SYSLEA Inc. Officially Releases AI-Native CRM 'Frictio'

SYSLEA Inc. (Headquarters: Shinagawa-ku, Tokyo; CEO: Yusuke Ohashi; hereinafter referred to as "the Company") has officially launched its AI-native CRM, 'Frictio'. Frictio is a CRM that automatically acquires and structures the context of sales conversations with customers using AI, enabling end-to-end automation from organizational data accumulation to execution support.

Frictio automatically acquires and structures the context of conversations that traditional CRMs could not capture—customer's true feelings, background of issues, mentions of competitors, and decision-making sentiment—and accumulates them as organizational assets. Furthermore, based on the accumulated context, AI agents autonomously execute tasks such as CRM updates and follow-ups. By integrating with existing CRMs like Salesforce and HubSpot, it expands the 'System of Record' that records results into a 'System of Action' where AI takes action.

In addition, to further accelerate business development, we are pleased to announce that we have raised ¥610 million in seed funding through a third-party allotment of shares with JAFCO Group (JAFCO) as the lead investor, in addition to venture debt from the Japan Finance Corporation. Background of 'Frictio' Development Amidst whispers of 'SaaS is Dead,' in an era where AI agents autonomously perform tasks, software that merely allows humans to operate screens and record data is losing its value, necessitating a shift towards systems that generate knowledge from data and support decision-making.

However, the reality on the sales front is contrary to this trend. Sales representatives spend only 30% of their total time interacting with customers (Salesforce "State of Sales" survey), with the rest consumed by administrative tasks such as data entry and document creation. Moreover, traditional CRMs only record 'results' (status and amounts). The majority of 'contextual data'—such as customers' genuine voices, the background of their issues, and competitor information—which holds the most value in the AI era, is not recorded in the system and is instead lost as tacit knowledge of individuals. According to IDC and Box research, approximately 90% of data within companies is unstructured and lost without being recorded in systems, and most of the recorded data remains inaccurate or incomplete. As a result, only about 1% of sales data is structured and accumulated to a level usable by AI. This 'loss of context' is the most serious structural challenge for CRMs in the AI era.

Frictio realizes the 'System of Action' that updates this 'input-centric' work style. Simply by conversing with customers, AI understands and organizes the content, autonomously handling the execution of necessary tasks.

With the urgent need to improve individual productivity due to the declining working population, our company aims to create a completely new way of working through Frictio by eliminating the task of 'input' itself, allowing everyone to focus on creating customer value. 'Frictio' Service Overview Frictio automatically acquires (Capture) important data from customer communications and organizes it as structured data within the CRM (Contextualize). By simply communicating, it builds a high-quality database. It then seamlessly realizes a series of workflows up to autonomous execution by AI agents (Agent). It not only eliminates the input burden on the field but also provides management with objective data necessary for decision-making in a constantly updated state.

Frictio's features consist of three core functions aligned with the data flow, and integration/extension functions that handle connection to existing business workflows.

・Capture -- Automatically acquire customer touchpoints without omission ・Multi-channel Automatic Acquisition Through calendar integration, automatically detects, records, and transcribes online meetings (Zoom / Google Meet / Microsoft Teams, etc.). Face-to-face meetings support offline recording via the mobile app. It also automatically acquires data from phone calls and emails, capturing customer touchpoint information without omission. Speech recognition accuracy is over 95%. High-quality summaries and action items are automatically generated by AI immediately after the meeting ends.

・Contextualize -- Structure acquired data and accumulate it as context ・Frictio Contextual Index (AI Data Foundation) An AI data foundation that structures multi-channel data acquired through Capture in three dimensions: time-series x context x data source (channel). It automatically links and integrates information from meetings, emails, chats, etc., related to the same deal, building a comprehensive view of the deal that cannot be seen through a single channel.

・Contact / Company / Deal Management Automatically links and structures acquired conversation data by person, company, and deal. Accumulates the overall relationship with customers in the CRM without relying on the salesperson's memory.

・Playbook Equipped with information extraction templates tailored to the sales process. AI automatically extracts and categorizes important sales contexts from conversations, such as customer issues, budget, competitors, and decision-making structure, making them usable as organizational knowledge.

・Agent -- AI autonomously executes tasks based on accumulated context ・AI Research Agent Combines accumulated context with external information for AI to autonomously execute deal preparation and customer analysis. Sales representatives can significantly reduce the time spent on research and information gathering, allowing them to focus on direct interaction with customers.

・Automatic CRM Update After meetings, AI automatically updates activity records, deal stages, and contact information in Salesforce and HubSpot based on the context. Sales representatives can keep the CRM up-to-date simply by reviewing and approving.

・Deal Insights Based on accumulated context, AI automatically analyzes deal risks, progress, and next actions. It detects signals that humans might overlook, such as increased competitor mentions, decreased engagement from decision-makers, or changes in contact frequency, and notifies them as alerts.

・Follow-up Suggestions Based on past conversation context, AI suggests optimal follow-up content and timing. It automatically drafts context-based actions such as thank-you emails after a deal, reminders for unanswered items, and re-engagement with lost customers.

・Integration & Extension -- Seamlessly connect to existing business workflows ・CRM Integration (Salesforce / HubSpot) Native support for Salesforce and HubSpot. Automatically completes tasks from lead search to activity record updates immediately after meetings, dramatically improving CRM data quality and freshness.

・Business Chat Integration (Slack / Teams) Integrates with business chat tools such as Slack. Automatically notifies channels of meeting results, enabling real-time information sharing within the team.

・External Integration Platform (MCP / API / Webhook) Supports MCP (Model Context Protocol), REST API, and Webhook. Enables flexible integration with internal business systems and AI tools, allowing Frictio to be expanded as the core of the customer data platform.

*Some of the above features are under development and their availability and content may change.

Voices from Early Adopter Companies Frictio has already been adopted by approximately 170 companies through early access.

▽ Userbase Inc. Sales deal data, which was fragmented across multiple products, has been consolidated, establishing a foundation for structuring the company's primary information. Through Frictio's data integrated with AI for our unique 'automated deal preparation and feedback' mechanism, we have achieved both reduction in field workload and precise issue setting based on objective data. It functions not just as a meeting minutes tool, but as infrastructure that enhances the quality and speed of business decision-making, serving as the foundation for our enablement team of 3 people to support a sales organization of 300.

▽ DIGGLE Inc. Our previous transcription tool lacked a summarization function, leading to significant effort in CRM input and revisions. After implementing Frictio, a highly accurate summary is generated immediately after a meeting, reducing the overall task workload, including CRM registration, by an estimated 1/5. The comprehensive and balanced summaries have improved internal information sharing to the point where regular sharing meetings are no longer necessary, and have also contributed to the training and skill development of CS representatives utilizing accumulated data. Future Outlook Frictio aims to transition from the conventional ecosystem of pieced-together tools to an 'AI-native ecosystem' where AI agents autonomously perform tasks.

Current CRMs are limited to recording results (System of Record) such as 'who, when, and for how much a deal was made.' Frictio provides a 'context layer' that accumulates customer relationships and conversation backgrounds. With this data foundation in place, the need for manual input and operation by humans will disappear, realizing a 'No Entry, Review Only' world where tasks are completed by AI drafting and humans reviewing.

To achieve this, we will focus on the following initiatives: ・Further Strengthening of AI Foundation: Continuously improve the data capture accuracy across multi-channels such as meetings, phone calls, emails, and chats, dramatically enhancing the depth of customer understanding within sales organizations.

・Expansion of Agent Functions: Aim for a future where AI agents autonomously support the entire sales process, extending beyond automatic data acquisition and structuring to include follow-ups and reporting.

・Expansion of Adoption by Companies: Accelerate deployment, primarily targeting SaaS and IT companies, to contribute to the productivity improvement of sales and customer success organizations.

Through Frictio, our company aims for a dramatic improvement in productivity, enabling the creation of results equivalent to ten people by one to two people in all customer-facing operations. We aim to realize a completely new business environment where not only the task of 'input' but also traditional system operation tasks are freed from human involvement, allowing everyone to focus on creating customer value. Funding Details ・Amount Raised: ¥610 million ・Funding Method: Third-party allotment of shares (¥410 million), Loans (¥200 million) ・Shareholders: JAFCO Group (JAFCO), Angel Investors ・Lender: Japan Finance Corporation

JAFCO Group Co., Ltd. Partner Atsushi Fujii

In growing an organization, it is extremely important to grasp the raw data from the field and iterate on PDCA. However, in reality, a counterproductive phenomenon occurs where valuable sales resources are consumed by the activity of recording this data.

'Frictio' liberates the field from data input and management, creating an environment where they can focus on data utilization and actual sales activities. We decided to invest with the expectation that this service will become indispensable infrastructure for dramatically enhancing an organization's sales capabilities.

We feel a strong sense of confidence in the success of the SYSLEA team, who have a high-resolution view of the future of sales organizations and AI evolution, and provide a highly polished service with meticulous attention to detail.

Comment from Our CEO

SYSLEA Inc. Representative Director & CEO Yusuke Ohashi

'Not entering data into the CRM' is by no means laziness on the part of the field staff. The very structure where people spend time melting away to record in systems, leading to the loss of genuine customer interaction, is now at a historical turning point.

The world is irreversibly shifting towards an era where AI autonomously handles tasks. Within this major wave, we are redesigning software to be AI-native and are seriously working to create a new business environment for humans to work like humans. The official release of 'Frictio' and this funding round are, in our view, the first step towards liberating people from behind-the-scenes tasks with tools. With the strong support from investors like JAFCO, we will further accelerate the resolution of this structural issue.

We sincerely look forward to witnessing and co-creating a new history at the moment a paradigm shift occurs, where past work becomes non-work, and everyone can focus on genuine customer engagement. We are also eager to meet members who will join us in creating this new history.

▽ Recruitment Information We are looking for colleagues to co-create the future of work with us. Please see below for recruitment information. Recruitment Page: https://herp.careers/v1/syslea Initiatives Regarding Security Systems To ensure that our customers can entrust their important data with peace of mind, we are working to improve the reliability of our security systems through third-party audits and certifications based on international security standards.

① Receipt of SOC 2 Type 1 Report (Completed February 2026) We have completed the audit for "SOC 2 Type 1 (Subject: Frictio)" under the internal control assurance reporting framework established by the American Institute of Certified Public Accountants (AICPA). This report can be provided to customers who have signed an NDA (Non-Disclosure Agreement).

② Acquisition of ISMS (ISO/IEC 27001:2022) Certification (January 2025) We have obtained the international standard for information security and strive for appropriate management and continuous improvement of information assets from development to operation. Free Trial Information We are currently offering a free trial of Frictio. If you are interested, please contact us via the link below.

▽ Demo Reservation Form https://frictio.ai/contact Company Overview Headquarters Location: Osaki Bright Core 4F SHIP, 5-5-15 Kita-Shinagawa, Shinagawa-ku, Tokyo Representative: Yusuke Ohashi, Representative Director & CEO Established: June 2023 Capital: ¥100 million Business Description: Development and provision of AI-native CRM 'Frictio' Company HP: https://syslea.io/ Frictio Product Description Page: https://frictio.ai/