Sei AI

Sei helps customers find regulatory violations in text and images. Oh and look at how the model catches issues in Spanish as well!! #artificialintelligence #ai #compliance #consumerprotection

AtoB solves payments for the trucking industry - which means their customers are rarely in one place. So when it comes to customer service - every minute counts. If there was ever a use-case waiting to be solved with our AI products - this is it! Here’s Tushar Misra - co-founder of AtoB - talking about how Sei AI helps them provide seamless, on-the-go customer service.

Aspire was one of Sei AI's first clients - and it was a great experience to learn from and work with Rahul Rajpal and his team to address CX pain points with AI that genuinely makes a difference. Not just for customer support - but also product, engineering and operations as well! Here's Rahul talking a bit about us in his own (kind) words. PS: this is our first customer story video - appreciate any and all feedback to make it better :)

Most CX vendors are selling their AI platforms as if it's the pre-LLM era. You build a generic platform and force every customer to be pigeonholed into your way of things. But at Sei AI, we designed our platform from a few first principles - context and customizability. 1. We understand every customer's context thoroughly, the top things that move the needle, their pain points, scorecards, knowledgebase, risk tolerance, interpretations of regulations, etc. We take them all in and build custom policies that the AI can work off of. 2. We don't force our customers to change their processes and the way they currently function. We have built a product that works for them and them only. On day 1, we realized that our entire architecture needs to be modular with the ability to do what we call "extreme customization". So when they see our product in action - they don't even realize they are looking at a generic platform, but a product that is custom-built for them. In case, you are wondering, we onboard customers in 2-3 weeks - this is possible because we made these design choices before we even built the platform! If you want to explore how AI should transform CX, happy to show a personalized demo!

Please join us in welcoming Mortgage Bankers Association newest Premier Associate Members – Pranay Shetty and Ramkumar Venkataraman with Sei Software Technologies! ? Let’s give them a warm welcome! Hit like to celebrate this milestone, leave a comment to say hello, and reshare to help spread the news! ?? ? Not a member of MBA and want to learn more? Send me a DM! ?? I look forward to the opportunity to connect with you and discuss how MBA can help support the growth of your business!? ? #WelcomeNewMember #PremierMember #MBAMembershipMatters

?? Introducing AI Voice Agents for Financial Institutions! AI-powered voice agents have evolved tremendously over the last six months. At Sei AI - we believe they’re set to transform customer support. Unlike chat, voice interactions feel natural—capturing tone, emotion, and intent effortlessly. Customer support has gone through phases: ? In the late ‘90s and 2000s, outsourcing enabled 24/7 assistance at scale. ? For the last 10 years, AI-powered Chatbots made issue resolution faster and more efficient. ? Now, the final frontier—human-like voice interactions—is here. And the most obvious use case to start with? Automating repetitive, SOP-driven workflows. You don’t need a human to do mundane things like verification, payment reminders, process due date changes, etc. That being said - AI voice agents must meet the highest compliance standards - and that’s where Sei AI stands out. Our AI Voice Agents can be seamlessly trained on company policies, ensuring they reflect your brand’s unique tone while maintaining strict regulatory compliance. They can also perform RCAs, summarize calls, tag tickets, and more. We're already working with enterprises across the US, Europe & APAC. If you're in the finance industry and looking to elevate customer experience, Sei’s AI Voice Agents are built for you. Feel free to DM me to learn more!

70% of financial services executives believe that AI will directly tie to revenue growth in upcoming years - according to a new report on ???????????????????? ???????????????????????? ???? ?????????????????? ???????????????? by the World Economic Forum . ???????? ?????? ?? ?????? ?????????? ?????? ?????????????????? ???????? ?????? ????????????: 1. Financial services firms spent a significant $35 billion on AI in 2023, with projected investments across banking, insurance, capital markets and payments expected to reach $97 billion by 2027 ?? 2. 90% of leaders believe their organization needs to consider significant adjustments or total transformation of their reskilling strategy to support the future ??? 3. 84% of financial organizations are implementing or planning a framework to govern how AI will?be?built, trained, used and audited ???? 4. The most probable use cases include a.) sales and service in the ?? Banking industry b.) fraud management and detection in ??? Payments and c.) claims and customer document processing in ??? Insurance Link to the entire report in the comments. Infographic below from the report. Follow Sei AI for the latest in Finance x AI.

Not a lot of people are talking about DeepSeek-R1's ability to distill smaller models for custom use cases. At Sei AI, customizability is the core tenet. Whether it’s policies, reporting, or UI - our platform is built to adapt to each customer’s needs with unique features and usability. No two customers of ours have the `same` product experience. With R1 enabling cheaper, better reasoning and RL-only training (bypassing the costly SFT), we can go one level deeper - distill smaller models tailored to each customer. Heck, to each of their specific use cases. This not only cuts costs but also provides o-1 level reasoning and accuracy. The floodgates are truly open - open-source FTW!

OpenAI launching Operator is just the beginning of the AI Agent wars. Expect every major AI player to launch their own browser-based agents over the next 6 months. There's a joke that the biggest competitor for startups creating wrappers around LLMs are the LLMs themselves - and it feels more true with every new release. That being said - the value AI unlocks is directly related to how well it understands the specific needs, policies and nuances of the business that is using it. For eg - OpenAI is working with Doordash, Instacart and Etsy to incorporate Operator to test certain use cases. But I doubt any LLM could address the industry-specific problems that millions of businesses face. In my opinion - the field is still pretty open for startups that are going narrow and deep.