From AI experiments to enterprise-grade platforms.
CortexStack AI Architecture Studio is a boutique agency focused on designing, building, and operationalizing cloud-native AI/ML platforms, LLM ecosystems, and AI automation that scale across your organization.
CortexStack AI Architecture Studio
We are AI Architects first, not generic consultants. Our focus is on building robust foundations: unified AI/ML platforms, standardized LLM patterns, and automation frameworks that help enterprises move beyond isolated pilots to scalable, secure AI capabilities.
We design and implement a unified AI/ML platform and automation framework that allows your teams to build, deploy, and scale AI products and intelligent workflows consistently across your organization.
- Consolidate fragmented AI efforts into one integrated platform.
- Standardize LLM usage with RAG, flows, and agent patterns.
- Establish production-grade MLOps and DevOps for AI workloads.
- Enable event-driven, real-time AI and automation.
We work with organizations that already have data platforms and cloud presence, are running AI/ML or LLM pilots, and now need a unified architecture, platform, and operating model to scale AI safely and efficiently.
AI Platform & LLM Architecture Services
We provide hands-on design and implementation of AI platforms and solutions across cloud, data, ML, and LLM ecosystems.
AI Platform Architecture & Design
Design target-state AI/ML platform architecture in the cloud, aligned with your existing IT landscape.
- Reference architectures and blueprints for AI/ML platforms.
- Data ingestion, processing, and event-driven pipelines.
- Feature stores, model training, registry & deployment flows.
- Integration patterns with data lakes/warehouses and APIs.
LLM & Generative AI Solutions
Move beyond basic chatbots to enterprise-grade LLM applications built on robust patterns.
- Design and implementation of RAG systems.
- Agent-based and flow-based LLM apps with tool integration.
- Guardrails, safety layers, and evaluation frameworks.
- Integration with enterprise APIs and internal systems.
MLOps & DevOps for AI
Treat AI as a first-class citizen with production-grade operations across the entire lifecycle.
- CI/CD for models, LLM apps, and data pipelines.
- Model registry, versioning, approvals & promotion workflows.
- Monitoring for data drift, model performance & LLM behavior.
- Infrastructure as Code for reproducible environments.
Event-Driven & Real-Time AI
Architect event-driven and streaming systems that enable real-time decisioning and personalization.
- Streaming data pipelines and event-driven architectures.
- Low-latency, online inference at scale.
- Real-time feature computation and feature serving.
- Use cases: personalization, fraud & anomaly detection, CX orchestration.
AI Center of Excellence & Governance
Institutionalize AI across the organization with a clear operating model, standards, and guardrails.
- CoE charter, roles, and operating model.
- Data and AI architecture standards & guidelines.
- LLM usage, safety, compliance & security frameworks.
- Best practices for prompt, flow, and agent engineering.
Executive Advisory & Evangelism
Bridge the gap between complex AI concepts and clear business outcomes with tailored communication.
- Executive briefings and board-level presentations.
- 90-day and 12-month AI roadmapping.
- Workshops and internal evangelism across business units.
- Support for vendor selection and build vs. buy decisions.
AI-Powered Automation & Intelligent Workflows
We design and implement AI-powered automation that combines LLMs, traditional ML, and event-driven architectures to streamline workflows end-to-end and keep humans in control where it matters.
Intelligent Workflow Automation
Move from manual tickets, approvals, and data lookups to self-service, AI-assisted workflows.
- Ingest and understand unstructured inputs (emails, PDFs, chats, docs).
- Extract intents and entities to drive downstream actions.
- Use LLM agents to call internal APIs and microservices.
- Automate multi-step business processes with clear audit trails.
Event-Driven & Real-Time Automation
Connect AI agents to your event streams to unlock real-time responsive automation.
- Enrich events with ML scores and LLM-generated insights.
- Detect anomalies, opportunities, and risks as they occur.
- Trigger real-time actions: alerts, recommendations, workflow steps.
- Design low-latency automation for customer and operations use cases.
Document & Knowledge Automation
Automate document processing and knowledge workflows, with humans reviewing critical steps.
- Document intake, classification, extraction & validation.
- RAG-based search and question answering over internal knowledge.
- LLMs for drafting responses, summaries, and reports.
- Feedback loops so the system learns from human edits.
Human-in-the-Loop Design
Build automation that augments people instead of replacing them, with explicit human oversight.
- Define approval points, override mechanisms, and review workflows.
- UX patterns where AI proposes and humans confirm or adjust.
- Monitoring of errors, edge cases, and escalation paths.
- Clear KPIs: time saved, error reduction, throughput improvement.
How We Work With You
Flexible engagement models from short architecture sprints to end-to-end platform builds and ongoing advisory.
- Architecture Sprint (4–6 weeks) Target AI/ML platform and automation architecture, integration patterns, and a prioritized roadmap of use cases.
- Platform Build & Rollout (3–9 months) Implementation of the platform with 1–3 flagship use cases in production, including MLOps, LLM apps, and automation flows.
- LLM & RAG Fast-Track (6–10 weeks) Production-ready RAG or LLM application integrated with your systems, with safety, evaluation, and observability baked in.
- AI CoE & Governance Advisory (Ongoing) Continuous evolution of your AI architecture, practices, portfolio, and guardrails, including AI automation and LLM usage.
Start Your AI Architecture Journey
Share a bit about your current AI initiatives, and we'll propose an architecture and automation-focused discovery session tailored to your context.
Replace the placeholder details below with your real contact information and forms as needed.
- Email: contact@cortexstack.ai
- Location: Remote-first, serving global clients
- Availability: Architecture sprints, platform builds, and advisory retainers