Intelligent infrastructure built for complex operations
Yulia integrates workflows, document intelligence, automation and AI into a technology base for turning specialised processes into more structured, traceable and scalable systems.
The first application focuses on R&D consulting: projects, clients, files, evidence, justifications and deliverables connected in one operating environment.
Document-heavy processes · Business rules · Permissions · Contextual AI · Audit
When critical work lives across documents, email and individual judgement
Many knowledge-intensive operations still run through a combination of documents, spreadsheets, email and generic tools.
Information exists, but it is scattered. Processes are defined, but they depend on manual follow-up. AI brings capacity, but loses value when it operates outside the real work context.
We are working to connect these elements into systems capable of organising information, coordinating processes and assisting decisions.
Knowledge is hard to structure
A critical part of the operation remains in documents, conversations and individual experience.
Fragmented processes
Tasks, data, decisions and evidence are distributed across tools that do not share context.
Superficial automation
Current solutions automate isolated tasks, but do not understand the full process or its dependencies.
AI disconnected from operations
Models can generate or extract information, but their value is limited when they are not integrated with rules, permissions, workflows and controls.
A common infrastructure for building intelligent vertical products
Yulia Core is a modular base that connects processes, documentation, business rules, people and AI. Each vertical application reuses these capabilities and adapts them to its sector language and controls.
Operational orchestration
We model how real operations work to coordinate tasks, decisions, responsibilities and dependencies in one system.
Workflows · States · Tasks · Owners · Dependencies · Milestones · Rules · Approvals · Exceptions
Document intelligence
We turn documentation into an active part of the process, not a passive file repository.
Capture · Classification · Extraction · Validation · Versioning · Evidence · Traceability
Embedded intelligence
AI is integrated inside workflows, connected to data, rules, permissions and control mechanisms.
Contextual models · Validation · Inconsistencies · Structured generation · Recommendations · Human supervision
Trust infrastructure
Security, auditability and control are part of the architecture by design.
Multitenant · Granular permissions · Audit · Encryption · EU data · Action logs · Dedicated environments
One common core. Multiple vertical applications.
From fragmented information to intelligent operations
The system receives documents, data, communications and rules; structures them into an operating model and activates validations, automations and contextual assistance.
Scattered information
01- Documents
- Data
- Communications
- Rules
- Events
- Human interactions
Yulia Core
02- Structuring
- Orchestration
- Validation
- Automation
- Contextual AI
- Control
Coordinated operation
03- Coordinated processes
- Traceable information
- Assisted decisions
- Structured deliverables
- Reporting
- Greater operating capacity
It is not just a document manager, a chatbot or a task tool. It is an operating layer designed to connect information, processes and intelligence.
Transforming R&D consulting operations
Built on Yulia CoreWe are applying Yulia technology to one of the environments we know best: R&D consulting.
The sector combines tax credits, grants, subsidies, technical reports, justification files, multiple stakeholders and traceability requirements. It is a demanding environment to validate the technology on real problems.
The first application will connect project management, client interaction, documentation, workflows and AI in a specialised operating system.
Client portal
A single space to interact with clients, collect information and provide real-time tracking.
Structured document management
Centralised, versioned and traceable documentation directly integrated into workflows.
End-to-end project management
Planning, tracking, task assignment, workload management and a unified view of every client status.
Workflow automation
Automated collection, validation and tracking of information to reduce repetitive tasks and standardise processes.
Reporting and deliverables
Structured report generation, milestone control and connection with billing processes.
Applied intelligence
Extraction, validation, generation and contextual assistance inside the real workflow.
AI inside the operation, not outside it
We do not add a generic assistant on top of existing processes. AI is embedded inside workflows, connected to documentation, business rules, permissions and review mechanisms.
Casos de uso
Context before generation
AI works on structured information, permissions and rules defined for each process.
Supervision by design
Critical decisions remain subject to human review and control.
Adaptable architecture
We combine external models, specialised models and dedicated processing depending on sensitivity, cost and operational needs.
AI traceability
Interactions, decisions and model-generated outputs can be recorded and audited.
More than automating tasks: modelling the operation
Yulia does not start from a blank canvas or isolated automations. It starts from the real operating model: rules, documents, participants, decisions, controls and exceptions.
Vertical by design
Each product incorporates the language, rules and specificities of the environment where it operates.
Reusable core
Fundamental capabilities are built once and expanded with every new application.
Operational AI
AI participates within the process, not as an isolated tool.
Security and traceability
Every data point, document, action and AI interaction can be recorded and controlled.
That is why Yulia is not another generic SaaS, enterprise chatbot, low-code tool, document manager or project management product. It is infrastructure for building vertical operating systems.
The impact we are designing for
Yulia aims to increase the operating capacity of organisations that manage knowledge-, documentation- and coordination-intensive processes.
- Less manual intervention in repetitive tasks
- Greater traceability of processes and decisions
- Less dependence on unstructured knowledge
- Greater ability to scale specialised operations
- Better interaction between teams, clients and collaborators
- AI applied with context and control
- Fewer errors and omissions
- Greater operational consistency
Impact objectives subject to validation during the first pilots.
We start where the problem is most evident
R&D consulting brings especially clear conditions: documentation-intensive work, technical knowledge, regulation, constant client interaction and a need for complete traceability.
R&D consulting firms
To develop and validate new operating models that are more efficient, controlled and scalable.
Corporate innovation teams
To structure project cycles, evidence, tracking, documentation and justification.
The learning generated in this first vertical will progressively expand the technology core and enable new applications.
Building the core. Expanding the applications.
Yulia evolves from a common technology core to specialised vertical applications, each built on shared capabilities and adapted to its sector context.
Operating core
Yulia CoreWorkflows, document architecture, identities, permissions, audit and multitenant model.
First application
R&DImplementation and validation in R&D consulting processes.
Intelligence layer
Contextual AIExtraction, validation, contextual generation and supervised automation.
Capability expansion
IntegrationsMore configurability, integrations, advanced reporting and dedicated deployments.
New applications
VerticalsDevelopment of new vertical products on the same technology core.
Operating core
Yulia CoreWorkflows, document architecture, identities, permissions, audit and multitenant model.
First application
R&DImplementation and validation in R&D consulting processes.
Intelligence layer
Contextual AIExtraction, validation, contextual generation and supervised automation.
Capability expansion
IntegrationsMore configurability, integrations, advanced reporting and dedicated deployments.
New applications
VerticalsDevelopment of new vertical products on the same technology core.
Knowledge of the problem. Capacity to build the technology.
Yulia is born from the combination of direct experience in consulting operations, product development and practical application of new technologies. We are building from deep knowledge of the processes we aim to transform.
Operational experience in consulting and innovation
Technology product design and development
End-to-end execution capability
Direct access to initial use cases
Multi-product vision
Understanding of regulated and document-heavy environments
Follow our progress and collaborate with us
We are looking for people and organizations who want to build with us—organizations managing complex document-driven processes, R&D and innovation consultancies, technology partners, and teams interested in validating Yulia’s first applications—as well as anyone who wants to stay up to date with the project