MavenMagnet Insights Assistant is a revolutionary AI-powered SaaS platform that is disrupting the traditional decision-making process by extracting actionable insights from a unified digital landscape in 1/3 cost and 15x faster than any other solution available in the market.
Milestones: Within 8 months of the launch, we secured seven annual contracts worth over $1M.
Looking Ahead: We are confident in our trajectory. By renewing existing contracts and adding new ones, we aim to secure 30 annual contracts by the end of June 2024. Revolutionary AI-powered SaaS platform disrupting the business decision-making process by leveraging the unified digital platform to deliver actionable insights in 1/3 the cost and 15x faster than any other solution that exists in the market today.
Startup Description
Businesses are struggling to make informed decisions due to unavailability of timely actionable insights.
MavenMagnet Insights Assistant is a revolutionary AI-powered SaaS Platform that is disrupting the business decision-making process.
Our solution is designed to generate insights 15 times faster and at a third the cost than any other option that is available in the market. With our solution, you can gain valuable insights in real-time, without having to wait for long processing times.
We have customized, trained, and fine-tuned best-in-class ML models on 103 product categories using more than 4.3TB of data. Additionally, our generative AI provides an interactive platform for clients to ask questions to the Insights Assistant and get real-time insights.
With our innovative insights mining framework, we are making a monumental shift in the way data analysis is approached. We are revolutionizing data interpretation by providing laser-focused actionability. Insight Assistant excels where all other tools fall short - the last mile of data science of converting data into actionability.
Our data mining infrastructure is reinventing data aggregation to provide the most extensive coverage. It covers unlimited data sources, including active, passive, and client’s first-party data in all formats
Product Screenshots
Business Model
Market Size:
TAM (Total Addressable Market): $83.9B in 2023, projected to grow to $95.5B by 2027.
SAM (Serviceable Addressable Market): $20.9B
SOM (Serviceable Obtainable Market): $692M
Revenue Model:
We operate on a subscription model – Annual or Multi-year (3 to 5 years) Global Contracts.
Follow a feature-based pricing approach, offering scale discounts for larger contracts
The base price for an annual subscription is $60,000 per brand per market
The company maintains a healthy gross profit margin of 85%
The projected customer retention rate is 75%
The Net Revenue Retention (NRR) is an impressive 130%.
In summary, MavenMagnet targets a significant market opportunity, generates revenue through subscriptions and contracts, and maintains strong profitability. Our focus on customer retention and strategic pricing has been driving our growth and success.
Customers
based in
India, North America
Business
Modal Type
SaaS
Type of
Sales
B2B
Competitors
Direct Competitors: Sprinklr, Brandwatch, Synthesio
Indirect Competitors:
a) Traditional Market Research Agencies like Kantar and Nielsen
b) Social Listening Tools: Hootsuite, SproutSocial
Teams
Aditya Ghuwalewala
Founder and CEO
Ritu Ghuwalewala
Founder and COO
Tell us a bit about how founding team knows
each other.
Ritu and Aditya are siblings. Both Ritu and Aditya have a shared passion for entrepreneurship and innovation. This common interest drives their desire to create something impactful together. Not only that, they complement each other well. While Aditya brings technical expertise to the table, Ritu’s experience adds a marketing insights dimension to their team. Their collaboration brings together the best of both worlds: technology and marketing.
Why did you decide to start this
company?
Aditya and Ritu founded MavenMagnet with the mission to transform insights generation and extract actionable intelligence from a unified digital landscape.
Are all the founders full-time on this
project?
Yes
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