Frost Data Capital
VC Fund
San Juan Capistrano, United States
Frost Data Capital is a VC fund in San Juan Capistrano focused on Analytics and Big Data. Frost Data Capital partners with large corporations to pair demonstrated market needs with early stage company dynamics. The aim is to address real market pains in a lean, agile, and fast start-up environment. The firm's venture funds invest only in companies created within the Frost Data Capital ecosystem and incubator.
- Total investments:
- 13
- Last investment:
- Lead investor:
- 77%
Last updated:
For AI agents: llms.txt
Industries Frost Data Capital invests in
AnalyticsBig DataSoftwareMachine LearningInternet of Things
Stages Frost Data Capital invests in
SeedSeries APre-SeedSeries BSeries C
Countries Frost Data Capital invests in
United States
Contacts
| Name | Phone | Socials | |
|---|---|---|---|
Choo Kim-Isgitt
|
|||
Jack Kreindler
|
|||
|
James Greene
|
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Miles Mahoney
|
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Robert Voccola
|
Investment Focus
Industry
- Analytics 7 (54%)
- Big Data 5 (38%)
- Software 4 (31%)
- Machine Learning 4 (31%)
- Internet of Things 3 (23%)
Stage
- Seed 6 (46%)
- Series A 2 (15%)
- Pre-Seed 1 (8%)
- Series B 1 (8%)
- Series C 1 (8%)
Team
| Name | Title | Investments | Links | |
|---|---|---|---|---|
|
Choo Kim-Isgitt
COO, Industrial IoT
|
COO, Industrial IoT | Total investments: 0 | Find email | |
|
Jack Kreindler
General Partner
|
General Partner | Total investments: 0 | Find email | |
|
James Greene
General Partner
|
General Partner | Total investments: 0 | Find email | |
|
Miles Mahoney
General Manager, Industrial
|
General Manager, Industrial | Total investments: 0 | Find email | |
|
Robert Voccola
VP Marketing
|
VP Marketing | Total investments: 0 | Find email | |
| See all 7 team members → | ||||
Investments
| Company | Description | Round | Links |
|---|---|---|---|
Maana
|
Maana is the pioneer in knowledge-centric technology. The Maana Knowledge Platform accelerates knowledge discovery to increase profitability. Maana’s patented Knowledge Graph— a breakthrough invention — at the core of the platform expedites extracting knowledge from data silos, to reveal the relationships within the context of an asset or processcompanies wish to optimize. Global companies such as GE, Chevron, and Shell are increasing profitability with Maana by operationalizing insights into line-of-business applications for thousands of employees to make faster data-driven decisions. Investors include Chevron Technology Ventures, ConocoPhillips Technology Ventures, Frost Data Capital, GE Ventures, Intel Capital, Saudi Aramco Energy Ventures, and Shell Technology Ventures. Maana is privately held with offices in Palo Alto, California, and Bellevue, Washington. | $26M / Series B / May 03, 2016 | |
|
Maana
|
Maana is the pioneer in knowledge-centric technology. The Maana Knowledge Platform accelerates knowledge discovery to increase profitability. Maana’s patented Knowledge Graph— a breakthrough invention — at the core of the platform expedites extracting knowledge from data silos, to reveal the relationships within the context of an asset or processcompanies wish to optimize. Global companies such as GE, Chevron, and Shell are increasing profitability with Maana by operationalizing insights into line-of-business applications for thousands of employees to make faster data-driven decisions. Investors include Chevron Technology Ventures, ConocoPhillips Technology Ventures, Frost Data Capital, GE Ventures, Intel Capital, Saudi Aramco Energy Ventures, and Shell Technology Ventures. Maana is privately held with offices in Palo Alto, California, and Bellevue, Washington. | $14M / Series A / May 21, 2015 | |
PingThings
|
PingThings brings real-time big-data technology and an innovative solution to machine-learning for physical systems together to transform the management of the state of the electric utility grid and high-value industrial assets such as GSU transformers and step-down transformers. PingThings' PredictiveGrid technology is designed from theground up with sensor analytics in mind, focusing on storing and manipulating time-series data and modeling complex relationships between synchrophasors' high-resolution signals. | Seed / Apr 23, 2015 | |
|
PingThings
|
PingThings brings real-time big-data technology and an innovative solution to machine-learning for physical systems together to transform the management of the state of the electric utility grid and high-value industrial assets such as GSU transformers and step-down transformers. PingThings' PredictiveGrid technology is designed from theground up with sensor analytics in mind, focusing on storing and manipulating time-series data and modeling complex relationships between synchrophasors' high-resolution signals. | $1.4M / Seed / Jan 15, 2015 | |
Osprey Data
|
OspreyData was founded within the Frost Venture Partner incubator. OspreyData harnesses the mass of sensor data generated by modern, high-value mechanical assets to predict and prevent failures, reduce downtime, and enhance operating efficiency. OspreyData analyses sensor data in real time using machine learning to continuously improve the insightsand predictions it generates. By supplementing these capabilities with a full decision modeling platform OspreyData can produce accurate operational decisions to deliver optimal value from your high-value mechanical assets while preventing outages and accidents.OspreyData provides a missing layer in the architecture of modern mechanical systems. Existing control systems are unable to tap into the predictive insights hidden within the mass of sensor data generated by complex machines from jet turbines to oil platforms. OspreyData is a physical systems intelligence platform that operates alongside traditional monitoring, process control, and Supervisory Control and Data Acquisition (SCADA) to deliver deep, predictive insights into the behavior of complex mechanical systems. These insights drive the operation, servicing and management of these critical assets. | $4.7M / Seed / Nov 14, 2014 | |
Sentrian
|
Sentrian is a health IT company that includes a former member of the IBM team that helped adapt the Watson supercomputer for healthcare. | $8M / Series A / Nov 10, 2014 | |
SourceThought
|
SourceThought provides Big Data ETL and data processing solutions that run natively on Hadoop. We help enterprises source inspiration from their information by consuming large amounts of data in any form and processing it on commodity hardware for an incredibly low cost. Hadoop is a scalable open source platform used by Yahoo, Facebook and Twitterand is emerging as the platform of choice for Big Data. But Hadoop is just the starting point. Data must be discovered, extracted, profiled, cleansed, integrated, enhanced, managed and tracked. That is ETL/ELT/ELTL on Hadoop, and that is where SourceThought comes in. SourceThought’s team of ETL and data warehouse experts use SourceThought tools and Hadoop to deliver turn-key ETL solutions to the enterprise.Current ETL (Extract Transform Load) tools are not architected for Hadoop so projects require expensive custom coding. SourceThought provides an intuitive browser based visual workspace that has full access to Hadoop capabilities supporting parallel processing of unstructured data. Transitioning from current ETL and EDW environments to SourceThought creates substantial ROI by avoiding licensing and maintenance costs and lowering hardware costs. As enterprises strive to utilize their web logs, Twitter, Facebook, mobile, messaging, sensor and other data, SourceThought easily and economically onboards these new big data sources.SourceThought is backed by Frost Venture Partners, an incubator and investment fund focused on big data innovation. | $550K / Seed / Jun 20, 2014 | |
SegONE Inc.
|
SegONE provides micro-segmentation and contextual analytics software to help banks gain more consumer wallet share by enabling insights on when to make the right offer, to the right customer, for the right reasons. | $125K / Pre-Seed / May 12, 2014 | |
Mindshare Medical
|
Mindshare Medical is focused on the development of evidence-based clinical decision support technology solutions. The company’s proprietary solution provides personalized diagnostics and guidance on the effectiveness of follow-up procedures and treatments. This approach is intended to improve quality of patient care and reduce financial liabilityfor healthcare organizations.Mindshare Medical was founded by Samir Chowdhury and Michael Calhoun in May 2014. | Seed / May 06, 2014 | |
|
PingThings
|
PingThings brings real-time big-data technology and an innovative solution to machine-learning for physical systems together to transform the management of the state of the electric utility grid and high-value industrial assets such as GSU transformers and step-down transformers. PingThings' PredictiveGrid technology is designed from theground up with sensor analytics in mind, focusing on storing and manipulating time-series data and modeling complex relationships between synchrophasors' high-resolution signals. | $1M / Seed / Apr 21, 2014 | |
| See all 13 investments → | |||
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FAQ
What does Frost Data Capital invest in?
Frost Data Capital invests primarily in Analytics, Big Data and Software startups, most often at Seed and Series A stage. Most of the 13 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.
How do I contact Frost Data Capital?
Public channels for Frost Data Capital include LinkedIn, X (Twitter) and the website linked on this profile. For a verified work email and phone number, create a free Shizune account — contact data is searched across 20+ sources and validated before delivery, so your outreach lands in the right inbox.
Who are the partners at Frost Data Capital?
The team at Frost Data Capital includes Choo Kim-Isgitt (COO, Industrial IoT), Jack Kreindler (General Partner) and James Greene (General Partner), among 7 team members tracked by Shizune. The Team section lists each member with their title, investment count and links.
Is Shizune's investor data accurate?
Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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