Cyber-safe AI
This is how you scale your AI capabilities safely and securely.
Cyber-safe AI
Skills you can't do without
Many companies fail in their AI efforts because they lack technical and security expertise. We help you develop, deploy and use AI in a safe, responsible and controlled way, from idea to scaled AI capability.
AI Feasibility
Not all AI ideas are worth pursuing. We help organizations identify and prioritize AI initiatives based on business value, data availability, and technical feasibility.
AI Data Strategy & Data Engineering
We help you build the data foundation that makes AI possible with the right principles for governance, security, and prioritization of new AI initiatives.
AI Development & Implementation
We help organizations develop and implement AI solutions step by step, from testing and pilot projects to secure solutions in full production and operation.
AI Driven Software Development
If your business has its own software development capabilities, we offer the opportunity to develop safely with AI, without losing the craftsmanship.
AI Feasibility
Make wise decisions about what is possible. And what is not.
We help your organization understand which AI initiatives are technically and commercially realistic to implement. The goal is not to sell visions, but to provide high-quality decision-making based on the actual maturity of the technology and your strategy.
We use a clear maturity ladder to distinguish between established applications (RAG, semantic search, summaries), more exploratory projects (generative functions), and speculative ideas that are not yet mature. This way, management, operations, and technology can speak the same language around risk, benefit, and feasibility.
The work is carried out through workshops and analyses, where we together with you map expectations, assess potential value and risk, and connect the results to the business strategy. We use established frameworks such as Porter's strategy types and MIT's AI roles to ensure strategic relevance.
The deliverable is a concrete decision basis, possibly supplemented with recommendations or a proposal for a limited proof-of-concept to test ideas on a small scale.
Omegapoint is not an AI company with an agenda to “AI-ify” everything. We are a technically savvy and realistic partner that helps clients distinguish between what sounds possible and what actually is. is the.
AI Data Strategy & Data Engineering
Create the right data foundation for AI
Omegapoint helps organizations organize their data so that AI can deliver reliable, useful results. We don’t start in theory, we start in reality – with inventorying actual information sources, structuring, classifying and establishing permissions. It’s the methodological underpinnings that determine whether AI works in practice. Building AI without a data foundation is like wanting to have beach muscles without eating vegetables – it’s faster in theory than in reality.
We ensure that the information is accurate, relevant and secure. In our assignments, we take active responsibility for integrating security principles, clear access rights, traceability and data provenance. We work according to the principle security-driven compliance, Good craftsmanship and sound architecture that creates security and quality, not checklists.
Our deliverables provide concrete results, not just reports:
- Working pipelines for data collection and indexing.
- Defined “landing points” for data, such as SharePoint libraries or mailboxes.
- Information classification and access rules.
- A first useful pilot – not just a proof of concept.
We lead the work but do it in collaboration with the customer's organization, so that the result is manageable in the long term. AI starts with data – and we make sure the foundation holds.
AI Development & Implementation
Build AI with the same discipline as other systems development
Omegapoint helps customers build and integrate AI capabilities in a controlled and sustainable way – whether it’s language models, machine learning or semantic search. We see AI as one component among others, not as a “thinking system”.
We can both collaborate with the customer's team and take on functional responsibility over time. AI functions are delivered as robust modules with clear interfaces, logging, monitoring and the possibility of continuous verification.
Our architectural principles are based on isolation, least privilege, observability, and active cost control – including denial-of-budget protection against unintentional or adversarial cost explosions.
We work with the same safety awareness as in all our development:
threat modeling, code review, supply chain security, vulnerability subscriptions, and SAST.
When the solutions are deployed, we ensure quality through automated AI health checks, version control and monitoring of model behavior. For SaaS models, this means continuous testing of deviations; for in-house operations, regression control in the development cycle.
We support three operating models:
- Self-hosted – only for the most security-sensitive customers.
- Rented hosting – via trusted suppliers.
- SaaS – after risk analysis and with exit planning.
We work according to the EU AI Act's risk-based approach and are aware that language models carry inherent bias. That's why we handle AI with transparency, traceability, and respect for the user's and society's perspectives.
AI Driven Software Development
Develop with AI without losing the craft.
Omegapoint helps organizations use AI tools in a safe and sustainable way. We see AI as a powerful support for developers – not a replacement. Our starting point is that real value is created through understanding, review and responsibility, not by producing the most lines of code.
We help customers take the next step in their AI use, based on what our most experienced consultants have found to work in practice. It's about both raising the maturity of working methods and establishing concrete technical structures:
- Integrate AI support directly into development environments and CI/CD flows.
- Build pipelines with SAST, dependency scanning, and policy checks.
- Create traceability to distinguish human and AI-generated code.
- Evaluate and configure tools for on-premises and cloud-based use.
AI can accelerate development and improve quality, but only when used with discipline and understanding. We help you introduce AI into your development work without compromising safety, quality, or professional pride.
