Insights

Strong Industry Partnerships Heavy.AI has established strategic collaborations with leading technology and industry players such as NVIDIA, Bain & Company, and Maxar, indicating a strong foothold in sectors requiring advanced geospatial and network analytics. These partnerships create cross-selling opportunities to expand into additional enterprise verticals and leverage existing client networks.

Expanding Use Cases with LLM The recent launch of HeavyIQ with Large Language Model capabilities demonstrates Heavy.AI’s move towards conversational and AI-powered analytics, appealing to organizations looking to enhance decision-making through natural language interfaces, especially in data-heavy industries like government, telecommunications, and utilities.

Growth in Data Capabilities With recent integrations such as Ookla for network intelligence and extensions utilizing NVIDIA Omniverse for digital twins, Heavy.AI is positioning itself as a versatile platform capable of handling large-scale, complex datasets—making it attractive to organizations seeking scalable, high-performance analytics solutions.

Financial and Market Position Generating between $25M and $50M in revenue with rapid innovative product launches and a funded capital of $55M, Heavy.AI is well-positioned for growth. Engaging mid-sized organizations and government agencies engaged in high-stakes analytics could open up significant sales opportunities.

Industry Focus and Verticals Heavy.AI’s customer base spans government, telecommunications, energy, utilities, and education sectors—all of which depend on real-time, location-based data analytics. Tailored solutions for these verticals offer avenues for upselling and expanding into new market segments exploring digital transformation initiatives.

OmniSci Tech Stack

OmniSci uses 8 technology products and services including CUDA, Varnish, Google Hosted Libraries, and more. Explore OmniSci's tech stack below.

  • CUDA
    Audio, Video, Graphics
  • Varnish
    Caching
  • Google Hosted Libraries
    Content Delivery Network
  • Google Workspace
    Email
  • Zapier
    IT Infrastructure
  • Microsoft Azure
    Platform As A Service
  • YouTube
    Video Players
  • Facebook
    Widgets

Media & News

OmniSci's Email Address Formats

OmniSci uses at least 2 format(s):
OmniSci Email FormatsExamplePercentage
First.Last@omnisci.comJohn.Doe@omnisci.com
97%
First@omnisci.comJohn@omnisci.com
2%
Last.First@omnisci.comDoe.John@omnisci.com
1%
First.Last@heavy.aiJohn.Doe@heavy.ai
78%
FLast@heavy.aiJDoe@heavy.ai
11%
FirstLas@heavy.aiJohnDoe@heavy.ai
5%
First@heavy.aiJohn@heavy.ai
6%

Frequently Asked Questions

Where is OmniSci's headquarters located?

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OmniSci's main headquarters is located at 100 Montgomery Street 5th Floor San Francisco, California 94104 United States. The company has employees across 5 continents, including North AmericaAsiaEurope.

What is OmniSci's phone number?

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You can contact OmniSci's main corporate office by phone at . For more prospecting data, LeadIQ has access to up-to-date and accurate contact information within our platform. Find, capture, and sync contact data to your CRM and sales tools in one click.

What is OmniSci's official website and social media links?

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OmniSci's official website is heavy.ai and has social profiles on LinkedInCrunchbase.

What is OmniSci's NAICS code?

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OmniSci's NAICS code is 5112 - Software Publishers.

How many employees does OmniSci have currently?

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As of April 2026, OmniSci has approximately 22 employees across 5 continents, including North AmericaAsiaEurope. Key team members include Controller: D. C.Customer Success Manager: J. R.Principal: E. S.. Explore OmniSci's employee directory with LeadIQ.

What industry does OmniSci belong to?

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OmniSci operates in the Software Development industry.

What technology does OmniSci use?

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OmniSci's tech stack includes CUDAVarnishGoogle Hosted LibrariesGoogle WorkspaceZapierMicrosoft AzureYouTubeFacebook.

What is OmniSci's email format?

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OmniSci's email format typically follows the pattern of First.Last@omnisci.com. Find more OmniSci email formats with LeadIQ.

How much funding has OmniSci raised to date?

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As of April 2026, OmniSci has raised $55M in funding. The last funding round occurred on Oct 03, 2018 for $55M.

When was OmniSci founded?

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OmniSci was founded in 2013.

OmniSci

Software DevelopmentCalifornia, United States11-50 Employees

HEAVY.AI provides advanced analytics that empower businesses and the government to visualize high-value opportunities and risks hidden in their big location and time data.

Leading organizations in government, telecommunications, energy, utilities, and higher education use HEAVY.AI to support high-impact decision-making in previously unimaginable timelines by harnessing the massive parallelism of modern GPU and CPU hardware. This analytics capability unifies today’s exploding data volumes from multiple sources for a better immersive and real-time, interactive visual experience. It can be deployed in the cloud and on-premise. 

HEAVY.AI originated from research at Harvard and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). HEAVY.AI is funded by GV, In-Q-Tel, New Enterprise Associates (NEA), NVIDIA, Tiger Global Management, Vanedge Capital and Verizon Ventures. The company is headquartered in San Francisco. Learn more about HEAVY.AI at heavy.ai.

Section iconCompany Overview

Headquarters
100 Montgomery Street 5th Floor San Francisco, California 94104 United States
Phone number
Website
heavy.ai
NAICS Code
5112 - Software Publishers
Founded
2013
Employees
11-50

Section iconFunding & Financials

  • $55M

    OmniSci has raised a total of $55M of funding over 5 rounds. Their latest funding round was raised on Oct 03, 2018 in the amount of $55M.

  • $25M$50M

    OmniSci's revenue is estimated to be in the range of $25M$50M

Section iconFunding & Financials

  • $55M

    OmniSci has raised a total of $55M of funding over 5 rounds. Their latest funding round was raised on Oct 03, 2018 in the amount of $55M.

  • $25M$50M

    OmniSci's revenue is estimated to be in the range of $25M$50M

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