Scientific Financial Systems

Try out the Quotient Native App on Snowflake Marketplace with built in U.S. Equity Fundamentals and Pricing Data!

Start your 30-day free trial now at https://bit.ly/3E957KZ

𝐐𝐮𝐨𝐭𝐢𝐞𝐧𝐭 𝐢𝐬 𝐧𝐨𝐰 𝐥𝐢𝐯𝐞 𝐨𝐧 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 𝐌𝐚𝐫𝐤𝐞𝐭𝐩𝐥𝐚𝐜𝐞 𝐰𝐢𝐭𝐡 𝐋𝐒𝐄𝐆 𝐝𝐚𝐭𝐚

Our 𝐐𝐮𝐨𝐭𝐢𝐞𝐧𝐭 analytics toolkit is now available on the Snowflake 𝐌𝐚𝐫𝐤𝐞𝐭𝐩𝐥𝐚𝐜𝐞 𝐚𝐬 𝐚 𝐍𝐚𝐭𝐢𝐯𝐞 𝐀𝐩𝐩! Get all of Quotient’s features, including our Backtester, Forecaster, and Visualization tools, with the added security of having your data and compute all in one place. With this new architecture, you get:
✅ 𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞
✅ 𝐀𝐝𝐝𝐞𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞
✅ 𝐄𝐯𝐞𝐧 𝐅𝐚𝐬𝐭𝐞𝐫 𝐈𝐧𝐬𝐭𝐚𝐥𝐥𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭

Access 𝐋𝐨𝐧𝐝𝐨𝐧 𝐒𝐭𝐨𝐜𝐤 𝐄𝐱𝐜𝐡𝐚𝐧𝐠𝐞 𝐆𝐫𝐨𝐮𝐩'𝐬 (𝐋𝐒𝐄𝐆) 𝐐𝐮𝐚𝐧𝐭𝐢𝐭𝐚𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 database with your licensed data share that integrates with Quotient.

𝐆𝐞𝐭 𝐬𝐭𝐚𝐫𝐭𝐞𝐝 𝐧𝐨𝐰 𝐰𝐢𝐭𝐡 𝐚 𝟑𝟎-𝐝𝐚𝐲 𝐟𝐫𝐞𝐞 𝐭𝐫𝐢𝐚𝐥 𝐨𝐟 𝐐𝐮𝐨𝐭𝐢𝐞𝐧𝐭
at https://bit.ly/3E957KZ

Learn how you can get to alpha faster with tools created by leading Quantitative Analysts and Data Scientists from SFS.

Struggling to get the most use out of your data? 𝐒𝐞𝐞 𝐟𝐚𝐫𝐭𝐡𝐞𝐫 𝐟𝐚𝐬𝐭𝐞𝐫 with Quotient data science analytics.

𝐖𝐢𝐭𝐡 𝐚 𝐐𝐮𝐨𝐭𝐢𝐞𝐧𝐭 𝐥𝐢𝐜𝐞𝐧𝐬𝐞, 𝐲𝐨𝐮 𝐫𝐞𝐜𝐞𝐢𝐯𝐞:
✅ Factor Library of 300 pre-built Factors
✅ Factor Builder
✅ Multi-Factor Modeler
✅ Backtester
✅ Screener
✅ Data Mapper
✅ Forecaster
✅ Report Builder
✅ Event Study

𝐃𝐚𝐭𝐚:
We are now offering a 30-day free trial of Quotient with a choice of 𝐋𝐒𝐄𝐆'𝐬 𝐐𝐮𝐚𝐧𝐭𝐢𝐭𝐚𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 over Snowflake for Fundamentals, Estimates, and Pricing for US and Global equities data and US Equities Pricing and Fundamentals with Intrinio data sets.

𝐓𝐰𝐨 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭 𝐨𝐩𝐭𝐢𝐨𝐧𝐬:
🎯 Quotient Native App on Snowflake or 🎯 Quotient SaaS version

We are here to help with training and set up needs.

Would you to set up a call to learn more? Contact us now! Visit our website at www.scifinsys.com

𝐀𝐬 𝐚 𝐁𝟐𝐁 𝐟𝐢𝐧𝐭𝐞𝐜𝐡 𝐬𝐭𝐚𝐫𝐭𝐮𝐩, we closely monitor funding trends in order to plan our capital raises and drive growth. Through the Harvard Innovation Labs 𝐀𝐥𝐮𝐦𝐧𝐢 𝐋𝐋𝐗 𝐆𝐞𝐨 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐨𝐫 𝐩𝐫𝐨𝐠𝐫𝐚𝐦, we gain invaluable insights from peers and mentors, equipping us with tools to navigate today’s competitive fundraising landscape.

We are currently seeing a shift in fundraising targets:
𝐒𝐞𝐞𝐝 𝐒𝐭𝐚𝐠𝐞 𝐀𝐑𝐑 𝐓𝐚𝐫𝐠𝐞𝐭𝐬
✅ Previously: Seed rounds were often raised with minimal ARR, frequently below $250,000.
✅ Now: Startups typically require $250,000–$1 million ARR to secure $3 million or more.
✅ Key Shift: Investors now demand proof of early traction and validated product-market fit, emphasizing revenue growth and scalability.

𝐒𝐞𝐫𝐢𝐞𝐬 𝐀 𝐀𝐑𝐑 𝐓𝐚𝐫𝐠𝐞𝐭𝐬
✅ Previously: Startups with under $1 million ARR often raised Series A rounds.
✅ Now: A minimum of $1.5 million ARR, coupled with 100%+ YoY growth, is the new standard.
✅ Key Shift: Series A investors prioritize scalable, repeatable revenue models and strong metrics like customer retention and unit economics.

𝐑𝐞𝐚𝐬𝐨𝐧𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐒𝐡𝐢𝐟𝐭
✅ Investor Expectations: The rise of AI and other efficiencies has
enabled startups to do more with less, so investors expect higher
performance with fewer resources.
✅ Market Maturity: Increasing competition in the startup ecosystem has raised the bar for funding readiness.
✅ Exit Pressures: Investors seek larger returns and more substantial businesses that can scale quickly post-investment.

These changes highlight the need for startups to demonstrate clear revenue growth, customer traction, and operational efficiency to secure funding in today’s market.

Given revenue benchmarks have risen for Seed and Series A rounds, early-stage startups are seeking these key funding sources to bridge gaps and grow:
✅ 𝐆𝐫𝐚𝐧𝐭𝐬 𝐚𝐧𝐝 𝐂𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐨𝐧𝐬: Programs like SBIR/STTR fund research-driven projects without repayment.
✅ 𝐏𝐫𝐞-𝐒𝐞𝐞𝐝 𝐚𝐧𝐝 𝐀𝐧𝐠𝐞𝐥 𝐈𝐧𝐯𝐞𝐬𝐭𝐨𝐫𝐬: Focused on vision and team, not ARR.
✅ 𝐑𝐞𝐯𝐞𝐧𝐮𝐞-𝐁𝐚𝐬𝐞𝐝 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐧𝐠 (𝐑𝐁𝐅): Platforms like CapChase offer revenue-tied funding without equity loss.
✅ 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐨𝐫𝐬: Programs like Y Combinator and Plug and Play provide funding, mentorship, and networking.
✅ 𝐂𝐫𝐨𝐰𝐝𝐟𝐮𝐧𝐝𝐢𝐧𝐠: Platforms like Kickstarter support pre-sales-based fundraising.
✅ 𝐋𝐨𝐚𝐧𝐬: Platforms like Kiva provide small loans for working capital.
✅ 𝐁𝐨𝐨𝐭𝐬𝐭𝐫𝐚𝐩𝐩𝐢𝐧𝐠: Pre-sales or advance payments fund development while maintaining control.

By leveraging these options, startups can secure resources, scale sustainably, and prepare for future funding rounds.

🎉 We're thrilled to announce that SFS has been selected for the Harvard Innovation Labs LLX GEO Accelerator! 🚀

Being part of this prestigious program means we'll be connecting with amazing innovators and learning from the best in FinTech. 🧠 This incredible opportunity will help us enhance Quotient and deliver even more value to our customers. 📈

Huge thanks to the Harvard Innovation Labs team! 🙏 We're excited for the journey ahead and can't wait to see where it leads us. ✨

Read more here: https://bit.ly/3BZf10M

Harvard Innovation Labs on LinkedIn: Harvard Innovation Labs is proud to introduce the 2024-2025 cohort of… Harvard Innovation Labs is proud to introduce the 2024-2025 cohort of Launch Lab X (formerly known as LLX GEO)! From a pool of over 200 applications, 19…

What an incredible experience it was to be a part of the Snowflake Start Up event at the historic NYSE! We're honored to have been named a top 3 finalist alongside SignalFlare.ai and BigGeo – congratulations to them as well!

A huge thank you to everyone who supported us on this journey, including Denise Persson, Lynn Martin, Judy Khan Shaw, Kate Landmann, Benjamin Gotfredson, Carly Hayden, Harsha Kapre, Grace Johnson, Bryan Lenker, CFA, and the entire NYSE team. As a longstanding symbol of American innovation for over 230 years, the NYSE continues to champion new technologies like SFS. We're incredibly proud to be part of the financial markets in America and to empower our customers to bring their creativity to the market using SFS's analytical tools.

And a special shout out to Anne Millington, Peter Millington, and Kathleen McCue for representing SFS at the NYSE closing bell!

𝐓𝐢𝐫𝐞𝐝 𝐨𝐟 𝐂𝐨𝐦𝐩𝐥𝐞𝐱 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐃𝐚𝐭𝐚?

Say goodbye to complicated queries and hello to natural language interaction with SFS's Quotient™ Powered by Snowflake Cortex Copilot Analyst, Quotient™ lets you:

✅ Ask questions in plain English 🗣️
✅ Get instant answers and insights 🧠
✅ Make data-driven decisions with ease 📈

No more struggling with technical jargon or SQL. Just ask questions like "What were my most popular datasets last month?" and get instant visualizations.

Ready to simplify your financial analysis? Read the full text on our website. Click the link: https://scifinsys.com/empowering-data-exploration-natural-language-queries-with-snowflake-cortex-in-sfss-quotient/

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Empowering Data Exploration: Natural Language Queries with Snowflake Cortex in SFS’s Quotient™ - Scientific Financial Systems Share it now

kipi.ai has established itself as the ultimate experts in delivering cutting-edge AI solutions within the Snowflake platform, which is now the recognized as the pre-eminent platform for the latest AI technologies.

At SFS, we are thrilled to be strategic long-term partners of both Kipi and Snowflake, allowing us to benefit from their combined experience and acumen.

SFS is now utilizing AI to extend the reach and power of our Quotient analytical platform. + AI will enable users to perform complex financial analysis at a scale and speed never before possible.

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It’s not what AI does, but what AI does for us!

With partners like Snowflake and Kipi.ai, SFS can cultivate and deliver next generation AI solutions for the investment management industry.

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Jason Small on LinkedIn: #kipiai #rebrand #ai #innovation #snowflake | 20 comments I’m proud to announce the evolution of kipi.bi into kipi.ai. This transition is more than a rebrand—it represents our forward-thinking approach to AI and data… | 20 comments on LinkedIn