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Researchers and builders launch without infra specialists.
Agentic solution architect for AI & cloud-native applications
AiK Architect removes DevOps and MLOps friction by turning your idea into a production-ready stack and compute plan automatically.

Built for researchers, scientists, CTOs, vibe coders, and people with ideas. Skip the DevOps and MLOps bottleneck. Build complex systems without platform engineering overhead.
Mode
AFTER
Architecture and compute become self-serve for domain experts.
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Researchers and builders launch without infra specialists.
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AIK Architect generates implementation-ready architecture.
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Models, tools, and compute are recommended automatically.
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DevOps and MLOps complexity is abstracted away.
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Teams move from concept to production much faster.
Time to first deployment
Hours
Automated architecture and compute planning remove manual setup cycles.
Compute savings potential
60%+
AIK Architect finds optimum compute versus hyperscaler-only defaults.
Vendor lock-in risk
Reduced
Model and workload placement is portable across providers and regions.
Compute Optimisation Engine
AIK Architect benchmarks workload intent against model profile, latency target, region, sovereignty, and cost constraints to recommend the right GPU/CPU mix. This helps teams often save over one-fifth of compute spend compared with hyperscaler-only selection paths, while avoiding vendor lock-in through multi-provider placement.
An end-to-end path from requirements to live infrastructure—aligned with enterprise, sovereign, and regulated postures.
AiK Architect
Interprets AI, data, application, and compliance needs to frame a deployable architecture.
AiK Architect
Proposes MLOps, databases, pipelines, and APIs aligned to your constraints and sovereignty goals.
AiK Architect
Surfaces best-fit models from Hugging Face, NVIDIA NIM, open-source LLMs, and your policies.
AiK Architect
Balances GPU/CPU, region, cost, and sovereignty across 15+ providers—no separate cloud accounts required.
AiK Architect
Deploys the designed stack onto AiK Cloud so teams move from blueprint to running infrastructure faster.
Depth where platform teams usually spend weeks: model fit, provider mix, and automated rollout.
Translate use-case goals into architecture blueprints without trial-and-error platform setup.
Remove dependency on specialist DevOps and MLOps staffing for early-stage design decisions.
Reduce architecture cycle time, remove infrastructure guesswork, and ship production AI stacks in minutes instead of quarters—without sacrificing sovereignty or multi-cloud leverage.