Multi-cloud consulting · deployment · AI solutions

Cloud consulting and AI solutions for companies ready to scale.

Colonypilot is an IT cloud solutions company helping teams design, deploy, and operate secure infrastructure across AWS, Azure, Google Cloud, private cloud, and other server platforms — with practical AI integrations and agent-ready infrastructure for modern automation.

Cloud migration · Database & data warehouse management · AI integration

Solution delivery framework
Discovery to managed operations
01 · Assess

Cloud readiness, workloads, cost, risk, and application architecture

02 · Design

Landing zones, networking, IAM, databases, data warehouses, CI/CD, observability

03 · Deploy

Production rollout, migration, automation workflows, AI integrations, and handoff

Multi-cloud
Providers
Agents
AI ready
24/7
Operations
IAM
Security
Application deployment pipelines
Servers, storage, databases, data warehouses, and software platforms
AI solutions, integrations, and autonomous-agent runtime foundations

Deploy across the clouds and platforms you already trust

AWS logo AWS Amazon Web Services
Azure logo Azure Microsoft Cloud
Google Cloud logo Google Cloud GCP
Kubernetes logo Kubernetes Managed platforms
Private cloud Self-managed
Hybrid & VPS Dedicated servers

AWS, Azure, and Google Cloud are just the start — we also deliver on private cloud, hybrid infrastructure, VPS and dedicated servers, Kubernetes platforms, and managed hosting environments where appropriate.

Integrates with GitHub, GitLab, Bitbucket, Docker, Kubernetes, Terraform, Cloudflare, NVIDIA, PostgreSQL, MySQL, MongoDB, Redis, Snowflake, Redshift, BigQuery, Databricks, Fivetran, dbt, Airflow, Kafka, Grafana, Prometheus, and Elasticsearch.

Cloud architecture & engineering

Far beyond VMs — your entire cloud, architected and built.

Most teams use a fraction of what AWS, Azure, and Google Cloud offer. We design the right architecture, hand you the diagrams, and build it end to end — secure, observable, and yours to own.

01

Plan

We assess your workloads, goals, and budget, then choose the right architecture and service mix across AWS, Azure, and Google Cloud.

02

Diagram

You get clear, documented architecture diagrams — exactly what we're building and why — that your team owns and understands.

03

Execute

We provision it with Infrastructure-as-Code, wire up security and observability, and hand off a running, production-ready system.

The whole catalog

Not just compute — the services your workload actually needs

One platform, set up for you across providers — AWS named first, multi-cloud where it helps.

Compute

EC2 · Azure VM · Compute Engine

Serverless

Lambda · Functions · Cloud Run

Containers

ECS / EKS · AKS · GKE

Storage

S3 · Blob Storage · Cloud Storage

Databases

RDS / DynamoDB · Cosmos DB · Cloud SQL

Networking & CDN

VPC / CloudFront · VNet · Cloud CDN

Data & Analytics

Redshift / Athena · Synapse · BigQuery

AI & ML

SageMaker / Bedrock · Azure AI · Vertex AI

Security & IAM

IAM / KMS · Entra ID · Cloud IAM

The diagram you own

A reference architecture, tailored to you

Every engagement ships with clear architecture diagrams — here's the shape of a typical highly-available, multi-AZ production setup we design and provision with Infrastructure-as-Code.

AI infrastructure

Runtime infrastructure for autonomous AI agents.

OpenClaw, Hermes Agent, and custom agent systems need more than a chatbot endpoint. They need secure sandboxes, tool gateways, queues, vector stores, model APIs, observability, and permission boundaries.

Sandboxed execution
Tool gateway design
GPU and inference routing
Agent memory and data planes

Agent cluster

Hermes · OpenClaw · Custom workers

Tools

Policy

Memory

Production cloud fabric

Compute · Storage · Databases · Queues · Observability

99.99%

target uptime architecture

3

major clouds — AWS, Azure, GCP

24/7

monitoring-ready operations

IaC

everything provisioned as code

Solutions

Built for companies that depend on cloud execution.

Startups scaling fast

Launch on a clean cloud foundation with deployment automation, managed databases, cost visibility, and room for AI-native services.

Enterprise modernization

Move legacy workloads and data platforms into secure multi-cloud patterns with governed access, observability, and compliance evidence.

AI labs & agent teams

Run autonomous agents, tool gateways, inference APIs, vector stores, data warehouses, and GPU-backed workloads on dependable infrastructure.

Engagements

Start with the right operating model.

Choose a project sprint, managed cloud platform, or a custom AI infrastructure engagement.

Launch

For a first production deployment or migration sprint.

Project

  • Cloud readiness review
  • Landing zone setup
  • CI/CD deployment path
  • Database and automation assessment

Scale

For teams that need ongoing platform operations.

Popular

Managed

  • Multi-cloud infrastructure
  • Database and warehouse operations
  • Observability and alerting
  • Automation workflow improvements

Autonomous AI

For agent runtimes, AI integrations, and dedicated execution infrastructure.

Custom

  • Agent runtime design
  • Sandboxed tool execution
  • Model, warehouse, and data integrations
  • Security controls

Security-first cloud delivery

Least privilege, audit trails, encryption, backup strategy, and compliance-ready evidence.

IAM reviews
Encrypted data
Audit logs
SLA design

Ready to pilot your cloud and AI infrastructure?

Tell us what you are deploying. Colonypilot will map the architecture, cloud path, and AI integration plan.