Our Services
Artemis Lab helps businesses build, scale, and optimize their technical infrastructure. From custom AI agents to cloud architecture, DevOps practices, and workflow automation — we deliver hands-on expertise tailored to your needs.
What We Do
We’re a services company, not a SaaS. Every engagement is tailored to your specific context — your stack, your team, your constraints. We embed with your team to deliver real results.
Custom AI Agents & Solutions
We build AI systems that actually work with your data and your workflows. Not generic chatbots — custom agents that understand your business context, integrate with your internal tools, and solve real problems.
- Custom AI agents — task-specific agents for support, sales, ops, internal knowledge
- RAG systems — connect LLMs to your proprietary data (docs, DBs, wikis, tickets)
- LLM integration — OpenAI, Anthropic, open-source models, fine-tuning
- Multi-agent architectures — routing, orchestration, tool calling, guardrails
- Developer tooling — CLI tools, IDE extensions, code generation pipelines
Cloud Architecture & Infrastructure
We design, build, and optimize cloud infrastructure on GCP, Azure, and AWS. Whether you’re migrating from on-prem, optimizing costs on an existing setup, or building a new platform from scratch — we handle the architecture.
- Multi-cloud architecture — GCP, Azure, AWS, hybrid strategies
- Cloud migration — assessment, planning, execution, validation
- Infrastructure as Code — Terraform, Pulumi, CloudFormation
- Cost optimization — right-sizing, reserved instances, spot strategies
- Security & compliance — IAM, encryption, network segmentation, audit
DevOps, SRE & GitOps
We implement DevOps and SRE practices that make your teams faster and your systems more reliable. Everything as code, everything in Git, everything automated. From CI/CD pipelines to full GitOps workflows with self-healing infrastructure.
- CI/CD pipelines — GitHub Actions, GitLab CI, Jenkins, ArgoCD
- GitOps workflows — ArgoCD, Flux, Git as single source of truth
- Kubernetes — GKE, AKS, EKS, cluster management, Helm, Kustomize
- Observability — Prometheus, Grafana, OpenTelemetry, Datadog
- SRE practices — SLOs, error budgets, incident response, postmortems
Workflow Automation & Integration
We automate repetitive processes and connect your tools together. From simple email-to-Slack notifications to complex multi-step business workflows — we use n8n, Make, or custom code depending on what fits your needs.
- Workflow design — map your processes, identify automation opportunities
- n8n & Make — self-hosted or cloud, 400+ integrations
- Custom integrations — API development, webhooks, data sync
- Process automation — onboarding, reporting, approvals, notifications
- Data pipelines — ETL, synchronization, transformation, scheduling
How We Work
No cookie-cutter process. We adapt to your context, but every engagement follows the same principle: understand first, then build.
Discovery & Audit
We start by understanding your current setup, constraints, and goals. We review your infrastructure, code, processes, and team. We identify what’s working, what’s not, and where the opportunities are.
Strategy & Design
Based on the audit, we propose a clear roadmap with priorities. We define the architecture, choose the right tools, and plan the implementation in phases — so you see results early.
Build & Implement
We work hands-on alongside your team. We write code, configure infrastructure, set up pipelines, build agents. Everything is documented and version-controlled.
Support & Optimize
After delivery, we don’t disappear. We monitor, optimize, train your team, and iterate. We’re available for ongoing support or specific interventions as needed.
How We Engage
We adapt to what you need. A one-week audit, a 3-month project, or ongoing support — we structure the engagement around your objectives.
Audit & Assessment
A focused review of your existing setup with actionable recommendations. We look at your infrastructure, processes, security, costs, and team practices.
Examples
- Cloud infrastructure audit (cost, security, architecture)
- DevOps maturity assessment
- AI readiness evaluation
- Process automation opportunity mapping
Project-Based
End-to-end delivery of a defined scope. From architecture to production deployment. Fixed timeline, clear deliverables, regular check-ins.
Examples
- Build a custom AI agent for customer support
- Migrate on-prem infrastructure to GCP
- Set up a complete GitOps pipeline
- Automate onboarding workflows with n8n
Ongoing Partnership
Embedded expertise on a recurring basis. We become an extension of your team — available for architecture decisions, code reviews, incident response, and new initiatives.
Examples
- Fractional CTO / cloud architect
- DevOps/SRE team augmentation
- Continuous infrastructure optimization
- AI solution evolution and maintenance
Technologies We Work With
Cloud
Containers & Orchestration
AI & ML
Automation
Observability
Languages
Data
DevOps
Common Questions
Answers to what clients usually ask before starting a project with us.
Not really — and that’s intentional. Every company has a different stack, team size, and set of constraints. We scope each engagement based on what you actually need. We’ll give you a clear estimate after the discovery phase.
It depends on the scope. A focused audit takes 1-2 weeks. A cloud migration or AI agent build typically runs 4-8 weeks. A full infrastructure overhaul can take 2-4 months. We break everything into phases so you see progress early.
Absolutely — that’s how we prefer to work. We embed with your developers and ops team, share knowledge, and make sure they can maintain everything after we leave. We’re not here to create dependency.
GCP, Azure, and AWS. We also work with hybrid and multi-cloud setups. We’re not tied to any single provider — we recommend what makes sense for your workload, budget, and compliance requirements.
No. We’re a services company. We help you build your products and infrastructure, but we don’t sell off-the-shelf software. Every solution we deliver is custom-built for your specific needs and owned by you.
An audit is a diagnostic — we review your current setup and give you a report with prioritized recommendations. A project is the implementation — we actually build and deploy the solutions. Many clients start with an audit, then move to a project based on the findings.