GlazeGPT Unleashes a Data Revolution: No More Manual SQL Writing, Empowering Business Analysts Globally
📄Company ProfilesGlazeGPT is an innovative text-to-SQL AI tool designed to serve as a dedicated AI data analyst for companies dealing with complex databases. Founded by Karan Doshi and Atishay Jain, GlazeGPT operates with a mission to simplify and democratise data analysis, making it accessible to businesses of all sizes.
GlazeGPT's revenue model is based on a subscription fee, and the company employs a three-fold strategy for customer acquisition and retention, focusing on trust, value, and engagement.
In terms of recognition, GlazeGPT has achieved a notable milestone by outshining competitors in the MIT SQL generation benchmark test with an accuracy rate of 97.04%.
In this article, let's delve into the realm of GlazeGPT—its founders, business and revenue model, funding, marketing strategy, and more.
Scalefusion - Company Highlights
STARTUP NAME | GlazeGPT | |||
---|---|---|---|---|
Headquarters | Bangalore, Karnataka, India | |||
Sector | Artificial Intelligence | |||
Founder | Karan Doshi and Atishay Jain | |||
Founded | 2014 | |||
Website | glazegpt.com |
GlazeGPT - About
GlazeGPT - Industry
GlazeGPT - Founders and Team
GlazeGPT - Startup Story
GlazeGPT - Vision and Mission
GlazeGpt - Name and Logo
GlazeGPT - Product/Services
GlazeGPT - Business and Revenue Model
GlazeGPT - Launching Company Strategies
GlazeGPT - Customer Growth and Retention Strategies
GlazeGPT - Challenges Faced
GlazeGPT - Growth
GlazeGPT - Marketing Strategy
GlazeGPT - Recognition and Achievements
GlazeGPT - Funding
GlazeGPT - Key Tools and Software
GlazeGPT - Competitors
GlazeGPT - Future Plans
GlazeGPT - About
GlazeGPT, a cutting-edge text-to-SQL AI tool, serves as a dedicated AI data analyst for companies grappling with complex databases. Operating 24/7, GlazeGPT streamlines data tasks, providing unparalleled efficiency gains for smaller logistics, fintech, and retail businesses. By integrating GlazeGPT, these companies can elevate their operations, achieving over 30% efficiency improvements and substantial cost savings.
GlazeGPT - Industry
GlazeGPT is a versatile tool with applications across diverse industries, including fintech, edtech, logistics, healthcare, retail, and beyond. The tool's adaptability is a key focus, with an ongoing commitment to exploring new industries for potential integration.
Founders Karan Doshi and Atishay Jain are not only passionate but also optimistic about AI's role in India's thriving tech ecosystem. The ecosystem, valued at $680 million in 2022, is anticipated to skyrocket to $3.9 billion by 2028, boasting a remarkable CAGR of 33.28%. They firmly believe that AI stands as a potent and transformative force capable of addressing myriad challenges in India while unlocking fresh opportunities for economic and social development.
Proud contributors to India's burgeoning AI community, the founders draw inspiration from the successes of global AI entities like Open AI, Anthropic, and more. Their vision encompasses a luminous future for AI in India, where the technology enhances the quality of life for millions and contributes significantly to global AI knowledge and applications. GlazeGPT, they envision, will play a pivotal role in this future by simplifying and democratizing data analysis through its AI-driven capabilities, making it accessible to all.
GlazeGPT - Founders and Team
Led by Karan Doshi, an IIT BHU graduate and data innovation pioneer, GlazeGPT is backed by the expertise of Atishay Jain, a data engineering specialist with a Goldman Sachs background. Atishay's knack for NLP and AI, combined with his ETL company experience, forms the technological backbone of GlazeGPT.
According to Atishay, the future of data-driven businesses hinges on rapid data dissemination for agile decision-making, aiming to combat corporate inertia. This aligns with a Gartner report suggesting potential savings of $379 billion through full-scale real-time data analytics implementation, a goal often unmet by 70% of surveyed companies.
Presently, GlazeGPT operates as a nimble team of fewer than 10 professionals in Bangalore. Their hiring philosophy values passion, creativity, and adaptability to industry shifts. GlazeGPT work culture is a blend of respect, trust, and integrity, empowering employees to take ownership of their growth both professionally and personally. It fosters continuous learning, feedback and improvement, creating an environment where innovation, collaboration, and customer satisfaction thrive.
GlazeGPT - Startup Story
Prompted by the question, "Can decision-makers afford to wait for insights?" GlazeGPT's founders found inspiration for their venture.
Karan, CEO and IIT-BHU alum, observed the struggles of non-technical managers in obtaining real-time data during his tenure as a young product manager at Flipkart. Leveraging his expertise in data product development and leading machine learning growth hack teams, coupled with the rise of LLMs, Karan seized the opportunity to create GlazeGPT.
Citing the State of AI in India 2022 report, revealing a USD 12.3 billion AI-generated revenue with a projected 42% CAGR, the founders envision GlazeGPT as a key player in democratizing data analysis, making it easy and accessible for everyone through its AI data analyst.
GlazeGPT - Vision and Mission
Vision: In the short term, GlazeGPT aims to be the go-to data analyst copilot for mid-to-large companies globally, spanning diverse industries such as edtech, healthcare, and agriculture. The company plans to fortify their research capabilities by expanding its team with experts from renowned institutions like Microsoft LLMs, Amazon AI labs, and the Allen Institute of AI. Simultaneously, GlazeGPT will enhance its product features for enterprise deployment, with a focus on optimizing the research review phase to deliver significant cost savings.
Long-term aspirations involve positioning GlazeGPT as the undisputed global leader in AI-driven data analytics.
The Mission: In a data-rich yet insight-poor corporate landscape, GlazeGPT is on a mission to empower rapid comprehension of vast datasets. Traditional analytics tools prove overly intricate for non-technical team members, leading to inefficiencies. Referencing a study by InfoWorld, which highlights that data scientists spend only 20% of their time on actual analysis, GlazeGPT aims to revolutionize this paradigm. The cutting-edge text-to-SQL AI tool liberates data analysts from mundane SQL tasks, allowing them to focus on high-level analysis and significantly boosting overall productivity.
GlazeGpt - Name and Logo
GlazeGPT came from the idea that Founders wanted all companies, regardless of their size or technical expertise. Companies should have a better AI analyst than ChatGPT, which is only 55% accurate. That’s why the name GlazeGPT.
GlazeGPT - Product/Services
In a data-rich era, GlazeGPT addresses the challenge of complexity in traditional analytics tools, particularly for non-technical users. With only 15% of executives possessing both industry knowledge and programming skills, as per Harvard Business Review, GlazeGPT steps in.
GlazeGPT tool enables effortless English-based database queries, reducing the risk associated with deploying intricate tools to non-technical users. Powered by advanced LLMs and proprietary models, GlazeGPT introduces industry-first features for enhanced database understanding.
- Beyond simplicity, GlazeGPT is a robust enterprise analytics solution, offering:
- Code-free automated alerts for vital KPIs.
- Swift integration with 30+ database systems and data warehouses in just 30 minutes.
- Ensured 100% data privacy through docker image integration in private cloud environments.
- Cutting-edge AI that rapidly catalogues databases, setting a new efficiency standard.
GlazeGPT - Business and Revenue Model
GlazeGPT’s revenue model is based on a subscription fee that varies depending on the number of users, the amount of data, and the frequency of queries. They charge a monthly or annual fee for each user who wants to access their AI data analyst service. They also offer a 1-month free trial period for new customers who want to test their product before committing.
GlazeGPT - Launching Company Strategies
Both founders, coming from global companies like Goldman Sachs and Flipkart, tapped into their networks to secure initial customers. Research advisors from Microsoft, Amazon, and the Allen Institute of AI further bolstered early adoption. GlazeGPT's Twitter and LinkedIn demos went viral, amassing over half a million views and generating a significant waiting list with demand surpassing capacity.
GlazeGPT - Customer Growth and Retention Strategies
GlazeGPT employs a three-fold strategy for customer acquisition and retention centred on trust, value, and engagement.
Trust: Understanding the sensitivity of customer data, GlazeGPT prioritizes privacy and security. State-of-the-art encryption, authentication methods, and private cloud hosting ensure data protection and regulatory compliance. Transparent communication, receptiveness to feedback, and addressing customer concerns further build trust.
Value: The focus is on delivering the best data analysis solution in the market. GlazeGPT provides accurate, fast, and easy insights in natural language, eliminating the need for SQL knowledge. Customers benefit from time and cost savings, improved decision-making, and actionable insights.
Engagement: Creating long-term relationships involves a 1-month free trial, personalized onboarding, and training. Regular product updates align with customer needs, and engagement channels like email, social media, and webinars keep customers informed and involved.
Marketing Strategy: A multi-pronged marketing approach includes paid ads, organic posts, content marketing, and influencer marketing to reach a global audience.
Viral Marketing Campaign: A recent LinkedIn post revealing accuracy test results went viral with over 70 reposts, 350 likes, and 50 comments.
GlazeGPT - Challenges Faced
Challenge: Many solutions, while effective on open-source databases, struggled with real-world databases due to poorly named tables and ambiguous column names, impacting their performance. No LLM could decipher the meaning behind such columns, affecting accuracy.
Solution: The solution involved a multifaceted approach, incorporating cataloguing, fine-tuning, LLM call chaining, proprietary algorithms, and embedding techniques. Recognizing that efficiency is crucial for business users, GlazeGPT responded to over 80% of queries in under 15 seconds, outperforming many solutions that faced delays.
Addressing Accuracy Challenges:
- Understanding User Knowledge Gap: Recognizing that business users might lack database expertise, GlazeGPT tackled questions that the data couldn't inherently answer.
- Handling Ambiguity: Resolving ambiguous questions, such as those lacking clear definitions like "Which regions are performing well?", required precision.
- Prompt Results: Efficiency was a key focus, ensuring users received answers within seconds, eliminating prolonged wait times.
Outcome: GlazeGPT achieved an impressive 97.04% accuracy in generating correct and acceptable SQL queries out of 406 questions. For context, contemporary solutions struggle to reach a 55% accuracy rate, while human accuracy hovers around 92%. This multi-faceted strategy catapulted GlazeGPT to a new level of accuracy and efficiency in real-world database interactions.
GlazeGPT - Growth
As of today, GlazeGPT is headquartered in Bangalore, and while the Company do not disclose financial details publicly, GlazeGPT is thriving in various aspects.
Partnerships: GlazeGPT journey is enriched by collaboration and support from esteemed partners, including Xpressbees, manafa | منافع, and TreeDots. Their contributions range from providing valuable feedback, data, and use cases to integrating AI data analysis into their platforms like Slack, WhatsApp, and Google Chat, enhancing accessibility and analysis of data. They've played a pivotal role in its pursuit of achieving state-of-the-art accuracy on the MIT BIRD benchmark.
Client Trust: Executives from renowned global brands such as Comcast, Nykaa, Zenklub, and more trust GlazeGPT for their data analytics needs. This trust extends across diverse sectors, including logistics, healthcare, technology, and nutrition, showcasing its broad and impactful reach.
Market Awareness: GlazeGPT partners actively promote GlazeGPT to its customers and networks, contributing to increased brand awareness and reputation in the market. This collaborative approach aligns with its commitment to continuous improvement and innovation.
GlazeGPT - Marketing Strategy
Their standout marketing success followed the announcement of GlazeGPT's accuracy score on MIT's benchmarking test. A blend of influencer marketing, organic reposting, email campaigns, and content dissemination catapulted its achievement.
In a short period, the post gained traction with 70 reposts, 350 likes, and 50 comments, engaging prominent figures in the AI space. This success spurred interest from decision-makers globally, seeking to integrate GlazeGPT into their workflows. The campaign's impact was further amplified by major voices in the AI sector reposting their achievement.
GlazeGPT - Recognition and Achievements
GlazeGPT's pinnacle achievement is its exceptional performance in the MIT SQL generation benchmark test, outshining Open AI and Google with an impressive 97.04% accuracy. This success, attributed to its proprietary deep tech platform, garnered widespread acclaim from industry leaders and influencers. The achievement is grounded in four non-negotiable principles: compatibility with messy databases, high accuracy rates, understanding internal metrics, and developer independence.
GlazeGPT - Funding
GlazeGPT, based in Bangalore, proudly operates as a bootstrapped company, having not sought external funding. The company's growth and product development are sustained by revenue from customers and partners. This self-sustaining and profitable model aligns with GlazeGPT's commitment to data democratization and AI innovation.
Collaborations with leading companies in logistics, fintech, and food tech, such as XpressBees, Manafa | منافع, and TreeDots, have been instrumental. Their valuable feedback, data, and use cases contributed to product improvement and achieving state-of-the-art accuracy on the MIT BIRD benchmark. GlazeGPT expresses gratitude for the trust and support of these companies in realizing its vision.
GlazeGPT - Key Tools and Software
GlazeGPT use tools and software such as Apollo, Hubspot, AWS, etc
GlazeGPT - Competitors
Some of their top competitors include:
- Defog.ai
- LogicLoop
- Locale.ai
- Snowflake
Here are a few comparisons with some competitors:
Defog.ai: Defog.ai has a non-trivial setup, requiring some tech capabilities from companies whereas GlazeGPT has a quick hassle-free setup without much technical knowledge.
Locale.ai: With Locale.ai, the AI-> SQL functionality is not top of mind with the software built and targeted primarily towards ops teams. It also can't converse with the software directly, non-trivial to set up automated alerts for mission-critical KPIs.
GlazeGPT - Future Plans
GlazeGPT aims to revolutionize the traditional process of extracting insights from company data, eliminating the need for manual SQL writing. In a future propelled by GlazeGPT, companies worldwide won't have to engage in the complex task of writing SQL anymore. Leveraging its technology, they plan to free up valuable time for professionals, particularly the millions of Business and Senior Business Analysts, who currently spend 20-50% of their time on mundane SQL queries. Their vision is to usher in a more efficient and dynamic era for businesses globally.
FAQs
Who are the founders of GlazeGPT?
Karan Doshi and Atishay Jain are the co-founders of GlazeGPT.
What industries does GlazeGPT cater to?
GlazeGPT is versatile and applicable across diverse industries, including fintech, edtech, logistics, healthcare, and retail.
What is GlazeGPT vision for the future of data analysis?
GlazeGPT aims to be the go-to data analyst copilot for mid-to-large companies globally, spanning diverse industries such as edtech, healthcare, and agriculture.
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