Every time a brilliant industry mind leaves a room, steps off a panel, or retires from an organisation, an invisible tragedy occurs: decades of hard-won, unwritten knowledge vanish into thin air.
While modern artificial intelligence is remarkably adept at scraping and indexing the internet, it remains completely blind to the vital ideas being shared in real time.
Enter Lorefully, an innovative knowledge-capture platform designed to solve this exact problem. Co-founded by Dr Amrit Chandan, a chemical engineering PhD who transitioned from the low-carbon vehicle sector to digital enterprise, Lorefully captures live, raw human insight before it disappears.
Rather than relying on static archives, the platform acts as a digital ledger for contemporary human intellect, turning fleeting conversations into structured, searchable intelligence for future generations.
Harvesting wisdom at the source
The inspiration behind Lorefully stems from a fundamental flaw in modern digital infrastructure that we, humans are incredibly casual about losing our collective expertise.
"Human knowledge is far too valuable to lose," Dr Chandan explains. "It’s one of our greatest assets, yet we’re constantly having to relearn the same things over again, which ultimately slows down humanity's progress towards things like net zero and the betterment of society."
The platform operates by targeting high-signal environments, such as trade shows, cross-sector convenings, and cultural festivals where professionals gather to debate the future. Instead of passively recording lectures, Lorefully employs a human-to-human approach.
Field teams engage directly with attendees, conducting brief, structured interviews right on the exhibition floor.
The strategy is yielding massive volumes of data. Having started the year with one million words, Lorefully has rapidly scaled, capturing over eight million words to date, with a target of ten million by the end of June.
At a single recent trade event, Innovation Zero, the team harvested two million words regarding green subsidies and intellectual property.
The platform has even conducted a cross-sectional study of the UK shipbuilding sector, gathering inputs from dockside electricians up to senior executives to map out systemic workforce challenges.
Enshittification of AI and the human cure
Lorefully's methodology marks a deliberate departure from mainstream AI models like ChatGPT or Gemini. Because generic Large Language Models are trained primarily on existing internet data, they have begun consuming their own output, leading to a noticeable decline in original thought.
Dr Chandan notes that this reliance on recycled data is causing a widespread phenomenon known as the greater Enshittification of online content, where information becomes increasingly diluted and formulaic.
Lorefully avoids this digital stagnation by sourcing data directly from human minds, providing event organisers, corporate sponsors, and policy bodies with an authentic reflection of what an industry is actually thinking.
"We want to get the valuable wisdom that people have direct from the source, direct from their mind, from where they're talking, where they're creating this idea," says Dr Chandan.
"We capture what they know, structure what matters, and then amplify that expertise out there for the good of the community."
Trust, privacy, and augmenting the mind
Gathering proprietary insights at scale naturally raises significant questions about corporate data privacy and security. Lorefully addresses these hurdles through a strict architectural framework.
The system is entirely GDPR-compliant and operates under Chatham House rules, meaning it prioritises the substance of the knowledge over individual identities.
"We are really interested in what people know, but we're not interested in who said what," Dr Chandan emphasises. This absolute anonymity disarms the defensiveness that often prevents industry professionals from sharing their best ideas.
Furthermore, as AI anxiety continues to disrupt creative and technical professions, Lorefully positions its technology as a tool for empowerment rather than displacement. The goal is to strip away administrative burdens so humans can focus on high-level analysis.
"One thing AI can't do is the judgment and the context," Dr Chandan says. "The human part of it is all about what is the meaning of it like the ethical side, the prioritisation, and the decisions. It's not about erasing people from the process."
Ultimately, the platform views AI not as a replacement for human intellect, but as a bridge to preserve it for the generations to come.
