Innovation inEvery Byte.
AzeniQ engineers production AI end to end, covering MLOps, cloud, DevOps, data, and security. We also spec and rack the hardware it runs on, from on-prem GPU clusters to workstations and networking. One accountable partner for enterprises, startups, and creators.
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Trusted by teams at
Phoenix Group
Planet Pharma
FinfydePhoenix GroupPlanet PharmaFinfydePhoenix GroupPlanet PharmaFinfydeAzeniQ engineers production AI end to end: models, MLOps, cloud, data, and security. We also spec and rack the hardware it runs on, from GPU clusters to workstations and networking.So you can build, ship, and scale with one accountable partner.
90% of AI pilots never reach production. We close that gap.
One cloud, many clouds, your own racks, or the edge.
We build for the topology your data and your budget demand, then operate it through the same pipelines, observability, and guardrails.
Go deep on one provider
Landing zones, EKS or ECS, Bedrock and SageMaker on AWS, or the Azure and GCP equivalents, all codified in Terraform so every environment is reproducible.
Cloud-Native TransformationPortable by design
AWS, Azure, and GCP in one estate: shared identity, infrastructure-as-code patterns that keep you portable, and FinOps that tracks spend across all three.
Cloud-Native TransformationSurvive a region loss
Active/active or warm standby across regions with agreed RPO and RTO, data replication, global traffic steering, and failover rehearsed on a schedule rather than discovered during an outage.
Cloud-Native TransformationOn-prem core, cloud burst
Keep sensitive data and steady-state inference on your own hardware, burst training and spiky traffic to the cloud, and operate both through one GitOps pipeline.
DevOps & Platform EngineeringYour models, your hardware
Mac Studio clusters and NVIDIA racks running open models with Ollama, vLLM, and TGI. Private by default, owned outright, no per-token cloud bill.
On-Prem GPU & Model HostingDecisions where the data is born
Millisecond inference on the device with Greengrass or Azure IoT Edge, offline-first telemetry, and over-the-air updates across thousands of units.
IoT & Edge AIDeep disciplines. One accountable partner.
We don't hand you slideware. We build, secure, and operate the systems, then transfer the expertise so your team owns them.
The stack we operate.
Managed services, open source, and bare metal, chosen per engagement and handed over with the runbooks. No tool appears here that a service of ours does not actually deliver.
- Amazon Bedrock
- SageMaker
- LangChain
- LlamaIndex
- Snowflake Cortex
- OpenSearch
- MLflow
- Airflow
- Kubeflow
- AWS IoT Greengrass
- Azure IoT Edge
- Digital Twins
- OTA Updates
- MQTT
- Edge ML
- AWS
- Azure
- GCP
- Terraform
- Terragrunt
- EKS
- ECS
- AKS
- GKE
- Multi-region DR
- Snowflake
- dbt
- Apache Airflow
- Apache Kafka
- Apache Flink
- Lakehouse
- ArgoCD
- Grafana
- Prometheus
- OpenTelemetry
- Kubernetes
- Zero-Trust
- AI Red-Teaming
- Policy-as-Code
- SBOM
- Model Registry
- GDPR / CCPA
- Mac Studio M3 Ultra
- NVIDIA H100 / H200
- RTX 5090 / L40S
- Ollama
- vLLM
- TGI
- EXO
- n8n
- Webhooks
- CRM Integrations
- Slack / Email
- Custom JS / Python
- Human-in-the-loop
- Hermes Agent
- OpenClaw
- OpenRouter
- NVIDIA NIM
- Hugging Face
- Persistent Memory
- Apple / Mac
- Windows & Linux
- NVIDIA GPUs
- Dell / HP / Lenovo
- UniFi / Cisco
- NAS & Backup
- UPS & Racking
- OBS Studio
- Streamlabs
- Twitch / Kick
- YouTube Live
- Elgato Capture
- Stream Deck
- NVENC / AV1
More cloud. Less bill.
Most estates are provisioned for the busiest minute of the day and pay for it all night. We right-size, autoscale, and put cost on a dashboard someone owns, so spend follows demand instead of fear.
30–60%lower cloud spend
Zero-trust. Full audit. Built in.
Least privilege, everywhere
Role-based access and short-lived OIDC credentials for humans, pipelines, and agents alike. No long-lived keys in CI.
Guardrails around the model
Prompt-injection and adversarial defence, scoped tool access for agents, and red-team evaluation before anything ships.
Policy as code, evidence on file
SBOMs, policy-as-code checks, and a tamper-evident audit trail so GDPR and CCPA reviews start from proof rather than promises.
- 09:12:04pipeline/deployassumed role ci-deploy (15 min)
- 09:12:11terraformplanned eks/prod-cluster
- 09:14:37release-managerapproved apply prod-cluster
- 09:15:02agent/supportdenied write orders-db
- 09:15:02guardrailblocked prompt injection
- 09:18:49policyverified sbom image:api
Every action, whether by a person, a pipeline, or an AI agent, is recorded with who did it, what they touched, and whether it was allowed. Blocked entries are the guardrails doing their job.
What every engagement leaves behind.
Secrets & identity
OIDC into per-purpose roles, secrets injected at runtime, nothing long-lived in a repo or a runner.
Observability
Grafana, Prometheus, and OpenTelemetry wired through the stack, with per-model cost and latency on the same boards.
IaC & GitOps
Terraform and Terragrunt for the estate, ArgoCD for what runs on it. Every change is a reviewed merge request.
Cost governance
Budgets, alerts, and right-sizing owned by a named person, not discovered at month end.
Runbooks & handover
We build on your accounts with your engineers in the room, then leave the docs and the muscle memory behind.
A clear path from idea to production.
Frame & de-risk
We pressure-test the goal, define measurable outcomes, and ship a focused proof-of-concept fast.
Engineer to production
Hardened, observable, cost-aware systems built on AWS/Azure/GCP with security by default.
Transfer & scale
We embed the practices and mentor your team so the capability stays in-house.
Sectors we work in
If your organisation builds with AI, cloud, or data, we can help, regardless of sector.
Ready to Build The Future Together?
Tell us where you're headed. We'll map the fastest secure path from idea to production.