Crux Informatics Announces $10 Million Series A Led by Goldman Sachs Principal Strategic Investments

NEW YORK and SAN FRANCISCO, Nov. 8, 2017 / PRNewswire/ — With the volume and variety of data exploding year-over-year, extracting value has never been more challenging. Trying to process data into actionable insights is a massively expensive and exhaustive undertaking. With all of this new data, companies’ information supply chains are getting more complex and harder to manage, yet to date, financial firms have generally managed them themselves. That’s why Crux Informatics (Crux) today emerged from stealth mode to announce it closed $10 million in Series A financing, led by Goldman Sachs Principal Strategic Investments (PSI) and other institutional investors.

“The emergence of unstructured data as an important input into the investment process creates a great opportunity for financial institutions, but only if actionable insights can be extrapolated from it,” said Darren Cohen, global head of Goldman Sachs’ Principal Strategic Investments group. “Crux’s innovative approach—coupled with their deep expertise in financial services and capital markets– brings economies of scale that will allow companies to be more agile, inventive and effective with data.”

Simplifying Data

Crux is an informatics company that is a natural outgrowth of the non-differentiated and time-consuming data work companies need to do before they can extract value from their data. Crux helps companies reduce the effort and money spent acquiring, exploring and processing large amounts of data. Crux implements and operates the data processing pipelines they create for their customers’ unique requirements. With Crux, companies can find actionable insights faster and easier.

For data consumers, Crux provides a data engineering concierge service, which delivers easy access to actionable data.

To fuel its customers’ appetite for data, Crux has created a rich network of data content suppliers. The network connects data suppliers with data consumers through Crux engineered supply chains.

Crux’s Informatics Platform offers best of breed technologies to store, explore and transform data. Delivered as an integrated cloud service, the platform makes it easy to develop and manage the execution of industrial grade information processing pipelines for its customers.

Immediate Access to Data Insights

Hedge funds, banks and insurance carriers rely on Crux to help them explore and make use of a wide range of traditional and alternative financially relevant data.

“Gathering information about the world, doing analysis, and driving unique insight is the life-blood of the financial industry,” said Philip Brittan, CEO of Crux. “It is a hard process filled with numerous pain points. Crux is a unique new offering, created to help our clients much more easily find, explore, and make use of relevant data. We take on the burdensome and non-differentiating aspects of our customers’ information supply chains, so they can focus on what really matters for their business. In doing do, we strive to make data delightful.”

A New Solution for Financial Services

Crux’ goal is to solve the pain of data wrangling by helping firms access data with ease. Crux delivers three core elements to address data challenges:

Informatics Platform

Crux offers a secure and scalable environment to store, explore and transform data through its integrated cloud service:

  • Toolset for creating data production pipelines to include data import, analysis, visualization and exploration
  • Rich suite of APIs to connect with best of breed third party services
  • Detailed audit trails, versioning and consumption metrics
  • Controlled access to data through granular entitlements 

Data Engineering Concierge Service

The Crux engineering team of data scientists and data engineers applies machine learning technologies and Crux developed data wrangling tools to organize data at scale to onboard, clean and normalize raw data to make it actionable.

We will:

  • Onboard unique content from a variety of data sources
  • Clean data to remove outliers and inconsistencies
  • Normalize and transform data to meet your requirements
  • Provide operational management and monitoring directly with vendors

Supplier Network

The Crux Supplier Network brings together content from multiple sources and enables in-house datasets to work alongside those from established data providers. The Network enables:

  • Discovery of new and interesting content
  • Evaluation of data sets before making a purchase decision
  • Ability to acquire the dataset directly from the data provider
  • Connection and interaction with a global data-focused community

Crux does not sell or resell any data or analytics—producers and consumers can count on Crux being an objective, neutral partner. Producers have full control over where their data goes. Providers license their content directly to customers and Crux acts as a third party facilitator to wire up and watch over the data pipelines, on behalf of customers. 

About Crux Informatics

Crux was built to solve the pain of data wrangling by helping firms acquire, explore and transform data with ease. Actionable insights are the life-blood of industry and Crux takes on the burdensome and non-differentiating aspects of our customers’ information supply chains so they can focus on what really matters most for their business. For providers of content and analytics, Crux accelerates sales by enabling direct access to target consumers and reducing friction for them evaluating and acquiring content. With the Crux Informatics Platform, customers benefit from a secure and scalable cloud environment to store, explore and transform data. At Crux, we make data delightful. Visit us at www.cruxinformatics.com

 

Media Contact:
Crux Informatics
Elizabeth Pritchard
email: [email protected]

 

Orchestrate, Implement, Operate

 

In my last blog post, I talked about how informatics firms help companies ‘orchestrate, implement, and operate’ their information supply chains.  What exactly do I mean by that?  As an Informatics firm, this is what Crux does:

 

Orchestrate:  ‘Orchestrating’ in general means pulling together and coordinating a variety of components to work together effectively, the way the conductor of an orchestra makes sure the individual musicians are playing together effectively to bring the music to life. The first step in creating a supply chain is deciding the elements that need to go into it. This is driven by the use case of the consuming customer (hedge fund, bank, insurance co, etc). What data do they need, and in what form do they need it?  Crux works with a supplier network of partners: data publishers, analytics firms, and service providers who form the components of the supply chain that Crux implements and operates.  In some cases, a consumer may have a specific dataset or vendor that they know they want to work with.  In some cases, the consumer only knows the type of data they want and they look to Crux to help them surface potential providers of that data and possibly to run tests on candidate datasets to objectively test the fitness of that data to the customer’s use case.  Crux works with a wide range of tools and 3rd party service providers and pulls them into the appropriate set to meet the needs of the specific supply chain.  For instance, there may be a specialist who transforms the data in some specific way (akin to a ‘refiner’ in my last blog post).  Crux partners can make themselves visible to clients on the Crux platform so that customers can browse and learn about specific datasets, analytics, and services, get inspired, and express interest in exploring any of them more deeply.

 

Importantly, Crux does not sell or resell any data or analytics itself — producers and consumers can count on Crux being an objective neutral partner and producers have full control over where their data goes.  Providers license their content directly to customers and Crux acts as a third party facilitator to wire up and watch over the data pipelines, on behalf of customers, as described below.

 

Implement:  A supply chain fundamentally involves the flow of goods from producer to consumer. In the physical goods world (traditional logistics), that involves transportation, storage, and (potentially) repackaging. In the case of an information supply chain, it involves the transportation, storage, and repackaging of data.  These are the fundamental data engineering tasks that allow data to flow between parties in a way that is maximally actionable for the consumer.  These data engineering tasks generally involve writing software that ingests the data (maybe picks up FTP files, copies from an entitled S3 bucket, legally scrapes a web site, hits an API, etc.), validates it (look for missing, unrecognizable, or erroneous data), structures it (usually into one or more database tables), cleans it, normalizes it, transforms it, enriches it, maps embedded identifiers, joins it with other data, removes duplicate entries, etc., all to support the specific use case of the customer.  This is the kind of data engineering work that Crux does to implement a specific supply chain for a customer, pulling in the appropriate data providers, tools, and value-added service providers identified in the Orchestration phase.

 

Operate:  Rarely is a dataset static. The vast majority of datasets receive regular updates, whether that’s once a month, or once per millisecond.  As that data flows, constant vigilance is needed to make sure data shows up when it is supposed to, that it’s not missing anything, that it doesn’t contain unidentifiable components.  Data Operations includes the monitoring and remediation of ongoing data streams.  Crux Data Operators set up dashboards and alerts to keep a close eye on data in motion and all the systems it travels through. When a problem is spotted, they immediately begin diagnosing and remediating the issue, in tight collaboration with the relevant data provider(s), to try to get ahead of the issue before it affects downstream consumers.  Data Operations also includes handling standard maintenance tasks such as watching for and reacting to data specification changes and scheduled maintenance outages coming from the data provider(s).

 

These are the key elements of Information Supply Chain Logistics in a nutshell.  It is a rich process and gives customers tremendous leverage in harnessing the integrated value of a network of suppliers.

 

Contact Crux if you’d like to learn more.

Informatics Firms and Information Supply Chains

Philip Brittan, CEO of Crux Informatics, Inc.

One of the most revolutionary steps in the evolution of manufacturing has been the emergence of sophisticated supply chains. To understand them, first imagine how a person or a firm could create a new product by gathering raw materials and making all the parts themselves. Then imagine how pieces of that process are picked up by others who specialize in various ingredients that go into creating the finished products, such as raw materials providers, tools makers, and (eventually) component manufacturers who create standardized subsets of a product that can be assembled by multiple downstream firms to produce different end products.

Over time the raw materials become more refined (planed lumber instead of timber, jet fuel instead of crude oil, steel instead of iron), and the refiners may in fact be separate companies in the supply chain who take in raw materials and output refined materials, perhaps in several steps by several companies. Over time, tools become more sophisticated and specialized, consuming materials and tools from their own supply chains. Components become increasingly complex and comprehensive (producing larger assemblages), again consuming materials, tools, and possibly sub-components from upstream. With this evolution, manufacturing supply chains have become exceedingly sophisticated and complex, with literally thousands of companies working together to build a car, for example.

One of the key innovations needed to allow this is standards. Thanks to accepted and widely used industry standards, a screw firm can specialize in making screws for a large number of downstream firms, without each screw being a bespoke project. That specialization/focus, and the automation that’s possible when manufacturing standardized components, drives economies of scale and advances in efficiency.

Along with physical goods, supply chains eventually also come to encompass value-added services, such as consulting, metrics gathering, supplier ratings, etc. A special kind of service provider associated with supply chains is the Logistics company. The Wikipedia definition of supply-chain logistics explains that “logistics is the management of the flow of things between the point of origin and the point of consumption in order to meet requirements of customers”. Logistics firms help companies orchestrate, implement, and operate their complex supply chains. They generally work with a network of suppliers that they can bring to bear when helping a firm set up a supply chain. And they have the skills and tools to make sure that the supply chains are operating smoothly, which in the physical goods world frequently involves planning and arranging efficient transportation and storage.

In information intensive industries, such as financial services, processing information to drive valuable insights is the core “manufacturing process”. For example, financial firms of all kinds—banks, hedge funds, research houses, private equity firms, insurance companies, etc.—all take in relevant information about the world, process and perform analysis on that information, drive insights, and take action on those insights. That action can take many forms—make a loan, place a trade, rebalance a portfolio, pitch a client, author a research report, buy a company, underwrite a policy, etc, depending on the type of firm—but all firms have at their core that critical process of gathering information and performing analysis to drive insight.

Over time, the range of information that firms utilize in this core process has grown in volume, velocity, and variety. As such, firms have started to move beyond simply collecting raw material (data), to thinking about their information supply chains, an evolution that closely mirrors what we have seen in manufacturing industries. We are witnessing rapid evolution in the tools that are available to companies to process and analyze data. And a large variety of suppliers, in the form of ‘alternative’ data vendors, have sprung up to meet the ever-expanding needs of financial firms to feed their insight generation processes. One interesting feature of information supply chains is that they may be looping, meaning company A may produce some data (perhaps exhaust from a trading system), feed it to one or more refiners, aggregators, or derived-data producers, who then feed their output back to company A to use in their analytics.

These information supply chains are getting more complex and thus harder to manage, yet—to date—financial firms have generally managed them themselves. This has led to inefficiencies and redundancies across the industry. Every firm has had to become at least basically competent in data management, many have built some form of in-house platform (some well, some poorly) to help manage their data flows. And we are left with a situation where hundreds (in some cases thousands) of firms are wiring up to the same sources of data, downloading the same data, storing the same data, cleaning the same data, mapping the same data etc, independently, redundantly, with no economies of scale.

Just as Logistics firms arose to help manufacturing firms manage their increasingly complex and burdensome supply chains, a new type of firm—Informatics firms—are an inevitable evolution of the market to help companies manage their information supply chains. Informatics firms help companies discover relevant sources of data and help them evaluate that data for fitness to the needs of the firm. They implement and operate the data processing pipelines that are needed to get the information from the supplier to the customer, while validating, cleaning, transforming, mapping, and enriching the data along the way (what we might call Data Engineering) so that it arrives at the customer in a form that is immediately actionable, meaning a firm can do something with it that is pertinent for their business (what we might call Data Science), as is, without requiring further refinement. With a supply chain mentality, Informatics firms pull in the right tools and partners to get the job done.

In effect, Informatics firms ‘manage the flow of information between the point of origin and the point of consumption in order to meet requirements of customers’. Informatics firms can bring economies of scale to the industry by wiring up to a specific source of data once, storing that data once, cleaning that data once, mapping that data once, on behalf of many clients, who can share the costs of those things rather than bearing them independently and redundantly. Informatics firms can also help with the broad implementation of industry standards, which allows for more automation and greater efficiency for everyone.

Firms in information-driven industries, such as financial services, need to think of their core data and analytics workflow as their ‘manufacturing’ process and they need to think about the content that feeds that process as their critical supply chain. As they do so, Informatics firms can help them orchestrate, implement, and operate those supply chains more effectively and efficiently.