매니패스트
Founded 2021 · 9 employees on LinkedIn · 3 known investors
Manyfast is an AI-assisted product planning tool that turns rough ideas into planning documents such as PRDs, feature specifications, user flows, and wireframes. Its AI agent "Mani" reviews plans from six perspectives (business, development, QA, UX, design, security) and converts abstract ideas into concrete development requirements, with all AI-suggested edits requiring user approval.
Also known as Manyfast · Manyfast Inc. · manyfast.io · 리오랩 · 매니패스트 주식회사
Investors · 3
Also in the syndicate · 2
Company profile
researched Aug 2026매니패스트 (Manyfast) is a workspace for product planning in which an AI agent drafts and maintains the documents that precede software development. From a short prompt, existing files (meeting notes, spreadsheets, business plans, reference images) or a prior AI conversation, the product generates a PRD, feature specifications, information architecture, user flows and wireframes, and keeps them in a structured graph data model so that edits and version history remain manageable.
The documents are reviewed by AI from multiple perspectives — business, engineering, QA, UX and security — which flags undefined policies, missing launch priorities, unhandled edge cases and unclear success criteria, citing supporting quotes from the document and the related items. Collaboration features include real-time co-editing, member invitations, external link sharing, comments (beta), version history (beta) and an activity log. Outputs can be exported to Excel, images or Markdown.
An MCP (Model Context Protocol) integration exposes the plan as structured context to AI coding and design tools such as Cursor, Claude Code, Lovable and Figma, with periodic synchronization so downstream tools reflect changes to the spec. The vendor states that customer planning data is technically blocked from AI model training, that documents are stored with field-level encryption and transmitted over TLS 1.3, and that tenants are separated via role-based access control and organization-level logical isolation.
Business model
Software-as-a-service workspace with a free entry tier ("start for free") and paid plans purchased and changed within the product; a sales/enterprise inquiry path ("도입 문의하기" / "Contact sales") exists alongside self-serve signup. Documentation covers group creation, member invitation and plan payment/changes, indicating per-organization seat-based subscriptions.
Subscription plans billed to organizations, with plan purchase and upgrade handled in-product; a free tier is used for acquisition.
Traction
The website and English blog state use by more than 2,000 product teams worldwide. During open beta the company reported over 500 global users across eight countries, and it says it has secured proof-of-concept opportunities with SK Telecom, Shinhan Financial Group and Naver Cloud. Customer statements cite planning-time reductions of over 90% on enterprise PoC projects and first drafts produced in hours rather than weeks; a demonstration built a working prototype of a McDonald's-style ordering app in about 25 minutes by connecting Manyfast output to Cursor over MCP.
Latest developments
Manyfast raised a total of KRW 400 million in seed funding from Laguna Investment and SparkLabs, earmarked for strengthening proprietary AI capability and preparing North American expansion, and renamed its corporate entity from Riolab to Manyfast Inc. It reported PoC opportunities with SK Telecom, Shinhan Financial Group and Naver Cloud and planned CES and MWC exhibitions.
▸Full profile — market position, technology, go-to-market, geography, history, risks & controversies
Market position
Positioned as a dedicated tool for the planning stage — described as the counterpart to Figma for designers and Cursor for developers — and as a "Main MCP Client"/planning agent sitting at the start of the AI-assisted product workflow. Coverage frames the longer-term ambition as an MCP-based planning platform targeting the global SaaS market occupied by vendors such as Adobe and Figma. A practitioner review notes that, as with other LLM-based tools, output is not perfectly repeatable across identical inputs, but considers it useful for rapidly structuring PoC-level plans and for junior planners.
Focus on the planning phase rather than coding or design, with outputs held as structured, version-controlled planning data rather than free-form documents; multi-lens (business, engineering, QA, UX, security) AI review that flags missing policies and edge cases; MCP-based interoperability so the same plan drives AI coding tools without copy-paste; and one-click export to Excel, image and Markdown formats for different teams.
Technology
AI agents that draft and review planning documents, operating within the plan document itself; the model surfaced in the product interface is Claude Sonnet 4.6. Deliverables are stored on a standardized graph data structure to support editing and version control. MCP (Model Context Protocol) support lets the structured plan be consumed by AI coding agents (Cursor, Claude Code, Lovable) and synchronized periodically. Security measures cited include exclusion of customer data from model training, field-level encryption at rest, TLS 1.3 in transit, RBAC and organization-level logical isolation.
Go-to-market
Self-serve free signup on the website plus an enterprise sales inquiry channel; content marketing through a company blog and documentation site; distribution support via MCP integrations with widely used AI coding tools. Proof-of-concept engagements with large enterprises are used as an enterprise entry point, and the company planned to exhibit at CES (January) in the United States and MWC in Barcelona (March) to test global competitiveness. Third-party coverage includes a Korean SaaS review series and social-media reviews by practitioners.
Product managers and planners at enterprises, startup founders and solo builders, outsourced development agencies, designers and non-technical staff running AI transformation projects. Referenced users include enterprise PMs, agency and SaaS company executives, a design agency director, and an AI planning community organizer.
Geography
Headquartered and operating in South Korea with Korean- and English-language product surfaces and blog; open-beta users spanned eight countries, and the company states it is building toward North American market entry, with planned appearances at CES in the United States and MWC in Barcelona.
History
The operating company was previously incorporated as 주식회사 리오랩 (Riolab) and renamed 매니패스트 주식회사 (Manyfast Inc.) in connection with its seed financing, marking a shift to a product-centric business. The product ran an open beta before general availability; documentation was last updated roughly five months before the sources were captured, and version management and comments remain labelled beta.
Risks & controversies
A practitioner review notes that outputs from the same requirements are not consistent between runs and that the tool cannot be expected to produce clearly differentiated new features, positioning it as suitable for PoC-level plans that a planner then refines. Version management and comment features are marked beta. Reported enterprise engagements are proof-of-concept opportunities rather than confirmed contracts.
Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Timeline · 6
launches, deals, and filingsManyfast was profiled as an all-in-one AI planning editor in Inblog's domestic SaaS introduction series, including a demonstration that produced a working McDonald's-style ordering app prototype in about 25 minutes using Manyfast plus Cursor via MCP.
Manyfast said it would participate in CES in the United States in January and MWC in Barcelona, Spain in March to validate competitiveness in global markets.
AI planning agent Manyfast raised a total of KRW 400 million in seed funding from Korean venture capital firm Laguna Investment and US-based global accelerator SparkLabs, to strengthen proprietary AI technology and build a basis for North American market entry.
In connection with the seed round, 주식회사 리오랩 changed its corporate name to 매니패스트 주식회사 (Manyfast Inc.) and shifted to a product-centered business.
The company reported securing proof-of-concept opportunities with major enterprises including SK Telecom, Shinhan Financial Group and Naver Cloud.
Manyfast offers an MCP (Model Context Protocol) integration that delivers planning documents as structured context to AI development tools such as Cursor and Claude Code, with periodic synchronization of changes, enabling code generation and hi-fi prototyping directly from specs.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
▸Research sources · 8
primary sources listed
- 매니패스트manyfast.io · web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does 매니패스트 do?
- Korean AI planning workspace that turns product ideas into PRDs, feature specs, IA, user flows and wireframes.
- Who are 매니패스트's investors?
- 매니패스트's investors include Laguna Investment.