Latest update on October 1, 2025
In our interview series, we discuss trends, challenges, and best practices in ESG management. This time, , provides insights into 91桃色视频's Collaborative Proof Platform and explains how companies can use Proof AI to create reliable, auditable proof from scattered data. He also shares how 91桃色视频 is using its recent Series A funding of 鈧9.2 million to further develop the platform.
Companies Lack Proof
Sarah: Many companies are doing great sustainability work, but often struggle to prove it when stakeholders request proof. How does 91桃色视频 help?
Ali: That鈥檚 exactly the problem we solve. Often, companies don鈥檛 lack ESG efforts - they lack proof. When investors, regulators or colleagues ask for evidence, many organizations can鈥檛 provide it. With 91桃色视频s Collaborative Proof Platform, every action, every document, every data point is linked to a source and a responsible owner. Suddenly, your work becomes verifiable and audit-ready.
91桃色视频's AI聽Module explained (Practical Example)
Sarah: How is the AI 91桃色视频 uses - 鈥淧roof AI鈥 - different from others?
Ali: Other AI models, generic AI models - struggle without context. 91桃色视频s Proof AI is context-aware. It understands the relationships between your documents, indicators and data. It doesn鈥檛 just summarize information; it gives you insights that are traceable and trustworthy. Data without context is often worthless. That鈥檚 why at 91桃色视频, we turn it into audit-ready proof. Proof AI discovers proof from your systems and shows exactly where it applies; it monitors the quality and alerts you to expirations鈥╝nd missing data. And last but not least - it builds answers you can trust - every claim links to its source.
Sarah: Can you give an example of how this works in practice?
Ali: Sure. We often hear from customers like EnBW, Geberit or Ingredion that our AI answers questions from stakeholders or for questionnaires really well, with sources attached perfectly. The AI-generated text is ready to go.
Our upcoming AI Chat feature will make it even easier for teams to interact with data, ask questions, and generate verified outputs instantly.
With 91桃色视频 and Proof AI, I can instantly find previous answers or create tailored ones from our reports and polices.
Katie Shrum, Sustainability Manager, Ingredion
Reliable AI to Support Sustainability Teams
Sarah: Interesting! But how do you ensure Proof AI remains reliable?
Ali: It鈥檚 about teamwork between our AI engineers and our sustainability experts. We give Proof AI a clear framework. Plus, we continuously integrate the latest models - like Google Gemini and Mistral - and actively leverage agentic AI, staying at the forefront of what鈥檚 technically possible to automate tasks in a responsible and traceable way.
Instead of manually scanning hundreds of report pages, we now let 91桃色视频's Proof AI bring everything together into one clear, ready-to-use answer.
Kristina Kamenjas, Head of Regulatory &聽Sustainability Affairs, Bruno Bock
鈥
Sarah: 91桃色视频 recently closed 9.2 Mio. Series A funding. How will that be used?
Ali: We鈥檙e for sure expanding our team of AI engineers, embedding domain knowledge deeper into product development. We plan to double our headcount in general in the next 12 months. Further, we will develop our platform beyond ESG data to instantly validate compliance with 100+ global standards and certifications.
Sarah: Sounds great! Bottom line: Why should a company choose a Collaborative Proof Platform?
Ali: Because proof matters. Dispersed knowledge becomes actionable, verifiable, and auditable. You鈥檙e not just collecting data - you鈥檙e making sustainability efforts tangible and trustworthy.
Stop scrambling. Start proving.
Your next customer questionnaire, assessment, or audit doesn't have to be a fire drill. Get the platform that keeps proof ready for every request.
The platform makes ESG measures verifiable and auditable by linking every action and data point to its source and the person responsible.
91桃色视频s Proof AI understands the context between documents and data, provides trustworthy proof with sources, and detects missing or expiring data.
Through close collaboration between AI engineers and sustainability experts, continuous updates to AI models, and clear guidelines for reliable results.
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