Put enterprise AI to work — securely and at scale
From strategy to production, Mekas helps you turn generative AI and machine learning into real business outcomes — grounded in your data and governed for the enterprise.
Business value, not just models
We know business value cannot be achieved through technology alone. Our teams pair deep cloud and security expertise with applied AI to build solutions that are accurate, trustworthy, and production-ready — integrated with the systems your business already runs on.
A complete AI delivery practice
Everything you need to go from idea to impact — advisory, engineering, and operations under one roof.
Generative AI & LLM Implementation
Design, build, and deploy production-grade GenAI applications — from private assistants to document intelligence — on the latest foundation models.
RAG & Enterprise Chatbots
Retrieval-augmented generation grounded in your own data, so employees and customers get accurate, cited answers from your knowledge base.
Intelligent Automation
Automate document processing, ticket triage, and back-office workflows with AI agents that work alongside your existing systems.
Data & AI on the Cloud
Build the data foundation for AI — pipelines, feature stores, and governance — on GCP, AWS, or Azure.
MLOps & Model Lifecycle
Operationalize models with CI/CD, monitoring, drift detection, and retraining — reliability from prototype to production.
AI Strategy & Advisory
Identify high-ROI use cases, assess readiness, and build a pragmatic roadmap that ties AI investment to business outcomes.
From proof of value to production
Discover
We assess your data, use cases, and readiness to pinpoint where AI creates the most value.
Prototype
A focused proof of value proves the outcome quickly — before you commit to scale.
Productionize
We harden, secure, and integrate the solution with MLOps and governance built in.
Operate
24/7 monitoring, evaluation, and continuous improvement keep your AI accurate and safe.
to a working proof of value, not quarters
data stays in your tenancy, private by design
monitoring and continuous evaluation in production
Common questions
Which AI models and platforms do you work with?
We are model- and cloud-agnostic. We implement solutions on leading foundation models and deploy across Google Cloud (Vertex AI), AWS, and Azure — choosing the right fit for your accuracy, cost, privacy, and latency needs.
How do you keep our data private and secure?
Your data stays within your cloud tenancy. We apply enterprise controls — access management, encryption, PII handling, and audit logging — and can deploy privately so nothing is used to train third-party models. See our AI Security practice for AISecOps.
How quickly can we see results?
Most engagements begin with a short proof of value that demonstrates a concrete outcome in weeks, not months. From there we scale what works into production.
Do we need a mature data platform first?
Not necessarily. We meet you where you are — and, when needed, build the data pipelines and governance foundation as part of the engagement.
Ready to explore what AI can do for your business?
Book a discovery call and we'll help you identify your highest-value AI opportunities.