Remāngu / AI studio by Revolgy
We make AI ideas real. We ideate, prototype, and ship AI products — from a half-day discovery to a system running in your AWS account.
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Minimum 20 characters
A Remāngu engineer replies within 4 business hours. No sales deck, no pipeline nurture — just a short, written next step.
Trusted by teams that ship
What we do
We take AI ideas from “interesting demo” to running in production. Every build lives in your own AWS account. Every production system ships with the things that make it enterprise-ready — auth, audit logs, cost limits, model monitoring — built in before launch, not bolted on after.
Advanced Tier
Services Partner
AI Services
Competency
Amazon Bedrock
Foundation models — Claude, Llama, Titan — with safety filters.
Bedrock AgentCore
Managed runtime for production agents, with traces and cost visibility.
SageMaker · Step Functions
Custom ML training, evaluation pipelines, and orchestration.
EKS · Karpenter · Lambda
Compute that scales to the workload — GPU pools or serverless.
Control Tower · IAM Identity Center
Multi-account governance and federated access from day one.
CloudWatch · CloudTrail · Config
Observability, audit logging, and continuous compliance.
AWS Advanced Partner with the AI Services Competency — including the new Agentic AI Consulting category. We design for the EU AI Act, GDPR, and sector compliance from day one, not as an afterthought.
How we do it
A focused workshop for teams with an AI ambition but no clear scope. We surface three candidate projects, rank them by impact, feasibility, and reversibility — and leave you with one scoped brief.
What you get
Next step
Take the brief. Build internally, or continue with us.
A working system on your AWS account, running on real data, with evals and observability wired in from day one. Not a slide deck. Not a sandbox demo. Software you can run against production scenarios.
What you get
Next step
Keep it, iterate in-house, or continue to production.
Eligible engagements may qualify for AWS co-investment. We handle the qualification.
We take a prototype to production. Auth, RBAC, audit, cost guardrails, drift monitoring, 500+ example eval suite in CI. Milestone-based delivery, full handover to your team.
What you get
Next step
Run it yourself, or hand over to our managed ops team.
Eligible engagements may qualify for AWS co-investment.
Ongoing
Monitoring, retraining, incident response, and quarterly reviews — delivered by Revolgy’s long-standing CloudOps practice.
Selected work
Global advertising holding (Top 5 worldwide)
Multi-agency platform on Amazon EKS with Karpenter just-in-time GPU scaling. 76% cost reduction per generation versus a fixed fleet.
European visual storytelling studio
Spatial canvas grammar interpreted by Claude on Bedrock, four agentic capabilities, sub-200ms canvas response.
Global advertising network (Top 5 worldwide)
ComfyUI on AWS with multi-region GPU tiers, federated SSO, and 300+ GB shared model library. Provisioning cut from days to minutes.
AI creative tools startup
Multi-account Landing Zone with Bedrock and managed GPU WorkSpaces — 100% Control Tower guardrail compliance from day one.
Credentials
Remāngu holds two AWS designations that matter in this category. The AI Services Competency in particular requires proven production delivery, a documented responsible-AI governance practice, and operational readiness reviewed by AWS.
We design for the EU AI Act, GDPR, and sector frameworks from scoping onward — risk classification, data residency, DPIA, model cards, post-deployment monitoring. Technically fit and legally fit, by design.
AWS Advanced Tier
Services Partner
AWS AI Services
Competency
“Remāngu managed our AWS infrastructure during our fastest growth period. Their team handled incident management and scaling so we could focus on our product.”
Questions
Working software, running on your AWS account. Every engagement ends with code, infrastructure-as-code, documentation, and an eval suite that you own. No slide decks, no sandbox demos you can’t take home.