Improvability

Improvability adapts M&A due diligence to your firm’s workflows using our custom templates Improvability’s tools solve your biggest pain points in due diligence and reporting - by adapt to your workflows, document templates and due diligence processes using the latest AI research models. Problem: You have to analayze a wide range of documents and sources for DD at an PE or M&A firm, but it takes a long time to get all the data sorted into the internal reporting template that your firm uses. This takes up a lot of your analysts time and cost. You’ve tried ChatGPT Deep Research or a standard AI Due Diligence tool, and while the results are amazing - the output is in a generic structure, and changes every time. While other due diligence tools force you to use their process and workflows. So even after using AI to analyze your documents, you then have to adapt to your templates anyway, which kind of misses the whole point about AI being helpful. Solution: In a world where speed and depth of assessment puts you in front on a deal, Improvability’s Due Diligence AI tools build custom templates around your process and documents. Which e use the latest AI tools (inlcuding Deep Research), and build secure AI databases for you to put the trove of documents on which you have to do assessments. We then build with you a custom template - an output that is structured the way your firm runs Due Diligence. The documents can be super customized, and specific data and points linked to key clauses. We take documents coming in from various sources - and sort them Custome due diligence and reporting. Lots of documents. Different formats, shapes and sizes. You have an internal process you have to follow. Currently analysts to do this work. Deep research will put in standard format. Also changes every time. Deep research capabilities in a structured format…to your workflow. We customize your due diligence template for your investment philosophy. https://lnkd.in/dpGnmqeR #AI #MergersAcquisition?#DueDiligence #Customization

For Google’s sustainability reporting, AI is a ‘game changer’. The company's lead for sustainability reporting shares insights — and tips — from his team's first time using AI tools. https://lnkd.in/dKmWj5yD.

Frank Meehan our chairman is a prominent figure in the technology investment industry, known for his expertise in predicting future trends and developments - such as mobile, AI and now AI infrastructure on mobile. He has been involved in Mobile Future Forward, a premier mobile thought-leadership summit that focuses on the next five years of mobile technology and infrastructure. His background includes significant experience in the mobile and tech sectors: *Board Director for Spotify from 2009 to 2012, representing Horizons VC4. *Board Member and Investor for Siri Inc. before its acquisition by Google4. *Director and GM of the Global 3G Handsets and Applications Group at Hutchison Whampoa, managing a team of over 100 people. Frank was involved in the early development and implementation of 3G networks with Ericsson and Hutchison Whampoa. His insights on mobile technology are highly valued due to his extensive experience and successful track record in the industry. Meehan has been recognized for his contributions, being selected as one of Wired's top 100 people in tech in 20122. At Mobile Future Forward, Frank shares his perspectives on upcoming trends in mobile technology, drawing from his experience with innovative companies and his current role as Founder of Amura Growth Partners and Founder and General Partner of SparkLabs Global Ventures, a global early-stage fund.?His expertise in areas such as the investments and operations in technology, e-commerce, and financial technology were particularly relevant to discussions about the future of mobile infrastructure, including AI chips in mobile phones and how AI data centres are the core focus for mobile infrastructure investors now. Frank uses Improvability for his investment due diligence - simplifying and standardising the investment due diligence workflow process because accuracy is important, efficiency is key and deals are time sensitive. https://lnkd.in/essAw5fR #standardising #investment #duediligence #reports #accountability

Legal AI and due diligence AI are related but distinct technologies with overlapping yet unique applications in the legal field. Similarities Both legal AI and due diligence AI utilize artificial intelligence to automate and enhance legal processes: Document analysis: Both technologies can review large volumes of legal documents quickly and efficiently. Natural language processing: They employ NLP to understand and extract relevant information from legal texts. Time and cost savings: Both aim to reduce the time and resources required for legal tasks, allowing lawyers to focus on high-value work. Differences Despite these similarities, there are key distinctions between legal AI and due diligence AI: Scope of application: Legal AI: Broader application across various legal tasks, including legal research, contract analysis, and predictive analytics. Due diligence AI: Specifically focused on the due diligence process in transactions like mergers and acquisitions. Depth of analysis: Legal AI: May provide more general legal insights and assistance across a wide range of legal topics. Due diligence AI: Offers deeper, more specialized analysis of specific transaction-related documents and risks. Output format: Legal AI: Can generate various outputs, from legal memos to contract drafts. Due diligence AI: Typically produces structured reports highlighting key findings and potential risks in a transaction. User interaction: Legal AI: May involve more ongoing interaction with lawyers for various legal tasks. Due diligence AI: Often operates more autonomously, processing large document sets with minimal human intervention. Customization: Legal AI: May require broader customization to handle diverse legal tasks1. Due diligence AI: Often tailored specifically for the due diligence process, with pre-trained models for common transaction types. While both technologies aim to enhance legal work, due diligence AI is a specialized subset of legal AI, focused on streamlining and improving the specific process of due diligence in transactions. https://lnkd.in/dne6_wMA #DueDiligenceAI #Investors #Transactions #Risk #Identification

AI-Powered Investor Due Diligence: The Future is Here! Discover how AI is revolutionizing the way investors conduct due diligence, making the process faster, more accurate, and highly efficient. Our platform analyzes vast amounts of data, identifies risk factors, and enhances decision-making. Whether you're a seasoned investor or just starting, get in touch if you or your team want to be empowered today. Don't miss out! Like and share this video to spread the knowledge. #DueDiligenceAI #Investing #ArtificialIntelligence #FutureOfInvesting #CutTimeSpent #IdentifyRisks #MoreAccuracy #HighlyEfficient

When companies were spending more money on reporting their sustainability efforts than actual investments in innovation and action we knew we had to create something that could simplify the process. Our co-founder Tee Ganbold ?? discussed this recently on a call with our partners. * Speed up your sustainability due diligence process * Lower your spend on outside consultants * Due diligence approaches you could implement to win more deals *AI workflows you could implement to increase your loan volume and reduce operational costs #AI #Climateweek #Innovation #Sustainability #Reporting #SustainabilityReporting #CSRD #Climatechange

? How we are helping consultants save time for their corporate customers! ? Once a consultant has developed a template on our platform that they see as suitable for their customers, they can share it with others on their team or within their company. Costs are too high at the moment… ~€340,000 per sustainability report in Europe By democratizing access to report templates, consultants can save valuable time and resources for their customers - and focus more on improvements. Tee Ganbold ?? shares her insights! #ESG #Climate #Sustainability #Reporting #AI #Sustainability #Consulting #Consultants

The 2025 Wall Street Green Summit (WSGS) is just four weeks away, so reserve your seat now and join on March 18th and 19th in New York. I will be speaking on Tuesday March 18th from 9:30 - 9:50 am. 2025 WSGS agenda and website link: https://lnkd.in/dXj5THMi #WSGS #automatereportoring #sustainabilityreporting #climateresilience

We are excited to launch a new Eurogia2030 / Innovate UK project. The Eurogia project aims to develop a benchmark model for energy startups in Europe, focusing on innovative funding mechanisms and business models that go beyond traditional venture capital. In collaboration with Oxford Centre for Technology and Development, Qurator.com - Sustainability Tech Ecosystem, and Enerjisa, the project will leverage advanced data analytics and AI-driven insights to support the commercialization and scalability of sustainable energy solutions. The initiative will also engage researchers and students from Oxford to contribute to its research and implementation. Thank you for the brilliant work to bring this together Dr Emre Eren KORKMAZ, David Aikman, Mark Brockway and Daniel Ellison! #Climate #Tech #DueDiligence #Efficiency #Scalable #Commercial https://eurogia.eu/

Happy Lunar New Year! Wishing you and your family all the happiness, health and prosperity this year ????