EGI

Enterprise General Intelligence

Helping enterprises go AI-Native with highly accurate tool calling

The framework

EGI has built a production-ready framework for enterprise-grade accurate tool calling. Continuous model evaluation, function-specific benchmarks, and neuro-symbolic architecture ensure reliable, auditable AI operations.

Continuous evaluation

Hundreds of models evaluated against function-specific tool calling benchmarks

Neuro-symbolic architecture

Neural understanding meets symbolic precision for enterprise reliability

Production-ready

HIPAA, SOC 2, and Google CASA verified for enterprise deployment

What is AI-Native?

AI-Native enterprises run core operations on AI agents that interact with real systems through accurate tool calling. AI isn't a feature—it's the foundation of how work gets done.

AI-first operations

Enterprise functions operate through AI agents that call tools, execute workflows, and interact with systems autonomously.

Highly accurate tool calling

Agents call the right tools with the right parameters, reliably executing actions across CRM, ERP, databases, and APIs.

Production-ready reliability

Every tool call is accurate, auditable, and compliant. Enterprise-grade reliability from day one.

Continuous improvement

Tool calling accuracy improves continuously. New models are evaluated. Performance data drives optimization.

The problem

Most AI tool calling is inaccurate, unreliable, and not production-ready.

AI agents fail in production because they call the wrong tools, use incorrect parameters, or make errors that break workflows. Generic tool calling doesn't work for enterprise systems that require precision, auditability, and compliance.

Why tool calling accuracy matters

• Wrong tool calls break production workflows
• Inaccurate parameters cause system errors
• Unreliable execution prevents AI-Native transformation
• Enterprise systems require precision and auditability

The solution

EGI provides highly accurate, function-specific tool calling that makes AI production-ready.

We continuously evaluate hundreds of models against enterprise-function-specific tool calling benchmarks. The best-performing models are selected and deployed with neuro-symbolic architectures that ensure accuracy, reliability, and full auditability.

Function-specific evaluation

Tool calling accuracy measured for each enterprise function

Continuous model selection

Best-performing models selected for production deployment

Neuro-symbolic architecture

Ensures accurate, auditable, enterprise-grade execution

How we enable accurate tool calling

Neuro-symbolic architecture ensures highly accurate tool calling for enterprise systems.

Neural layers understand natural language intent and context. Symbolic layers translate understanding into precise tool calls with correct parameters. The combination delivers the accuracy and reliability required for production AI-Native operations.

Neural layer

Understands natural language, extracts intent, and maintains context across interactions.

Handles ambiguity, reasoning, and complex understanding.

Symbolic layer

Translates understanding into precise code and structured execution.

Ensures accuracy, auditability, and deterministic outcomes.

Production-ready tool calling

Our neuro-symbolic architecture is refined for enterprise tool calling across finance, operations, purchasing, warehouse, retail, revenue, and product functions. Every tool call is accurate, auditable, and compliant.

Highly accurate
Correct tools and parameters
Fully auditable
Complete tool call traceability
Enterprise compliant
Regulatory requirements met

How we select the best tool calling models

We continuously evaluate hundreds of models against function-specific tool calling benchmarks. The best-performing models are selected and deployed with neuro-symbolic architectures for production use.

Tool Calling Model Selection Pipeline
Models
Hundreds of frontier + open models
Tool Calling Benchmarks
Function-specific accuracy evaluation
Model Selection
Best tool calling accuracy
Production Agents
AI-Native operations

What we measure

Tool calling accuracy is measured across multiple dimensions that matter for enterprise AI-Native operations:

Tool selection accuracy
Parameter correctness
Multi-step execution
Context retention
Error recovery
Compliance under constraints

AI-Native agents

Flagship agents powered by highly accurate tool calling. Each agent operates AI-Natively, calling tools and executing workflows with enterprise-grade reliability.

Agent #0: Bruce
Revenue

Autonomous go-to-market system for enterprise sales. Powered by highly accurate tool calling. Handles prospecting, outreach, discovery, evaluation, closing, retention, and revenue operations through precise CRM and system interactions.

Capabilities
• Autonomous outbound engine
• Deal rigor & value intelligence
• Rev Ops analysis with Python code generation
• Pipeline revival & expansion
View Bruce →
Agent #1: Alfred
Product

Autonomous product development agent. Powered by highly accurate tool calling. Executes multi-step technical tasks with precise tool usage, high context retention, and reliable outcomes.

Capabilities
• Multi-step execution
• Context retention across workflows
• Product development automation
• Technical task execution
View Alfred →

Security & Compliance

Built for regulated, enterprise environments.

HIPAACOMPLIANT
HIPAA Compliant
Healthcare-ready for PHI
SOC 2TYPE II
SOC 2 Type II
Third-party attested controls
CASAVERIFIED
Google CASA Verified
Enterprise security standards

Fully Isolated Customer Data

All customer data is fully isolated with logical and physical separation. Data is never used for model training.

Full Auditability

Every action is fully auditable via real-time audit logs for complete compliance visibility.

AI-Native outcomes

Enterprises that go AI-Native with EGI achieve production-ready AI operations, reliable tool calling, and continuous improvement.

Production-ready AI

Highly accurate tool calling enables reliable AI operations in production environments from day one.

Enterprise reliability

Every tool call is accurate, auditable, and compliant. Enterprise-grade reliability built in.

Continuous improvement

Tool calling accuracy improves continuously. New models are evaluated. Performance gets better over time.

Go AI-Native

Start your AI-Native transformation with highly accurate tool calling that makes AI production-ready.

Questions? ops@egi.sh