The Good Tech Companies - Enterprise Research is Broken—Here’s How AI is Fixing It

Episode Date: March 31, 2025

This story was originally published on HackerNoon at: https://hackernoon.com/enterprise-research-is-brokenheres-how-ai-is-fixing-it. Steve AI automates enterprise research, delivering real-time market insights and competitor tracking to help businesses make faster, data-driven decisions. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #enterprise-ai, #steve-ai, #enterprise-research-automation, #competitor-tracking-ai, #predictive-analytics, #ai-for-market-research, #competitive-intelligence, #good-company, and more. This story was written by: @veronikafurs. Learn more about this writer by checking @veronikafurs's about page, and for more stories, please visit hackernoon.com. Steve AI revolutionizes enterprise research by automating data collection, analysis, and reporting. It delivers real-time competitor insights, saves time, reduces costs, and enhances decision-making with AI-powered intelligence—giving businesses a strategic edge.

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. Enterprise research is broken. Here's how I is fixing it, by Veronica Furs. What if the research guiding your biggest decisions was flawed, outdated, incomplete, or biased? In today's fast-moving world, enterprises rely on market insights, track competitors' websites, and forecast trends to stay ahead. But traditional research methods are slow, manual, and riddled with inefficiencies, leading to missed opportunities, costly mistakes, and reactive decision-making. Takahiro Morinaga and Gagandeep Tomar built Steve AI to eliminate these bottlenecks. Instead of spending days compiling data, enterprises can now get real-time insights in minutes,

allowing them to move faster, outthink competitors, and make smarter business decisions. So, why is Steve changing the game for enterprise research? Let's break it down. Meet the minds behind Steve AI. Tomar Takahiro Morinaga built his career by solving inefficiencies with data and turning complex challenges into streamlined solutions. After earning a degree in commerce from Waseda University, he pursued further studies in international business in Seattle, gaining a global perspective on market dynamics.

His career took off at Amazon Japan, where he worked as a brand specialist, helping global brands break into a highly competitive market. He played a key role in product positioning, pricing strategies, and demand forecasting, ensuring brands could successfully scale in Japan. He led one of Amazon Japan's most significant product launches in the toy category, the Demon Slayer Limited Edition line, one of the top-selling SKUs in the toy category. Managing end-to-end execution, he navigated supply chain logistics, marketing rollouts, and customer demand spikes, contributing to its record-breaking success. Recognizing

that enterprises were still relying on slow, outdated research methods, Morinaga saw AI as the missing link. He later co-founded Trasino Inc., where he now leads the strategic vision behind Steve, shaping the future of enterprise research with real-time, AI-driven insights. Gagundip Tomar is an AI and automation specialist with extensive experience in machine learning, business intelligence, and data analytics. After graduating from IIT Mandi with a degree in computer science, he worked at Apple and MoneyForward, where he developed iP-powered automation tools for enterprise applications. At MoneyForward, Tomar led AI initiatives that automated data queries with an accuracy rate of 99.57%, won multiple AI innovation competitions, including the Tech

Buildathon 2024 and AI Hackathon 2023. As co-founder and CTO of Trasino Inc., he designed Steve AI's advanced AI-driven research capabilities, making it one of the most potent research automation tools in the market today. What is Steve? Steve automates data collection, analysis, and reporting for businesses. Instead of manually compiling industry reports, competitor data, and market insights, companies can use Steve to track competitors' websites in real-time, analyze, and summarize information instantly. Key Capabilities of Steve I-1 Competitive intelligence on autopilot

Steve tracks competitors' websites in real-time, providing automatic updates on product launches, pricing changes, marketing strategies, industry positioning. Instead of manually sifting through reports, Steve provides instant, eye-generated competitor analysis, allowing businesses to adjust strategies faster than ever before. 2. AI-powered competitive research. Traditional market research is slow and resource-intensive. Steve automates the process, scanning vast data sources to track competitors' websites in real-time, providing instant updates on product launches, pricing changes, and other key actions. Monitor key competitor activities across websites to help businesses stay ahead of the curve, responding faster to market shifts. Applies natural language processing, NLP, to analyze large datasets, extracting actionable insights from

complex information. Steve tracks competitors' websites in real-time and notifies users of key updates automatically, ensuring businesses are always equipped with the latest competitive insights. Instead of spending days on research, companies can focus on making informed decisions faster than ever. Why Steve is transforming enterprise research? Traditional research is slow, expensive, and outdated before it's even helpful. Steve changes that by delivering real-time, AI-powered insights. Key benefits. Time savings. Research that used to take weeks now takes minutes. Real-time insights. Businesses get the

latest information as it happens. Cost reduction, eliminates the need for extensive research teams. Actionable intelligence, provides precise, AI-driven recommendations. Scalability, works for startups, enterprises, and everything in between. Steve is a necessity for companies relying on data to drive strategy, not illuxury. The role of Morinaga and Tomar in Steve's success, the expertise and vision of its founders, Takahiro Morinaga and Gagandeep Tomar, drive Steve's success. With his business strategy background, Morinaga ensured that the platform effectively addresses the most pressing challenges in enterprise research, making data-driven

decision-making more efficient. On the technical front, Tomar developed the AI architecture that powers Steve, enabling it to analyze, summarize, and generate research insights at scale. Their combined expertise in AI, automation, and business intelligence has resulted in a tool that is redefining how enterprises conduct research and strategic planning. What's next for Steve? The future of AI-ed business research is just beginning and Steve AI is at the forefront of this transformation. Newly launched features and expansion

automated battle card updates for sales winning. Steve will integrate more deeply with enterprise business tools, CRM, bi-platforms, et cetera. Centralized knowledge base of competitors. With AI-driven decision-making becoming the norm, Steve is positioning itself as the go-to AI assistant for enterprises worldwide. Why enterprises need Steve now? Enterprise research is slow, costly, and often outdated before it can be acted upon.

Businesses struggling to stay ahead of competitors, track market trends, and make data-driven decisions face an overwhelming challenge. Too much data and too little time. Steve eliminates these inefficiencies by automating research, analyzing vast amounts of information, and delivering real-time insights that drive faster, more intelligent decision-making. With the power of eye-driven market research, competitive intelligence, and predictive analytics, companies can replace outdated research methods with real-time, AI-powered intelligence, freeing up resources, reducing costs, and gaining a strategic edge in an increasingly competitive world.

Steve isn't an upgrade, it's the future of business research, empowering businesses to track competitors' websites and gain real-time insights that enable faster decision-making. Thank you for listening to this Hacker Noon story, read by Artificial Intelligence. Visit HackerNoon.com to read, write, learn and publish.