Genetica.ai

What Genetica.ai does

Genetica.ai is a privately held enterprise AI platform company founded in 2017 and headquartered in Sydney, Australia, with a North American head office in Chicago, Illinois. The company sells the Cortex Cognitive AI Platform, a cloud-based, no-code end-to-end environment for developing, deploying, and operationalizing predictive AI applications. The platform is built on a fully open-source technology stack — TensorFlow for ML, MongoDB for the data tier, Kafka for streaming, and Node.js for the application layer — architected as a self-organizing, linearly scalable cluster of stateless computing nodes with language-agnostic APIs. Core product modules include Guardian for autonomous model operationalization and role-based alerting, Graphiti for no-SQL cross-database querying, and an Operational Research module for optimization use cases.

The platform supports multiple AI modalities (predictive analytics, anomaly detection, NLP, recommendation, optimization, and autonomous agents) and ingests structured data, time-series, images, and text from internal systems and real-time IoT feeds. Genetica positions itself as eliminating the dependency on scarce data science talent by allowing non-technical business stakeholders to build Neural Networks, Decision Trees, and Survival Analysis models via drag-and-drop workflows.

The company operates a subscription SaaS model governed by a Master Subscription and Services Agreement, with pricing not publicly disclosed. Go-to-market is direct enterprise field sales targeting four primary verticals — healthcare, utilities, accounting/finance, and cybersecurity — concentrated in the USA and Australia/ANZ regions. Distribution is augmented by a 2020 joint venture with Aerinet Solutions Corporation that delivers the PwrMetrix ecosystem to 200+ electric utilities, and a 2020 research partnership with Yale University on genomic AI for aneurysm patient identification. No institutional funding, revenue figures, or ownership structure beyond the founding team are disclosed in the available source material.

Name

Genetica.ai

Legal name

Genetica Holdings Pty Ltd

Website

https://genetica.ai

Company type

Private

Founded year

2017

Operating status

Operating

Headcount range

1–10 employees

Short description

Genetica.ai provides a cloud-based, no-code enterprise AI platform (Cortex) for building, deploying, and operationalizing predictive models, serving healthcare, utilities, finance, and cybersecurity customers in the USA and Australia/ANZ via subscription.

Ownership category

akta.pro rank

Product category

Enterprise AI / AutoML Software Platforms

NAICS

Software Publishers (5132), Software Publishers (51321)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)

akta.pro secondary industries

AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ), Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)

Keywords

• No-code AI platform
• Predictive analytics software
• AutoML lifecycle management
• Enterprise MLOps
• Autonomous AI agents

Headquarters

HQ city

Sydney

HQ country

Australia

HQ region

Oceania

Offices3 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Operations, Infrastructure

Revenue model

1. Cortex Cognitive AI Platform Subscription: Access to and use of the Genetica AI Application Platform and Genetica Applications is governed by a Master Subscription and Services Agreement, indicating a recurring subscription-based revenue model. Platform features including AI model development, deployment, and operationalization are delivered as a cloud-based SaaS solution. Professional services may also be offered alongside subscriptions.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels6 records

Core offering

Genetica.ai sells the Cortex Cognitive AI Platform, a cloud-based, no-code end-to-end AI development and lifecycle management solution that enables enterprises to build, deploy, and operationalize predictive AI models without R or Python programming. The platform bundles the Guardian autonomous agent module, the Graphiti no-SQL query engine, and an Operational Research module, and is delivered through Master Subscription and Services Agreements to enterprises in healthcare, utilities, accounting/finance, and cybersecurity.

Product overview

Genetica.ai offers the Cortex Cognitive AI Platform as its core unified product, a cloud-based end-to-end AI development and lifecycle management solution. The platform integrates three key modules: Guardian for autonomous operationalization and agent management, Graphiti for longitudinal meta-database querying without SQL, and an Operational Research module for mathematical optimization. Through a joint venture with Aerinet Solutions, the company also delivers PwrMetrix, a SaaS ecosystem for power utilities. The platform operates on a no-code, drag-and-drop principle, reducing AI deployment cost and time by a factor of ten.

Differentiator

Problem solved

Functional benefit

Products and services

• Cortex Cognitive AI Platform Cloud-based end-to-end AI development and lifecycle management platform with a no-code, drag-and-drop interface for building, testing, deploying, and operationalizing AI models including Neural Networks, Decision Trees, and Survival Analysis. Manages the complete ML lifecycle for enterprise organizations without requiring R or Python programming skills.
• Guardian Module Autonomous agent module that sits on top of deployed models, services, components, rules, and predictors to determine what needs to be done and handles how and by whom internally. Operationalizes AI models with role-specific alerts and recommendations triggered by real-time IoT and enterprise data feeds for different user personas.
• Graphiti (Longitudinal Metadatabase Query Engine) Intuitive longitudinal metadata database query engine that allows business stakeholders to run queries across multiple data repositories without prior knowledge of database structures or SQL coding, removing the data engineering dependency for analytics.
• Operational Research Module Operational research capability for developing models that optimize the deployment of scarce resources, including route optimization of vehicle movements, resource scheduling during equipment disruptions, production planning, inventory management, and supply chain logistics.
• PwrMetrix SaaS ecosystem created through the Aerinet-Genetica joint venture that delivers AI-powered power utility analytics combining real-time benchmarking, data analytics, outage cost analysis, and utility social networking for electric utilities' reliability, logistics, corporate readiness, and strategic planning needs.

Quantifiable outcome

• Reduces AI deployment cost and time by a factor of ten
• +3 more outcomes

Named customers2 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability10 records

Feature8 records

Partnerships

Three partnerships are on record, tiered core and minor.

• Yale UniversitycoreStrategic or Co-development Partner · 2 September 2020Genetica and Yale University announced a three-year collaborative research project in September 2020 to identify distinguishing genes that characterize potential aneurysm patients. Yale provides de-identified RNA expression analysis results from its West Campus sequencing lab, while Genetica provides its state-of-the-art AutoML platform and AI engineers for clustering analysis. This partnership applies Genetica's AI capabilities to healthcare/genomics research at one of the world's leading research universities. Contact: Dr. Farhad Abar, Chief Architect.
• Aerinet Solutions CorporationcoreStrategic or Co-development Partner · 27 February 2020Aerinet Solutions Corporation (founded 2011) and Genetica Corporation announced a joint venture on February 27, 2020 to redefine power utilities' 24/7 operations and business intelligence. The JV combines Aerinet's PwrMetrix SaaS ecosystem (real-time benchmarking, data analytics, outage cost analysis, utility social networking) with Genetica's Cortex AI platform. PwrMetrix is currently used by 200+ electric utilities. The partnership was announced at Chicago IL, with Aerinet CEO Alvin Razon and Genetica CEO/Scientist Dr. Farhad Abar leading the JV.
• Navitas ConsultingminorStrategic or Co-development PartnerNavitas Consulting is featured as a partner on the Genetica website. With over 25 years experience and 10+ years in renewables, Navitas is a specialist renewable energy consultancy providing leadership, innovation, and technical skills across the entire renewable lifecycle. They advise developers, asset owners, EPC and O&M service providers through the entire project cycle from development through operations and maintenance. They have over 10GW ($12 Billion+) of renewable projects in Australia. The partnership appears focused on the utilities/energy sector.

Scale indicators3 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• H2O.ai: Provider of open-source and enterprise AutoML platforms (H2O Driverless AI) with similar emphasis on no-code/automated model building, MLOps, and open-source architecture. Comparable to Genetica on technology stack philosophy and target buyer profile.
• DataRobot: Enterprise AutoML and MLOps platform with no-code model development, governance, and deployment across multiple verticals. Directly comparable to Genetica's Cortex platform in target customer (large enterprises) and value proposition (no-code, full-lifecycle AI).
• KNIME: Open-source visual data science and ML platform enabling no-code, drag-and-drop workflow construction across the full analytics lifecycle. Closely comparable to Cortex on the no-code/open-source principles.
• Domino Data Lab: Enterprise MLOps platform with model development, deployment, and governance capabilities targeted at regulated industries. Overlaps with Genetica's enterprise governance, MLOps, and regulated-vertical focus.
• Dataiku: Everyday AI platform offering visual/no-code model development, MLOps, and collaboration across data teams and business stakeholders. Closely aligns with Genetica's enterprise-wide collaboration thesis and vertical-agnostic positioning.
• Alteryx: Analytics automation platform with no-code, drag-and-drop workflow design for data preparation, predictive modeling, and operational deployment. Comparable in targeting line-of-business users who lack deep data science skills.

Broad incumbents

• Databricks: Unified data and AI platform (Lakehouse) with MLflow for MLOps, AutoML, and model serving. Competes in the same end-to-end ML lifecycle space and increasingly targets no-code personas via Databricks Assistant.
• Amazon SageMaker: AWS's end-to-end ML platform covering data labeling, training, AutoML (Canvas), deployment, and MLOps. Represents the default incumbent choice that Genetica must displace in enterprise deals.
• Microsoft Azure Machine Learning: Azure ML provides no-code designer, AutoML, MLOps, and responsible AI tooling integrated with the Microsoft enterprise ecosystem. A broad incumbent against which Genetica's responsible-AI and no-code messaging must differentiate.
• Google Vertex AI: Hyperscaler AI platform offering AutoML, custom training, MLOps, and generative AI tools integrated with Google Cloud. Competes with Genetica for the same enterprise AI workload but at vastly greater scale and as part of a broader cloud portfolio.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks7 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/genetica-ai-solutions

Revenue estimate

Valuation estimate

Number of profiles

Profiles7 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Genetica.ai