Cloud-native AI and data systems for telecom
We design, build and run the cloud-native platforms, data pipelines and AI systems that telecom operators depend on: from network analytics and predictive connectivity to the Kubernetes foundations underneath.
Network data
Cell-site measurements, probes, KPIs and topology
Cloud-native platform
Ingest, train and serve on Kubernetes
Decisions
Connectivity forecasts, degradation alerts and planning APIs
Trusted by teams at
Capabilities
Four areas where we do our best work for operators, delivered with the discipline production networks demand.
Kubernetes-first
Kubernetes-first platforms built to run network analytics, AI and data workloads at operator scale: secure by design, observable by default, and delivered through one repeatable path from development to production.
Telecom analytics
Turn network measurements into foresight. We model connectivity quality over space and time so operators can see degradation coming, plan capacity with evidence, and act before customers feel it. The same models extend to drone corridors when needed.
Production ML
Reproducible train, validate and deploy workflows with controlled releases, monitoring for performance and drift, and governance your teams can actually follow.
MLOps and LLMOps
See how your AI systems really behave across data, models and pipelines. Monitoring, analysis and visualisation built for the people who run them, so you can diagnose issues and keep improving.
Supporting disciplines
Why TetraSight
We are a small, senior team with years inside telecom analytics, network data and production systems. The people you meet are the people who build.
Talk to the teamWe speak network: measurements, KPIs, topology and the operational reality behind them.
Delivery that stays maintainable, measured by outcomes, with technology choices made on merit.
Secure by design, auditable by default: access controls, lineage and policies from the first sprint.
The engineers doing the work, from the first call onwards.
Selected work
A few projects that show how we work.
Engagement model
A simple engagement model that keeps things clear and keeps momentum.
We map the problem together: blueprint, plan, risks and estimates.
Iterative delivery of the platform, pipelines and models, with working software every few weeks.
Reliability, performance, cost, and enabling your team to run it themselves.
Tell us what you want to achieve in the next 90 days and we'll tell you honestly how we can help.