Gigamatics is a consulting-led technology firm. We design, implement, and operate cloud, data, security, reliability, and AI systems for organisations dealing with scale, governance, and risk. We are not a vendor. We are not a body shop. We are practitioners who take accountability for outcomes.
Gigamatics was built to serve one category of client: technology-driven organisations dealing with real complexity. Platform instability that engineering leadership can't explain. Security exposure that compliance teams can't quantify. Cloud costs that finance can't justify. Data infrastructure that doesn't serve the decisions that need to be made. AI programmes that produce pilots but never reach production.
These are not vendor problems. They are architecture, governance, and process problems — and they require practitioners who can diagnose the real cause before recommending a solution.
We do not offer standardised service packages or pre-built accelerators dressed up as strategy. Every engagement begins with a structured assessment of the specific problem, produces a design that addresses the root cause, and closes with a measurable outcome that was defined before implementation started.
Every engagement begins with diagnosis. We assess before we design, and design before we build. Technology decisions follow problem definitions — not the reverse.
Our practitioners are engineers who consult — not consultants who describe engineering. We take accountability for what we design, implement, and hand over.
Every engagement closes with a documented comparison to the baseline. If the outcome was not defined before implementation started, we were not clear enough at the beginning.
Cloud architecture, migration, landing zone design, and multi-cloud governance.
Cloud cost governance, waste elimination, and financial accountability frameworks.
Data platform engineering, pipeline design, data quality, and analytics architecture.
Security architecture, control frameworks, risk programmes, and regulatory alignment.
DR architecture, RTO/RPO engineering, and business continuity programme design.
SRE implementation, SLO design, observability architecture, and incident management.
AI strategy, LLM integration, ML engineering, MLOps, and AI governance frameworks.
Ongoing operations across cloud, database, security, and platform reliability — as a defined managed service with SLAs.