What Is Artificial Intelligence (AI)?
Top 5 AI Tools Driving Success In 2025
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Having the right tools isn't just convenient—it's essential for sustainable growth. The best solutions solve real problems and deliver measurable returns through improved efficiency, better customer experiences, and expanded capabilities.
Here are three AI-powered tools helping businesses transform operations in 2025:
1. Rezolve.Ai: Instant IT and HR Support Inside Your Communication ToolsWe've all watched productivity grind to a halt waiting for IT help. You forget a password, need software installed, or have a benefits question, then you spend hours checking ticket status instead of doing your job. Rezolve.Ai eliminates this productivity killer by bringing AI-powered support directly into Microsoft Teams and Slack, where people already work.
Key Features:
Rezolve.Ai has strategically built its platform to embrace the full potential of Agentic AI, ensuring that enterprises can leverage AI-driven assistance that continuously learns from interactions and improves over time. Customers are already experiencing significant benefits, including a drastic reduction in resolution times, increased automation coverage, and improved employee satisfaction.
Pricing: Rezolve.Ai offers custom enterprise pricing based on company size and needs.
2. Velaris: AI-Driven Customer Success for Maximum Retention
You've experienced the shock of losing a customer who never complained. They seemed happy, paid their bills, but suddenly canceled—taking their lifetime value with them. Velaris prevents these expensive surprises by helping customer success teams identify at-risk accounts before problems become cancellations.
Key Features:
The platform detects subtle usage patterns that predict churn before customers even think about leaving. It enables proactive check-ins based on product adoption metrics and provides leadership with real-time dashboards showing exactly which accounts need attention now—not after they've already decided to leave.
Pricing: Velaris offers custom pricing based on team size and requirements.
3. Huntr: Job Search Management That Actually Works
Your resume makes or breaks your job search. Generic templates and guessing which skills to highlight lead to rejection after rejection. Huntr solves this with AI-driven resume optimization trusted by over 300,000 users across 180+ countries.
Key Features:
The AI analyzes job descriptions and transforms your experience into a perfectly optimized resume with exactly the keywords hiring managers and ATS systems are looking for. You'll know exactly why your applications are getting noticed instead of filtered out. Beyond building standout resumes, Huntr helps you track applications, set goals, and never miss follow-ups.
Pricing:
These AI tools solve problems you face every day. They eliminate the frustrations that slow your team down—repetitive tasks, scattered customer data, delayed support, surprise cancellations, and manual data collection.
The right tool doesn't just add capabilities; it removes obstacles. When evaluating options for your organization, look beyond feature lists and ask: "What specific pain point will this eliminate for my team?" The best investment is the one that solves your most pressing challenge.
5 Key TakeawaysAI And Your Patent Management, Strategy & Portfolio
Kilpatrick's Tyler McAllister recently spoke on a panel at The IP Strategy Summit in Seattle. The panel, "AI and Your Patent Management, Strategy & Portfolio" covered how you can leverage AI for efficient patent portfolio management, exploring data analytics for IP strategy, and uncovering emerging AI technologies reshaping patent prosecution. Gain insights into predictive analytics for anticipating patent office actions and preparing for the future of patent professionals in the AI era.
Tyler's key takeaways from the presentation include:
1. Organizations are increasingly adopting AI to enhance IP workflows, driven by top-level leadership mandates. Real-world applications include internal GPT-like tools for invention intake, preparation of invention disclosure forms, review of patent applications. The tools are aimed at reducing internal bottlenecks in the patent review process. Other tools are being developed in-house for portfolio strategy, AI-driven analytics, and classification systems to identify high-value patents early.
2. Law firms face pressure to deliver more value at lower costs. While AI tools promise efficiency, many third-party options lack substance, requiring careful vetting to ensure quality. Law firms should think how the technology provides additional client value and be prepared to articulate this value in concrete terms (e.G., insights relating to how patent claims relate to client's products or those of competitors).
3. The overwhelming number of AI products and lack of universal standards complicate decision-making. Effective selection requires a health amount of skepticism, real-world testing, oversight to maintain quality, and balancing the benefits of building internal tools versus purchasing external solutions for complex tasks. Companies working from the ground up might in this space may end up winning the day, compared to those trying to sell a "bolton" AI feature to accompany an already existing product. Threshold questions for any new vendor should include confidentiality, data security, and privacy, in addition to features.
4. Business leaders and patent teams are not always aligned. Use of AI tools, including summarizations, mappings, and categorizations of patent assets can be useful to help business leaders understand how patents relate to their spend (e.G., features, services, etc.).
5. With AI evolving faster than legislation, companies must remain agile to navigate dynamic changes. Staying ahead requires anticipating technological shifts and adapting strategies to meet emerging challenges in the IP landscape.
The Original AI Model Behind ChatGPT Will Live On In Your Favorite Apps
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OpenAI has released its GPT‑3.5 Turbo API to developers as of Monday, bringing back to life the base model that powered the ChatGPT chatbot that took the world by storm in 2022. It will now be available for use in several well-known apps and services. The AI brand has indicated that the model comes with several optimizations and will be cheaper for developers to build upon, making the model a more efficient option for features on popular applications, including Snapchat and Instacart.
Apps supporting GPT‑3.5 Turbo APIOpenAI detailed some of the companies that will use the GPT‑3.5 API to update their popular applications. Many of the apps will use the API to incorporate AI chat features into their interfaces. Snap Inc. Recently announced a My AI feature for its Snapchat+ subscription tier. It will serve as a custom chatbot for users, offering recommendations and text editing, among other unique functions for Snapchat's 750 million monthly users. Quizlet is a learning platform used by over 60 million students globally, which will integrate the API as an AI tutor that can interact with students based on their topic and level of study. Instacart collaborates with over 75,000 retail locations to provide shopping experiences. Its "Ask Instacart" API integration, set to launch later this year, will allow users to ask functional questions, such as how to make a certain recipe, to assist with shopping needs. Shopify is an e-commerce app that allows its 100 million shoppers to easily find their desired products and brands. The addition of the GPT‑3.5 API will enable a shopping assistant that will provide personalized, prompt-based recommendations of the app's extensive product database.
GPT‑3.5 history and updatesChatGPT 3.5 was OpenAI's first publicly available AI model, with the introduction of ChatGPT in November 2022. It powered the chatbot's free tier with various updates from its inception until July 2024, when it was succeeded by GPT-4o mini. The current GPT-4o mini model remains in use at the base mode for all ChatGPT tiers. During its time, ChatGPT 3.5 was especially known for its hallucinations, or making up responses when it didn't have the answers readily available. This was primarily because the model was trained on data up to September 2021 and could not answer questions beyond that point.
However, OpenAI indicated that the GPT‑3.5 Turbo API has been formulated for developers to use to create beyond chat-based products. The company added that all updates made available will be a stable version, which it recommends developers opt for use. The current GPT‑3.5 Turbo API is also cheaper for developers to use at $0.002 per 1k tokens and is 10x cheaper than prior GPT‑3.5 models.
Whisper API shows open-source upgradesOpenAI also discussed its upgrade of the Whisper API, a speech-to-text model that was first developed as an open-source model and made available to developers in September 2022. The brand noted that the model was originally hard to run but has now been optimized for faster performance. Whisper API works by transcribing the source language into English. It works with several audio formats, including, m4a, mp3, mp4, mpeg, mpga, wav, and webm.
An app that currently supports the Whisper API is Speak, an AI-powered language learning app available in South Korea, which is the premier app for learning English in the country. The Whisper API update is intended to expand support for Speak globally. The app promises to assist users with achieving fluency in language learning, with open-ended practice and accurate feedback.
Notably, OpenAI is providing an update to the Whisper AI API– a model that has always been open source in its library, after the sudden popularity of the Chinese AI brand DeepSeek. The company's CEO, Sam Altman, stated in a Reddit AMA in early February that OpenAI was "on the wrong side of history" and that the company needed to reconfigure its open-source strategy.
Additionally, OpenAI's chief product officer, Kevin Weil, also stated during the AMA session that there was potential for the company to make its older, less cutting-edge models open-source. He didn't give any specifics about which model could be used for an open-source project at that time; however, Whisper API appears to be a good example of what he had in mind.
GPT‑3.5 Turbo isn't the only ghost modelOpenAI has been making many changes to model availability recently. Over several months, the brand has had a focus on releasing several reasoning models, which are better at logical thinking and can show the thought process behind results. As said, the ChatGPT base model is currently a reasoning model, and OpenAI allows full access to several other reasoning models through its paid subscription tiers. With several reasoning model options available, OpenAI recently announced its decision to retire the GPT-4 large language model (LLM), which powered the ChatGPT Plus tier before GPT-4o mini. The model will be available in the ChatGPT interface until April 30.
OpenAI detailed that the GPT-4 LLM will still be available as an API for developers. While it remains unknown how OpenAI will use the GPT-4 API moving forward, seeing what the company did with GPT‑3.5 Turbo might give an idea of what's in store.
Notably, when OpenAI first announced GPT-4 in March 2023, the company detailed its several business integrations of the LLM, including the language learning app Duolingo, the education website Khan Academy, the Danish mobile app Be My Eyes, the payment app Stripe, the AI agent company Auto-GPT, and the AI assistant You.Com, in addition to its major collaboration with Microsoft for its Copliot AI assistant.
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