Semantic Intelligence Platform
Transform the 80% of organizational knowledge hidden in unstructured data. Combine it with your structured data for 100% actionable intelligence.

About Consono
As organizations scale, knowledge stops behaving like an asset and starts behaving like a liability. The problem is not a lack of information. The problem is that the same knowledge must be queried differently, explained differently, and structured differently every single time. This creates duplicated logic, inconsistent answers, and slow adaptation across teams and systems. At a certain point, how knowledge is accessed becomes a bottleneck to execution.
Our flagship product, Dynizer, acts as a semantic coordination layer that sits between knowledge storage and knowledge usage. It does not replace databases, search, or LLMs. Instead, it maintains meaning independently of format, allows queries and outputs to evolve without rewriting logic, and preserves semantic relationships even as structure changes. Think of it as decoupling meaning from representation.
To a CEO, this is a way to stop knowledge from slowing the organization down as it scales. To a CTO, this is a way to reduce semantic fragility without centralizing everything. To both, this is infrastructure for adaptability that doesn't rely on external services or LLM's beyond your control.
of your organisation's knowledge is embedded in unstructured data. Our expertise unlocks its potential.
Whether 100 or 1,000,000 documents, we provide the LLM with the correct meaningful data.
days is what we need to get your unstructured data unlocked and ready for AI applications.
The Leverage Mechanism
Instead of hard-coding one query to one output to one structure, Dynizer binds queries to meaning, allows structure to flex, and reuses semantic intent across multiple outputs. This creates leverage because one knowledge base supports many expressions, changes propagate semantically rather than manually, and coherence can be tightened or loosened on demand.
Systems without a semantic coordination layer show the same symptoms: repeated prompt engineering, brittle pipelines, inconsistent summaries, and growing divergence between source of truth and outputs. When semantic coordination is introduced, the first improvement is always consistency across all knowledge expressions.
The second improvement is speed of adaptation. When policies change, when new information arrives, when organizational structures evolve, changes propagate semantically rather than manually. Enrichment becomes additive rather than disruptive, with new information seamlessly integrated into the knowledge base without rebuilding pipelines.
The third improvement is reduction in downstream complexity. Dynizer works seamlessly with Microsoft Teams, SharePoint, Oracle Webcenter Content, and databases through plugin capabilities and Airbyte-based connectivity. Future systems can consume the same knowledge differently, evolve independently, and remain aligned without tight coupling.
Once meaning is no longer bound to a single structure, new content types do not require new pipelines, new query styles do not require re-indexing, and enrichment becomes additive rather than disruptive. Advanced text analytics including categorization, dynamic summarization, pseudonymization, and sentiment analysis happen in a single seamless process.
This does not lock the organization in. It removes future constraints. With Dynizer, you have complete control over your data, ensuring that it remains secure and private. No external services are required, so your sensitive information is protected from use by services outside of your full control. The system provides agency and control without automation anxiety.

Dynamic Summarization
Dynizer does not just summarize. It preserves meaning at every level of compression. Move the slider to see how the same core ideas remain intact whether you need a full briefing or a single sentence.
This is what decoupling meaning from representation looks like in practice.
As organizations grow, meaning fragments and becomes a bottleneck. Our system preserves meaning independently of structure, allowing knowledge to adapt without rewriting logic. This reduces complexity and enables adaptability.
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Use Cases
Dynizer adds significant value in any AI project or initiative. Below are examples of how organizations across industries are transforming their operations.
Media Industry
Provide journalists with direct access to all relevant information. Dynizer connects diverse sources and stories, enabling media companies to cut story development time by 50% while elevating the precision and quality of their content.
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Public Sector
Automated document analysis, smart writing assistance, and visual case overviews empower social workers to dedicate more time to delivering personalized support. Streamlined workflows enable better outcomes for vulnerable communities.
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Human Resources
Reduce the need for repetitive support through combining advanced semantic intelligence with generative AI. Achieve an 85-90% resolution rate for employee inquiries while reducing the cost per question from €10-15 to just €1.
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Partnerships
Whether you are a VAR or System Integrator, Consono's technology provides you with a unique AI offering for your customers. Our cutting-edge intelligent functionalities can transform partner offerings without the heavy lifting.
Technology Partners
Strategic Industry Collaborations
Get in touch and we will show you how
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