Katonic
2 known investors
Katonic provides a platform for building AI agents, offering five build paths ranging from no-code wizards and plain-English creation to visual workflow design, full SDK access, and importing agents from external frameworks. It targets teams developing and deploying AI agents across frameworks such as LangGraph, CrewAI, and ADK.
Also known as Katonic AI Β· Katonic Pty Ltd Β· Katonic.ai
Founders & leadership

Investors Β· 2
Also in the syndicate Β· 1
Company profile
researched Aug 2026Katonic AI (Katonic Pty Ltd) develops an enterprise platform for building and operating AI systems inside a customer's own infrastructure, positioned around data sovereignty. The current product, Katonic v7.0, is organised into three surfaces: Studio, where teams build agents through five paths ranging from a no-code guided wizard and conversational AI builder to a visual workflow DAG designer, a code builder and a bring-your-own-agent portal for frameworks such as LangGraph, CrewAI and ADK; Workroom, an employee-facing environment combining a generalist agent, specialist agents, enterprise search across more than 100 sources, permission-aware retrieval and citations; and Control Room, an operations console for model deployment and fine-tuning, GPU pooling and MIG slicing, guardrails, per-agent cost tracking, audit trails and RBAC. The platform ships with 80-plus pre-built agents supplied with source code, 240-plus governed MCP tool servers, and an AI gateway routing to 2,600-plus models. Deployment targets include on-premises, private cloud, hybrid and air-gapped environments, with zero data egress claimed and ISO 27001 certification stated.
The company's earlier and still-documented layer is the Katonic MLOps Platform, a collection of cloud-native tools spanning data exploration, feature preparation, model training and tuning, serving, testing and versioning, unified under a single UI and pipeline system built on containers and Kubernetes for portability, reproducibility and scalability. It supports distributed training environments on-premises or in cloud, stacks including distributed TensorFlow, Apache Spark and Python/R toolkits, a model registry for CI/CD, source control integration with GitHub and BitBucket, autoscaling and load-balanced endpoint deployment, and prebuilt or custom application images. On top of the MLOps foundation ran an enterprise generative AI product, Katonic Playground, giving customers access to around 90 large language and foundation models to evaluate before selecting one for application development.
Katonic describes two commercial pathways: a Sovereign AI Factory for enterprises developing, training and managing custom AI solutions and autonomous agents, and a Sovereign AI Cloud aimed at MSPs, telecom operators and cloud service providers converting existing infrastructure into AI cloud services.
Founding story
Katonic was founded in Sydney in 2020 by Prem Naraindas, described as an enterprise AI veteran and experienced technology entrepreneur, who serves as Founder and Chief Executive Officer. Operations began during the pandemic, and the founders bootstrapped the business with a strict focus on cost for its first two years before raising outside growth capital.
Business model
Katonic licenses proprietary installed software to enterprise customers under a master subscription agreement, with orders defining a subscription term and a scope of use covering users, copies and instances, plus optional professional services such as training, enablement, consulting and support. The software is licensed for installation and use on systems under the customer's control. Katonic also authorises partners to resell all or part of the software.
Subscription licensing of the platform under per-order subscription terms and scope-of-use limits, complemented by professional services engagements; the company contrasts its fixed infrastructure-based pricing with hyperscalers' usage-based models.
Traction
The company reports production deployments in 11 countries, with named government and enterprise references including ePLDT's Pilipinas AI national sovereign AI stack, Saudi Arabia's MODON AI Center of Excellence, KAUST with more than 1,000 users, e& and the Government of Maharashtra. Its Google Cloud case study cites release cycles shortened from monthly to fortnightly, a 25% increase in customer satisfaction ratings, platform installation in a customer's Google Cloud environment in 40 minutes, and a 70% reduction in customer infrastructure costs. The GitHub organisation hosts 15 repositories, the most starred being explainit with 32 stars.
Latest developments
Katonic markets version 7.0 of its platform as a sovereign agent platform with three surfaces, 80-plus pre-built agents, 240-plus governed MCP tool servers and an AI gateway to 2,600-plus models, stating ISO 27001 certification and air-gapped readiness, and describing production use across 11 countries. Recent named engagements include the Pilipinas AI national sovereign AI stack with ePLDT in the Philippines and Saudi Arabia's MODON AI Center of Excellence.
βΈFull profile β market position, technology, go-to-market, geography, history, risks & controversies
Market position
Katonic positions itself against hyperscaler agent platforms (AWS, Azure, GCP) on data location, jurisdictional sovereignty, predictable cost, absence of vendor lock-in, source-code access and support for open agentic frameworks. It was included in Everest Group's MLOps Products PEAK Matrix 2022 β reported as the only Asia-Pacific company featured β and received a Frost & Sullivan Best Practices Entrepreneurial Company of the Year award in the APAC MLOps industry.
Deployment entirely within the customer's perimeter with zero data egress and air-gapped support; full source code for the 80-plus bundled agents so customers can inspect, modify and extend them; Kubernetes-native portability and open-standard framework support rather than proprietary services; a single platform spanning builder, employee and operator surfaces; and fixed infrastructure-based cost rather than consumption pricing.
Technology
Kubernetes-native architecture using containers for portability and reproducibility across local, on-premise, hybrid and cloud clusters. The platform integrates NVIDIA technology, including KAI scheduling for GPU workloads (guaranteed production versus preemptible test), NeMo NIMs within a three-layer guardrail stack alongside NAT instrumentation and a governance proxy, GPU pooling and MIG slicing. It supports open agent frameworks (LangChain, CrewAI, AutoGen, LlamaIndex, LangGraph, ADK), an AI gateway routing to 2,600-plus models including GPT-4, Claude, Gemini and Llama, MCP tool servers, and a NAT packaging format common to all build paths. The MLOps layer covers pipelines, model registry, versioning, monitoring and scalable endpoint serving with autoscaling. Historically the company migrated off self-run infrastructure to Google Cloud, using Google Kubernetes Engine, Vertex AI, PaLM 2, Compute Engine, Cloud Storage and BigQuery, integrated through APIs.
Go-to-market
Direct enterprise and government sales via demo booking and sales contact on the company site, supported by an authorised reseller partner channel and a network of technology, implementation, compute, cloud, software and services partners. Katonic works closely with cloud and silicon vendors, including a published Google Cloud customer case study and NVIDIA-based infrastructure, and delivers national-scale platforms with telecom partners such as ePLDT. It publishes developer documentation and open-source repositories on GitHub, and cites analyst recognition and ISO 27001 certification in its positioning.
Enterprises, national governments and public-sector bodies, telecom operators, managed service providers and cloud service providers, plus research and education institutions. Named customers include ePLDT (Philippines), MODON industrial cities authority and KAUST (Saudi Arabia), e& / Etisalat Group (UAE) and the Government of Maharashtra (India). Earlier MLOps and generative AI work spanned property, insurance, banking and healthcare, with users including data scientists and data engineers.
Geography
Founded in Sydney, Australia, with a presence recorded in Sydney, Singapore and India, and engineering teams distributed across India. The company describes a global hub in Dubai. Customers and deployments span the Philippines, Saudi Arabia, the United Arab Emirates, India and, in total, 11 countries.
History
After bootstrapping from 2020, Katonic built the Katonic MLOps Platform for data scientists and data engineers taking machine learning from research to production, and was included in Everest Group's MLOps Products PEAK Matrix in 2022. In December 2022 it raised a $1.6 million pre-Series A round led by Artesian with support from Boab AI, intended to expand products and services, hire and grow its customer base. The company completed a migration from self-managed infrastructure to Google Cloud in early 2023 and layered the Katonic Playground generative AI product, offering access to about 90 large language and foundation models, on top of its MLOps foundation. Its master subscription agreement carries an effective date of 4 April 2023 under the entity Katonic Pty Ltd. It was named Frost & Sullivan Entrepreneurial Company of the Year for 2023 in APAC MLOps. The company subsequently repositioned around sovereign AI, established a global hub in Dubai, delivered the Pilipinas AI stack with ePLDT and the MODON AI Center of Excellence, and now markets Katonic v7.0, an agent platform comprising Studio, Workroom and Control Room.
Risks & controversies
Metrics such as the 11 countries in production, zero data egress, agent and model counts and the reported cost and satisfaction improvements are self-reported by the company or drawn from a vendor-published case study. The business is concentrated in government and large-enterprise deals in the Middle East, Southeast Asia and India, and depends on partner infrastructure such as NVIDIA and Google Cloud.
Compiled by commissioned research from 8 cited public sources β announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed β not independently audited.
Timeline Β· 7
launches, deals, and filingsKatonic lists Saudi Arabia's MODON AI Center of Excellence among its critical infrastructure projects; MODON, the Saudi authority for industrial cities, is named as a customer.
Katonic AI's sovereign AI platform powers Pilipinas AI, described as the Philippines' first sovereign AI solutions stack, launched in partnership with ePLDT.
Katonic markets platform version 7.0 comprising Studio, Workroom and Control Room, with 80+ pre-built agents, 240+ governed MCP tool servers and an AI gateway routing to 2,600+ models.
Katonic received the Frost & Sullivan Best Practices Entrepreneurial Company of the Year Award in the APAC MLOps industry.
Katonic.ai completed its migration from self-run infrastructure to Google Cloud in early 2023, using Google Kubernetes Engine, Vertex AI, PaLM 2, Compute Engine, Cloud Storage and BigQuery, and published a Google Cloud customer case study.
Sydney-based MLOps platform startup Katonic.ai announced a $1.6 million pre-Series A round led by Artesian with support from Boab AI, to expand products and services, hire talent and grow its customer base.
$1.6M source β
Katonic.ai was included in Everest Group's MLOps Products PEAK Matrix Assessment 2022, reported as the only Asia-Pacific company featured.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
βΈResearch sources Β· 8
primary sources listed
- Katonickatonic.ai Β· web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Katonic do?
- Katonic AI sells a Kubernetes-native platform for building, running and governing AI agents inside an enterprise's own infrastructure.
- Who founded Katonic?
- Katonic was founded by Prem Naraindas.
- Who are Katonic's investors?
- Katonic's investors include Artesian.