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FRACTAL NAMED A LEADER IN


COMPUTER VISION CONSULTING

Fractal named a leader in computer vision consulting

Fractal named a leader in computer vision consulting
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“CUSTOMERS GAVE FRACTAL TOP MARKS ACROSS ALL ITS CAPABILITIES AND HIGHLIGHTED
ITS UNDERSTANDING OF THE BUSINESS NEED, PROJECT MANAGEMENT, AND TECHNICAL
SUPERIORITY,” THE REPORT STATES.

Fractal was named a leader in the Forrester WaveTM: Computer Vision
Consultancies Q4 2020, published by an independent market research company,
Forrester Research. The report assesses emerging technologies and bases its
analysis on a 10-criterion grouped into Current Offering, Strategy, and Market
Presence.

Fractal received a differentiated rating in 6 out of 10 criteria. This included
the criteria of Computer Vision (CV) design and strategy, CV model development,
hardware deployment, solutions & accelerators, engagement success & vision.




Forrester report recommends, to find the right Computer Vision partner,
customers can identify providers that have the “in-house CV experts to develop
CV models from scratch (or customize pre-trained CV models from third parties)
as well as the services to execute the myriad other components of a successful
CV solution or a broader CV strategy.”

Fractal is recognized as a top CV provider in:

 * Demonstrating continuous investment in state-of-the-art CV technology & depth
   in Fractal’s vision to align well with current customer trends and future
   customer needs and ability to source, develop, and retain cutting-edge CV
   talent.
 * Having a differentiated approach in identifying and prioritizing high-value
   computer vision (CV) use cases and defining and refining the strategy as per
   project and client requirements.
 * Showcasing expertise in building technically demanding, customer-facing CV
   solutions.

Fractal was also highly recommended for:

 * Model development
 * Hardware and deployment
 * Engagement success


“COMPUTER VISION IS A RAPIDLY EVOLVING DISCIPLINE AND REQUIRES A GREAT LEVEL OF
INNOVATION AND READINESS TO ADOPT AND MAKE IT WORK TO SOLVE CLIENTS’ BUSINESS
PROBLEMS. I VIEW THIS REPORT AS VALIDATION OF OUR VISION, CONTINUED INNOVATION,
AND STRONG EXECUTION.”

– Pranay Agrawal, Co-founder and CEO of Fractal


FOCUSED ON QUALITY AND SUPERIOR SOLUTIONS

Forrester WaveTM report states, “Fractal knows how to build technically
demanding, customer-facing CV solutions, in part because it has built and
productized its own medical imagery solutions, such as qER, an FDA-approved tool
for identifying cranial anomalies in CT scans, and qXR, which analyzes roughly
20,000 patient X-rays per day.”

Fractal offers a wide range of Computer Vision solutions that include Image &
Video Analytics Platform – IVA – built using proprietary AI enabled algorithms
to deploy real-time AI solutions rapidly on edge or across all cloud platforms
and Qure.ai – a product company, incubated by Fractal, which uses AI & deep
learning techniques to provide an automated interpretation of radiology scans
like X-rays, CTs, and MRI scans. Recently, Qure.ai received FDA® approval for
one of its products and raised $16 million from Sequoia Capital and Mass Mutual
Ventures.

Customers value Fractal, stating:

 * “Quality is the primary driver [for Fractal] — they cut no corners; they do
   not overpromise.”
 * “Fractal heard my request, understood my business need, and provided a far
   superior solution by leveraging their image recognition capabilities.”


CONCLUSION: THE ROAD FORWARD WITH CV

Computer vision is an important area for research and application of deep
learning technologies that requires continual innovation. Fractal has developed
Industry-leading capabilities in computer vision by focusing on building best in
class, innovation-driven solutions for varied problem statements for its
clients.

Fractal will continue to focus on building solutions that bring the latest
computer vision innovations to our clients and help drive impact across various
industries. We will look to leverage innovative deep-learning architectures for
building best-in-class accuracy and agile learning mechanisms like
self-supervised and unsupervised learning for building fast-learning
methodologies in sparse-data environments. The solutions are made to work on
cloud or edge-based environments, using scalable architectures for big data and
real-time processing. Fractal solutions look to bring AI, Engineering and Design
innovations to build holistic solutions for client impact.


USE CASES

 * Gain Visual Insights in Real-Time
 * Discern Actions and Events to Enhance Experiences
 * Segment Images to Reveal Insights
 * Identify Objects with Precision

HOW CAN YOU IMMEDIATELY IDENTIFY PEOPLE OF INTEREST USING REAL-TIME VIDEO FEEDS?

Face recognition can detect and identify faces in real time for use in security
surveillance, attendance management, criminal identification, and more. It can
track people and log their attendance, identify suspicious people, and reveal
insights such as demographic information and facial expressions.




WHAT CAN AI REVEAL ABOUT CUSTOMERS FROM THEIR ACTIONS ON VIDEO?

AI algorithms can automatically identify actions performed in a video to create
better customer experiences. For example, using video to see how a customer
interacts with a product can help manufacturers design better quality products.




HOW CAN AI USE SATELLITE IMAGE DATA TO SOLVE REAL BUSINESS PROBLEMS?

AI-based analytics on satellite images can be used to detect traffic in
real-time, analyze parking lots, and segment buildings. AI can also be used for
business use cases in maritime piracy detection, deforestation detection, and
fire and smoke identification.

CAN INSURERS INSPECT DAMAGED CAR PARTS USING ONLY IMAGE DATA?

Insurers can improve their auto claims estimates by using automated AI image
identification to analyze external damage to cars, identify affected parts, and
detect car brands.

CAN AI DETECT AND ANALYZE ROOFTOP DAMAGE FROM IMAGES?

Using AI algorithms, insurers can detect and assess damage from drone or
satellite images of rooftops. Insurers can offer faster claims processing times
with accurate and repeatable results to provide better customer experiences for
home owners.




HOW CAN CPGS OPTIMIZE ‘SHARE OF SHELF’ USING IMAGE DATA?

Using image analytics, CPGs can see ‘shelf share’ metrics for brands and be
notified if any are out of stock. Analytics can even determine if retailers are
complying with CPG’s ideal product placement on the shelf.

HOW CAN VIDEOS BE ANALYZED TO REVEAL INSIGHTS ON CUSTOMERS AND PRODUCTS?

Detecting and recognizing objects in images and videos can reveal insights that
drive value. Face-recognition systems on real-time video feeds can assist with
security surveillance or managing attendance. AI can also identify brands and
logos to detect specific products in shopping aisles.




REACH OUT TO OUR TEAM AND LEARN ABOUT COMPUTER VISION SOLUTION AND HOW IT CAN
TRANSFORM YOUR ENTERPRISE.

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