AtelaMind is the boutique advisory that provides large enterprises with the senior architectural expertise and MLOps rigor to move AI from concept to production—safely and with confidence.
Trusted by enterprise teams in regulated industries
Energy & Utilities • Financial Services • Industrial & Manufacturing • Public Sector
Comprehensive AI and MLOps consulting to help enterprises build trustworthy, production-ready AI systems.
Target architecture, platform roadmaps, reference designs for data + ML + GenAI across hybrid/multi-cloud.
RAG, orchestration, evaluation, and safety patterns tailored to your stack and risk posture.
CI/CD for models, feature stores, observability, governance, and cost/perf tuning.
Policies, model risk controls, evaluation frameworks, and responsible AI processes.
Deep dives for M&A/VC: code, infra, data, and scalability assessments.
Part-time executive leadership to align AI with strategy, outcomes, and compliance.
Our proven methodology takes you from AI strategy to production deployment with confidence.
Clarify outcomes, constraints, and readiness.
Reference architectures, guardrails, and operating model.
Thin-slice use cases to prove value and de-risk.
Productionize with MLOps, observability, and SLOs.
Lifecycle controls, evaluation, and compliance by design.
We specialize in high-stakes, regulated environments where reliability, security, and governance matter as much as speed.
Real-world impact across enterprise AI initiatives.
Designed a secure, multi-region GenAI architecture and evaluation strategy for complex knowledge management and engineering workflows.
Architected a secure, multi-step AI agent for automated compliance checks, including tool use and human-in-the-loop escalation patterns.
Designed the MLOps and Feature Store architecture to productionize a portfolio of predictive maintenance models across multiple factories.
Developed an AI governance framework and model risk assessment process to meet regulatory requirements for public-facing services.
Implemented MLOps foundations with CI/CD for models and observability to standardize model delivery and monitoring across teams.
Performed deep technical due diligence on an AI platform's scalability, data security risks, and unit economics for a Series B investment.
Flexible engagement options to match your needs and timeline.
Ongoing guidance for architecture, governance, and technical decisions.
Blueprint for a priority use case (architecture, risks, and delivery plan).
Part-time leadership to align AI strategy, portfolio, and ROI.
We typically work on multi-month retainers. Availability is remote-first (CET).
Let's align architecture, governance, and delivery so AI creates durable business value.