isLucid

isLucid

IT Services and IT Consulting

AI to amplify spoken communication with data from text, get answers, and enrich CRM with verbal conversation highlights

About us

The company specializes in AI software for Sales and Customer Success (CS) teams. Their flagship product, CallCenter isLucid®, is a modular platform that transforms spoken conversations into written text, aiding communication and information retrieval. Its modules include Cloud Transcription, On-Device Transcription, Summarization, Cloud Search, Tasks and Tickets, and Agenda. These streamline processes, from transcribing calls and summarizing discussions to organizing tasks and assisting agents in customer interactions. Additionally, the company offers Meeting isLucid®, a meeting assistant designed for Microsoft Teams. It extracts value from meeting transcripts, enhancing professionals' calls in recruitment, consulting, and product management. The tool integrates transcripts from any source, connects discussions with context, and optimizes meeting management. The company's core value lies in enhancing Sales and Customer Success efforts through AI-powered tools. By converting spoken words to text, facilitating real-time information retrieval, and providing contextual insights, their solutions redefine customer engagement. With a commitment to integration and efficiency, these products empower businesses to excel in a competitive market, catering to modern needs for outstanding customer experiences and sales success.

Industry
IT Services and IT Consulting
Company size
2-10 employees
Type
Privately Held
Specialties
transcription, AI, Machine Learning, CallCenter Software, Business Process Automation, Robotic Process Automation, Speech to Text, Custom AI models, and Custom ML models

Employees at isLucid

Updates

  • View organization page for isLucid, graphic

    810 followers

    Have you ever waited on hold to get a simple question answered? 😴 Voice bots are becoming an essential tool for customer service, and it’s easy to see why. Imagine having a team member who’s always on, 24/7. Cool, right?🤩 No breaks, no downtime—always ready to jump in. Like having a team member that never sleeps. 😅 And this isn’t just some pre-recorded script, it’s real-time, human-like interaction driven by advanced AI. Now, it’s good to know that this tech is a step up from a chatbot, so there’s a bit more investment involved. But if you’re ready to level up, the reward is unbeatable customer connection. Real-world results underscore the power of this technology: 🟢 Telefónica: Increased call resolution rates by 6% and handled 1 million calls per month with their voice bot. 🟢 Swisscom achieved a 21% improvement in accurate transfers and an 18-point boost in Net Promoter Score, successfully transitioning 100% of its call load in just three weeks, managing 9 million calls annually across four languages. 🟢 CSGi projected a $39M ROI, cut misrouted calls by 30%. These results highlight the capabilities of voice bots to not only handle high call volumes but also improve key performance indicators (KPIs) that stakeholders care about. When considering the benefits of voice bots, their 24/7 availability stands out as a game-changer, offering human-like responsiveness around the clock to address urgent actions like blocking bank cards, processing electricity bills, or managing orders easily. Oh, yes voice bot will double-check if needed. 🫡 Voice bots enhance operational efficiency by analyzing user preferences and behavioral data, giving teams the insights they need to make informed, strategic decisions that streamline workflows and improve overall productivity. We understand that each organization has unique requirements and successful deployment is just the beginning. Product flexibility here often brings significant benefits allowing for seamless adaptation and continuous improvement. For stakeholders focused on cost savings, customer satisfaction, and scalability, isLucid’s voice bot represents a strategic investment with tangible, ongoing benefits based on clear metrics.

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  • View organization page for isLucid, graphic

    810 followers

    AI for business: to buy or not to buy? 🧐 If you look at the current market, companies go crazy to launch or implement AI features. 💥  It’s a shiny new buzzword, used in every tech conference and investor meeting. But is AI actually worth it for your business? If you want to benefit from it and not just jump on the bandwagon, you don’t need to use the mere presence of AI as a benefit for your customers. Instead, invest in AI to help you get things done. A recently published study from Washington State University found that using the term 'artificial intelligence' in product descriptions reduces purchase intentions. 👀 That is because in most cases, companies use basic, unrefined AI features that provide very little value. Implementing generic AI features in your business operations or customer service won’t do any good if you aren’t ready to invest in training and preparing the technology. It’ll require your input, a lot of data, testing, validating data, setting expectations, and repeating everything over and over again.  But when done right, it can be an incredible investment that will save time and money in the long run. Follow us to learn more about new technologies and their implementation in business!

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  • View organization page for isLucid, graphic

    810 followers

    While the new technologies promise efficiency and automation 💫 , the rush for immediate results often causes more frustration than success. Most companies are excited to use AI to automate, speed up, and ease operations. But fast results, needed here and now often lead to disappointment and technology fatigue because things don’t work this way. We have to remind ourselves that the only way to eat an elephant is one bite at a time. 💬 Here’s some ways to implement new technologies: ✅ Think about the specific tasks and problems new tools will help you solve and start from there. ✅ Testing and validating data sets should be your priority. Testing is necessary to limit mistakes. ✅ Have clear acceptance criteria to understand when these new tools are ready for deployment and can fulfill their intended purpose. If you think back to the time you started working at your current company or launched your business, you’ll remember that it took time to become good. Expect the same to happen with new tools you implement in your business. Even the most brilliant people can’t thrive in an environment where they don’t have the right conditions to show their full potential. So let’s not limit technology with unreasonable expectations. By aligning expectations with a thoughtful, step-by-step approach, companies can create the right conditions for both their teams and new technologies to excel truly. 🚀

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  • View organization page for isLucid, graphic

    810 followers

    Are we expecting too much out of AI business tools?¯\_(ツ)_/¯ In our company, we’ve noticed this new phenomenon we call ‘Expecting a Miracle.’ 💫 Integrating #AI into your business has become one of the main areas where owners expect huge returns without investing time in making language models actually work for them. 🗯 Most popular tools and language models available in the market are trained using huge amounts of #data. So, it makes sense that every business and role can get something out of them. At first, you might notice benefits, and that’s where ‘expecting miracles’ begins. You might hope to cut your expenses, reduce your workload to a minimum, and perform tasks faster than your human employees ever have. 💥 However, the effectiveness of AI tools in your business is proportional to the effort (and data) you invest in them. AI without training on specific data about your company can only help with generic tasks. Instead, it’s much better to find the right AI tools and train them using small chunks of data over time to create something valuable and measurable for your business. Think of it as a child who’s learning a new subject at school. You don’t go from basic arithmetic to calculus overnight. The same applies to implementing new technologies in your company. Follow isLucid for more news and ideas.

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  • View organization page for isLucid, graphic

    810 followers

    Our founder and CEO Vytenis (WeTennis) Pakenas shares our perspective on how we measure if impact by AI on our customer results can be achieved here and now. Or not ¯\_(ツ)_/¯

    View profile for Vytenis (WeTennis) Pakenas, graphic

    Founder @ isLucid.com ➡️ AI to amplify spoken communication with data from text, get answers, and enrich CRM with verbal conversation highlights

    Why not to buy an AI. Because most businesses do not need AI. AI by itself is a short-term shiny thing. One company's shareholders can brag to the shareholders of competitors. But it's not a benefit per se. A different story for software with AI as a component. It's normal to buy software to get a shit done. As software evolves, its purpose is the same - to be an application (pun intended) for your business needs. It should be functional, it should be less costly than the value you gain. It gets shit done. Managers, here's a tip on when it's smart to invest in AI-powered software. Place AI impact in a graph on two axes: - How often the task has been included in the training data when the AI was being developed; - How much better a junior colleague could do the task if this colleague had unlimited time to work on it. Top right? Good ** AI performs best on tasks it was trained on frequently. And it speeds up because it calculates faster than a person thinks.** Please think for a while. And imagine you hired a new junior colleague just out of college. You assigned a task AND this colleague would have infinite time, yet cut off from the internet, colleagues or books. Would they deliver as quality result of the task as you expect? If yes - AI can do it. Most probably now. AI calculates faster following the formulas it was trained. The software that depends on you providing every-level input, tasks, etc will benefit you with AI behind. Process is faster for you. You will get junior-level assistance for specific functions for a fraction of a junior salary. Example: you need a website. You got design. Your colleague can create generic text for it. Such a text will not have an in-depth understanding of the nuances you know. But it speeds up YOUR work. You have some content. Web-builders (software) with AI content generation will reduce time for such task. It will replace the need for junior and get you faster (and cheaper) to reviewing/rewriting process. You bought website builder with AI that helps you start crafting content faster. Congrats! If no - AI can do it as long as you train it and know what you (or your partners) are doing. It will require your input, it will require ROI for the stuff you built. It will have a lot of traditional software development project aspects. Project planning, requirements collection, success metrics evaluation.... At the end you (most probably^^) get software that delivers the function faster. (Potentially) better result with AI technology supporting your tasks. ONLY IF YOU CAN TRAIN. Reached the limit of post length. Will be #2 based on our experience with Contact Centers and hard languages (Lithuanian, huh?) Grand finale: According to the research conducted by Washington State University in 2024, Using the term 'artificial intelligence' in product descriptions reduces purchase intentions. A lot of business managers already figured this So you should not buy an AI ¯\_(ツ)_/¯ #isLucid, #AI

  • View organization page for isLucid, graphic

    810 followers

    Recent storms in the Baltics have caused significant damage, underscoring the critical need for efficient insurance processes. ⛈ ☔ In such situations, AI solutions that can handle more than 50% of queries your agents receive - by understanding what is happening in calls - are essential in managing the surge of calls and data effectively. ✔ 🚩 Why is this crucial? ✅ Accuracy: Missing details in calls can impede quick damage assessments and claim processing, affecting resource management. ✅ Speed: Your agents have to deal with a high volume of calls. Automated responses (voice bot) to simple inquiries free up agents to handle more complex issues. ✅ Prioritization: By understanding the content of calls/emails, isLucid can determine the urgency, ensuring that the most critical issues must be addressed first. ✅ Resource Management: Clients want to get the answers here and now but in some cases, second-tier support might be needed. Reducing the workload on second-tier support agents leads to significant cost savings. ✅ Data Collection and Analysis: isLucid collects and organizes real-time call data, allowing insurance agents to quickly assess situations and make informed decisions. Access to conversation details aids in prompt claim processing, while insights into patterns and trends help refine strategies and improve future responses. Efficient response time and service when clients need it most lead to enhanced customer satisfaction and loyalty. 🆙 #Insurance #AI #DataManagement

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  • View organization page for isLucid, graphic

    810 followers

    Some thoughts on latest news about Apple and OpenAI partnership from our Founder Vytenis

    View profile for Vytenis (WeTennis) Pakenas, graphic

    Founder @ isLucid.com ➡️ AI to amplify spoken communication with data from text, get answers, and enrich CRM with verbal conversation highlights

    Love this quote from VentureBeat: "With tech superpowers like Apple, Microsoft, Google and Amazon all now deeply in bed with OpenAI or developing their own advanced AI in-house, the battle lines are being drawn for a showdown over the future of computing." What a heck? Well, Apple announced its deep integration with OpenAI. So deep that potentially even my notes might become accessible to OpenAI. So fcked up for the relationship, as even Microsoft (one of the biggest OpenAI backers) might feel the threat. So strange and makes me wonder if my data is actually mine. If I'm writing a new piece of code - Copilot can accelerate somebody else's development ant R&D. If I'm crafting a new pricing model based on the company-wide data I have - I don't want it to be helpful to thousands more entrepreneurs who chat with ChatGPT on best pricing strategies. Personally don't have a full understanding of the magnitude of these changes. Yet I will look for an option to block such behavior, will upgrade the computer, and will go on personal LLM running on my machine (as with isLucid we do for our customers). Just in case.

  • View organization page for isLucid, graphic

    810 followers

    Pastarąjį mėnesį didžiosios technologijų įmonės pristatė intriguojančias dirbtinio intelekto naujoves: „OpenAI“ paskelbė patobulintą kalbos roboto „ChatGPT“ versiją „GPT-4o“. 💥 Beveik tuo pačiu metu „Google“ kasmetiniame renginyje pristatė dirbtiniu intelektu patobulintą paieškos sistemą „Gemini“, kuri kol kas prieinama tik JAV. 💁♀️ Taip pat „Meta“ pristatė naują asistentą „Meta AI“, skirtą palengvinti bendravimą socialiniuose tinkluose ir jį pakeisti. 🌏 DI naujovių ypatumus bei vykstančias varžybas tarp didžiųjų rinkos žaidėjų LRT laidoje apžvelgė ir kartu savo įžvalgomis pasidalino #isLucid vadovas Vytenis (WeTennis) Pakenas. Laidos įrašas: https://lnkd.in/dxaSE2Vy

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