DualEntry raises $90m to scale AI-first ERP platform

New York ERP startup DualEntry has emerged from stealth with $90 million in Series A funding, co-led by Lightspeed and Khosla Ventures. Investors include GV, Contrary, and Vesey Ventures, bringing the total funding to more than $100 million within 18 months of the company’s founding.

The capital will accelerate the growth of its AI-native ERP platform, which has processed $100 billion in journal entries. The platform targets mid-market finance teams, aiming to automate up to 90% of manual tasks and scale without external IT support or add-ons.

Early adopters include fintech firm Slash, which runs its $100M+ ARR operation with a single finance employee. DualEntry offers a comprehensive ERP suite that covers general ledger, accounts receivable, accounts payable, audit controls, FP&A, and live bank connections.

The company’s NextDay Migration tool enables complete onboarding within 24 hours, securely transferring all data, including subledgers and attachments. With more than 13,000 integrations across banking, CRM, and HR systems, DualEntry establishes a centralised source of accounting information.

Founded in 2024 by Benedict Dohmen and Santiago Nestares, the startup positions itself as a faster, more flexible alternative to legacy systems such as NetSuite, Sage Intacct, and Microsoft Dynamics, while supporting starter tools like QuickBooks and Xero.

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Diag2Diag brings fusion reactors closer to commercial viability

Researchers have developed an AI tool that could make fusion power more reliable and affordable. Diag2Diag reconstructs missing sensor data to give scientists a clearer view of plasma, helping address one of fusion energy’s biggest challenges.

Developed through a collaboration led by Princeton University and the US Department of Energy’s Princeton Plasma Physics Laboratory, Diag2Diag analyses multiple diagnostics in real time to generate synthetic, high-resolution data. It improves plasma control and cuts reliance on costly hardware.

A key use of Diag2Diag is improving the study of the plasma pedestal, the fuel’s outer layer. Current methods miss sudden changes or lack detail. The AI fills these gaps without new instruments, helping researchers fine-tune stability.

The system has also advanced research into edge-localised modes, or ELMs, which are bursts of energy that can damage reactor walls. It revealed how magnetic perturbations create ‘magnetic islands’ that flatten plasma temperature and density, supporting a leading theory on ELM suppression.

Although designed for fusion, Diag2Diag could also enhance reliability in fields such as spacecraft monitoring and robotic surgery. For fusion specifically, it supports smaller, cheaper, and more dependable reactors, bringing the prospect of clean, round-the-clock power closer to reality.

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AI transcription tool aims to speed up police report writing

The Washington County Sheriff’s Office in Oregon is testing an AI transcription service to speed up police report writing. The tool, Draft One, analyses Axon body-worn camera footage to generate draft reports for specific calls, including theft, trespassing, and DUII incidents.

Corporal David Huey stated that the technology is designed to provide deputies more time in the field. He noted that reports that took around 90 minutes can now be completed in 15 to 20 minutes, freeing officers to focus on policing rather than paperwork.

Deputies in the 60-day pilot must review and edit all AI-generated drafts. At least 20 percent of each report must be manually adjusted to ensure accuracy. Huey explained that the system deliberately inserts minor errors to ensure officers remain engaged with the content.

He added that human judgement remains essential for interpreting emotional cues, such as tense body language, which AI cannot detect solely from transcripts. All data generated by Draft One is securely stored within Axon’s network.

After the pilot concludes, the sheriff’s office and the district attorney will determine whether to adopt the system permanently. If successful, the tool could mark a significant step in integrating AI into everyday law enforcement operations.

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Japan targets AI leadership through new Nvidia–Fujitsu collaboration

Nvidia and Fujitsu have partnered to build an AI infrastructure in Japan, focusing on robotics and advanced computing. The project will utilise Nvidia’s GPUs and Fujitsu’s expertise to support healthcare, manufacturing, environmental work, and customer services, with completion targeted for 2030.

Speaking in Tokyo, Nvidia CEO Jensen Huang said Japan could lead the world in AI and robotics. He described the initiative as part of the ongoing AI industrial revolution, calling infrastructure development essential in Japan and globally.

The infrastructure will initially target the Japanese market but may later expand internationally. Although specific projects and investment figures were not disclosed, collaboration with robotics firm Yaskawa Electric was mentioned as a possible example.

Fujitsu and Nvidia have previously collaborated on digital twins and robotics to address Japan’s labour shortages. Both companies state that AI systems will continually evolve and adapt over time.

Fujitsu CEO Takahito Tokita said the partnership takes a humancentric approach to keep Japan competitive. He added that the companies aim to create unprecedented technologies and tackle serious societal challenges.

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US AI models outperform Chinese rival DeepSeek

The National Institute of Standards and Technology’s Centre for AI Standards and Innovation (CAISI) found AI models from Chinese developer DeepSeek trail US models in performance, cost, security, and adoption.

Evaluations covered three DeepSeek and four leading US models, including OpenAI’s GPT-5 series and Anthropic’s Opus 4, across 19 benchmarks.

US AI models outperformed DeepSeek across nearly all benchmarks, with the most significant gaps in software engineering and cybersecurity tasks. CAISI found DeepSeek models costlier and far more vulnerable to hijacking and jailbreaking, posing risks to developers, consumers, and national security.

DeepSeek models were observed to echo inaccurate Chinese Communist Party narratives four times more often than US reference models. Despite weaknesses, DeepSeek model adoption has surged, with downloads rising nearly 1,000% since January 2025.

CAISI is a key contact for industry collaboration on AI standards and security. The evaluation aligns with the US government’s AI Action Plan, which aims to assess the capabilities and risks of foreign AI while securing American leadership in the field.

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Harvard physicists build first continuous quantum computer

Harvard physicists have developed the first continuously operating quantum computer, running for more than two hours without interruption and potentially indefinitely.

Until now, most quantum machines lasted milliseconds, with the longest recorded runtime about 13 seconds. The Harvard team overcame the problem of qubit loss by replenishing atoms in real time using an optical lattice conveyor belt and optical tweezers.

The system contains 3,000 qubits and can inject 300,000 atoms per second, allowing information to be preserved as older particles escape. The findings were produced with MIT collaborators and mark a turning point in quantum research.

Researchers say machines capable of running indefinitely could arrive within two to three years, accelerating progress in medicine, finance, and cryptography. Harvard has heavily invested in the field, launching one of the first PhD programmes in quantum science.

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Lincoln Lab launches most powerful AI supercomputer at US university

Lincoln Laboratory has unveiled TX-GAIN, the most powerful AI supercomputer at any US university. Optimised for generative AI, the system ranks on the TOP500 list and significantly boosts research across the MIT campus.

Equipped with more than 600 NVIDIA GPU accelerators, TX-GAIN delivers two AI exaflops of peak performance. Researchers are using it to advance biodefence, protein modelling, weather analysis, network security, and new materials development.

Generative AI applications go beyond large language models, with teams at Lincoln Laboratory exploring radar evaluation, chemical interactions, and anomaly detection in digital systems. The laboratory’s design lets researchers access vast computing power without needing expertise in parallel programming.

TX-GAIN is also supporting collaborations with MIT institutions and the US military, including projects in quantum engineering, space operations, and AI-driven flight scheduling. The system in an energy-efficient Massachusetts facility continues the lab’s supercomputing tradition.

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AWS expands tech skills programme to Tennessee

Amazon Web Services (AWS) is expanding its Skills to Jobs Tech Alliance to Tennessee, making it the sixth US state to join the initiative. The partnership with the Nashville Innovation Alliance targets middle Tennessee’s rising demand for AI and cloud computing talent.

Between 2020 and 2023, tech job postings in the region increased by 35 percent, with around 8,000 roles currently open.

The programme will link students from local universities with employers and practical learning opportunities. Courses will be modernised to meet industry demand, ensuring students gain relevant AI and cloud expertise.

Local leaders emphasised the initiative’s potential to strengthen Nashville’s workforce. Mayor Freddie O’Connell stressed preparing residents for tech careers, while AWS and the Alliance aim to create sustainable pathways to high-paying roles.

The Tech Alliance has already reached 62,000 learners globally and engaged over 780 employers. Tennessee’s expansion aims to reach over 1,000 residents by 2027, with further statewide growth planned to boost Nashville’s role as a southeastern tech hub.

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ECB names firms for digital euro components

The European Central Bank (ECB) has named the providers selected to deliver core components for the digital € project. The announcement follows a call for applications launched in January 2024, with results published on 2 October 2025.

Technology and payment companies chosen include Sapient GmbH, Tremend Software Consulting, equensWorldline, Feedzai, Capgemini, Almaviva, Fabrick, Giesecke+Devrient, and Senacor FCS.

Their roles cover services such as risk and fraud management, app development, offline solutions, and secure exchange of payment information. Second-ranked firms will only be engaged if required.

The ECB underlined that a decision on whether to issue the digital € has not been taken. Progress depends on the Digital Euro Regulation and approval by the ECB Governing Council, with development moving forward only once both are secured.

Framework agreements signed with the chosen providers involve no payments at this stage. They also include safeguards to allow adjustments, ensuring alignment with any future changes in European legislation.

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Japan and OpenAI team up for public sector AI innovation

Japan’s Digital Agency partners with OpenAI to integrate AI into public services, enhancing efficiency and innovation. Gennai, an OpenAI-powered tool, will enable government employees to explore innovative public sector applications, supporting Japan’s modern governance vision.

The collaboration supports Japan’s leadership in the Hiroshima AI Process, backed by the OECD and G7. The framework sets global AI guidelines, ensuring safety, security, and trust while promoting inclusive governance across governments, industry, academia, and civil society in Asia and beyond.

OpenAI is committed to meeting Japan’s rigorous standards and pursuing ISMAP certification to ensure secure and reliable AI use in government operations. The partnership strengthens trust and transparency in AI deployment, aligning with Japan’s national policies.

OpenAI plans to strengthen ties with Japanese authorities, educational institutions, and industry stakeholders. The collaboration seeks to integrate AI into society responsibly, prioritising safety, transparency, and global cooperation for sustainable benefits.

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