Restate raises $20 million in Series A round to develop reliable execution infrastructure
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Restate raises $20 million in Series A round to develop reliable execution infrastructure

Restate, a Berlin-based company, has successfully raised $20 million in a Series A funding round. The round was led by Singular, with participation from Redpoint Ventures and Capital One Ventures. This investment brings Restate's total funding to $27 million.

The company, founded by the creators of Apache Flink, develops infrastructure for building reliable distributed applications. Its technology allows software to recover from network failures, crashes, and interrupted processes. Currently, Restate serves hundreds of enterprises across various industries.

Restate raises $20 million in Series A round

The capital raised will be used for the further development of the company's products. Additionally, Restate plans to expand its presence in the United States, including opening a new commercial center in San Francisco. The company focuses on modern applications that have high requirements for task execution, such as distributed backends, enterprise workflows, and AI agents.

Restate asserts that its infrastructure is already used in mission-critical applications. For example, Replit uses Restate to ensure reliable orchestration within the Replit Agent. Other mentioned clients include DOSS and BILT Rewards. The company previously received funding involving Redpoint Ventures.

The reliable execution feature allows applications to remember completed work, enabling the software to resume from a previous state after any interruption. This significantly reduces the need for developers to build recovery systems for every process themselves.

The growth of AI agents has created new infrastructure challenges. These agents can function longer than many traditional applications and are capable of executing model calls and interacting with external tools. Such systems can communicate with each other as well as with humans.

Because these systems can change direction during execution, more states and interactions arise that must be preserved during unexpected failures. Stefan Yuan, CEO and co-founder of Restate, emphasized that resilience must become an integral part of the infrastructure. He justified his position by noting that modern software includes services, agents, workflows, and state.

Restate aims to solve these challenges through a distributed log and an event-driven orchestrator. The company's architecture places the log at the center of execution, state, and communication, without requiring an external database or search engine.

Restate's architecture reflects the experience of the founding team. Yuan and his co-founders previously created Apache Flink, which became important infrastructure for real-time data processing. Restate applies similar infrastructure principles to the execution of modern applications.

The company's platform supports stateful features, stateful applications, and communication. Recently, the Bring Your Own Cloud service was launched, allowing customers to run managed Restate in their own cloud accounts while keeping application data in their own infrastructure.

Replit adopted Restate when updating the architecture underlying the Replit Agent. Michelle Katasta, President and Head of AI at Replit, described Restate as a runtime for reliable execution. The company announced that Restate is now responsible for reliable orchestration in its agent platform.

The new funding provides Restate with additional resources for the next stage of growth. The company plans to hire more engineers and build a go-to-market team. Expansion in the San Francisco Bay Area is also planned.

In recent months, Restate has secured several significant contracts with clients. Its client base includes AI companies and major financial institutions. The company is also working to achieve wider adoption of its technology in the corporate sector.

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Ande raises $52 million to scale its AI-powered corporate entertainment network
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Ande raises $52 million to scale its AI-powered corporate entertainment network

Ande, which has emerged from stealth mode, announced the raising of over $52 million in funding, combining seed and Series A rounds. Leaders of this round included Lightspeed Venture Partners, Redpoint Ventures, Duration Ventures, and Sierra Ventures; Bain Capital Ventures also participated in the financing.

The company's main goal is to service large enterprises' expenses for corporate events. These expenses include client dinners, team outings, sporting events, catering, and corporate gifts. Enterprises are estimated to spend around $325 billion annually on such activities.

Despite significant spending, the booking process remains fragmented across various systems. Ande solves this problem by integrating all these activities into a single corporate platform. Employees can book experiences while finance and legal departments maintain control over expenditures. The company spent two and a half years digitizing venue data.

The platform uses agent workflows to automate administrative tasks. These workflows can identify suitable venues, route requests for approval, and manage contracts. Furthermore, they support payments and expense reconciliation, significantly reducing manual work for teams managing corporate entertainment programs.

Ande provides a shared workspace for employees involved in corporate entertainment. Executive assistants and office managers can handle requests alongside marketing teams. Managers can also participate in approval processes through the same platform. Then, AI agents advance requests through stages of approval, signing, and payment.

Currently, the platform is used by over 60 enterprises. Among Ande's clients are Cloudflare, Salesforce, McGraw Hill, and Netskope. Other clients include Navan, Sigma Computing, Monday.com, Workato, and Semgrep. These clients account for over $400 million in annual entertainment spending through Ande, with clients reporting savings of 12% to 15%.

The platform also provides teams with better transparency regarding their entertainment programs. Ande's model addresses both sides of each transaction: companies gain procurement infrastructure, and venues gain access to corporate buyers. The company has also trained its AI model for enterprise-specific entertainment workflows.

Ande's network includes over 93,000 entertainment venues, and currently, more than 1,600 hotel properties are direct partners of the platform. Partners include Altamarea Group, Che Fico, and Gracious Hospitality. Other partners include JKS and The Mina Group. Tao Group Hospitality and Wolfgang Puck are also among its hospitality sector partners. Ande provides these companies access to corporate clients through a single distribution channel, as venues traditionally lacked specialized corporate sales networks.

Ande aims to fill this gap through its marketplace. The platform allows venues to offer their services to corporate buyers and interact with companies and manage transactions through the network. This forms a two-sided model for Ande.

Enterprises gain easier access to venues, and the hospitality industry gains corporate demand. Ande's new funding will be directed towards further developing its native AI platform, as well as expanding its network among corporate buyers and venues.

CEO Lohit Sarma emphasized that entertainment plays an important role in business relationships, highlighting its significance for culture, sales, and client interaction. Venture investors also see opportunities in this fragmented market.

Arif Janmohamed from Lightspeed Venture Partners described Ande as a bridge between companies and venues. Alex Bard, Managing Director at Redpoint Ventures, noted Sarma's experience in the enterprise space and the founder's ambition. Ande positions itself as the infrastructure for corporate entertainment, and its AI agents are designed to reduce the administrative burden across the entire booking process. The company's growth will depend on expanding both sides of its network.

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FintechOS raises $28 million to scale AI-based financial products
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FintechOS raises $28 million to scale AI-based financial products

FintechOS has successfully raised $28 million through a combination of equity and debt financing. The majority of the equity funding was provided by existing shareholders. Among the group's investors are Bek Ventures, IFC, Cipio Partners, and Molten Ventures. Additional senior debt financing was provided by Santander CIB.

This fundraising occurred following a strong first half of 2026. FintechOS achieved profitability, and revenue from recurring payments increased by 40% compared to the previous year. The company's operating EBITDA also grew by over 102% year-over-year. The company forecasts reaching a record number of new clients in 2026.

It is expected that more than 20 financial institutions will implement the FintechOS 8 platform this year. This platform offers artificial intelligence-based tools for managing financial products. FintechOS serves banks, insurance companies, and other organizations providing financial services. The company's technology allows institutions to customize and launch financial products without replacing core systems.

The United States is the fastest-growing market for FintechOS. Revenue in the US increased by 130% year-over-year in the last reporting period. The company now aims for growth of over 200% in the US over the next twelve months. In connection with this, the company is appointing directors to its board of directors in the US and a new chairman.

These appointments are aimed at supporting regional expansion and strategic partnerships. FintechOS is strengthening relationships with major banking system providers. The partnership with Finxact provides access to additional opportunities in the US banking sector, as Finxact operates within Fiserv.

FintechOS also collaborates with Finastra Phoenix. These partnerships may connect the company with a larger number of banks and credit unions. Current clients in the US include ESL Federal Credit Union and Vibrant Credit Union. The platform is also used by Hanscom Federal Credit Union and Farmers Bank of Willards.

FintechOS 8 utilizes a native AI approach for financial product operations. The Dex AI Copilot allows non-technical users to configure products and offerings. The platform integrates product management, data, and AI execution with compliance. It is designed to operate on top of existing financial infrastructures.

Furthermore, the company is implementing a pre-deployment delivery practice. Each client-facing team includes a technical consultant and an engineer. These teams work directly with client product groups, configuring and launching products through a more agile implementation process. FintechOS expects this model to reduce deployment times, lower implementation costs, and increase operational efficiency.

The company has expanded its customer base in Europe parallel to its growth in the US. European clients include BRD Groupe Société Générale, Admiral, CEC Bank, and Bankinter. The latest funding will strengthen FintechOS's expansion base in the US and deepen the company's client portfolio in Europe. The additional capital will also support the delivery organization behind FintechOS 8, including the expansion of engineering and client teams. Other European clients include Howden and Groupama.

The financing structure combines equity with senior debt. This approach provides additional capital without complete reliance on a new equity round. FintechOS founder and CEO, Theo Blidarus, stated that growth and profitability can develop simultaneously. The company continues to work with banks and insurance companies in both regions.

The company's financial performance supports its next phase of expansion. CFO Kirill Desuza noted that the company spent years improving costs and margins. This preparation helped FintechOS return to growth on a stronger operational foundation. The company will present the next phase of growth at the FintechOS Elevate '26 event, held in London on October 14, 2026. FintechOS enters a new phase with reinforced momentum in the US and a profitable operating model.

Hang Ten Systems raises $53 million to scale enterprise artificial intelligence services
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Hang Ten Systems raises $53 million to scale enterprise artificial intelligence services

Hang Ten Systems has secured an additional $53 million in a seed funding round. The round was led by the fund Xora, which is supported by Temasek. This investment brings the company's total funding to $85 million. Mayfield and Aramco Ventures also participated in the latest round.

These two seed rounds were closed just five weeks apart. During this period, Hang Ten has signed several multi-million dollar enterprise contracts. Some of these projects are already in the implementation phase, while others have been successfully completed across various industries and business functions.

The company provides large enterprises with consulting, transformation, and applied artificial intelligence services. Its approach combines code generation using agents, reusable AI skills, and industry expertise. Hang Ten uses this model to create, modify, and operate enterprise software.

Hang Ten Systems operates in software development, finance, and financial analytics. Furthermore, its services cover enterprise migration, human resources management, and other technology-intensive functions. The company aims to execute these projects with smaller teams and in shorter timeframes.

The company positions its model as an AI-based alternative to traditional integration systems. In its implementation process, it utilizes agentic systems, allowing Hang Ten to reuse skills across various enterprise projects. The company's skills library can also support recurring technical and business requirements.

The company is led by founder and CEO Dr. Vishal Sikka. Previously, Sikka served as the CEO of Infosys. Investor support also includes high-profile technology executives such as Intel CEO Lip-Bu Tan and Micron CEO Sanjay Mehrotra. Another investor is Jerry Yang, co-founder of Yahoo and founder of AME Cloud Ventures, who has also joined the board of directors of Hang Ten Systems. The company is already collaborating with major industrial enterprises.

Specifically, the company supports Aramco with AI applications for several operational functions. Mahdi Aladel, CEO of Aramco Ventures, noted that more potential areas of application are being identified. Several teams are also exploring additional projects. Siemens Gamesa Renewable Energy is another corporate client. Its CEO, Vinod Philip, mentioned that the initial engagement yielded desired results, leading the company to expand its cooperation with Hang Ten. The next phase of work will focus on scaling this approach to more industries and regions.

This demonstrates an early example of expansion within existing enterprise partnerships. These projects also highlight the company's focus on production deployments. Hang Ten strives to move enterprises beyond experimental AI use and integrate it into operational systems.

The new capital will be directed towards increasing capacity for current projects, as well as expanding Hang Ten's engineering and consulting structure. Additional investments will go into the company's platform and infrastructure, as well as further developing the library of reusable agent skills. Xora noted that the adoption of enterprise AI largely depends on its implementation, and the fund views secure and cost-effective deployment as a significant challenge for businesses. Xora's investments also provide Hang Ten access to networks in Singapore and Southeast Asia.

Xora invests in AI infrastructure, applied AI, and deep technologies. Mayfield, which led Hang Ten's first seed round, participated again. Aramco Ventures provides strategic ties with enterprises and potential implementation opportunities. The new funding gives Hang Ten additional resources as the number of client projects grows and strengthens the company's ability to scale its implementation technical team. Hang Ten's model focuses on combining AI capabilities with corporate engineering expertise.

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