Frequently Asked Questions about DecisionBrain

At DecisionBrain, we implement AI-driven, intelligent decision-support solutions that allow organizations to reach operational excellence by improving their efficiency and competitiveness. Our modular planning and scheduling optimization solutions overcome challenges unmet by standard packaged applications, offering easy personalization to meet each client’s unique needs. By leveraging our low-code platform, a broad base of standardized components and proprietary AI analytics, we model our client’s business elements, rules and processes to create dynamic solutions that make their operations more responsive to unforeseen changes.

We are specialists in developing advanced planning and scheduling optimization solutions across a wide range of industries. Whether your organization is facing straightforward challenges or highly complex problems, we deliver fast and effective optimization tailored to your specific needs. Our expertise spans manufacturing, supply chain, logistics, workforce, and maintenance, addressing use cases such as production planning, inventory optimization, route planning, cost optimization, workforce scheduling, and dynamic maintenance planning.

Our solutions are used across various industries including electronics and semiconductors; facility management and maintenance services; healthcare and life sciences; automotive, aviation, port and terminal operators, and 3PL providers; as well as mining, metals, energy, and commodities. As we can easily adapt our solutions to each client’s specific operational realities, this list of industries is not exhaustive.

Our solutions are suitable for both SMEs and large enterprises. While we have extensive experience with complex, large-scale operations, our modular and scalable approach allows us to deliver value to organizations of various sizes.

Companies working with us can expect AI-driven, intelligent decision-support solutions that enable them to achieve operational excellence. Our solutions help improve efficiency, optimize resource use, and increase competitiveness, while reducing operational constraints and costs,  increasing agility in decision-making. For instance, by integrating our optimization solutions, Toyota Thailand achieved a 10% reduction in total transportation costs and airlines using Optima service generated savings of $1 to $2 million per aircraft, reducing by 10 to 15% overall maintenance and lease cost.

While traditional BI tools analyze past data to derive insights and trends, we focus on prescriptive analytics, supporting companies to make optimal decisions for the future using powerful optimization and AI techniques.

We provide advanced planning and scheduling solutions in multiple domains, including manufacturing, supply chain, workforce management, logistics, and maintenance operations. These solutions help organizations optimize resource allocation, streamline operations, and increase efficiency in complex, data-driven environments.

Our solutions are built on a robust combination of advanced technologies designed to tackle complex business challenges. At the core is mathematical optimization, including techniques such as Mixed Integer Linear Programming (MILP), leveraging world-class solvers like Gurobi and Cplex (IBM). Beyond optimization, our solutions incorporate business rules for flexible decision logic, simulation analysis to evaluate “what-if” scenarios, and machine learning to capture patterns and increase predictive capabilities. This powerful mix ensures our solutions are not only technically rigorous but also adaptable to real-world operational needs.

Integration depends on the type of system and business needs. For tactical or strategic solutions with periodic updates, we support Excel or flat file integration (e.g., CSV, TXT), allowing data to be exported from existing systems and imported directly into our platform. For continuous or real-time integration, we offer automated integration via REST APIs, staging databases, or middleware/message queues (e.g., ESBs, RabbitMQ). This flexibility allows us to fit into environments ranging from lightweight integrations to fully automated enterprise-scale deployments.

Prescriptive analytics goes beyond prediction, it tells you what to do. We use optimization algorithms to generate the best possible outcomes given your constraints, objectives, and uncertainties.

We offer flexible deployment options to fit different IT strategies, security requirements, and compliance needs:

• Public Cloud: secure and scalable, hosted on trusted cloud providers with dedicated Kubernetes clusters per client;
• Private Cloud: dedicated Kubernetes infrastructure, managed by a third party or the client, offering cloud-native benefits while meeting strict regulatory or data residency requirements;
• On-Premises: installed in the customer’s own Kubernetes infrastructure for maximum control over data, security, and compliance;
• Local / Standalone: for pilots or prototypes, solutions can run locally on a single machine to enable quick validation.

All deployment models deliver the same core functionality and security standards, giving organizations the flexibility to choose the approach that best balances performance, compliance, and cost, with the option to migrate as needs evolve.

All data in transit and at rest is encrypted. Access is controlled through centralized identity management, RBAC, and MFA. The infrastructure runs on dedicated Kubernetes clusters with continuous monitoring. We perform periodic penetration tests, vulnerability scans, regular patching, and maintain secure backups with rapid recovery options. DecisionBrain complies with GDPR, relies on certified cloud providers (ISO 27001, SOC 2/3, HDS), and appoints a Data Protection Officer to oversee compliance—ensuring a secure, auditable, and reliable environment for clients.

Depending on complexity, implementation can range from a few weeks (for configured products) to six to eight months for large-scale customized deployments. We follow agile, collaborative delivery processes.

Yes indeed. We design user interfaces that abstract technical complexity, enabling planners, managers, and analysts to interact with powerful engines through intuitive workflows and dashboards.

We provide structured support both during implementation and after go-live, ensuring clients receive the right level of assistance at every stage. Our support is organized into three tiers:

• Level 1: first-line support, where issues are logged and initial responses are provided within pre-agreed timelines;
• Level 2: in-depth analysis to identify where the problem originates (ex. integration, infrastructure, algorithms …);
• Level 3: specialized technical support focused on addressing the specific issue.

Clients can choose the level of support they need, ranging from basic assistance to full technical coverage, backed by a dedicated team. Our team can cover all timezones if needed.

Beyond ongoing support, we follow a proven implementation process to maximize value delivery:

1. Discovery Workshop (1–2 days): explore the client’s challenges and assess where DecisionBrain can create value;
2. Proof of Concept (1–2 months): define and address a representative sub-problem, delivering tangible results to validate the approach;
3. Business Case Development: quantify benefits and build the case for broader adoption;
4. Full Deployment: execute the project using an agile approach, ensuring plans remain adaptable as business needs evolve.

This combination of structured support and agile, phased implementation helps clients achieve measurable impact while ensuring long-term solution reliability.

We work closely with clients to deeply understand their business processes, operational constraints, and objectives. We follow a collaborative, iterative approach, combining advanced optimization algorithms with highly customizable user interfaces to ensure the final solution addresses your unique challenges. Our experts adapt models, workflows, and integrations so the system aligns perfectly with your operational realities.

Yes. Our team includes optimization experts with PhDs, experienced in designing and implementing advanced algorithms beyond linear programming. Whenever possible, we favor linearizing problems to Mixed Integer Programming in order to achieve good performance. However, depending on the specific need, we apply non-linear optimization, constraint programming, meta-heuristics, and decomposition techniques to achieve the best balance between accuracy and performance. Our approach is pragmatic: we select or combine methods to ensure the most effective solution for your use case.

Yes. We frequently develop multi-objective optimization solutions and have implemented several strategies, including weighted-objective formulations, lexicographic optimization, and Pareto frontier generation. The most appropriate approach often depends on how decision-makers interpret trade-offs, so we would be happy to discuss your specific objectives to determine the best methodology.

We work with a broad range of commercial solvers, including Gurobi, CPLEX, and others, and we maintain partnerships with major solver providers. When needed, we also develop custom algorithms or hybrid engines on top of these solvers to address problem-specific performance or modeling requirements.

Our pricing varies depending on the unique needs, complexity, and scope of each customer’s project. We offer flexible pricing models, including annual subscription licenses, perpetual licenses with maintenance, and options based on business metrics such as the number of users or sites, so we can align with each customer’s preferences. Click HERE to speak with one of our experts.

Reach out to our team for an initial consultation or demo. We’ll assess your challenges, recommend an approach, and define a roadmap for engagement.

We are headquartered in Europe with a global team serving clients worldwide. We have offices in France, Italy, USA and Hong Kong.

You can reach us via our contact page to schedule a consultation or request more information.