What is Jarvis?

Jarvis is a curated data platform that provides a state-of-the-art app ecosystem to query a central data repository connecting to numerous structured, semi-structured, and unstructured data sources using standard data model specifications to – generate automated insights, perform quality assurance testing, automate project delivery workflows, and implement machine learning techniques for data-driven buildings design, analysis, energy code compliance evaluations, and continued performance tracking.

Market Need

The Buildings industry is slowly moving towards greater adoption of connected databases and web technologies for design, analysis, code compliance, operations, and performance tracking. Consequently, architects, engineers, designers, analysts, researchers, academics, and others have to work with a multitude of unrelated data dictionaries, incompatible schemas, and varying file formats to represent building information. Furthermore, the highly fragmented nature of the market has created a plethora of duplicated (yet incompatible) workflows that greatly increase data transformation and remapping, and the manual population of datapoints. Consequently, there are vast time- and cost-inefficiencies rampant across the entire life-cycle of a building.

Therefore, there exists an urgent need for a cloud-based data platform that – i) provides a web-based cross-platform user experience, ii) employs a unified data architecture fundamentally designed for interoperability, iii) implements consensus data governance rulesets, and iv) enables rapid scaling of input datasets from disparate sources to facilitate data-driven decision-making for individual buildings, portfolio owners, and well as code jurisdictions to glean meaningful insights from enormous datasets.

A Datalakehouse for Buildings

Generally speaking, three broad categories of data management architecture that are most prevalent today – a data warehouse, a data lake, and a data lakehouse.

A data warehouse ingests large amounts of structured data and makes it available for targeted analytics, evaluations, reporting, and other similar use cases. Data warehouses have a long and successful history of supporting single organizations, as well as entire market sectors, however, a key limitation of data warehouses is that they are primarily designed for highly-structured input datasets and are designed for traditional BI applications.

A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. It prioritizes scalable storage over immediate query performance.

A data lakehouse is an architecture that combines data lakes and data warehouses. More specifically, a data lakehouse takes the flexible storage of unstructured data from a data lake and the management features and tools from data warehouses, then strategically implements them together as a larger system. This integration of two unique tools brings the best of both worlds to users.

Benefits of a Date Lakehouse

The data lakehouse is the next generation of the data warehouse and data lake, designed to meet today's complex and ever-changing modern information systems.

Data Flow

Jarvis is a data warehousing platform designed for the AEC industry. Jarvis provides project teams a tightly integrated app eco system for knowledge sharing, data handling, file management, and the automation of routine tasks associated with building design, analysis, and compliance. The Jarvis platform consists of a central data repository called JarvisDb which project teams can interact with using either – a Graphical User Interface and/or a Python Application Programming Interface. Jarvis supports platform-wide data exchange using a contemporary web-first family of data models. The goal of Jarvis is not to replace project teams, but to support them with powerful automated design suggestions so they can make timely data-driven decisions through all project phases.

The Jarvis platform consists of a central data repository called JarvisDb which project teams can interact with using either – a Graphical User Interface and/or a Python Application Programming Interface. Jarvis supports platform-wide data exchange using a contemporary web-first family of data models. The goal of Jarvis is not to replace project teams, but to support them with powerful automated design suggestions so they can make timely data-driven decisions through all project phases.

Project Metadata

Everything in Jarvis starts with the Projects app. The project creation form is easy to use and intuitive, and ensures that all default selections are applied from the very beginning of a project life-cycle. Project Managers can also easily manage their teams to control data sharing. All projects are organized by project phase, and non-active phases can easily be archived. For users with a large existing project database, the mass project import form allows users to upload 20 projects at a time.

Climate & Resilience

Climate app is a one stop shop for all things climate and weather. The app uses a graphical interface to select and analyze design data, typical weather data, and future weather files (coming soon). The automated report organizes insights by trade (architectural, mechanical, electrical, plumbing, and building performance), and features an innovative Climate Responsive Design with project-specific suggestions on design measures. The app also enables side-by-side comparisons between two locations.

Resilience insights reports are generated drawing from lessons learned and best practices from across the industry. It is a highly sought-after service for building owners wishing to design and operate buildings beyond current codes and standards. Suggestions include considerations such as – storage space for emergency supplies, energy and water savings measures to mitigate impacts from disasters, back-up power, etc.

Performance Tracking

The Performance App rapidly imports energy model data and makes it available for insights, side-by-side comparisons, simulation diagnostics, and visualization of a portfolio. The report and diagnostics tools compare energy models against expected values from industry databases and provides intelligent insights. The app currently supports DOE-2 and EnergyPlus models, and supports exceptional calculations.

Cloud Storage

My Drive is a fully capable cloud storage solution. It includes restricted access, automatic folder management, file downloads, and other nifty features we have expect from modern data infrastructure software. Businesses have the choice to pick a suitable storage capacity based on their usage needs so all pertinent project metadata and reports are automatically cataloged and archived.

Helpful Utilities

Jarvis has built-in utilities that simplify day-to-day tasks. Jarvis users may choose to work in SI or I-P and may switch back-and-forth as needed. Furthermore, the BPM Calculator utility includes about 40 measurement categories from length, to thermal diffusivity, to volumetric flow rate per unit area. These come with a simple copy and paste feature that our users love.

Support and Documentation

Jarvis is designed to be intuitive so users generally don’t require much guidance, however, dedicated apps have available on the homepage to guide new and advanced users to make the most of the platform.

Select Beta Accounts

What our Customers Say

Join Our Beta

Dive into the future of data management with our Jarvis — where the possibilities for as vast as your ambitions. Join our exclusive beta testing program today and be among the first to transform data chaos into crystal-clear insights, all while shaping the next revolution in data technology. Your feedback will be the key to unlocking a smarter, more efficient tomorrow, and together, we'll redefine what’s possible.