Birnivo / AI Engineering

AI systems designed around your organization

We assess your goals, data, and workflows to develop AI and software systems around your needs. Scope is established through technical evaluation, tailored development, validation, and integration.

Service areas

01

AI discovery and feasibility

We assess whether AI is the right approach, and evaluate the data, technical constraints, and expected business value.

02

Custom AI and machine learning

We develop tailored machine-learning systems for forecasting, classification, recommendation, anomaly detection, and other domain-specific needs.

03

Computer vision and medical AI

We build computer-vision and AI systems for image- and video-based workflows, with validation and expert review treated as part of the engineering process. Clinical suitability requires separate validation and applicable approvals.

04

LLM, RAG and AI agents

We design LLM, RAG, and AI-agent systems connected to organizational knowledge, product data, and operational workflows.

05

Validation, MLOps and integration

We go beyond model development by addressing validation, traceability, integration, monitoring, and controlled deployment readiness.

Needs before industry labels

Needs-led scope assessment for small and medium businesses, large organizations, industrial companies, healthcare and research institutions, and international customers. Our work is not restricted to one industry or chatbot services.

Clarify data access and use rights, success criteria, human review, integration boundaries and maintenance responsibilities before a project begins. Validation does not constitute clinical or regulatory approval; applicable approvals require separate assessment.

From business need to working system

Not every problem needs AI. Data suitability and feasibility are assessed before development.

  1. Understand — We clarify the business goal, problem, and current workflow.
  2. Evaluate — We assess data, feasibility, risk, integration requirements, and expected value.
  3. Design — We define the right architecture, model strategy, and implementation approach.
  4. Build — We develop the AI, software, and required integrations.
  5. Validate — We test how the system works and assess the reliability of its results against agreed criteria.
  6. Integrate — We fit the solution into existing operational workflows.
  7. Improve — Where needed, we monitor, refine, and evolve the system over time.

Looking for a product — or a solution built around you?

Explore Roviqon and SpermVision, or prepare to discuss an AI system designed around your own business needs. Online inquiry submission is not yet available.

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