Mist Avinya is an engineering company spanning cloud and AI — migration and modernization, DevOps and FinOps, governance and security, and GenAI and agentic systems, delivered across AWS, Azure, and Google Cloud. We work with customers directly, and alongside the companies we support with demand generation, enablement, and delivery.
A summary of our practice areas. Each is delivered by one in-house team across cloud, data, and AI — built to run on whichever platform fits the workload, across AWS, Azure, and Google Cloud.
Platforms that scale and stay cost-efficient — landing zones, serverless and container platforms, and API-first architectures.
Workload discovery, wave planning, and low-downtime cutovers to AWS, Azure, or Google Cloud — right-sized from day one.
Faster, cheaper releases you can trust — Infrastructure-as-Code, CI/CD and GitOps paired with cost baselining, rightsizing, and governance automation.
Controls that keep multi-cloud estates compliant and auditable — architecture reviews, multi-account guardrails, service control policies and config rules, and compliance automation across clouds.
RAG pipelines, document processing, and autonomous agents on the foundation-model platform you choose — in production with full observability.
Advisory, architecture, and project-based delivery — architecture reviews, migrations, and build engagements scoped to a defined outcome, with forward-deployed engineers where it helps.
Day-two operations once systems are live — monitoring, patching, cost and security governance, incident response, and ongoing optimization against agreed service levels.
We create and qualify net-new cloud demand, then set up the meeting. More in the section below.
Beyond the engineering, Mist Avinya shows up as a business partner in three complementary ways — generating demand, building capability, and acting as a delivery arm. Pick one or combine them; each works across whichever cloud fits.
We identify and shape net-new cloud opportunities, qualify them against budget, authority, need and timing, and hand over a meeting that starts ready rather than a list that creates follow-up work. The fit is deliberately broad — whoever is best placed to deliver.
When a team wants to grow its own cloud and AI muscle, we work alongside it — sharing patterns, practices and hands-on guidance — so the know-how stays in-house after we step back. Enablement is about lifting a team's capability, step by step, to where it can run the work itself.
When you need capacity to execute, an assigned Mist Avinya pod plugs into your roadmap and does the engineering — build, modernization or day-two operations — against your priorities and standards. It is delivery capacity you can scale up or down, without carrying it permanently.
Software companies often combine all three — we can support an ISV across sales, pre-sales and customer onboarding, just enough to help the product land with its customers.
Not a lead list that creates follow-up work. We create, shape, and BANT-qualify net-new cloud demand, then set up the meeting between the customer and the partner best suited to deliver.
We started in cloud, so we understand the platforms, economics, and workloads.
We match each opportunity to the cloud and partner that fit the customer's workload and goals.
A qualified team can address the requirement and execute on the floor.
Every opportunity is business-qualified before handover, so conversations start ready.
Primary deliverable
Whatever the starting point — on-premises, another cloud, greenfield, or a modernization effort — we hand over a BANT-qualified meeting between the customer and the partner.
Talk about a focus segment →Whichever service you choose, the same engineering principles hold — we build and operate, work to shared targets, and keep the rigour in every build.
We architect, build, deploy, and operate. The assigned team stays engaged until systems are running and your team has full ownership.
Each engagement starts with shared objectives — cost, migration milestones, system uptime — and we track progress against them together.
Architecture reviews, peer code review, and security and cost gates built into every build — production-grade by default.
Tell us what you're working on. We'll share how we'd approach it.