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Helical raises USD $10 million to expand virtual AI lab

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Helical has raised USD $10 million in seed funding in a round led by Redalpine.

The London biotech startup will use the money to expand its virtual AI lab across more pharmaceutical programmes and grow its science and engineering team.

Gradient, BoxGroup and Frst also participated, alongside individual investors including Cohere Chief Executive Officer Aidan Gomez, Hugging Face Chief Executive Officer Clement Delangue and footballer Mario Goetze.

Helical pitches its software as an application layer that helps drug researchers use biological foundation models in day-to-day research workflows. The system is designed to let biologists, translational scientists, machine learning engineers and data scientists work from the same data, models and results.

The company was founded in early 2024 by Rick Schneider, Maxime Allard and Mathieu Klop. Schneider previously worked at Amazon and later at Celonis. Allard led data science teams at IBM before starting a PhD in reinforcement learning and robotics. Klop trained as a cardiologist and genomics researcher.

Pharma focus

Helical is already being used by several top-20 global drugmakers, including through a public collaboration with Pfizer on predictive blood-based safety biomarkers.

Its deployments span target identification, biomarker discovery and therapeutic design. Across those projects, teams have shortened discovery timelines from years to weeks and expanded work from single indications into nearby therapeutic areas.

The pitch comes as drugmakers look for ways to improve the productivity of research spending. Industry figures cited by Helical put annual R&D expenditure at more than USD $300 billion, while the average cost of bringing a drug to market exceeds USD $2 billion and more than 90 per cent of candidates entering clinical trials fail.

Interest in AI tools for drug discovery has grown rapidly, but many projects have remained at the pilot stage. One challenge for pharmaceutical companies has been connecting model outputs to scientific decisions that can be repeated, checked and applied across programmes, rather than confined to isolated experiments or notebooks.

Helical argues that this gap between model development and practical use inside research teams has held back broader adoption. Scientists and machine learning teams often work separately, making analyses harder to reproduce and transfer between projects.

“The models alone don’t discover drugs. The system does,” said Rick Schneider, Co-Founder, Helical. “Pharma teams need a system that turns foundation models into workflows scientists can run, validate, and defend. We built Helical to make in-silico science reproducible at pharma scale, so teams can go from hypothesis to decision in days instead of months.”

Investor view

Redalpine said the investment reflects a wider shift in how AI is being used in life sciences, as advances in biological foundation models begin to converge with broader reasoning systems.

“We are at a unique point in time where biological foundation models and general language reasoning models are converging,” said Daniel Graf, General Partner, redalpine. “We backed Helical because we strongly believe they have what it takes to build the pharma AI orchestration platform that will drive this transition from siloed AI models to integrated virtual AI labs.”

Helical’s central claim is that drug discovery teams need more than model predictions. They need a system that records how those predictions were produced, links them to biological evidence and presents them in a form researchers can use to decide what to test next in the lab.

That argument points to a broader challenge in computational biology. Many AI-led discovery efforts have promised faster, cheaper research, but pharmaceutical companies still have to judge which findings are robust enough to support expensive laboratory and clinical work.

The technology is intended to reduce the time needed to move from an initial hypothesis to a decision on whether a programme should proceed. Helical says that process can be cut from months to days when in-silico workflows are set up in a repeatable way.

Like many AI startups in biotech, the company now faces the challenge of turning early deployments into long-term use across large research organisations. Its backers are betting that demand from major drugmakers for more consistent, auditable AI workflows will support that expansion.



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AI set to transform transport management, Microlise finds

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New research from Microlise shows 70% of fleet and logistics professionals expect artificial intelligence to begin fundamentally transforming transport management this year. The finding is based on a survey of 250 transport and logistics decision-makers.

That marks a sharp rise in confidence in AI’s role in transport operations compared with the company’s previous industry report, when 36% of respondents said the technology was being used to its fullest potential in the sector.

Just 14% disagreed that this year would mark a step change for AI adoption in transport management, while 16% were unsure.

The figures suggest a shift in sentiment among managers overseeing fleets, delivery networks and wider logistics operations. Businesses across the sector have been testing AI tools in areas such as route planning, vehicle maintenance, driver monitoring and compliance. The latest responses indicate that more decision-makers now see those systems as part of routine operations rather than experimental projects.

AI is being applied to route optimisation to reduce fuel use and empty miles, real-time driver performance analysis, predictive maintenance and load optimisation. Microlise linked that interest to pressure on operators to control costs and improve vehicle and asset utilisation.

Operational Focus

Transport and logistics groups have faced sustained pressure from fuel prices, labour shortages, vehicle downtime and tighter margins. Against that backdrop, the survey indicates that managers are looking to software tools to support day-to-day decisions and identify inefficiencies across fleet activity.

The latest findings suggest AI is moving from trial use into operational deployment. That matters for fleet managers because many of the sector’s earliest use cases are tied to direct measures such as mileage, maintenance schedules, delivery planning, and compliance checks.

By focusing on these areas, operators are trying to cut avoidable costs, keep vehicles on the road for longer and reduce disruption to delivery schedules. The results suggest many now see AI as relevant to those immediate business needs.

Attitudes Shift

The change from 36% in the earlier report to 70% in the latest research reflects a notable shift in how decision-makers view the technology. Rather than asking whether AI might eventually have a place in logistics, more respondents now appear to believe it is reaching a point where it will materially affect transport management.

That does not amount to unanimity across the industry. A combined 30% of respondents either disagreed or were unsure, indicating that some caution remains around the speed and scale of adoption.

That caution is not unusual in a sector where technology investments are often judged by clear returns in cost, service levels and reliability. For many transport operators, new systems must fit existing fleet processes and deliver measurable gains before they are widely adopted.

Even so, the balance of responses suggests confidence is building. For suppliers of fleet software and connected vehicle systems, that shift may indicate a larger market for AI-based tools aimed at planning, maintenance and driver oversight.

Nadeem Raza, chief executive of Microlise, said the responses showed a faster change in attitudes over the past year.

“This year’s findings show just how quickly attitudes towards AI are evolving across the transport sector. In the space of 12 months, we have seen a clear shift from curiosity around AI to a much stronger focus on how it can drive tangible operational value. For operators, this is no longer about future potential – it is about practical applications that improve fleet efficiency, reduce cost and strengthen competitiveness.”

“Those who embrace intelligent, data-led fleet management will be significantly better placed to navigate the commercial pressures facing the industry,” Raza said.

Microlise, established in 1982, provides fleet management and Internet of Things software and services. Its products are used by more than 2,500 clients globally. The company has offices in the UK, France, Australia and India, and employs more than 800 people.

It handles more than 800,000 subscriptions each year.



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Sparky Space launches AI platform to bridge learning gap

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Sparky Space, a Berlin company founded by former German Air Force officer Nils Ristau and technology executive Daniel Schmitz, has launched an AI-based work platform now available worldwide.

The platform targets organisations trying to turn training and knowledge into day-to-day execution, a gap the founders argue persists despite heavy corporate spending on digital transformation, skills development and workplace tools. Sparky Space points to industry research suggesting that only 10% to 20% of learning is applied effectively in daily work.

Ristau said he founded the company after drawing on his military background and his belief that many businesses struggle less with access to information than with putting it into practice. In his view, companies often buy training, frameworks and software that remain detached from operational work.

“Most organisations don’t have a knowledge problem – they have an execution problem,” said Nils Ristau, founder of Sparky Space. “Companies are investing in training, frameworks and tools, but too often these sit in isolation from the reality of day-to-day work.

“What’s missing is the bridge between learning and doing. That’s where performance is either won or lost.”

The platform is designed to bring structured methods and AI guidance into live workflows, rather than offering separate learning modules or retrospective review tools. Teams can use it while working through business problems such as product development, strategic prioritisation and the adoption of generative AI in internal processes.

That approach reflects a wider debate in corporate technology over whether productivity and learning tools should remain separate from operational systems or be integrated into them. Businesses in sectors from manufacturing to professional services are under pressure to show returns on training and transformation budgets as economic conditions remain uncertain and teams are expected to work faster.

Ristau linked the product’s design to the discipline required in military settings.

“In military operations, success depends on disciplined execution under constantly changing conditions,” he said. “You don’t have the luxury of separating learning from action – they have to happen simultaneously.

“Modern organisations face similar complexity. Competitive advantage comes from how well teams perform – not just from what they know.”

Schmitz said the software was built for use during normal working routines rather than as another separate system employees visit occasionally. Many organisations already have enough tools and information, he said, but struggle to make them usable in real situations.

“We wanted to create something that teams would actually use in the flow of work,” said Daniel Schmitz, co-founder of Sparky Space. “There’s no shortage of tools or information in organisations today. The challenge is making them actionable.

“Sparky Space is designed to guide teams through real challenges – whether that’s developing a new product, prioritising strategic initiatives or integrating AI into everyday processes – in a way that is structured, repeatable and measurable.”

Use cases

The platform is intended to support innovation and customer-focused product development, agile project and portfolio management, strategic decision-making, leadership alignment and the use of generative AI in workflows. Cross-functional collaboration and product delivery are also among the areas it targets.

The launch comes as companies continue to test how artificial intelligence can be introduced into routine business operations without adding confusion or duplication. For many employers, the challenge is no longer simply gaining access to AI tools, but embedding them in existing processes while maintaining oversight and consistency.

Ristau said that issue helped shape the product’s approach.

“AI has enormous potential, but without the right ways of working, it risks becoming just another layer of complexity,” he said. “Organisations don’t just need access to AI – they need guidance on how to apply it effectively in real situations.

“That’s why we’ve built Sparky Space to combine human-centred methods with AI support, helping teams not only move faster, but also make better decisions along the way.”

The company is entering a crowded market that includes learning management vendors, workflow software providers and a growing number of AI assistants aimed at workplace use. Its argument is that these categories often leave a gap between knowing what to do and carrying it out consistently across teams.

Berlin remains a significant base for software start-ups serving international business customers, particularly in workflow, automation and applied AI. Sparky Space is seeking to tap that market with a product that links management methods with operational use across teams.

Ristau said the companies that succeed will not be those with the most information, but those that can consistently turn that information into action.



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BackLite UK launches Knightsbridge digital ad site

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BackLite UK has launched a new digital out-of-home advertising installation at the Piccadilly Underpass in Knightsbridge as part of its Landmark Series.

The installation, known as The Knightsbridge, was developed with asset owner Wildstone. It features two 2.8m x 14.4m screens on the eastbound and westbound approaches near Hyde Park Corner.

BackLite UK says the location reaches traffic moving through Knightsbridge, Belgravia and Mayfair, with the displays visible to motorists and pedestrians travelling between some of central London’s best-known retail and leisure districts. The two screens generate more than 3 million fortnightly impacts, according to the company.

The site is close to luxury retail destinations, including Harrods and Harvey Nichols. Advertisers already appearing on the screens include Burberry, Club Med and Franck Muller.

London Refurbishment

The launch forms part of a wider refurbishment programme linked to an agreement between Wildstone and Multiply Media Group, the Abu Dhabi-based parent of BackLite UK, covering more than 10 London sites. Multiply Media Group entered the UK out-of-home market through its partnership with Wildstone.

Wildstone owns the Knightsbridge assets, while BackLite UK handles media sales. Westminster Council awarded Wildstone a long-term licence for the underpass through a competitive tender process.

BackLite UK has positioned The Knightsbridge within its Landmark Series, a collection aimed at advertisers seeking large-format digital sites in prominent urban locations. The range also includes The Cube @ Flannels, the Shoreditch Stack and the Wandsworth Roundabout.

At the centre of the upgrade is a pair of 1440 x 280-pixel digital screens supplied by Daktronics, a US LED manufacturer. BackLite UK selected Daktronics 10mm Outdoor Blue displays for the project.

The development adds to competition for premium outdoor advertising sites in central London, where supply is limited and large-format digital inventory near affluent shopping districts remains relatively scarce.

Jack Fleming, Head of Sales at BackLite UK, said: “The Knightsbridge is a fantastic addition to our Landmark Series, fitting perfectly within our most prestigious collection. There are very few OOH assets in the vicinity, and certainly none of this size and calibre. We quickly recognised the site was much more than an underpass, and worked closely with Wildstone to develop something that really stands out.”

Wildstone says the site was always intended for advertisers targeting the premium end of the central London market. The company has been expanding its role as an owner of outdoor advertising infrastructure while working with media operators on digitisation and upgrades.

Andrew Foster, Group Partnerships Director at Wildstone, said: “With its location in the heart of prime central London, we always believed this site was ideally suited to the premium end of the market. We were therefore excited to secure BackLite UK as our media partner, as its focus on luxury brand advertisers meant we were fully aligned on what the upgrade should entail. This is one of a number of high-end refurbishments we’re carrying out in partnership with BackLite UK and, given our success here, we’re excited to see what the future holds.”



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