At adaptAI, we are passionate about empowering mid-sized businesses to harness the transformative potential of artificial intelligence (AI). Our mission is to be your trusted partner in navigating the AI landscape, guiding you through the process of identifying and implementing intelligent solutions that drive efficiency, innovation, and sustainable growth. At adaptAI, the democratization of AI goes beyond being a mere concept—it's a dynamic movement demanding concrete actions. Our journey began as a collective of open-source enthusiasts, united by the belief that the creation and utilization of AI should be freely accessible.
adaptAI Inc.的外部链接
2700 Glades Circle
Ste 139
US，Florida，Weston，33327
A research revelation! This platform's brilliance astounds me. Every search ignites my curiosity and fuels my passion for discovery. I can't resist exploring every day for hours ??
We're proud to announce Perplexity's first university-wide partnership with Texas A&M University. Texas A&M is rolling out Perplexity Enterprise Pro campus-wide, providing reliable, cited research, collaborative learning, and AI literacy development for students, faculty, & staff.
? Navigating the Complexities of AI Pricing Models Determining the right pricing for AI solutions can be daunting. Unlike traditional software, AI often requires customization, continuous updates, and scalable infrastructure. Here's a concise look at the challenges and strategies involved. ?? Why AI Pricing is Complex ?? Customization Needs: Many AI solutions must be tailored to specific business use cases. ?? Ongoing Maintenance: AI models need regular updates to stay accurate. ?? Infrastructure Costs: High-performance computing resources add to expenses. ?? Perceived Value: Communicating the long-term value of AI can be challenging. ?? Popular AI Pricing Models ?? Subscription-Based: Recurring fees for SaaS platforms. ?? Pay-Per-Use: Charges based on data processed or API calls. ?? Project-Based: One-time cost for custom development. ?? Outcome-Based: Pricing tied to results like cost savings or efficiency gains. ?? Hybrid Models: A mix of the above for flexibility. ? Strategies for Success ? ?? Understand Client Goals: Align pricing with the client’s desired outcomes. ?? Be Transparent: Clearly outline costs, including development and maintenance. ?? Show ROI: Use case studies and metrics to demonstrate value. ?? Offer Scalable Options: Provide flexible tiers to grow with client needs. ?? Communicating Value ? Simplify the conversation by: Using clear, non-technical language. Highlighting real-world examples. Focusing on outcomes rather than technical details. ?? Conclusion AI pricing is about balancing costs with value while building trust. By adopting flexible models and effectively communicating benefits, businesses can ensure success for both providers and clients. At adaptAI Inc., we’re actively addressing these challenges by offering tailored pricing models that align with our clients' goals. From scalable subscription plans to results-driven outcomes, we aim to make AI accessible, transparent, and impactful for businesses of all sizes. #AI #Pricing
Carlos, I want to take a moment to express how proud I am of the entire team and the incredible value we are delivering to our customers and prospects. The impact we’re making is a direct reflection of the hard work, dedication, and commitment everyone has shown. Your leadership and drive have been instrumental in pushing us forward. The way you continue to lead by example and inspire those around you is truly impressive. Your strategic vision and hands-on approach are making a real difference in how we engage with clients and identify new opportunities. You are an absolute rockstar, ??and I’m genuinely grateful to have you leading our organization. I’m excited to see how we continue to grow and achieve even greater success together.#adaptAi
Accelerate your business with AI! I heard this tagline this morning as I was watching Bloomberg TV. Here are a few ways on how you can do this. 1. You can respond quicker to a prospective customer after you have issued a quote “months ago.” 2. You can collect on an aging AR account by knowing why there is a delay in your payment quickly. 3. You can swift through all the “noise” by having an AI agent quickly, analyze and summarize meeting notes for you (privately and securely) 4. An AI agent can dynamically price your goods or services based on supply demand in the market. With adaptAI Inc. as your partner, you can build all these AI agents in a fixed cost, private and secure manner. Curious? Book an appointment with me and I can explain. https://lnkd.in/eBkkiDNp
Great work from the todorobotics team and our crew ?? #adaptAi
Yesterday we had the opportunity to showcase autonomous cleaning robots at Nova Southeastern University and their national janitorial service provider. The demo went smoothly and the two robots performed flawlessly. These units are made by Gausium Robotics. We are also working with Pudu Robots to provide a more complete service to our clients. Cleaning is just one of several mundane functions these units can handle. More to come on this… adaptAI Inc. is working on injecting GenAI in future models to drive forth even more efficiency in the human-to-machine interface.
We are very excited to announce a new service offering from adaptAI Inc. , [FDS] Fractional Data Science services. Book a call to find out more.
?? Introducing Fractional Data Science Services at adaptAI ?? We're excited to announce a new service offering that’s designed to meet the needs of businesses looking to leverage data science without the commitment of a full-time team: Fractional Data Science Services (FDS). At adaptAI, we understand that organizations are under pressure to make data-driven decisions but may not have the resources for a dedicated data science team. Our Fractional Data Science services provide flexible, on-demand access to experienced professionals, so you can solve complex problems and scale your data capabilities—without the overhead. What we offer: ?? Custom Data Strategy & Roadmap to align your data initiatives with business goals? ?? Advanced Analytics & machine learning solutions to help predict and prescribe the best outcomes? ?? AI Model Development to automate and optimize your processes? ?? Natural Language Processing for smarter customer insights and service automation? ?? Data Engineering Support to ensure you have clean, actionable data? ?? Team Augmentation to enhance your in-house capabilities with expert leadership Our approach is simple: you get the expertise you need, when you need it. Whether it’s a one-time project or ongoing support, we work alongside you to make data work for your business. Let’s chat about how we can help your team leverage data to drive real results. ?? Book a call with us today: [https://lnkd.in/emVR4VnS] #DataScience #AI #MachineLearning #Analytics #BusinessStrategy #adaptAI #DataDriven?
?? Introducing Fractional Data Science Services at adaptAI ?? We're excited to announce a new service offering that’s designed to meet the needs of businesses looking to leverage data science without the commitment of a full-time team: Fractional Data Science Services (FDS). At adaptAI, we understand that organizations are under pressure to make data-driven decisions but may not have the resources for a dedicated data science team. Our Fractional Data Science services provide flexible, on-demand access to experienced professionals, so you can solve complex problems and scale your data capabilities—without the overhead. What we offer: ?? Custom Data Strategy & Roadmap to align your data initiatives with business goals? ?? Advanced Analytics & machine learning solutions to help predict and prescribe the best outcomes? ?? AI Model Development to automate and optimize your processes? ?? Natural Language Processing for smarter customer insights and service automation? ?? Data Engineering Support to ensure you have clean, actionable data? ?? Team Augmentation to enhance your in-house capabilities with expert leadership Our approach is simple: you get the expertise you need, when you need it. Whether it’s a one-time project or ongoing support, we work alongside you to make data work for your business. Let’s chat about how we can help your team leverage data to drive real results. ?? Book a call with us today: [https://lnkd.in/emVR4VnS] #DataScience #AI #MachineLearning #Analytics #BusinessStrategy #adaptAI #DataDriven?
?? Small Language Models (SLMs): The Future of Efficient AI Agents ??? SLMs have been around for over a year now, and we've been exploring their capabilities at adaptAI for several months. The results? They’re simpler to work with and require significantly fewer resources compared to traditional large models. ?? What Makes SLMs So Special? Low resource usage: Run on thinly provisioned VMs or even laptops! ?? Cost-effective: With fewer parameters, they generate less computational noise, which translates to lower TCO (Total Cost of Ownership) over time. ?? Faster deployment: SLMs are much quicker and easier to deploy, making them ideal for simple, service-oriented AI agents. ?? SLMs & RAG: A Powerful Pair When it comes to retrieval-augmented generation (RAG), incorporating vectorized data into an SLM is just as efficient as using larger models—but with a huge boost in efficiency and reduced resource demands. The use case is key: Simple AI agents that need to answer concise questions—think HR policies, travel procedures, or internal queries. ???? ?? Focus on Simplicity, Not Complexity SLMs shine when you need a straightforward, concise response. The ability to control things like the temperature parameter ensures that answers stay brief and to the point. ?? Lifecycle Management While SLMs can be a breeze to deploy, managing their lifecycle can be tricky, so we wouldn't recommend this architecture just yet for large-scale deployments. ??? But the journey is just beginning… and it's getting easier, faster, and more efficient every day! ?? ?? Key Takeaway: If you're building an agentic solution with simple, actionable AI—SLMs may be exactly what you need. Just keep in mind: the business use case should always drive your choice of model. ?? ?? Ready to explore how SLMs can help you save resources and improve efficiency? Let’s chat! ?? #AI #SmallLanguageModels #MachineLearning #Efficiency #CostSavings #AdaptAI #AIUseCases #TechInnovation #RAG #BusinessSolutions
?? Join Us Today at the South Florida Manufacturing Association Annual Gala! We’re excited to be part of this year’s South Florida Manufacturing Association Annual Gala! ?? What’s in store? We'll be showcasing cutting-edge autonomous service robots in collaboration with our amazing partner ToDo Robotics LLC. ?? Where to find us? Visit us at Booth #36 to see the future of robotics in action. ??? We can’t wait to connect with fellow industry professionals and discuss how these robots are revolutionizing manufacturing and service industries! See you there! ?? #Innovation #Robotics #Manufacturing #Automation #Tech #SouthFloridaGala #TodoRobotics #FutureOfWork #TodoRobotics #Robots #AI
adaptAI is now officially on TikTok! Follow us there for funny and brief snippets about our work. At adaptAI, we make it easy and simple to work with LLMs. https://lnkd.in/eCnqa2_7
This partnership significantly boosts the model's efficiency for real-time applications and makes AI deployments more scalable and cost-effective. Loving Llama 3.2B Models ?? #adaptAi
Groq has set a world record in LLM inference API speed by serving Llama 3.2 1B at >3k tokens/s ?? Meta's Llama 3.2 3B and 1B models are well positioned for two categories of use-cases. Firstly, applications running on edge devices or on-device, where compute resources are limited. Secondly, use-cases which require very fast response times and/or very cheap token generation. Groq with their custom LPU chips are taking fast and cheap token generation to the extreme by serving the models at >3k tokens per second and pricing at $0.04/1M input/output tokens. To put this in context, this is ~25X faster than GPT-4o's API and ~110X cheaper. While intelligence of these models is not comparable to the much larger frontier models, not all use-cases require frontier intelligence. Consumer apps which require real-time interaction and cheap token generation, live monitoring and classification are both example use-cases which suit these smaller models. Link below for our analysis of how Llama 3.2 3B & 1B compare to other smaller models, and of the providers serving them ??