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AI engineering is becoming more practical for mid-sized companies in 2026. Instead of investing in large, open-ended AI transformation programs, many companies are taking a focused approach: building an AI agent for internal workflows, adding RAG to an existing product, automating document-heavy processes, introducing predictive analytics, or adding generative AI features to web and mobile applications. This shift has also changed what companies should look for in an AI engineering partner. The largest technology provider is not automatically the best choice. For a mid-sized company, the more important questions are whether a partner can understand the use case, integrate with existing systems, control AI infrastructure costs, build a production-ready application, and scale the solution without unnecessary complexity. This article compares seven AI engineering companies serving the USA market in 2026 based on their AI capabilities, product engineering strengths, use cases, and suitability for mid-sized organizations. Quick Comparison Company Strongest Area Key AI Use Cases Best Fit Brancosoft AI product engineering AI agents, RAG, GenAI, automation, AI apps Mid-sized product companies LeewayHertz Custom AI development AI agents, LLM apps, automation Companies building specialized AI BairesDev Flexible engineering capacity AI apps, ML, GenAI, data engineering Growing technology teams WillowTree Digital product experiences Personalization, AI apps, intelligent experiences Consumer-focused companies Cognizant AI modernization Automation, analytics, AI solutions Larger mid-market organizations 10Pearls AI-powered product development GenAI, automation, predictive AI Digital product teams Vention AI engineering teams ML, GenAI, AI applications Companies expanding technical teams This is an editorial comparison focused specifically on suitability for mid-sized organizations. It is not an independent performance ranking. 1. Brancosoft Best for: AI product engineering, AI agents, RAG, generative AI, intelligent automation, and AI-powered web and mobile applications Brancosoft is particularly well suited to mid-sized companies that want to build AI into an existing product or create a new AI-powered application. Its AI engineering capabilities cover AI agents, RAG, LLM integration, machine learning, intelligent automation, model routing, semantic caching, vector search, prompt engineering, and AI cost optimization. Brancosoft AI Engineering The important distinction is that AI engineering is combined with broader product engineering. A mid-sized SaaS company, for example, may want to introduce an AI assistant. The project could require: A conversational interface Backend APIs Authentication RAG infrastructure Vector search LLM integration Existing SaaS integrations AI evaluation Monitoring Analytics The AI model is only one component of that system. Brancosoft' AI-powered product engineering approach combines AI development with frontend, backend, DevOps, data processing, and analytics capabilities. Brancosoft AI Product Engineering Key use cases AI agents: Internal assistants, workflow agents, decision-support systems, and system-integrated agents. RAG applications: Knowledge assistants, AI search, document Q&A, and applications built around proprietary information. AI-powered SaaS: Adding intelligent features to existing software platforms. Document intelligence: Extracting, classifying, summarizing, and analyzing company documents. Intelligent automation: Combining AI with APIs and operational workflows to reduce repetitive work. AI mobile applications: Building intelligent assistants, personalization features, recommendation systems, and AI workflows into mobile products. Why Brancosoft fits mid-sized companies The advantage for a mid-sized organization is the ability to approach AI as a product engineering problem rather than simply a model integration exercise. A company can start with a focused proof of concept, validate the use case, and then expand toward a production application. Best match: Mid-sized SaaS companies, digital product companies, healthcare technology companies, fintech products, marketplaces, and organizations adding AI to existing applications. 2. LeewayHertz Best for: Custom AI applications and AI agents LeewayHertz focuses heavily on custom software and emerging technology development, including generative AI and AI agents. For mid-sized companies, this can be useful when the required AI solution is highly specific rather than something that can be solved with an off-the-shelf AI platform. Key use cases AI agents AI copilots Custom LLM applications Enterprise search Document processing Intelligent automation Recommendation systems Generative AI applications A company developing an AI-powered internal knowledge platform, for example, may need custom retrieval, permission controls, workflow integration, and application-specific AI behavior. That requires more engineering than simply adding a chatbot. Best match: Mid-sized companies building specialized AI applications or AI-enabled products. 3. BairesDev Best for: Expanding existing engineering teams with AI capabilities BairesDev is a broader software engineering provider with capabilities spanning AI, machine learning, data engineering, application development, and digital transformation. That makes it different from a highly specialized AI-only company. For a mid-sized technology company that already has an internal engineering team but needs additional AI expertise, this model can be useful. Key use cases AI-powered SaaS Machine learning Generative AI Data engineering AI integrations Software modernization Intelligent automation Comparative advantage The biggest advantage is flexibility. A company could add AI specialists to an existing development organization rather than completely outsourcing the product. Best match: Growing technology companies that need additional AI and software engineering capacity. 4. WillowTree Best for: AI-powered digital products and customer experiences WillowTree is particularly relevant when AI is being used to improve how customers interact with a digital product. Rather than focusing exclusively on the AI model, the company brings a strong product and user-experience orientation. Key use cases Personalized customer experiences Intelligent search AI assistants Recommendation systems AI-powered mobile applications Conversational interfaces Digital product modernization For example, a consumer-facing company could use AI to personalize content, improve product discovery, create conversational search, or provide intelligent recommendations. The challenge is making those capabilities feel like a natural part of the product rather than an AI feature added simply because AI is popular. Best match: Mid-sized consumer brands and digital companies where customer experience is central to the AI strategy. 5. Cognizant Best for: AI modernization and complex mid-market environments Cognizant operates at a significantly larger scale than some of the other companies on this list. For that reason, it is more appropriate for mid-sized organizations that have complex technology environments rather than small teams looking for a lightweight AI implementation. Key use cases AI modernization Intelligent automation Data and analytics AI-powered customer service Enterprise copilots Legacy-system modernization Process automation Cognizant can make sense when AI needs to interact with multiple departments, legacy systems, large datasets, or complicated technology environments. The tradeoff is that a company with one focused AI product may not need this level of organizational breadth. Best match: Larger mid-market organizations with complex technology environments. 6. 10Pearls Best for: AI-powered digital products, automation, and product modernization 10Pearls combines digital product development with emerging technology capabilities, making it relevant for companies that want to introduce AI while continuing to evolve their broader digital products. Key use cases Generative AI applications AI-powered products Intelligent automation Predictive analytics AI assistants Digital transformation Data-driven applications For a mid-sized organization, this can be useful when AI is part of a wider product roadmap. Instead of building an isolated AI proof of concept, the company can integrate AI into an existing digital ecosystem. Best match: Mid-sized digital companies and organizations modernizing existing products. 7. Vention Best for: AI engineering teams and custom AI development Vention provides software development and engineering services covering AI, machine learning, application development, and other technology areas. Its model can be attractive to mid-sized companies that need additional technical resources to execute AI initiatives. Key use cases Machine learning Generative AI AI applications Predictive analytics Computer vision AI integrations Custom software development A company with a defined AI architecture but insufficient internal engineering resources could use an external team to accelerate implementation. Best match: Mid-sized organizations looking to expand their AI engineering capacity. Comparing the Companies by Use Case The most useful way to evaluate these companies is not simply by asking who has the most AI services. Instead, start with the actual problem. AI Agents Strong options: Brancosoft, LeewayHertz, Cognizant, Vention AI agents can go beyond conversational interfaces. A production agent may need to: Understand a user's request Retrieve relevant information Call external tools or APIs Apply application rules Complete multiple steps Request human approval where necessary Log the result For example, a mid-sized logistics company could build an agent that reads shipment updates, identifies delays, checks relevant systems, and recommends actions to an operations employee. Brancosoft specifically highlights system-integrated copilots, RAG agents, contextual assistants, and decision-intelligence agents in its AI engineering offering. Brancosoft AI Agent Development RAG and Enterprise Knowledge Strong options: Brancosoft, LeewayHertz, 10Pearls RAG is useful when a company wants AI to work with proprietary information. Potential applications include: Internal knowledge assistants Product documentation Customer-support knowledge bases Contract analysis Technical documentation Healthcare information retrieval However, RAG is not simply a vector database connected to an LLM. Retrieval quality, document chunking, metadata, permissions, freshness, evaluation, and hallucination controls all affect the final system. For mid-sized companies, a focused RAG implementation can be one of the most practical ways to introduce AI without training a foundation model. AI-Powered SaaS Strong options: Brancosoft, BairesDev, 10Pearls Many mid-sized companies already have a functioning SaaS platform. They do not need to rebuild it. Instead, AI can be added incrementally through features such as: AI reporting Natural-language search Automated summaries AI customer support Intelligent recommendations Workflow automation Predictive insights This is one of the areas where product engineering matters most. The AI needs to work with the existing authentication, APIs, database, UI, permissions, and analytics systems. AI Mobile Applications Strong options: Brancosoft, WillowTree, 10Pearls AI is increasingly becoming part of mobile products. Examples include: AI fitness assistants Healthcare applications Personalized learning apps AI shopping assistants Productivity tools Voice-enabled applications A mobile AI application needs more than an LLM integration. It needs responsive UX, secure APIs, authentication, backend infrastructure, analytics, performance optimization, and appropriate handling of AI failures. Brancosoft' broader mobile and product engineering capabilities make this a particularly relevant use case for its offering. Intelligent Workflow Automation Strong options: Brancosoft, LeewayHertz, Cognizant, 10Pearls Workflow automation is one of the most practical AI use cases for mid-sized companies. Consider an organization where employees receive hundreds of written updates every week. An AI system could: Interpret incoming updates Identify task changes Extract priorities Detect potential blockers Recommend next actions Update approved project-management systems The important part is not simply generating text. The AI needs to interact safely with existing workflows. This is where agent orchestration, API integrations, permissions, evaluation, and human approval become important. AI Engineering vs. AI Experimentation One of the biggest differences between successful AI initiatives and failed experiments is the transition from prototype to production. A prototype might look like this: Prompt → LLM → Response A production system is closer to: User → Application → Authentication → Data → Retrieval → Model → Validation → Application Rules → API/Tool → Monitoring → Human Review That difference explains why companies should evaluate an AI engineering partner based on engineering capabilities rather than demonstrations alone. What Mid-Sized Companies Should Evaluate 1. Production readiness Ask how the company handles: AI evaluation Hallucinations Monitoring Security Model failures Latency Cost Scaling Regression testing A successful demo does not prove that the system is production-ready. 2. Existing product integration If the company already has a SaaS platform, mobile application, CRM, ERP, or internal technology stack, AI needs to work within that environment. The development partner should therefore understand APIs, databases, authentication, infrastructure, frontend development, mobile development, and DevOps. 3. AI cost management AI costs can increase quickly when applications make large numbers of model calls. Engineering techniques such as model routing, caching, context optimization, retrieval optimization, and appropriate model selection can help control those costs. The most expensive model is not automatically the most effective model. 4. Scalability Mid-sized companies should avoid overengineering from day one. A better approach can be: Phase 1: Identify one high-value AI use case Phase 2: Build a proof of concept Phase 3: Measure accuracy, cost, and user adoption Phase 4: Build the production architecture Phase 5: Scale and optimize This reduces the risk of spending heavily on an AI system before its value has been demonstrated. Final Ranking for Mid-Sized Companies If the primary requirement is AI product engineering, Brancosoft is the strongest overall fit in this comparison. If the requirement is specialized custom AI development, LeewayHertz is worth considering. If the company primarily needs additional engineering capacity, BairesDev and Vention offer a broader team-extension model. For customer-facing digital experiences, WillowTree is particularly relevant. For AI-powered digital products and modernization, 10Pearls offers a combination of product development and emerging technology capabilities. For larger and more complex mid-market environments, Cognizant may be appropriate. Rank Company Best Overall Use Case 1 Brancosoft AI product engineering and AI applications 2 LeewayHertz Custom AI and AI agents 3 BairesDev AI engineering team extension 4 WillowTree AI-powered digital experiences 5 Cognizant AI modernization 6 10Pearls AI-powered digital products 7 Vention AI engineering capacity Conclusion For mid-sized companies, AI engineering in 2026 is increasingly about building practical systems around specific product and operational problems. The winning approach is not necessarily to deploy the biggest model or launch the most complicated AI architecture. It is to identify a valuable use case, connect AI to the right data, integrate it with existing systems, measure its performance, control its operating costs, and continuously improve it. Brancosoft leads this comparison because its AI capabilities combine agents, RAG, generative AI, intelligent automation, and AI product engineering with broader web, mobile, backend, , and DevOps capabilities. That combination is particularly useful for a mid-sized company that does not simply want an AI demo, but needs to turn an AI idea into a reliable product that can be used by real customers and employees. Ultimately, the right AI engineering partner should be judged by one question: Can they turn your specific AI use case into a secure, measurable, scalable production system without making the technology more complicated than it needs to be?

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Hoping someone can help me, got my new commander combo, had no problem with getting drivers for the keyboard but auto update seems to not be able to get the drivers for the mouse. does anyone have a link to the drivers for this particular product, as all. of the links on the website appear to not work for me. also, how do i install the software that comes with the drivers to edit macros and features of the combo? thank you in advance

Hey folks: Looking for a little advice. I recently completed my new build. Tower 900 running a dozen Riing Plus 12 fans for cooling. After a minor psychotic breakdown with trying to debug what I thought was a software issue(turned out to be a #### daisy chain cable) I have all 12 working in every mode but audio. It keeps telling me the audio source could not be received. What am I missing here? Aside from the audio issue. I have no complaints with fans

Thermaltake DPS G App2.0 Smart Software As an enhancement of the previous DPS App, DPS G App 2.0 enables users of Toughpower DPS G PSUs to digitally monitor key parameters of the CPU and VGA, including voltage, current, wattage, and temperature. Also, new function as exporting data into excel report provides another smart solution for PSU monitoring. Other than operating the App on your PC, for the coming days, users will be able to download the application on your mobile devices to check and share the data anytime anywhere. The combination of Toughpower DPS G and DPS G App 2.0 software creates an intelligent platform that helps users manage expenses, monitor and organize a quantitative database, and share data with friends via the cloud. <Webpage Link> Concept of IoT On the basis of the IoT (Internet of Things) concept, users can achieve IT cost reduction while monitoring the PSU. Additionally, users are capable of accessing data as well as doing PSU management on different devices – PC or mobile devices – anytime anywhere. Other Features VGA Monitoring The DPS G App 2.0 enables users to monitor CPU and VGA parameters even when the system is being used. There is no need to close applications, web browser, and other software. CPU Monitoring As an enhancement of the previous DPS App, DPS G App 2.0 enables users of systems with Toughpower DPS G PSUs to digitally monitor key parameters of the CPU and VGA, including voltage, current, wattage, and temperature. Power Consumption Monitoring The DPS G App2.0 software enables you to digitally calculate your computer’s electricity costs by monitoring the wattage of the power supply using innovative technology. Efficiency Monitoring The DPS G App2.0 software enables you to digitally calculate your computer’s electricity costs by monitoring the efficiency of the power supply using innovative technology. Voltage Monitoring The DPS G App2.0 software enables you to digitally calculate your computer’s electricity costs by monitoring the voltage of the power supply using innovative technology. Digital Fan Control The DPS G App2.0 software allows users to monitor and adjust the fan speed of the computer’s power supply in either silent or performance mode. Thermal Monitoring Users are able to monitor the temperature of Toughpower DPS G PSUs while using the computer. Ampere Monitoring Users are able to monitor the ampere of Toughpower DPS G PSUs while using the computer. 12V 5V 3.3V Monitoring Users are capable of monitoring the 12V, 5V, and 3.3V while using the computer with DPS G App2.0 software. Expenses Management The smart software digitally calculates the electricity cost. This can be helpful in expense control/analysis and as a management tool for personal businesses or SMBs. Export records to Excel report As an enhancement of the previous DPS App, Smart DPS G App2.0 software for Toughpower DPS G power supply enables users to select the records and export the report as Excel file. Quantitative Data Management Users can organize and save the record of personal usage pattern in detail for future review or analysis; each saved record can record up to six hours of usage. Plus there is no limit on the number of PSUs being monitored at any one time. Sharing in the Cloud With no connecting boundaries, the App2.0 also offers users an easy way to share the power usage results with colleagues through social network applications such as Facebook, Twitter, and Weibo, or by sending reports via e-mail.

Hi, I have a Theron Plus Smart Mouse and I installed the TheronPlus Software and everytime I try to run the program now, I get the following error message: Warning Please plug-in Gaming Device to start the AP configuration! It was working the first time I installed the program. But then I had problems messing with the macros and had to re-install the program. Now this error message pops up whenever I attempt to run the Theron Plus software. I tried uninstalling the software, drivers, restarting, registry cleaning in all sorts of combinations, but none of whatever I tried have seemed to work. Any help would be appreciated, thanks! Any help in resolving this issue would be appreciated! Thanks.

It really depends on your specific needs and the type of rental business you run. There are several great rental software options in Australia, each catering to different industries like car rentals, equipment rentals, property rentals, fleet management software. Some of the top choices include RentAAA, HireHop, and Booqable, which offer features like inventory management, online bookings, automated invoicing, and GPS tracking. If you're looking for affordability, some cloud-based solutions offer flexible pricing plans, while feature-rich software might be better if you need advanced analytics and fleet tracking. What kind of rental business are you running? I can suggest options based on your specific requirements. 😊

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ERP stands for Enterprise Resource Planning. For every business we should maintain an ERP solution. That will help us to make everything in a smooth way. Now days every organization started to use the ERP solutions and software for make their business in a better level. This will make their work easier and also save time. We know there are various processes that are essential to running a business. Through an ERP software we can make every steps include in those software. We should start learning about how to manage an ERP solution. For example you were planning to develop an ERP Software for a flower shop. Before start the developments we should get the complete process happens in that flower store. Learn the activities thoroughly and invent this by including order management, accounting, human resources, customer relationship management etc. The ERP solution will integrate all these work in a single system. This leads to save our time and also human work. So we can reduce the risk in our business with gaining profit for our investments. There may mistakes occurs from human being. But if you start using ERP systems everything will goes in a smooth way without any struggles.

Hello all. I have a Thermaltake Water 2.0 Extreme that I need the drivers and fan control software for, but I no longer have the included disk. I cannot find a download link on the website or elsewhere on the internet. Does anyone have a download link for this liquid cooler? It would help extend the life of my still plenty good cpu cooler. Thanks in advance

im having some trouble setting up macros in the software for this keyboard, it wont let me set the alt key as a macro, well it will let me set it as a default macro setting up the keys i want them selves (in this case switch from 3-1 really fast for a quick awp switch in csgo) and it will net set them, i know im doing it right because i tried doing the same thing with the e key and it worked, is the alt key just not possible as a macro? cause it was on my old razer keyboard...

I own the Ttesports neros blu mouse. On the description page it states the mouse can be changed to 1200, 1600, 2400, and 3200 incremental dpi levels. However there is no software linked to the neros blu mouse page on the website and i cant find any information on changing the dpi, any help will be appreciated. Thanks

Hello, As a title I would like the software to open in the background (only on the taskbar) when start windows. This software is needed to manage the fans speed but I find invasive the window at every boot. Does anyone know how to do it? Thanks.

I cannot load old profiles from 1.0.1 version in 1.1.1 version. why? They loaded empty or not loaded.

A while ago I was using TT RGB Plus 1.3.1 or 3.2 (not sure which) with no problems. I then updated my motherboard bios. I am using the ASUS ROG Zenith Extreme(original). I believe I upgraded from BIOS ver 1701 to 2001. In the change log for the bios on ASUS's website it says ROG ZENITH EXTREME BIOS 1901 Improve hardware monitoring compatibility with 3rd party applications. Fixed a boot issue when using a Quadro K6000 GPU. " Before running the USB BIOS Flashback tool, please rename the BIOS file (ZE.CAP) using BIOSRenamer.'' Ver 2001 would have the same improvements + more. Ever since updating, every version of TT RGB Plus from 1.2.8 (64 bit update) onward i have been getting a 0°C reading on TT RGB plus on my Threadripper system. Version 1.2.7 still works for me and I have been using that since, hoping a future update would help. This bios update also changed my other system monitoring software, in particular interest HWINFO64, which I believe TT RGB Plus uses a plugin to get temps from. HWINFO64 continued to work, however the reporting of ASUS MB values had changed title to asus wmi, along with other changes, like readouts being renamed, e.g EXT Tsensor1 changed to Tsensor 1 Temperature. There may have been more changes, I don't know. Im guessing a name change or something similar is the problem. Today I tried TT RGB Plus 1.3.7 because something caught my eye 2.Fixed AMD CPU temperature issue. Something different has happened. I got a temperature other than 0°C. 😀The problem is it is the Tctl temp and not the tdie temp.🙁 Which of course means ttrgb thinks my cpu temp is 65°C instead of it's actual 40°C, so my fans are going close to full speed now. At least they are cooling the system, 0°C put them on idle🤔 I'll add a couple pictures which are hopefully straight forward, basically just diferent TT RGB versions and what the plugin is reading and what the program is reading on my PC. CPU is generally around 40°C idle. I do now believe this problem is fixable but possibly only through a software update. I'm basically reaching out to any TTstaff that could possibly help. I know that a bios downgrade might work, but the new versions do have a few QOL improvements eg. mem stability etc. so would prefer not to. If anyone else has any ideas as to what else could be the cause please let me know. I have been thinking this will probably never be fixed but this new update has given me hope. Any help from anyone would be much appreciated. Thanks😀 EDIT: Sorry just found this thread :

Hello community, This is my first post here. So please bear with me :) I bought the entire Argent series products and it seems to me that all the RGBs were running fine until I installed the latest version 1.5.1. I believe the latest version of the application has updated several firmware on several devices and after some time the application keeps on crashing intermittently. When that happen, some (and sometimes all) disconnect and reconnect again while the RGB are reset. TT Sync are also turned off for devices while previously it was set to "On". The application also crashes when I try to launch it the first time but often opens fine on the second time. Please advice. Thanks, fkhoda

Hello: To begin with, I am a noob at AIO cpu cooling. I have recently installed the Water 3.0 ARGB Sync TT Premium. I have iCUE installed and have worked with lighting. My question: What is required to monitor CPU Temps and RPM of pump? Motherboard: ROG Strix Z490-E, CPU: i9-10900K Chas

Let's focus why I can't download AOL desktop gold software Poor or unstable internet connection cause problem. Due to malware programs and virus in system. Incomplete download file Incompatibility between software and system Limited space in Computer system Clear cache, cookies and data from browser.

So i bought the TALON X mouse then downloaded the gaming software 3.0 but when i open the software it says "PLEASE CONNECT TO CORRECT USB DEVICE" i tried all my usb ports and still didn't work, restarted my pc, i re-downloaded the gaming software multiple times, please help because this been bugging me for the last hour

Hello everyone, I've just finished my latest project of fixing the old Thermaltake Riing RGB Fans, because I was quite unsatisfied with them out of the box, not remembering the color settings. So I have decided to create an software controlled solution for them using basic components, which were quite cheap. If you want to see how it looks, check out this Video, where I have started and stopped the controlling software, loading the settings from the config file: YouTube Video Note: I am not responsible for breaking any of your parts if you try to rebuild this neither for guranteeing its going to work. This is a quite uncomplete Guide at the Moment and will get expanded if there is an demand. To fix that I've got an GPIO Breakout by Adafruit for USB and attached the Riing RGB Controllers to it using the Extension Port using these JST Cables from Ebay. I was pretty quick at reverse engineering their protocol, which isn't more than applying voltage to trigger a button press, in the case the state LOW on the GPIOs. If you get the exact same cables, then the wiring is the following: White Wire - Mode Switch Red Wire - Start/Stop Switch Black Wire - Speed Switch Hooking them up to the GPIO Breakout is quite easy, but the C3 pin didnt work well for me on my 4th Controller, as it seemed to be LOW from the start. On the software side I have used the python libraries by Adafruit for making an simple wrapper for triggering the buttons by pin id. I have coded an NodeJS Service for controlling the Colors after that, which is quite basic at the moment and doesn't features an user interface yet. The settings are stored in a config file and loaded on boot and stored on shutdown/reboot. If you are interested in obtaining the software, feel free to drop me an PM and I will give you instructions on how to install it. spyfly

Where do I download the KNUCKER Elite software? Sorry for the noob question.

Hi I am new here. Using Windows 10 - all software updated. Have purchased 3x12inch and 3x14inch Riing Trio Rgb fans. I have two problems: 1. Upon installation the Tt RGB Plus software keeps throwing up a error message "warning controller 1", or "2" or "3". It does it intermittently. I have uninstalled usimg revo pro uninstaller and reinstalled, but same problem comes up. 2. The middle fan on both sets of fans does not show the right colours on the centre rgb ring (see photo). This happens on various software settings including 'static' and 'temp'. Given it is happening on one fan for both fans sets, it might be the software. Can anyone shed light on this? Cheers

Hi, Can anyone give me an idea why after I program my keys on the software I can't them to work? The software doesn't have any affect on my Keyboard. I hope I explained my issue well. Thanks.

Hey, I got the Floe Riing 360 Premium (Front,intk.) with 3 extra 120 Riing Plus fans (2x Top, 1x Back ,exh.) I daisychained them on 2 controllers: Radiator Fans in front are on controller 1 and my three exhausts and the pump are on controller 2. the system itself woks fine, but I got a slightly negative Airflow so I want my front fans to have a slightly stronger intake. Everytime i turn up the intake rpm and i save the settings it automatically applies to the fans on my second controller even without changing their profile. the settings i give my position 1 fan on controller 1 also applies to my position 1 fan on controller 2 Did i connect something wrong or is this software -related? it's the same with color schemes/settings, isn't it possible to customize every single fan? Thanks in Advance

Hey guys, I recently put together my Ryzen Threadripper build and i'm using the Gigabyte X399 Gaming 7 motherboard has stated in the title however, I can't get the software to launch on this platform. It's installed properly but when I go to launch it nothing happens. I've tried to run it without the fan hubs connected but it still won't work. Any ideas would be greatly appreciated or maybe its something that TT need to fix in the software....