforms training on all data types simultaneously.

Full Fine-Tuning for Knowledge Domains

Parameter-efficient methods fall short. Complex enterprise domains require comprehensive model adaptation.

Balanced Data Prevents Forgetting

70:30 domain-to-general ratio maintains broad capabilities while enabling deep specialization.

Smaller Models Can Match Giants

Domain-adaptive training compresses specialized knowledge into efficient 8B models suitable for production.
Experience Argus In Action
See how domain-specialized AI transforms ERP testing, configuration, and user adoption.
Request a Demo
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