Capabilities — four disciplines under one roof
We use what the problem requires — sometimes a frontier model, sometimes a fine-tuned open one, sometimes no AI at all. Just good engineering.
Structured into four disciplines.
The composition above is what we work with. Below is how we organise it for clients.
AI systems for enterprise workflows.
We design and ship custom AI systems built for production — not demos. Every system integrates with your existing data, governance, and security posture, with ISO/IEC 42001-aligned discipline baked in from day one.
- Retrieval-augmented systems over enterprise documents
- Multi-agent workflows with full audit trails
- Custom fine-tuned models for domain-specific tasks
From idea to production.
We design, build, and ship SaaS platforms end-to-end. POCs in weeks, production systems in months — with measurable KPIs and disciplined delivery, not agency-style hourly billing.
- B2B SaaS platforms with multi-tenant architecture
- Internal tools that replace spreadsheets and email
- API products with developer-grade documentation
Defensible systems for a synthetic-media age.
AI-powered image forensics, deepfake detection, vulnerability assessment, and content authenticity systems. The engineering behind Real-Eye — adapted for newsrooms, platforms, and enterprises that need to know what's real.
- Deepfake detection for image and video pipelines
- C2PA-compliant content authenticity systems
- Surface scans and vulnerability assessments
AI-first learning platforms.
Curated learning paths, bite-sized modules, cohort tools, and white-label deployments — engineered around how professionals actually learn. The engineering behind AiMantras.
- Microlearning platforms with adaptive paths
- Cohort-based programme management tools
- Enterprise-deployable learning systems