I founded Orchidea to close the gap between AI hype and real-world execution. While many still treat AI as a buzzword, we treat it as infrastructure built to simplify operations, drive revenue, and solve practical problems.

The Modern AI Acceleration Timeline

2012 — 2030+

Deep Learning Breakthrough

AlexNet wins ImageNet. Deep neural networks outperform traditional models for the first time at scale. Modern AI acceleration begins.

2012

Deep Learning Breakthrough

AlexNet wins ImageNet. Deep neural networks outperform traditional models for the first time at scale. Modern AI acceleration begins.

2012

Transformer Architecture Introduced

Google publishes the “Attention Is All You Need” paper. Transformers become the foundation of today’s large language models.

2017

Transformer Architecture Introduced

Google publishes the “Attention Is All You Need” paper. Transformers become the foundation of today’s large language models.

2017

GPT-3

Large language models demonstrate emergent reasoning and text generation at scale. AI becomes commercially viable for APIs.

2020

GPT-3

Large language models demonstrate emergent reasoning and text generation at scale. AI becomes commercially viable for APIs.

2020

ChatGPT Launch

AI reaches mass adoption. 100M+ users in months. AI shifts from research to mainstream utility.

Nov 2022

ChatGPT Launch

AI reaches mass adoption. 100M+ users in months. AI shifts from research to mainstream utility.

Nov 2022

Multimodal AI & Enterprise Adoption

Models begin processing text, images, code, and documents together. Businesses move from experimentation to integration.

2023

Multimodal AI & Enterprise Adoption

Models begin processing text, images, code, and documents together. Businesses move from experimentation to integration.

2023

Agent Frameworks & Function Calling

AI systems start interacting with tools, CRMs, browsers, and APIs. Early-stage autonomous workflows emerge.

2024

Agent Frameworks & Function Calling

AI systems start interacting with tools, CRMs, browsers, and APIs. Early-stage autonomous workflows emerge.

2024

Operational AI Era

AI becomes embedded into internal processes — lead qualification, scheduling, analysis, support, and automation. Less novelty, more execution.

2025

Operational AI Era

AI becomes embedded into internal processes — lead qualification, scheduling, analysis, support, and automation. Less novelty, more execution.

2025

AI as Standard Business Infrastructure

AI integrated into most SaaS platforms by default. Verticalised industry-specific models become the new standard.

2026-2027

AI as Standard Business Infrastructure

AI integrated into most SaaS platforms by default. Verticalised industry-specific models become the new standard.

2026-2027

Early Autonomous Business Units

Agent systems manage multi-step workflows independently. Hybrid human-AI teams become standard. AI productivity impact reaches macroeconomic scale.

2028

Early Autonomous Business Units

Agent systems manage multi-step workflows independently. Hybrid human-AI teams become standard. AI productivity impact reaches macroeconomic scale.

2028

Intelligence as a Layer Across Everything

AI operates at domain-expert levels across major industries. Persistent agents retain deep organisational context. Knowledge work restructures around supervised AI systems.

2030

Intelligence as a Layer Across Everything

AI operates at domain-expert levels across major industries. Persistent agents retain deep organisational context. Knowledge work restructures around supervised AI systems.

2030

Industries Served

Dental & Healthcare

E-commerce
Local Service Businesses
Consultants & Coaches
Real Estate & Construction
Consumer AI Products
Investment & Finance
Digital Marketing Agencies

Software & SaaS Companies

Education

Hospitality & Luxury

HR & Recruiting

Clients

MeetLyra.ai (internal product)

Aura Med Studio

Ridgeline Roofing

Clearflow Plumbing

Bloom Social

Northstar Contractors

Greenscape Landscaping

Greeff Christies

Peakpoint HVAC