Custom Marketing AI
Build the marketing capability your data-intensive organization needs. Devora develops specialized systems using machine learning, knowledge graphs and neuro-symbolic AI, with the business problem defining the technology.
Marketing teams often hold useful data in incompatible systems, with rules and context that a generic tool cannot represent well. We begin by understanding the decision, the available evidence and the people who will use the result. Development then connects the data, models and working process around that need.
Specialized marketing development using machine learning, knowledge graphs and neuro-symbolic AI for data-intensive organizations.
Develop models for defined tasks such as classification, audience prioritization or pattern discovery. We assess whether the available data can support the task and choose evaluation criteria that reflect how the result will actually be used.
Represent relationships between organizations, people, topics, content and campaign activity. A shared entity model can help teams connect fragmented information, examine context and build a more consistent basis for search and reporting.
Combine learned patterns with explicit domain rules where the use case benefits from both. Keep constraints and review points understandable so a useful prediction can fit the commercial process and the client’s requirements.
Connect, standardize and organize approved data sources. Define entity matching, provenance and quality checks so downstream models and reports are based on an understood data foundation.
Build the interfaces, integrations and task flows that make a capability usable by your team. The design can connect to existing CRM, ERP and reporting systems or a customized DevoraMind workspace.
Agree acceptance criteria, human review responsibilities and how performance will be monitored. Test the intended task against a documented baseline, then refine the system using the evidence available from its use.
How we work
Agree the decision, intended users, success criteria and constraints.
Review data access, quality, feasibility and the appropriate technical approach.
Develop and evaluate a focused capability with your team before widening the scope.
Integrate the working system and establish ownership for monitoring and refinement.
A little more detail
A custom build is useful when the problem depends on distinctive data, rules or workflows that standard tools do not handle well. We compare the need with existing options and the cost of maintaining a bespoke capability before deciding the scope.
Data access, permitted uses, storage, retention and review responsibilities are defined with the client. A development brief should also identify security requirements and the restrictions that apply to model training or external services. These decisions are made before the data is used in the project.
The task determines the approach. Machine learning, knowledge graphs and neuro-symbolic methods can be used separately or together when they help solve the problem. A smaller, testable system can be the right first step before a wider development.
From the Devora blog
Evaluate custom marketing AI with a decision framework for machine learning, knowledge graphs and neuro-symbolic methods. Includes a readiness checklist and comparison matrix.
Read the articleExplore Custom Marketing AI
Map campaign data, CRM fields, lead routing and reporting before integrating outreach. Includes a sample field map, validation plan and handover checklist.
Read the articleExplore Outreach, CRM & PPC
Connect media activity, campaign engagement and CRM stages into a clear B2B reporting workflow. Define shared data, ownership and the limits of attribution.
Read the articleExplore The combined Devora offer
Start a conversation
Tell us where your media, marketing and data need to work more closely. We will help define the right next step.