Our mission at Intrinio is to power a generation of applications that will fundamentally change the way our broken financial system works. Intrinio data feeds form the basis of large enterprise business reporting applications, fintech web-apps, mobile apps and even blogs. It’s rewarding to see our product come to life at the hands of today’s most innovative developers. They are building powerful things.
We’re lucky to be in a business where we grow together with our customers, and we’re proud to show off their hard work. Each blog in this series will feature a developer or a startup that has leveraged our financial data feeds to build something incredible.
These are their stories.
Will Dawoodi, Co-Founder of Init.ai, has a stellar team. Together, they built a phenomenal technology for deploying conversational apps. It allows users to:
- Automate conversations
- Analyze them for actionable insight
- Assist sales and support staff in communications
While brainstorming ways to showcase this innovative technology, the Init.ai team decided that one of the best examples would be a data-heavy case. This led them to Intrinio, where they found a plethora of affordable and accessible financial data – an ecosystem free of roadblocks that encouraged them to go out and build something meaningful.
So What Exactly is Init.ai?
Init.ai is a developer platform that enables companies to easily create AI and natural language conversational apps and services. The init.ai technology is capable of processing entire dialogues – not just single messages.
A Comprehensive Solution
- Machine Learning
- Business Logic
- Integration With 3rd Party APIs
The technology starts off by extracting intent, then understanding context, and finally facilitating follow-on questions. Init.ai even works with multi-user chats.
“Companies can automate customer conversations beyond chatbots, augment human agents as they serve customers, and analyze multi-user conversations between users in support scenarios to derive actionable insights.”
Init.ai is based in NYC, and with venture backing is starting to pick up some serious steam. Init.ai joined TechStars in Spring of 2016. TechStars is an intensive program for that incubates, accelerates, mentors, connects, funds and promotes only the most elite early stage startups.
Through inclusion in this program Init.ai not only proved the disruptiveness of its business model, but the team gained access to investors, office space, funding, mentorship, perks and connections to a network of over 5,000 founders, alumni and mentors globally.
Hats off to you, Init.ai. Well done!
What Happens When You Marry Financial Data With a Conversational App?
You can have a conversation about AAPL stock with Facebook Messenger. Seriously.
The prospect of financial data made for a great case study. Finance can be very confusing – even more so when mountains of data are thrown at you. The init.ai team was willing to bet that the whole thing could be substantially simplified by using a natural language processing interface.
“At the extreme, using a Bloomberg terminal requires proprietary commands and drilling through multiple nested menus to pull information. Through conversation, data is surfaced quicker, better decisions are made, and the entire process is less intimidating without any learning curve.”
The combination of Intrinio’s flexible API access and Init.ai’s incredible conversational technology resulted in an awesome fintech chat feature. You can ask it about Apple’s stock price, Exxon’s revenues, or Facebook’s expenses. Get real time answers to your investing questions, right within the Facebook Messenger interface.
But how does Messenger know if we’re talking about Target the company, or target the verb? The good news is that technologies utilized at Init.ai have the ability to understand context, which allows you to ask follow on questions and build prior queries. Through this process it’s easy to distinguish between the two.
Check out the Source Code on Github here. The team at Init.ai encourages you to use it, modify it, deliver graphs, and make even more complex queries.
PS: you can leverage Init.ai’s CTO-approved tools to go beyond the limits of chatbots and add conversational interfaces to your own APIs.
I think the Init.ai team can identify with the Intrinio motto – We Can’t Wait to See What You Build.
What’s it Like to Work at Init.ai?
There is certainly no shortage of technical talent at the Init.ai offices. You’ll run into developers, machine learning engineers, linguists, designers and more. Think you have what it takes to drive the future of conversational technology? You may be in for some luck.
The Init.ai team is growing rapidly.
“We’re on the lookout for interesting people who want to crack the problem of conversational understanding.”