2. Successful approval of Seed C term sheet which is reset of cap table and control structure (full support of
GE Ventures and Investors in the Seed C Round) positioning us well operationally and for next Series A
Round
$250K DOE grant awarded to us to develop our products and commercialize for market (NOT a research
award)
PG&E, contract signed for paid Proof of concepts - increase Paid-Proof of Concept Demonstrability (3 new
use cases- total $125K)
Preferred Vendor Status Contract Signed with PG&E - Allowing PingThings to conduct business with all
other business units
PG&E recommended us to their Distribution group for more paid product engagements -building our
modules tailored to this new group (have immediate budget in place for immediate engagement)
Major Data Sharing Agreements signed – We are getting data from 20% of all utilities in North America
and estimate we will be getting data from 40% in Q4.(Peak Reliability Contract signed, ISO New England
Contract signed, more in discussion)
Starting Multi year commercial (beta) license deal discussions ($950K - $1.2M each) with Peak RC, PG&E
and other major utilities/ISOs (Central Main Power, Idaho Power..etc).
Completed military grade colocation facility – data security audited and approved by Peak Reliability
Coordinator and PG&E.
Continuing Thought Leadership in the industry- published O’Reilly technology book in March “Data and
Electric Power- From Deterministic Machines to Probabilistic Systems in Traditional Engineering”
Business update- last 90 days
3. $800B Invested in Smart Grid infrastructure
in the past decade
4
Existing technology is exploiting only a fraction of
the data’s potential value
Intelligent, transmission sensors generate
massive amounts of high fidelity, high volume data
Uses SmartGrid data to provide real time, pinpoint visibility into critical assets and
environments, for multi-million dollar cost savings and transformational insights
5. 4Company confidential
Market Status
A PROACTIVE solution to one opportunity - Intelligent
Asset Maintenance - will save $50B per year in the US
Intelligent
Asset
Maintenance
Asset
Protection
Solar Flare +
GMD Impact
Security
(EMP)
Intelligence
Distributed
Generation
Disruptions
Islanding
Dashboards BI &
Reporting
Historical
Analytics
Legacy solutions are
REACTIVE
Opportunities
6. Leveraging IoT Investment
PingThings uses existing end-points and data streams to
create new IoT Applications
Uses Big Data Science to identify anomalies, create alerts and
recommend actions from existing data streams and external data
Creates an Anomaly Detection Engine that monitors the same data
streams in real time to identify events, alerts and corrective actions
That is continuously refined through ongoing Machine Learning
Empowers operators with tools to mitigate disruptive events
before they happen
Makes use of current under-utilized data instead of adding
additional sensors, networks and data management
5
7. High demand for analytics
North American Smart Grid Market Growth 2013-2014
Source: GTM Research 2013-2014
Growth Rate (CAGR)
US transformer monitoring analytics
alone will grow 8x in 5 years
6Company Confidential
9. Who We Are
8
Company Confidential
Rich Sootkoos
Chief Executive Officer
Jerry Schuman
Chief Technology
Officer
Sean Patrick
Murphy
Chief Data Scientist
3x Founder/Co-
Founder with
Successful Exits
Senior Executive
Activision,
ZeroDegrees,
Idealab, Disney,
PepsiCo
Senior Scientist
Johns Hopkins
University Applied
Physics
Advanced Machine
Learning
3x Founder/Co-
Founder
Sun Microsystems,
Apple, Canon
Mehrdod Mohseni
Chief Revenue Officer
Chief Marketing Officer
GE Energy
President UISOL, an
Alstom Grid Company
Registered
Professional Engineer
and Senior IEEE
member
10. 5
Ingest
Engine
Receives &
processes data
PhasorSense™
Specific Smart Grid
data science
algorithms combined
with machine learning
Saving utility companies tens of millions by reducing the need for
additional hardware and/or expensive field based site activity
Initial Use Cases: Asset Maintenance, Asset Protection, Asset
Performance, Sun Flares, Weather events, Hydro/wind/solar impacts
PredictiveGrid™
Assessments & alerts
for pinpoint visibility
Transforming Transmission Operations
9
11. 10Company Confidential
SCADA
PMU
OTHERS
HISTORIAN & PDC’s
Stream
SPS
EMS
OMS
EMS- Energy Management System
SPS- Special Protection Systems
OMS- Outage Management Systems
Ingest Engine
Ingest
Engine
Receives &
processes data
Receives streaming and historical data from multiple
sources and makes it available for analytics
12. 11Company Confidential
Our technology can identify and predict events using existing high fidelity
synchrophasor data without the need for additional hardware sensors
deployments (see appendix)
Classifiers
Anomaly Detection Machine Learning
PhasorSenseTM
Patent-pending technology combines data science, machine
learning, and algorithms to analyze grid specific data
PingThings Predictive Analytics
Actual readings from costly atypical hardware deployed for this specific event
14. PredictiveGrid:GIC
PMU Stream Processing
Typical Hardware requirements to support PingThings Analytics
• Apache Spark Streaming (compute fabric)
• Kafka (message bus)
• Cassandra (time-series persistence)
• nVidia Tesla GPU enabled “deep learning”
• GE Predix™ Machine Enabled
• C37.118.2 Protocol support
• Space Weather Prediction Center Alert Engine
• TPL-007-1 Compliance Assistance
Simple Installation/Integration
13
15. Faster sales cycle
Faster adoption/penetration
• Current collaboration with DOE and interconnect entities (RRO- Regional Reliability
Organizations) that monitor large groups of utilities
Very high value to cost ratio at current expectations from large utilities
• Does not require a system change
• Significantly lower price point than current utility platforms
• Hyper-growth of data can be leveraged with minimal additional costs
Low risk / high reward
• Pure software play requiring no new hardware and independent of existing systems
• Appliance loosely-coupled architecture for easy assimilated plug and play
FERC orders & mandates
• Compliance (geomagnetic disruption / solar flares)
Company Confidential
15
Sales cycle reduced from 3 years to 6 months
