For companies ready to move from AI experiments to production-grade AI infrastructure. We design, build, and operate governed AI systems, from audit to architecture to deployment.
An AI system for selected data and workflows. Hosting, access controls, logging, and usage rights are agreed together and reviewed before deployment.
The Foundations
Moving from a pilot to operations calls for a shared architecture, clear responsibilities, and a suitable operating model. We plan these foundations with your team.
A shared architecture connects data, models, and existing systems with clear operating requirements.
Defined access controls, logging, and responsibilities support operational oversight.
Hosting, data processing, model licenses, and handover are defined in the project scope.
How It Works
We connect your business data and operating model to a governed AI core inside your firm. That creates an AI-readable website, a real conversation layer for customers, and internal AI systems with human oversight.
A controlled AI foundation connected to your data, rules, and operating model.
AI-readable pages and AI-driven interactions for visitors and buyers.
AI systems inside the firm with oversight, auditability, and clear responsibilities.
How It Works
This illustrative architecture connects selected business data to an AI core with defined controls. It can support machine-readable website content, customer conversations, and internal workflows. The project scope defines hosting and human review points.
Three Phases
Audit, build, and operation provide the framework. Scope and milestones reflect your starting point.
We review processes, data assets, and technical readiness. You receive prioritized use cases and assumptions about effort, benefits, and risks.
We design the target architecture and coordinate implementation. Privacy, access controls, and required specialist reviews inform the plan.
We agree monitoring, maintenance, and evaluation around operational needs. Model changes and retraining follow defined approvals.
What You Get
In partnership with our technology partner 01 Engineering, we develop adapted AI solutions. Trained on your data, aligned to your processes. From fine-tuning foundation models to building an organisational source of truth.
Foundation models trained on your domain language, processes, and decision logic.
Selected company knowledge, structured, versioned, and made accessible for AI.
AI agents for defined tasks with permissions, approvals, and human oversight.
Hosting, access controls, retention, and data flows are agreed for your use case.
Domain-specific data and evaluations for the agreed tasks.
Feedback loops and re-training so your AI grows with the business.
The Window
A clearly scoped use case provides a basis for evaluation. Measure quality, effort, and benefits in operation, then develop further based on the results.
How We Work
We agree the scope, responsibilities, and milestones with your team, then review progress from audit to launch.
We assess your AI readiness and document use cases, cost assumptions, dependencies, and evaluation criteria.
We design the system blueprint: data, models, governance, compliance. Tailored to your firm.
We coordinate the build, test with real operations, and go live. You get AI that works inside your company.
The Full Picture
The model groups website development, chat integration, enterprise workflows, and model adaptation. Select the services that fit your requirements.
The BlackAI ecosystem connects service brands and specialist expertise in AI research, data infrastructure and software engineering. Collaboration and delivery responsibilities are defined for each project.
AI holding company. Service brands for AI-readable websites, consulting, compliance, and engineering.
Applied AI research and development. AI architecture, model evaluation, and enterprise-grade AI systems.
Data infrastructure, analytics, and AI-driven energy market intelligence.
Software engineering and AI system development. Full-stack architecture for AI-native applications.
AI-assisted website content review for financial services providers. Documentation and remediation support with a scope agreed per project.
AI strategy, enterprise AI integration, and research-backed advisory.
Discuss your goals, data, and a suitable review scope in an introductory conversation.