The o9 Digital Brain is the platform through which o9 Solutions sells integrated planning software. o9 describes it as a real-time, always-on digital representation of the enterprise that senses changes, simulates outcomes and recommends actions, with three core capabilities: a data and knowledge foundation built on the Enterprise Knowledge Graph, AI, analytics and algorithms, and integrated, end-to-end planning across horizons.[1] o9 describes the platform as cloud-native and says it can run natively on any major cloud provider, and as open and extensible through APIs and a modular architecture.[1] The platform page lists solution use cases and 37 industry labels, which o9 summarises elsewhere as more than 30 verticals.[1][3] This article describes the product structure o9 shows publicly. The commercial terms are in o9 Solutions licensing.
Editions
o9 does not publish editions of the Digital Brain. It publishes a list of solutions and a set of components that run on the platform.
Solution families
The solutions page groups o9 solutions into five families, with the use cases o9 lists under each.[2]
| Family | Use cases listed | Examples |
|---|---|---|
| Supply chain | 13 | AI/ML forecasting, demand planning, demand sensing, multi-echelon inventory optimization, new product introduction planning, production scheduling, supplier collaboration, supplier risk management, supply chain analytics, supply chain control tower, supply chain planning |
| Finance and operations | 4 | Annual operating plan and budgeting, integrated business planning, long range planning, sales and operations planning |
| Commercial and revenue | 7 | Marketing effectiveness and planning, pack price architecture and assortment optimization, price planning and optimization, revenue growth management, strategic portfolio and P&L planning, trade promotion management, trade terms and joint business planning |
| Retail and merchandise | 7 | Allocation and replenishment, assortment planning, commercial and category planning, merchandise financial planning, merchandise planning, retail store forecasting, size and pack optimization |
| Sustainability | 1 | Sustainability and ESG reporting |
The o9 information page gives a shorter list of core solutions, including integrated business planning, sales and operations planning, demand planning, supply chain master planning, supply chain control tower, revenue growth management, merchandise planning and ESG and sustainability planning.[3] Neither page says whether a solution is a separately licensed module, a configuration of the same platform, or a use case within a broader subscription. The catalogue records the pricing factor that o9 names, Solutions deployed, which o9 describes as the “number and complexity” of solutions deployed.[3]
APEX operating model and Post-Game Analysis
o9 presents APEX, short for Agile, Adaptive, Autonomous Planning and Execution, as an operating model that connects decisions across supply chain, commercial, product and P&L domains.[4] The information page dates its launch to March 2026.[3] Within APEX, adaptive learning relies on Post-Game Analytics (PGA), which analyses performance against plan and attributes gaps to decisions and assumptions.[4] o9 also presents Post-Game Analysis as an offer with a request-access form, and states that getting started does not require perfect data: an item master, historical actuals and plan snapshots are generally enough.[13] APEX is described as an operating model and not as a priced module. See Post-Game Analysis (PGA).
o9 Mobile
o9 Mobile is a mobile client of the Digital Brain, available on iOS and Android, with role-based access and real-time data fetching without local storage.[12] o9 illustrates it with use cases for demand planners, supply planners, general managers, store operations managers and key account managers.[12] Whether mobile users count toward the user factor in pricing is not stated. See o9 Mobile.
AI components
o9 describes a spectrum of predictive, prescriptive and generative AI on one platform, with agents that continuously sense, analyze and recommend actions, and says autonomy can range from human-in-the-loop to touchless execution.[5] Four statements bear on licensing.
- Composite agents. In July 2024 o9 announced generative-AI composite agents, built on atomic agents within the Enterprise Knowledge Graph and coupled with large language models, for tasks such as building a forecast or analysing a prior quarter.[6] In January 2025 it reported that it had signed the first commercial engagement of its GenAI offering during 2024.[8] By the 2025 results release, o9 said it had moved multiple AI pilot initiatives into production.[9] See GenAI composite agents.
- Third-party models. o9 said in April 2024 that its AI service uses Microsoft Azure OpenAI Service to translate users’ natural language queries into its integrated business planning language, and to support semantic search and an agent framework.[7] The AI Innovation page says o9 supports multiple LLMs.[5]
- Optimization. In July 2026 o9 said NVIDIA cuOpt, a GPU-accelerated solver, delivered over 10x faster solve times on a large linear programming problem when integrated into the o9 platform on NVIDIA B200 GPU infrastructure, and described a solver-agnostic architecture that lets clients deploy and combine solvers by problem type, scale and performance.[10] The why-choose page also refers to integration of proprietary algorithms in R and Python.[14]
- Data platforms. In May 2026 o9 announced a Connected Application on Snowflake, under which data stored in Snowflake can be used directly within o9 planning models and outputs can be written back to Snowflake.[11] The why-choose page cites more than 1300 data sources and native Hadoop and Hive integration.[14]
None of these statements says whether a customer receives the third-party component under o9’s subscription, needs its own agreement with the provider, or pays for consumption of the component separately. A licence manager should ask for the answer to be written in the order documents, particularly for GPU infrastructure, which o9 mentions only as the platform on which the benchmark ran.[10]
Metrics
The public sources name no AI or agent metric. The pricing factors that o9 lists are users, functions covered, solutions deployed, industry and business complexity and implementation approach.[3] See Number of users and Functions covered.
Counting and floors
No public counting rule exists for solutions, functions or users. The only floor-like statement is that o9 is not typically positioned for small businesses, startups or single-site operations.[3]
Virtualization and partitioning
Not applicable to the SaaS delivery. o9 states that the platform can be deployed across GCP, Azure and AWS.[14]
Cloud and BYOL
No bring-your-own-licence rule is published. The marketplaces and deployment options are covered in o9 Academy, certification and partners.
Out of scope
- The packaging, licence terms and prices of solutions, agents, PGA and o9 Mobile.
- The terms of Microsoft, NVIDIA, Snowflake and other third-party components.
- Performance claims in o9 press releases, which are vendor statements and not entitlements.
- The o9 platform API and platform wiki, which are on a login-only guide portal.