Code Story | Startup Podcast for CTOs, CEOs and Technical Founders

Today we are dropping another special episode of the Code Story podcast, as part of our series entailed Beyond Bots: the REAL impact of AI on financial services, brought to you by our friends at Ntropy. As a reminder, Ntropy is the most accurate financial data standardization and enrichment API. They can take in any data source, any geography, and understand / enrich a financial transition in milliseconds. Made for developers, for fast, easy implementation. Check out their product at Ntropy.com.

Guest: Bryce Crawford, CTO & Co-founder at Meow

Questions:

• Remind the audience what Meow does.
• How long have you been a customer of Ntropy? When did this come into play?
• Last we talked about passing on revenue to customers in banking. It’s hard given the tight margins. How is Meow thinking about that today?
• Is the “software layer” on top of finance going to make this better? How?
• Generative AI and LLMs are the talk of the town, are you seeing any use cases? Or, are you working on an in-house solutions?
• There are many new decisions you have to make as a CTO. How does you prioritize around what will make a difference in the market?
• What matters to your customers.... are people expecting finance to be magical or simply reliable?
• What is the real impact of AI on finance going to be in your eyes?

Links

• Website: https://www.ntropy.com/
• LinkedIn: https://www.linkedin.com/in/bryce-crawford-32164466/
• https://codestory.co/podcast/e6-bryce-crawford-meow-treasury-management/

Matthew O'Riordan is originally from South Africa. He left school and sort of fell into engineering, cause he just loved it. In fact, the craft brought him to the UK, where he saw more opportunity. Outside of tech, he likes adrenaline sports. He was a competitively skydiver, participating in free style routines, free-fly and vertical formation. He pointed out that it's a great way to clear your head, cause you can't think about anything else when you're skydiving.

Matt unearthed interesting things as he was building prototype after prototype to solve real time experiences. He wanted to build a new generation of real time communication developer tools, that provide collaboration opportunity... and that just work.

This is the creation story of Ably.

Sponsors

• Cipherstash
• Treblle
• CAST AI 
• Firefly
• Turso
• Memberstack

Links

• Website: https://ably.com/
• LinkedIn: https://www.linkedin.com/in/mattoriordan/

Ali Nichols has been obsessed with real estate since she was a little kid. She has always wanted to marry whatever she was doing with real estate, and is pretty stoked to have achieved that. Outside of tech, she loves to spend time with her family and friends, hiking, golfing or boating. In fact, when she and her significant other were living in San Fransisco, they boat a sailboat and were obsessed with the craft. But now that the live in Miami, they've switched over to power boating, to better enjoy all that Florida water has to offer.

Ali and her Co-founder previously worked together at a real estate startup, specifically in the single family rental space. They both really struggled with the idea that their friends were priced out of the market, and wanted to make opportunities available to more people.

This is the creation story of Getaway.

Sponsors

• Cipherstash
• Treblle
• CAST AI 
• Firefly
• Turso
• Memberstack

Links

• Website: https://www.getaway.co/
• LinkedIn: https://www.linkedin.com/in/alicnichols/

Dan Lines is married, with a 3 year old daughter and a baby on the way. He has lived all over the US - 7 years in Boston, 5 years in LA, and he now lives in Upstate New York. He has always been into the creation of things, being the kid in high school burning and selling CD's, building computers on the side, or creating an early sports streaming platform, before streaming was a thing.

Before Dan founded his current company with his co-founder Ori, he was an engineering leader, with 100 engineers reporting to him. During that journey, he catalogued all of the pains he felt as a VP of Engineering. Post acquisition of his prior company, he decided to build a system to solve those pains.

This is the creation story of LinearB.

Sponsors

• Cipherstash
• Treblle
• CAST AI 
• Firefly
• Turso
• Memberstack

Links

• Website: https://linearb.io/
• LinkedIn: https://www.linkedin.com/in/dan-lines/

Today we are dropping another special episode of the Code Story podcast, as part of our series entailed Beyond Bots: the REAL impact of AI on financial services, brought to you by our friends at Ntropy. As a reminder, Ntropy is the most accurate financial data standardization and enrichment API. They can take in any data source, any geography, and understand / enrich a financial transition in milliseconds. Made for developers, for fast, easy implementation. Check out their product at Ntropy.com.

Guest: Ilia Zintchenko, CTO & Co-founder of Ntropy

Questions:

• We talked with Nare about Ntropy and LLM's. But let's dig in more.... what is your LLM stack? How did you choose it, what were the considerations?
• What are the system costs in doing this?
• How do you optimize on reliability - what sort of lever are you pulling to ensure reliability?'
• How are you thinking about predictive vs generative learning?
• You guys have been using small and large LM's since the beginning - why is this significant?
• What data sources have you been using, and are there some that are better than others?'
• Have you had to scrub these data sources in any way to prep them for your LM?
• What is the major benefit that Ntropy is providing by using LLM?
• What would you go back and change if you could?

Links

• Website: https://www.ntropy.com/
• LinkedIn: https://www.linkedin.com/in/iliazintchenko/

Einat Sitbon has always been intrigued by nature, and all of its parts. She studied biology in school, all the way through getting her PhD in Computational Biology. This field also introduced her to computation in general, and programming. Outside of tech, she is married with 2 kids, and loves to hike. Her and her family share a love of fiction and fantasy books, and made mention her love of NK Jemision and JRR Tolkien.

Einat's and her sister are very close, and at one point, her sister mentioned that her son was ADHD. They found it difficult to understand how there wasn't a tool to help measure the concentration of a person with this diagnosis. They both started digging into how to solve this problem.

This is the creation story of iFocus Health.

Sponsors

• Cipherstash
• Treblle
• CAST AI 
• Firefly
• Turso
• Memberstack

Links

• Website: https://ifocustest.com/
• LinkedIn: https://www.linkedin.com/in/%F0%9F%87%BA%F0%9F%87%A6-einat-sitbon-b70a7b/

Sharekh Shaikh has an interesting background, having grown up (almost) on a farm in India, within a small town. He spent most of his time with animals and pets, more than people, and followed his father around as he travelled for work. He is big into motorbikes and reading philosophy, specifically stoics, and tends to read the older books over newer podcast or material. He's also trying to learn piano, but admits he's struggling in that arena.

When Sharekh was working for Gartner, he faced a problem around fraud, using online services for research. When he thought more about this, he decided he wanted to build a platform fueling market research... built on transparency and trust.

This is the creation story of CleverX.

Sponsors

• Cipherstash
• Treblle
• CAST AI 
• Firefly
• Turso
• Memberstack

Links

• Website: https://cleverx.com/
• LinkedIn: https://www.linkedin.com/in/sharekh-shaikh-4591874/

Colleen Schnettler was a stay at home Mom for many years, taking care of her 3 children. When she was looking to return to work, she was looking for remote - and it seemed that programming was the best avenue. She taught herself rails development, with the goal of starting her own company. Outside of tech, she spends time with her family outdoors, and claims she is a meat and potatoes kinda gal, with some bark thins for desert.

Recently, Colleen and her co-founder did a pivot of their previous offering, which was a package to solve reporting problems by embed them into your application. They are now focused on a SaaS tool, to provide this functionality for you.

This is the creation story of HelloQuery.

Sponsors

• Cipherstash
• Treblle
• CAST AI 
• Firefly
• Turso
• Memberstack

Links

• Website: https://helloquery.com/
• Website: https://hammerstone.dev/
• LinkedIn: https://www.linkedin.com/in/colleen-schnettler/

Eduardo Abeliuk is originally from Santiago, Chile, where he spent the first few decades of his life. From early days, he had a deep curiosity to understand the world around him, which led him to study physics and electrical engineering. Post school, he joined an MIT startup, prior to obtaining his PhD from Stanford. Outside of tech, he likes to read books about longetivit, and listen to the Lex Friedman podcast. He also walks for at least an hour a day, and enjoys hiking, biking and time with family and friends.

Together with some colleagues from Stanford, Eduardo felt the pains of planning research projects. This process contained several processes that could have been automated through software. So, they decided to set out and build an enterprise solution for R&D projects.

This is the creation story of Teselegen.

Sponsors

• Cipherstash
• Treblle
• CAST AI 
• Firefly
• Turso
• Memberstack

Links

• Website: https://teselagen.com/
• LinkedIn: https://www.linkedin.com/in/eduardoabeliuk/

Today we are kicking off a special and new series entailed Beyond Bots: the REAL impact of AI on financial services, brought to you by our friends at Ntropy. As a reminder, Ntropy is the most accurate financial data standardization and enrichment API. They can take in any data source, any geography, and understand / enrich a financial transition in milliseconds. Made for developers, for fast, easy implementation. Check out their product at Ntropy.com.

Guest: Naré Vardanyan, CEO & Co-founder of Ntropy

Questions:

• Tell me what a large language model is. Is there any difference between this and deep learning models?
• What is the difference between language models and LLM's?
• What sort of data sets were your models pre-trained on? How long does that take?
• How does the cost of training these models factor into your offering?
• Can you talk about latency as a key factor in this process?
• You've told me Ntropy has been doing this since the beginning, but give me a little more - how does this fit into Ntropy's approach?
• What is in the future for Ntropy in this space, specifically as it relates to LLM's and financial services?

Links

• Website: https://www.ntropy.com/
• LinkedIn: https://www.linkedin.com/in/narevardanyan/