Launch HN: Datrics (YC W21) – No-Code Analytics and ML for FinTech https://bit.ly/3avf7wT

Launch HN: Datrics (YC W21) – No-Code Analytics and ML for FinTech Hey everyone, we're Anton (avais), Kirill (Datkiri), and Volodymyr (vsofi), the founders of Datrics ( https://bit.ly/3pwzr56 ). We help FinTech companies build and deploy machine learning models without writing code. We provide a visual tool to work with structured data by constructing a diagram of data manipulations from lego-like bricks, and then execute it all on a backend. This lets our users accomplish tasks that usually need a team of software engineers, data scientists, and DevOps. For instance, one of our customers is a consumer lending company that developed a new risk model using just our drag-and-drop interface. I used to lead a large data science consultancy team, being responsible for Financial Services (and Risks specifically). Our teams’ projects included end-to-end risk modeling, demand forecasting, and inventory management optimization, mostly requiring combined efforts from different technical teams and business units to be implemented. It usually took months of work to turn an idea into a complete solution, going through data snapshot gathering to cleansing to experimenting to working with engineering and DevOps teams to turn experiments in Jupyter notebooks into a complete application that worked in production. Moreover, even if the application and logic behind the scenes were really simple (could be just dozens or hundreds of lines of code for a core part), the process to bring this to end-users could take ages. We started thinking about possible solutions when a request from one of the Tier 1 banks appeared, which confirmed that we’re not alone in this vision: their problem was giving their “citizen data scientists” and “citizen developers” power to do data-driven work. In other words, work with the data and generate insights useful for business. That was the first time I’d heard the term “citizen data scientist”. Our users are now these citizen data scientists and developers, whom we’re giving the possibility to manipulate data, build apps, pipelines, and ML models with just nominal IT support. Datrics is designed not only to do ML without coding, but to give analysts and domain experts a drag and drop interface to perform queries, generate reports, and do forecasting in a visual way with nominal IT support. One of our core use cases is doing better credit risk modeling - create application scorecards based on ML or apply rule-based transactional fraud detection. For this use-case, we’ve developed intelligent bricks that allow you to do variables binning and scorecards in a visual way. Other use cases include reports and pivot tables on aggregating sales data from different countries in different formats or doing inventory optimization by forecasting the demand without knowing any programming language. We’re providing 50+ bricks to construct ETL pipelines and build models. There are some limitations - a finite number of pre-built building blocks that can be included in your app, but if there is no block that you need, you can easily build your own ( https://youtu.be/BQNFcZWwUC8 ). Datrics is initially cloud-native, but also can be installed on-prem for those customers who have corresponding security policy or setups. The underlying technology, the pipeline execution engine is rather complex and currently built on top of Dask, which gives Python scalability for big datasets. In the next release, we are going to support Pandas as well as to switch intelligently between small datasets for rapid prototyping and big datasets for pipeline deployments. We’re charging only for private deployments, so our web version is free: https://bit.ly/3uaB3Fd . Try it to create your analytical applications with a machine learning component! We've put together a wiki ( https://bit.ly/37lP7SE ) to cover the major functionality, We are super-excited to hear your thoughts and feedback! We're big believers in the power of Machine Learning and self-service analytics and are happy to discuss what you think of no-code approaches for doing ML and analytics generally as well as the availability of them for non-data scientists. Or anything you want to share in this space! February 18, 2021 at 09:12AM

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Launch HN: Worksphere (YC W21) – Manage flexible in-office or remote workspaces Hey HN, Aakhil, Theresa & Mark here at Worksphere ( https://bit.ly/37lUm4K ). Our software helps companies manage a safe workplace where employees can work flexibly in-office or remote. Worksphere automates desk reservations, safe entry, and gives companies office usage data to right-size their workplaces. We previously worked together at Lish, a corporate catering marketplace startup catering (pun intended) to tech companies. Last March our revenue went off a cliff. No people in office = no lunch orders. We love our clients and our team, so we got to work on solving a new problem for our primary users - HR, Office, and Facilities Managers. At the start of the pandemic, our users were struggling with how to return to their offices safely. New problems like enforcing social distancing, screening for COVID-19 symptoms, and contact tracing could not be solved at scale with existing tools. New coronavirus workplace regulations have cropped up, which are a pain and come with big financial risk if companies don’t comply (we’re looking at you CA businesses dealing with SB 1159 & AB 685 - learn more at https://bit.ly/2NhZ9xp... ). As the pandemic has continued (and continued, and continued) businesses are facing a new challenge. 75% of office employees report that they want a hybrid in-office and remote schedule. No one misses their 5-day-a-week commute. At the same time, collaboration and culture are hard to foster on Zoom and Slack alone. Employees still want access to an office when needed, but don’t want to come to work in an empty space. Businesses want the upsides of flexibility, but don’t want to pay for empty or only occasionally used desks — office space costs $10-12k per employee annually in major US cities. We believe that a hybrid workweek is a better workweek, and that an active approach is needed to make it a win-win for employees and businesses. Our features help businesses reopen safely and realize the full potential of a flexible workplace. We automate the wellness surveys, contact tracing, and capacity limits needed to enforce internal safety guidelines and regional regulations. This alleviates a ton of manual work for Office and HR managers. Employees can create in-office schedules and see who else is in the office to increase collaboration. We track office utilization data so companies can make smart decisions about their office space and lease. Worksphere is $6 per active employee/month, and our clients only pay for employees that come to the office. If you’re one of the 3 of 4 people who wants to work flexibly post-pandemic, or if you manage a workplace, we’d love to hear from you. How frequently do you think you’ll need office space? What problems are you facing in this changing work environment? We’ll reply in the comments or you can email us at info@worksphere.com. Thanks so much for your feedback! February 17, 2021 at 05:06PM

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