NexaScience Inc.
NexaScience Inc. is a Tokyo-based AI infrastructure startup that develops Lnar, a Model Context Protocol-based product connecting AI agents (ChatGPT, Claude Code, others) to enterprise business systems and workflows, serving enterprise customers and developers in Japan and globally.
- Company typePrivate
- Founded2024
- HeadquartersTokyo, Japan
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What NexaScience Inc. does
NexaScience Inc. is a private Japanese AI infrastructure startup founded in October 2024 and headquartered in Shibuya, Tokyo. The company builds Lnar, a product that connects AI agents (including ChatGPT, Claude Code, and proprietary enterprise AI) to enterprise business systems and workflows via the Model Context Protocol (MCP). Lnar is offered with one-click MCP server deployment, multi-AI compatibility through a unified interface, enterprise-grade authentication and encryption, opt-out of AI-training on sensitive data, real-time monitoring, and scalable infrastructure. The company also sells Implementation Support services that provide end-to-end technology selection, integration, and ongoing operations support alongside research institutions, universities, and enterprises.
NexaScience's revenue model combines subscription-based or usage-based pricing for the Lnar platform with professional services revenue from implementation engagements. Distribution operates through both a self-serve/product-led motion (one-click deploy, dev-focused product page) and an enterprise sales motion (contact-form-based quote process, Japan-focused enterprise partnerships). The company identifies horizontal segmentation across enterprise organizations and developer personas seeking to deploy agentic AI in production, with an explicit interest in serving the Japanese market as its home geography.
Operationally, NexaScience is early-stage with 1-10 employees, founder-led, and not publicly listed. In May 2026, Sachio Semmoto (founder of KDDI) joined as advisor, and in June 2026 the company became the first Japanese startup and second Japanese entity to join the Agentic AI Foundation (a Linux Foundation body developing MCP standards alongside AWS, Anthropic, Google, Microsoft, and OpenAI). No venture funding rounds or revenue figures have been disclosed.
NexaScience Inc. firmographics
Firmographics- Name
- NexaScience Inc.
- Legal name
- NexaScience Inc.
- Website
- https://nexascience.com
- Company type
- Private
- Founded year
- 2024
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- NexaScience Inc. is a Tokyo-based AI infrastructure startup that develops Lnar, a Model Context Protocol-based product connecting AI agents (ChatGPT, Claude Code, others) to enterprise business systems and workflows, serving enterprise customers and developers in Japan and globally.
- Ownership category
- akta.pro rank
NexaScience Inc. industry classification
Industry- Product category
- AI Infrastructure Software
- NAICS
- Software Publishers (5132), Software Publishers (513210), Other Computer Related Services (541519), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)
- akta.pro secondary industries
- Low-Code/No-Code Application Platforms (HDAEAKAA), AI Governance, Risk & Compliance (GRC) Platforms (HDAAAMAA), Digital Experience Monitoring & Management (DEX/DEM, AIOps for EUC) (BPAEAIAF)
Keywords
Where NexaScience Inc. is headquartered
LocationHeadquarters
- HQ city
- Tokyo
- HQ country
- Japan
- HQ region
- Asia
Offices1 record
Markets served
NexaScience Inc. business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Operations, Marketing or Sales
Revenue model
- Lnar Product Licensing/Subscription: Lnar appears to be offered as a hosted service with MCP server hosting, real-time monitoring, and enterprise security features. Revenue likely comes from subscription-based or usage-based pricing for accessing the Lnar platform and its AI connectivity features.
- Implementation Support Services: End-to-end support for organizations looking to adopt AI, from technology selection through implementation and ongoing operations. Provides professional services revenue alongside the core product offering.
Go-to-market motion2 records
Distribution channels2 records
Marketing channels5 records
NexaScience Inc. product offering
Product offeringCore offering
NexaScience develops and sells Lnar, an AI infrastructure product that hosts Model Context Protocol (MCP) servers and connects enterprise workflows and business systems to AI agents of the customer's choice. The platform enables one-click deployment, multi-AI compatibility (including ChatGPT and Claude Code), enterprise security, opt-out of AI training, and real-time monitoring. The company also offers Implementation Support services to help organizations select, deploy, and operate AI integrations.
Product overview
NexaScience Inc. offers a unified product portfolio centered on Lnar, a core AI infrastructure product that connects AI agents to enterprise business systems and workflows. The company also provides Implementation Support services as an add-on module to help organizations adopt AI. Lnar serves as the execution layer that enables AI to interact with business operations through MCP (Model Context Protocol) specifications, while implementation support provides consulting services for technology selection and deployment.
Differentiator
Problem solved
Functional benefit
Products and services
- Lnar Lnar is an AI infrastructure product that hosts Model Context Protocol (MCP) servers and connects enterprise workflows and business systems to AI agents such as ChatGPT, Claude Code, or a customer's own AI, with one-click deployment, multi-AI support, opt-out of AI training, real-time monitoring, enterprise security, and auto-scaling infrastructure.
- Implementation Support End-to-end professional service for organizations adopting AI, covering technology selection, implementation, and ongoing operations, with NexaScience members working alongside research institutions, universities, and enterprises to design an optimal AI adoption path.
Quantifiable outcome
- Deploy MCP server in minutes without complex setup
- +1 more outcomes
Companies that use NexaScience Inc.
Customer profileSegments3 records
Ideal customer profiles3 records
NexaScience Inc. technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability4 records
Feature8 records
NexaScience Inc. partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- Agentic AI Foundation (AAIF)coreNexaScience joined the Agentic AI Foundation as a Silver member on June 20, 2026. The foundation, established under the Linux Foundation, serves as a neutral body developing open standards for agentic AI systems. NexaScience is the second Japanese entity and first domestic startup to join. The company aims to contribute to working groups focused on the Model Context Protocol (MCP) and collaborate on frameworks for safe, responsible AI deployment. Membership includes industry leaders AWS, Anthropic, Google, Microsoft, and OpenAI.
Scale indicators3 records
Recent moves4 records
Expansion highlights5 records
NexaScience Inc. competitors and assessment
Company assessmentBroad incumbents
- OpenAI: OpenAI operates ChatGPT and has adopted MCP, making it both a customer dependency for NexaScience's Lnar (which integrates with ChatGPT) and a platform threat. OpenAI's own agent and tool-use capabilities overlap with Lnar's value proposition.
- AWS Bedrock Agents: AWS Bedrock Agents provides managed AI agent capabilities with integrations into AWS services and external systems. As an AAIF member and cloud incumbent, AWS competes with Lnar on hosted agent infrastructure with significantly larger scale and enterprise reach.
- Google Vertex AI Agents: Google's Vertex AI Agent Builder enables enterprises to build and deploy AI agents with tool integrations. As a broad cloud incumbent and AAIF member, Google competes directly with Lnar at scale across the same enterprise buyer.
- Anthropic: Anthropic created the Model Context Protocol (MCP) and Claude, the foundation for NexaScience's interoperability claims. As both a spec owner and a potential platform competitor, Anthropic could host MCP infrastructure natively and squeeze third-party hosts like NexaScience.
- Microsoft Copilot Studio: Microsoft Copilot Studio is a low-code platform for building AI agents that connect to enterprise data via Microsoft Graph and connectors. It is a broad incumbent with deep enterprise distribution and overlaps with Lnar's enterprise agent enablement value proposition.
Direct peers
- Composio: Composio provides an MCP-based integration platform connecting AI agents to external tools, APIs, and enterprise systems — directly comparable to NexaScience's Lnar offering. Both compete on ease of deploying MCP servers and supporting multiple AI models.
- Zapier: Zapier connects AI agents and LLMs to thousands of SaaS applications via integrations and MCP support. It competes with Lnar for the developer/enterprise segment seeking simple AI-to-system connectivity, with stronger brand recognition and larger integration catalog.
- Workato: Workato is an enterprise automation and integration platform that increasingly adds AI agent capabilities. It competes for the same enterprise buyer seeking to automate workflows and connect AI to business systems — a market NexaScience targets with Lnar.
- n8n: n8n is an open-source workflow automation platform that has added AI agent and MCP server capabilities. It overlaps with Lnar's developer-led positioning and competes on flexibility, self-hosting, and MCP support.
- Make (Integromat): Make is a visual automation platform now adding AI agent capabilities and integrations. It addresses the same enterprise/developer need for connecting AI to business systems, with a more mature no-code workflow product than Lnar.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat4 records
Key risks6 records
Key highlights5 records
Customer concentration
NexaScience Inc. social profiles
Digital presenceNexaScience Inc. financial estimates
Financial estimateRevenue estimate
Valuation estimate
NexaScience Inc. leadership team
Management profileNumber of profiles
Profiles7 records
NexaScience Inc. funding detail
Funding detailFunding overview
Funding rounds1 record
Investors1 record
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
NexaScience Inc. M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about NexaScience Inc.
What does NexaScience Inc. do?
NexaScience develops and sells Lnar, an AI infrastructure product that hosts Model Context Protocol (MCP) servers and connects enterprise workflows and business systems to AI agents of the customer's choice. The platform enables one-click deployment, multi-AI compatibility (including ChatGPT and Claude Code), enterprise security, opt-out of AI training, and real-time monitoring. The company also offers Implementation Support services to help organizations select, deploy, and operate AI integrations.
Is NexaScience Inc. a public or private company?
NexaScience Inc. is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was NexaScience Inc. founded?
NexaScience Inc. was founded in 2024. It employs 1 to 10 people.
Where is NexaScience Inc. based?
NexaScience Inc. is headquartered in Tokyo, Japan, in the Asia region.
How does NexaScience Inc. make money?
Two revenue lines are on record. Lnar Product Licensing/Subscription is the primary driver. The others are implementation Support Services.
Who are NexaScience Inc.'s main competitors?
Broad incumbents on record are OpenAI, AWS Bedrock Agents, Google Vertex AI Agents, Anthropic and Microsoft Copilot Studio. Direct peers are Composio, Zapier, Workato, n8n and Make (Integromat).
Does NexaScience Inc. have an API?
No public API is recorded for NexaScience Inc..
What industry is NexaScience Inc. in?
NexaScience Inc.'s product category is AI Infrastructure Software. Its primary akta.pro industry code is HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs), with a secondary code of HDAEAKAA, Low-Code/No-Code Application Platforms. Its NAICS code is 5132 and its SIC code is 7372.