FOUNDING MANAGEMENT TEAM
Realizing the full potential of process automation will from now on rely on systems that generate their own code. Systems architecture, data logic, visualization and analytics are the domain of sentient beings, the infrastructure should be managed automatically if we are to achieve any reliability at scale.
William Englis
CFO
Financial and legal advisor, compliance, risk.
M&A and financings expertise.
Portfolio manager at Caxton Risk arb at Wertheim
Investment banking at Dillon Read, attorney at Davis Polk.
Wharton MBA (finance), University of Pennsylvania
JD, Williams College BA (economics).
Anthony Tomasic
VP Product
Technologist focused on applied machine learning, databases and IoT
Co founded Master of Computational Data Science (MCDS) and Master of Science in Product Management
(MSPM) at Carnegie Mellon
University
CoFounder of eXML Media
CTO Common Object
PhD, Princeton MBA, CMU
Faculty Stanford University
Daniela Florescu
CEO / CTO
Senior Systems Architect:
Oracle, BEA, IBM, AT&T
Founder & CTO
XQRL.com, 28.io
Significant Data and Query language Landmarks:
Integrated Information Processing Platform (IIPP)
Zorba VM,
No SQL, SQL
and XQuery
Valerie Issarny
VP Research
rvices, mobile services and interactions with sensors and actuators.
Senior Scientist Inria
CoFounder Ambenetic
Research Scholar UC Berkley
CoFounder Ambicity
(environmental data)
David Shantz
CMO
CMO multiple funded and acquired technology ventures
Epic Fusion MES (Epic Data)
Kalera (IoT Vertical Farming)
Quona Capital (Accion)
CoAlign (exit-Stryker)
Morphic (acquired)
HP Domain, SRI x 3
MPower (Morningstar)
Velosant (First Data)
The Bohan Group (analytics)
Navio DRM,
Actona (Cisco)
Altamira (Microsoft)
Virtualization: The Digital Twin
Digital twins were a huge step forward in maintaining industrial process flow and uptime. Arica is in essence a virtual twin for your Industrial IoT solution. It is now possible to identify the weak spots, the places where transport costs are overrunning budgets and possibly where performance anomalies from the wrong sensor choice are causing bad data before they start to make costly errors.
We can now spot problems well ahead of anything that even resembles a curve. The whole system gets out of the reactionary phase of fixing emergencies and problems to deliver constructive maintenance.
COMPANY
CONTACT US
We are currently engaging with select partners on market applications and discussing possible partnerships.
REFERENCES
© 2020 ARICA, Inc. All Rights Reserved
We are currently engaging with a number of lab projects and discussing possible partnerships.
X