Agent EngineeringAgent Engineering
We design and build agents that orchestrate LLMs around your business rules and approval points.
- LLM orchestration
- RAG
- Evaluation & guardrails
Noventis, your AI transformation engineering partnerRepetition to AI.
Judgment to people.
We build AI agents, data pipelines and full-stack products
that automate the repetitive work inside companies.
AI agentsData pipelinesFull-stack engineering
What we do
Separate technologies,
one automated workflow.
We connect four areas of expertise
into automation that actually runs,
proven on client projects.
Media & ContentMedia & Content
We turn repetitive content operations (multilingual subtitles and translation, content conversion, review) into automated pipelines. We don't produce content for you; we build the systems your team runs.
- Generative AI
- STT·TTS
- LoRA
Marketing & DataMarketing & Data
We automate the operating loop from creative generation to publishing, performance analysis and issue monitoring.
- Ad ops automation
- Monitoring & analysis
- KPI dashboards
PlatformPlatform
We build iOS and Android apps, web, backend and admin consoles end to end.
- Swift·Kotlin
- Flutter·Next.js
- Supabase·PostgreSQL
Our work
Built in the field,
a record of change.
From research to delivery and operation.
Client projects and our own product.
13 countries0
AI subtitle and dubbing translation
Tocom Media Delivered
More languages for content,
less repetition in operations.
Subtitle and dubbing translation system, marketing operations automation, custom CMS agent
2026.01Genesis Lab
Agentria platform testing and agent design advisory
Red Dog Culture House
Content and global localization partnership (MOU)
Tocom Media
AI subtitles & translation (13 countries), marketing ops automation, CMS agent
KShort
Short-drama OTT app and admin
Korea Milk Checkoff (우유자조금)
Media monitoring system
Fox Edu
Educational shorts platform PoC
Habito
AI family task manager (our own product)
How we work
Start with diagnosis.
Aim for changed work.
We separate what to automate from what people decide, and move validated scope into operation first.
- 01
AX diagnosis
We map repetitive work and data flows, then separate what to automate, where people decide and where approval is required.
- 02
Agent design
We define inputs, outputs and approval rules for each task, and when to hand off to a person on failure. Brand facts and tone come first.
- 03
Build & PoC
We build agents on real business data and people review the results. Only validated scope moves into operation.
- 04
Operate & improve
We measure throughput, errors and review time, re-measure on the same basis, and widen the agents' scope.
Insights
What we learned
doing AX in the field.
Harnesses, decision models, MCP, GEO and AX case studies. Articles are written in Korean.
Google's new Gemini tools for small businesses: how far an off-the-shelf AI app goes, and when a company should commission a build
On October 20, 2026 Google added a business landing page, remembered brand styles with image generation, receipt and spreadsheet finance summaries, and connections to apps such as Shopify, Canva and Xero to the Gemini app. A guide to which work an off-the-shelf AI app should handle first, when shared rules or writes into other systems call for a custom build, and what to ask a vendor.
Microsoft's 'agentic insider' warning and NorForge's Cairn report: what companies should decide to register and monitor their own AI agents like staff
On October 19, 2026 Microsoft security EVP Hayete Gallot wrote that companies should treat the AI agents they deploy as 'agentic insiders' and monitor them continuously. The same day NorForge reported attackers running AI agent control panels exposed without authentication, holding hundreds of secrets. How companies should set up an agent inventory, dedicated identities and permissions, continuous monitoring, control-panel protection and decommissioning.
Anthropic's internal employment report: as AI agents multiply, human review becomes the bottleneck. What companies should decide first
On October 16, 2026 Anthropic reported that employee-directed agents worked six times as many hours as employees and that about 80% of interactive session time was spent waiting for human input. The report's numbers, and how companies adopting AI agents should set review rules, escalation, decision records and human-time measurement.
Partners
Genesis LabAI advisory; Agentria platform testing and agent design advisory
Red Dog Culture HouseContent and global localization MOU
Adone StudioContent localization
PlaymoreAI social platform (Amigo) collaboration
IMINGIntegrated online marketing agency partner
WebgroundIntegrated online marketing agency partner
W KoreaFashion & lifestyle media collaboration
Healing HubGlobal partnership platform for Korean dermatology and plastic surgery clinics
Questions?
From starting AX to working with Noventis.
What should I check before reviewing a PoC and moving to operation?
Noventis describes reviewing results on real business data and moving validated scope into operation. When considering adoption, check the reviewer and approval or rejection criteria, how throughput, errors and review time are measured, handoff conditions when a task fails, and the scope moving to operation in the proposal and contract. These review items do not guarantee any individual project's features or results.
Sources: Noventis · AX diagnosis through operation · Accuracy review criteria (Korean) · Items to check in an operating contract (Korean)
What does Noventis do?
Noventis is an AI transformation (AX) engineering team. We automate business work for companies by combining AI agents, data pipelines and full-stack engineering. Founded in July 2025 in Mapo, Seoul, we have validated four areas on client projects: AI agents, media, marketing data and service platforms. We are not a studio that produces video or ad content for you; we design and build systems that automate a company's repetitive work.
What is AX (AI transformation)?
AX stands for AI Transformation: changing how an organization works so that AI agents do the repetitive work while people keep judgment and approval. Noventis works by the principle “Repetition to AI, judgment to people” and covers diagnosis, design, build and operation.
Sources: Ministry of Trade, Industry and Resources · Manufacturing AX results: 30% productivity improvement across 170 sites (Seoul Shinmun, September 11, 2026; Korean source) · Korea Policy Briefing · Large-scale AI transformation projects begin (Korean source)
What has Noventis automated so far?
We have validated four domains on real client projects. (1) AI agents: Agentria platform testing and agent design advisory for Genesis Lab; CMS and marketing operations agents for clients. (2) Media & content: Fox Edu educational shorts PoC; AI subtitle and dubbing translation for 13 countries. (3) Marketing & data: marketing operations automation; a media monitoring system for Korea's milk checkoff board (in operation). (4) Service platforms: KShort short-drama OTT app and admin; full-stack iOS, Android and backend.
How do I contact Noventis?
Email us at contact@noventis.io. We reply in Korean and English. Our address is 4F, 13 Yeonnam-ro, Mapo-gu, Seoul, Republic of Korea.