Development

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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Former Google CEO backs Antarctic drone venture

A reported investment by former Google CEO Eric Schmidt aims to deploy advanced drone systems to navigate Antarctic waters under extreme conditions. The project involves autonomous aerial and underwater drones tailored for polar environments.

Schmidt’s initiative would target the Southern Ocean’s carbon cycle, ice dynamics, and climate modelling. Designers intend drones to operate where traditional vessels cannot, gathering otherwise unreachable data to refine climate models.

Technologies under development reportedly include cold-resistant batteries, autonomous navigation systems, satellite or acoustic communications, and ice-penetrating radar for subsurface mapping. The designs emphasise minimal human intervention.

There is room for application beyond research, including maritime logistics in polar routes and environmental monitoring. If real, the investment could reshape the future of work on how scientists and explorers gather data in remote, hostile regions.

On the other hand, there are criticisms to exploring the area with technologies that could disturb the ecosystem and native species already under other threats. Therefore, careful consideration will have to be made of the ecological impact of this initiative.

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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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AI platforms barred from cloning Asha Bhosle’s voice without consent

The Bombay High Court has granted ad-interim relief to Asha Bhosle, barring AI platforms and sellers from cloning her voice or likeness without consent. The 90-year-old playback singer, whose career spans eight decades, approached the court to protect her identity from unauthorised commercial use.

Bhosle filed the suit after discovering platforms offering AI-generated voice clones mimicking her singing. Her plea argued that such misuse damages her reputation and goodwill. Justice Arif S. Doctor found a strong prima facie case and stated that such actions would cause irreparable harm.

The order restrains defendants, including US-based Mayk Inc, from using machine learning, face-morphing, or generative AI to imitate her voice or likeness. Google, also named in the case, has agreed to take down specific URLs identified by Bhosle’s team.

Defendants are required to share subscriber information, IP logs, and payment details to assist in identifying infringers. The court emphasised that cloning the voices of cultural icons risks misleading the public and infringing on individuals’ rights to their identity.

The ruling builds on recent cases in India affirming personality rights and sets an important precedent in the age of generative AI. The matter is scheduled to return to court on 13 October 2025.

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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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Mexico drafts law to regulate AI in dubbing and animation

The Mexican government is preparing a law to regulate the use of AI in dubbing, animation, and voiceovers to prevent unauthorised voice cloning and safeguard creative rights.

Working with the National Copyright Institute and more than 128 associations, it aims to reform copyright legislation before the end of the year.

The plan would strengthen protections for actors, voiceover artists, and creative workers, while addressing contract conditions and establishing a ‘Made in Mexico’ seal for cultural industries.

A bill that is expected to prohibit synthetic dubbing without consent, impose penalties for misuse, and recognise voice and image as biometric data.

Industry voices warn that AI has already disrupted work opportunities. Several dubbing firms in Los Angeles have closed, with their projects taken over by companies specialising in AI-driven dubbing.

Startups such as Deepdub and TrueSync have advanced the technology, dubbing films and television content across languages at scale.

Unions and creative groups argue that regulation is vital to protect both jobs and culture. While AI offers efficiency in translation and production, it cannot yet replicate the emotional depth of human performance.

The law is seen as the first attempt of Mexico to balance technological innovation with the rights of workers and creators.

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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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Atlantic Quantum joins Google Quantum AI to advance scalable quantum hardware

Google Quantum AI has taken a major step in its pursuit of error-corrected quantum computing by integrating Atlantic Quantum, an MIT spin-out focused on superconducting hardware.

The move, while not formally labelled an acquisition, effectively brings the startup’s technology and talent into Google’s programme, strengthening its roadmap toward scalable quantum systems.

Atlantic Quantum, founded in 2021, has worked on integrating qubits with superconducting control electronics in the same cold stage.

A modular chip stack that promises to simplify design, reduce noise, and make scaling more efficient. Everything is equally important to build machines capable of solving problems beyond the reach of classical computers.

Google’s Hartmut Neven highlighted the approach as a way to accelerate progress toward large, fault-tolerant devices.

The startup’s journey, from MIT research labs to Google integration, has been rapid and marked by what CEO Bharath Kannan called ‘managed chaos’.

The founding team and investors were credited with pushing superconducting design forward despite the immense challenges of commercialising such cutting-edge technology.

Beyond hardware, Google gains a strong pool of engineers and researchers, enhancing its competitive edge in a field where rivals include IBM and several well-funded scale-ups.

A move that reflects a broader industry trend where research-heavy startups are increasingly folded into major technology firms to advance long-term quantum ambitions. With governments and corporations pouring resources into the race, consolidation is becoming common.

For Atlantic Quantum, joining Google ensures both technological momentum and access to resources needed for the next phase. As co-founder Simon Gustavsson put it, the work ‘does not stop here’ but continues within Google Quantum AI’s effort to deliver real-world quantum applications.

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