[ ⵉⵎⵛⵉⵛⵏ ]
ⴰⵙⵜⴰⵢ ⵏ ⵉⵎⵓⵙⵙⵓⵜⵏ ⵉⵜⵜⵓⵙⴽⴰⵔⵏ ⴳ ⵜⵎⵙⵙⵉⵙⵜ ⵜⴰⵎⴰⵜⵜⴰⵢⵜ ⴷ ⵜⴰⵏⴽⵔⴰ ⴷ ⵓⵙⵏⴼⵍⵓⵍ ⵙ ⵉⵙⴼⴼⴰⵔⵏ.
Public health
Challenge
A national health authority needed to modernize citizen inquiry handling without sending personal health data through third-party cloud providers.
Outcome
Deployed a sovereign NLP portal handling multilingual citizen inquiries with in-country data residency. Response time reduced by ~70% vs. prior channels; zero data residency exceptions in post-deployment audit.
Financial services
Challenge
A regional bank operating across AWS and Azure faced escalating lateral-movement risk and impending regulatory review of its network segmentation posture.
Outcome
Implemented Illumio-based micro-segmentation to contain lateral movement across 1,200+ workloads. Controls aligned to regulator expectations ahead of scheduled review; no findings raised.
Transport & logistics
Challenge
A government fisheries agency needed real-time visibility into high-value inventory across remote maritime sites with unreliable connectivity.
Outcome
Live tracking of high-value inventory through maritime sensor data, with integrated smart-warehouse tooling. Spoilage losses reduced by over 30% in the first operating year.
Hospitality
Challenge
A property management group handling 400+ units across multiple brands needed to scale guest communications without proportionally scaling headcount.
Outcome
WhatsApp-first guest experience with autonomous communication and sentiment-aware task routing. Guest satisfaction scores increased 22 points; response lag eliminated for after-hours queries.
Energy & utilities
Challenge
A critical infrastructure operator needed to extend cybersecurity monitoring into operational technology environments without disrupting grid control systems.
Outcome
Deployed passive OT network visibility across 14 substations with SIEM integration. Anomaly detection coverage extended to previously blind segments; incident response SLA reduced from hours to minutes.
Defense & government
Challenge
A defense agency required AI-assisted document analysis for classified material — commercial cloud options were categorically excluded by policy.
Outcome
Deployed a hardened, air-gapped LLM stack on government-controlled infrastructure. Processing throughput increased 4× vs. manual review; full classification policy compliance maintained.
ⵉⵎⵓⵙⵙⵓⵜⵏ ⵏⵏⵖ ⵙⵙⵎⵔⵙⵏ ⵜⵉⵣⵎⵎⴰⵔ ⵉⵜⵜⵓⵙⵙⵏⴰⵏ ⴳ 18 ⵏ ⵉⵙⴳⴳⵯⴰⵙⵏ.
Large language models and AI pipelines hosted on government- or client-controlled infrastructure, meeting data residency and audit requirements in regulated jurisdictions.
End-to-end identity verification, micro-segmentation, and least-privilege access across hybrid and multi-cloud environments — built to withstand modern lateral-movement attacks.
Landing zone design, workload migration, and ongoing cloud operations for AWS, Azure, and GCP — with security and compliance embedded from day one.
Passive monitoring, anomaly detection, and incident response planning for operational technology networks — without disrupting the systems that can't afford downtime.
Custom AI agents and automation platforms that integrate with existing workflows — from customer-facing conversational systems to back-office intelligence tools.
Full-stack development of mission-critical platforms, APIs, and SaaS products — designed for resilience, security, and long-term maintainability.
ⴼⴽ ⴰⵖ ⵓⵙⵉⴽⴽⵍ ⵏⵏⵖ ⴷ ⴰⵣⵎⵣ ⵏⵏⵖ; ⴰⴷ ⴰⵖ ⵏⵙⵙⵎⵔⵙ ⵉⵎⵓⵙⵙⵓⵜⵏ ⵉⵎⵙⴰⵙⴰⵏ.
ⵔⴱⵃ ⵜⴰⵎⵙⵍⴰⵢⵜ ⵏ 30 ⵏ ⵜⵓⵙⴷⵉⴷⵉⵏ