AI & DATA
Build the data foundation your AI/ML needs to scale
Secure, govern, and scale AI/ML operations with structured data pipelines, automated compliance, and on-demand scaling built for enterprise speed and control.
SOLUTION OVERVIEW
Deliver AI/ML at enterprise speed
Our AI & Data solution enables enterprises to scale AI/ML workloads with secure infrastructure, governed data pipelines, and built-in compliance. Whether you’re running open-source or commercial AI tools, it supports high-performance compute (HPC), ephemeral scaling, and flexible deployments across AWS, Azure, and hybrid environments.
Designed for enterprise trust and control, our platform integrates seamlessly with your toolchains and existing infrastructure, enabling AI innovation without risking data governance, security, or performance.
BUSINESS CHALLENGES
When data, scale, & governance stall AI momentum
Infrastructure that can’t keep up with ML demand
Training, inference, and high-volume data processing strain traditional compute setups. Without elastic scaling and centralized management, AI stalls at the infrastructure layer.
Security & compliance gaps threaten AI progress
AI/ML workloads require strict data protection, identity control, and continuous auditing. Without enforcement at scale, enterprises face unnecessary risk.
Too many fragmented DevOps & MLOps workflows
Siloed DevOps and MLOps workflows create friction between teams, delay delivery cycles, weaken collaboration, and complicate governance, slowing your AI momentum.
Hybrid and multi-cloud complexity breaks visibility & control
Running AI workloads across AWS, Azure, and on-prem creates blind spots, inconsistent policies, and integration challenges, making it harder to scale securely.
Key Benefits
Built to run, scale, and secure enterprise AI & data
PLATFORM FEATURES
Hosted, automated, and compliant
Scale and secure your AI/ML workloads with DevOps integration, automated GPU scaling, and built-in compliance in your preferred environment, without the headaches.
Single-tenant hosting: Secure, isolated environments for compliance, GPU scaling, and tool flexibility.
Toolchain choice: Deploy open-source or commercial AI stacks (Hugging Face, JFrog ML, Zetaris, W&B, Anaconda).
Security enforcement: Integrated container scanning and plugin gating for trusted deployments.
Elastic provisioning: Auto-scale GPU resources across AWS, Azure, or on-prem clusters based on demand.
Real-time dashboards: Monitor GPU usage, concurrency, and costs for better capacity planning.
Cost governance: Prevent runaway spend during burst compute events with platform-native controls.
Built-in encryption and identity management: Protect AI/ML data at rest and in motion.
Continuous auditing: Enforce SOC 2, HIPAA, and FedRAMP-ready standards by default.
Vulnerability scanning: Monitor and mitigate risks across open-source dependencies and AI models.
HPC pipeline triggers: Automate scaling events from GitLab, Jenkins, or iTmethodsOne pipelines.
Integrated scaling with DevOps SaaS: Pair with our DevOps solution for seamless hybrid deployments.
Ongoing optimization: Leverage Application Managed Services (AMS) for tuning, enhancements, and cost efficiency.
Full-stack tracking: Monitor HPC usage, container health, and AI/ML model performance in real time.
Custom telemetry tuning: Fine-tune visibility with optional TAM-led enhancements.
Operational insights: Drive smarter scaling, optimization, and incident response through actionable telemetry data.
MODERNIZATION JOURNEY
Fast Setup, Ongoing AI Growth
ENGAGEMENT MODELS
Flexible subscriptions & HPC co-management
Our AI & Data solution offers flexible subscription plans with 1-, 2-, or 3-year terms. Tiers scale from basic HPC to enterprise-grade compliance, hosted on AWS or Azure and fully managed by iTmethods or deployed in your own cloud environment with enforced controls.
Foundation
Basic HPC scaling, standard security, single-tenant hosting for open-source tools. Ideal for mid-market SaaS or regulated sectors like BFSI and healthcare.
Premier
Efficient GPU scaling, automated compliance, and resource optimization. Suited for robust MLOps and frequent AI updates.
Enterprise
Large-scale HPC, FedRAMP compliance, advanced gating, dedicated TAM. Perfect for BFSI, healthcare, or multi-region AI expansions.
Frequently Asked Questions
Managed AI platform FAQs
Yes. We support stacks like PyTorch, Hugging Face, and Kubeflow within single-tenant AWS or Azure environments with HPC scaling for AI training, inference, and model development.
Our platform provisions GPU nodes on demand, tracks usage in real time, and shuts down resources after tasks are complete — optimizing costs and enforcing compliance automatically.
Absolutely. Link HPC triggers to GitLab, Jenkins, or iTmethodsOne DevOps pipelines for seamless, secure AI/ML workflow automation.
Yes. Our platform includes options for continuous HPC, adoption, and compliance optimization through Application Managed Services (AMS) and optional Professional Services engagements.
Yes. Enterprises can choose co-managed or fully managed HPC models with AMS, enabling continuous analytics tuning, scaling enhancements, and compliance management.
We support AWS, Azure, and on-prem GPU clusters, all unified under centralized security, compliance, and governance frameworks.
Yes. If compliance and audit trail requirements are met, we deploy single-tenant AI & Data environments within your AWS or Azure cloud accounts.
AI Workbench provides a fast pilot option for launching HPC-enabled AI initiatives. Customers can start there and transition to a full iTmethodsOne ARR subscription for deeper scaling, governance, and platform integration.
Ready to Get Started?
Get your AI/ML initiatives moving today
Simplify HPC, secure your AI toolchains, and unify DevOps with MLOps. Our AI & Data platform delivers dedicated hosting, scalable HPC, top-tier compliance, and flexible subscriptions. Ready to transform your AI strategy? Let’s talk!
