Your dedicated AI team - embedded in your org, scaling with your needs. Lunari engineers continuously evolve, extend, and optimize your AI systems.
Join 4,000+ companies already growing
Your dedicated AI team - embedded in your org, scaling with your needs.
Building AI capabilities internally takes years and millions in hiring costs. Only one in five employees has adequate AI knowledge, and 16% of organizations cannot find new hires with the skills to address AI implementation gaps. Even when you find talent, assembling a complete AI team requires rare combinations of ML engineers, infrastructure specialists, and business analysts.
Our AI Delivery Teams integrate directly into your organization as an extension of your workforce. Each team combines senior engineers and business analysts who assess optimization opportunities while building and maintaining your AI systems. We scale from single specialists to full cross-functional teams.
Unlike traditional consulting, our embedded teams become part of your operations, working within your tools and workflows while bringing expertise that would take years to develop internally. This delivers immediate AI capabilities without recruitment overhead while building knowledge that stays with your organization.
The right specialists for every AI challenge.
Senior ML Engineers
Build and optimize machine learning models, implement training pipelines, and deploy inference systems at scale - from classical ML to transformer architectures and custom neural networks.
DevOps Specialists
Design cloud-native architectures, manage Kubernetes clusters, implement CI/CD for ML models, and ensure reliable, scalable deployment across hybrid environments.
Process Experts
Assess operational workflows, identify automation opportunities, translate business requirements into technical specifications, and measure ROI of AI implementations.
Data Engineers & Platform Architects
Construct data pipelines, manage vector databases, implement real-time streaming systems, and build the foundational platforms that power AI applications.
Full-Stack Software Engineers
Develop user interfaces, API integrations, and application logic that connects AI capabilities with existing business systems and end-user experiences.
AI Solutions Architects
Design end-to-end AI system architectures, evaluate technology stacks, create integration blueprints, and ensure scalable, maintainable AI solution designs.
Candice Wu
Product Manager, Sisyphus
Dedicated Team Impact
Why embedded expertise delivers faster results.
72%
Of AI leaders rely on external experts to fill capability gaps
Even the most AI-mature organizations bring in outside talent for roles like ML Ops, retrieval systems, and infrastructure — where speed and specialization matter most.
3-6x
Faster time to production
Dedicated AI teams with established workflows and proven frameworks deploy systems 3-6x faster than newly assembled internal teams learning on the job.
65%
Cost reduction vs internal AI hiring
Building a full-stack AI team internally can cost up to 3× more than augmenting with external experts.
80%+
Of companies plan to scale AI using hybrid internal–external teams
The majority of mature AI adopters now blend internal ownership with external specialist teams — rather than choosing one model.
Flexible team engagement. Embedded execution. Proven collaboration rhythms.
Embedded, not outsourced
Our teams plug into your internal workflows, tools, and rituals - from Slack and GitHub to Jira and Confluence. We don’t deliver in isolation; we work shoulder-to-shoulder with your team.
Cross-functional by default
Each delivery unit includes senior AI engineers and business analysts. Add-on roles (e.g., MLOps, data engineers, retriever specialists) can be added as needs evolve.
Flexible scaling model
Start with one specialist or spin up a complete delivery pod. We scale up/down based on project stage, workload, or experimentation horizon - no long-term lock-in.
Rapid
onboarding
Most teams are integrated and contributing within 2–3 weeks. Standardized kickoff processes, system handoff checklists, and shared documentation templates ensure zero drag on your internal team.
Knowledge transfer built-in
We prioritize documentation, internal walkthroughs, and decision logs - ensuring long-term maintainability even after we roll off or transition to a support mode.
Everything you need to know about working with a Lunari AI Delivery Team.