We are a IT consulting company providing services to clients across geographies in Data Engineering, AI/ML, Cloud & DevOps, Platform Engineering, and Process Hyper automation.

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Company Profile

2. • Our Leadership team contributed to envisioning the new
DIGITAL India technical innovations. They were part of team
of subject matter experts, providing consulting and
implementation services and working with complex
federal, state, public and private sector organizations.
• Disruption by way of technical excellence is in our DNA.
• Our team of talented, experienced, certified engineers and
Industry partnerships enables us to provide world-class
technology solutions in line with best practices.
• We are a software consulting company providing services to
clients across geographies in Data Engineering, AI/ML, Cloud
& DevOps, Platform Engineering, and Process Hyper
automation.
• Contributing to Intellectual property development is our
key tenet. We have contributed to open-source projects in
Automatic Speech Recognition.
• Our team believes in meaningful disruption that can aid
businesses in getting maximum value in solving their
customer’s core challenges and raising the bar for the
competition.
AboutUs
Purpose : To use our technological
strength to unlock growth through
disruptive innovation.
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3. OurOfferings
Services and Platforms
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4. OurOfferings
Consulting, Design, Implementation, Support and long-term managed services
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5. HyperAutomation–ServicesandPlatform
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Certified Partnerships with
Proc ess disc overy involves using mac hine
learning algorithms to analyze and identify
proc esses suitable for automation.
PROCESS DISCOVERY
AIRA COM IDOR
Using mac hine learning algorithms to
extrac t data from unstruc tured doc uments
suc h as invoic es, c ontrac ts, and rec eipts.
INTELLIGENT DOCUMENT PROCESSING
Using natural language proc essing and
mac hine learning to automate c ustomer
servic e interac tions and provide
personalized c ustomer assistanc e.
CHATBOTS AND VIRTUAL ASSISTANTS
Automating end-to-end business
proc esses, from data c ollec tion to
reporting.
BUSINESS PROCESS MANAGEMENT
Using automation to integrate systems &
applic ations and manage APIs to enable
seamless data exc hange and c ollaboration.
INTEGRATION AND API MANAGEMENT
This involves using automation to ensure
data sec urity and c omplianc e w ith
regulations suc h as GDPR and HIPAA.
SECURITY AND COMPLIANCE
Certified Partnerships

6. Data-Services
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Business Transformation: Embed D&A into
business strategy and c onnec ted data to business
value w ith data maturity assessment and a
roadmap to data monetization.
Data M odernization: Build a resilient and sc alable
data infrastruc ture that leverages new
tec hnologies and inc reases business agility.
AI and Analytics Consulting: Assess the readiness
of data, prioritize c omplex AI use c ases and
expedite ML model deployment to deliver higher
value.
DATA STRATEGY
Data mesh: Domain Ow nership, Data as produc t,
Self Servic e data platform, Federated
c omputational governanc e.
Data Lake
Data Lakehouse
Fast Data (Real-time data streams)
DATA ARCHITECTURE
Data Pipelines:
CD4 ML/ ML engineering (MLOps): St rengthen your
ML mo del lifec yc le management Intelligent
prod uc t s:
Data plat fo rms:
Data Lifec yc le: ac c elerat e time to business value
fo r AI projec ts.
DataOps:
Effec tive enterprise data manag ement and
go vernanc e to reduc e dow ntime and mit ig ate data
risks. Leverage o ur proven Dat aOps servic es to
exp erienc e hig h availability, CI-CD pipelines,
testing, and monitoring o f enterprise d ata
operat ions.
Data Quality
Data go vernanc e
DATA ENGINEERING

7. AI/ML
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PREDICTIVE ANALYTICS
NATURAL LANGUAGE PROCESSING (NLP)
Using mac hine learning algo rithms t o rec o mmend
pro duc t s, servic es, o r c ontent to users b ased o n their
preferenc es and behavior.
RECOMMENDER SYSTEMS
Using mac hine learning algorithms to analyze data
and make predic tions about future events or trends.
Using mac hine learning to understand and analyze
human language, inc luding speec h rec ognition,
sentiment analysis, and text c lassific ation.
Using natural language proc essing to c reate c hatbots
and virtual assistants that c an interac t w ith humans,
answ er questions, and perform tasks.
Using AI to c reate intelligent robots that c an perform
c omplex tasks in various industries, from
manufac turing to healthc are.
Using mac hine learning to analyze and understand
visual data, suc h as images and videos.
COMPUTER VISION
ROBOTICS
CHATBOTS AND VIRTUAL ASSISTANTS
Using mac hine learning t o detec t fraudulent behavior and
prevent financ ial losses.
Using mac hine learning algorithms to identify unusual
pat terns or events in data, w hic h c an help det ec t sec urity
threat s o r prevent equipment failure.
FRAUD DETECTION
ANOMALY DETECTION

8. DevOps
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CONTINUOUS INTEGRATION AND
CONTINUOUS DELIVERY (CI/ CD)
using automation to build, test, and deploy softw are
quic kly and reliably.
using c ode to automate the provisioning and
management of infrastruc ture, suc h as servers and
netw orks.
INFRASTRUCTURE AS CODE (IAC)
using tools to monitor the performanc e and health of
softw are and infrastruc ture, and logging to trac k
events and troubleshoot issues.
MONITORING AND LOGGING
using automation to manage the c onfiguration of
softw are and infrastruc ture, ensuring c onsistenc y and
reduc ing errors.
CONFIGURATION MANAGEMENT
inc orporating sec urity prac tic es into the DevOps
w orkflow , suc h as c ontinuous sec urity testing and
c ode review s.
SECURITY
using tools and proc esses to improve c ollaboration
and c ommunic ation betw een development and
operations teams.
COLLABORATION AND COMMUNICATION
applying agile and lean princ iples to DevOps
prac tic es to improve effic ienc y and quality.
AGILE AND LEAN METHODOLOGIES

9. ApplicationDevelopment
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ENTERPRISE APPLICATION DEVELOPMENT
c reating c ustom applic ations for large organizations
w ith c omplex requirements.
c reating applic ations that are hosted on c loud
infrastruc ture, suc h as AW S, Azure, or Google Cloud
CLOUD APPLICATION DEVELOPMENT
c reating applic ation programming interfac es (APIs)
that enable different softw are applic ations to
c ommunic ate w ith eac h other.
API DEVELOPMENT
c reating w eb-based applic ations that c an be
ac c essed via a w eb brow ser, using programming
languages suc h as HTML, CSS, and JavaSc ript.
WEB DEVELOPMENT
c reating applic ations spec ific ally for mobile devic es,
suc h as smartphones and tablets, for both iOS and
Android platforms.
MOBILE APP DEVELOPMENT
integrating applic ation development w ith DevOps
prac tic es to automate and streamline the
development and deployment proc ess.
DEVOPS INTEGRATION
c reating applic ations that c an be installed and run on
desktop c omputers, using languages suc h as Java,
Python, or C# .
DESKTOP APP DEVELOPMENT

10. Customer
SuccessStories
Excellence in Execution
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11. Hyperautomation
Post Acute Care Industry
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T H I S C O M P A N Y I S W O R K I N G T O E L I M I N A T E 2 0 0 , 0 0 0
M A N U A L H O U R S A Y E A R S P E N T O N A D M I N I S T R A T I V E
W O R K .
Challenge
UiPath in use with the following limitations :
• No automatic recovery is built-in in workflows rendering them
non-resilient.
• The solution becomes costlier as you scale.
• Tech Leads and Architects must think about the scale of each
workflow implementation individually as it is not automatic.
• The reusability of developed workflows needs to be there.
• Developer experience could be better, and the Vendor
partnership model is challenging.
Solution
Black Basil Technologies Team built a new-age platform that :
• Used event-driven architecture.
• Accelerated the development of new workflows and allowed the
reuse of process components for multiple workflows, thereby
saving costs and quicker rollouts.
• The platform comprises of SDK, CLI, APIs, workflow repository
management, and Prebuilt Workflows Governance.
The Platform developed
• Used Kafka for communication.
• Build Platform APIs
• Built connectors for the actual worker using any RPA tool.
• Clear domain boundaries
• Technology: Nodejs, Typescript, Kafka, Conductor, Kubernetes,
AWS, Postgres, Selenium, UiPath, Robocorp, Python
FASTER ROLLOUT OF
WORKFLOWS.
FROM 3-4 MONTHS TO < 1 MONTH
200,000 MANUAL HOURS A YEAR
SAVED
DEVELOPER EFFICIENCY
INCREASED BY 40%
NPS SCORE IMPROVED
BY 5%
The Benefits

12. DataStrategyforAutomationHubPlatform(AutomationConsole)
usingSnowflake.
Post Acute Care Industry
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D A T A S T R A T E G Y
Challenge
• No option for user actions like pause, resume, or stop at the
transaction level.
• Human in the loop is not present..
• No Information analytics.
• Lack of observability at the granular level of the transaction.
• Lack of canonical data layer hence cannot be leveraged for other
purposes like analysis and AI/ML ()
• The system needs to be scalable in line with increased growth.
Solution
Black Basil Technologies Team built a new-age platform that :
• Revamp the entire UI/UX for the best visibility of critical data.
• Transformed the Data strategy and introduced Lakehouse
architecture using Snowflake.
The Lakehouse had three layers:
• Raw
• Canonical
• Business Layers
o API layer
o Analytics layer: Star Schema for Visualization
and slicing and dicing on PowerBI
Technology
• React.js and Node.js as the backend.
• PowerBI for reporting dashboard
• Kubernetes (AWS) for services
• Use of Terraform and Jenkins for infrastructure provisioning and
deployment pipelines
• SonarQube for code quality.
INCREASED DATA LOAD
COMFORTABLY
GRANULAR ANALYTICS IS
POSSIBLE NOW
BETTER DATA GOVERNANCE AND
DATA QUALITY
MORE ADOPTION AS UX
ATTRACTS MANY CLIENTS
The Benefits

13. DevOpsTransformation
Post Acute Care Industry
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C O M P L E T E D E V O P S T R A N S F O R M A T I O N
Challenge
• DevOps was non-existent, all deployments were manual, and No
CI/CD
• No Infra is defined as code-creating issues for deployment
environment creation or account migration.
• Infrastructure non-scalable.
• No Code platform is used for DevSecOps, but provisioning via
this platform is manual.
Solution
Black Basil Technologies Team built a new-age platform that :
• Defined the whole infrastructure as code using Terraform.
• Deployed on scalable infrastructure using Kubernetes.
• Introduced Zero trust security.
• Provided thought leadership in DevOps and built it from scratch
to ensure that the organization emerged as an 'Elite DevOps
performer' based on DORA metrics.
• A web application and related APIs were delivered too.
• Provisioned peripheral components like Kubernetes, Kafka, and
RD.
• Built CI/CD pipelines using CircleCI, infrastructure on
Kubernetes, and AWS using Terraform.
The Platform developed
• Entire infrastructure stack provisioning for Platform 2.0 (using
Terraform)
• Jenkins pipelines for all the Platform 2.0 and 1.0 services and UI
2.0 services.
• Seamless deployments of workflows via Jenkins using workflow
definitions defined as yaml (Phase 1)
• Implement mTLS for internally facing APIs as a step towards Zero
trust.
• Technology: Jenkins, Terraform, Docker, Kubernetes, AWS,
Temporal, Kafka, Node.js, Gradle
SPEED OF DEPLOYMENTS &
INFRASTRUCTURE INCREASED BY
30%
BETTER RELEASE MANAGEMENT
PROCESS
COST REDUCED
BY 30%
ENHANCED SECURITY AND
GAINING CUSTOMER TRUST
The Benefits

14. LeadGenerationandScoring
Real Estate Industry
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A P R O M I S I N G S T A R T U P I N T H E R E A L E S T A T E I N D U S T R Y
P R O V I D I N G L E A D G E N E R A T I O N S O L U T I O N S F O R
B R O K E R S
Challenge
• Low-Quality Leads: There is no way to identify people who are “IN
MARKET,” i.e., looking to transact NOW out of the thousands of
people online.
• Low ROMI (Return on Marketing Investments) as targeting
unqualified prospects who don’t buy due to the cost per click
added up.
• No Competitive Advantage: You may not be the first real estate
agent they find out about when searching for realtors.
• Too Busy to Do it Yourself: Navigating through the ever-changing
marketing landscape and consistently driving new business is
overwhelming. Plus, you’re snowed under by administrative
tasks.
Solution
• Black Basil Technologies build a Lead generation and scoring
system leveraging AI to generate leads before the buyer/seller
shows the intent.
• The system is based on the available property data, individual
digital information, and life events possibly pulled from social
media platforms.
The Platform developed
QUALITY OF LEADS IMPROVED BY 60%
SAVE TIME AND COST BY ABOUT
35%
IMPROVED THEIR “FIRST TO
VIEW” PROPERTIES BY 50%
BEFORE THE COMPETITION
The Benefits
• Technology: Jenkins, Terraform, Docker, Kubernetes, AWS,
Temporal, Kafka, Node.js, Gradle

15. SpeechRecognition(ASR):
Healthcare Industry
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T H I S C O M P A N Y A I M S T O H O S T T H E C R I T I C A L
E S S E N T I A L S F O R A U T O M A T I C S P E E C H R E C O G N I T I O N
( A S R ) T E C H N O L O G Y
Challenge
 Lack of indigenous capability in Indic Languages
 Monopoly by Google/Amazon
 Even Google/Amazon focuses only on the top 5-6 Indian
languages. There needs to be better support for other regional
languages.
 The current ASR models are data-hungry and rely on many
labeled datasets.
 Lack of tools and support for building own ASR models.
 Lack of datasets
Solution
• Build an open-source ASR toolkit that can be used for data
acquisition, data preparation, feature generation, model creation,
and model deployment.
The Platform developed
• Built an end-to-end MLOps pipeline for building datasets and
models for Speech recognition models (Deep Learning)
• Provided thought leadership on data strategy and created
strategies for data acquisition, analysis, filtering, and identification
of audio datasets.
• Technology: AWS Sagemaker, Kubernetes, Airflow, Python,
MongoDB
FOSTERED INNOVATION IN ASR IN
STARTUPS
STATE-OF-THE-ART MODELS
BUILT IN MORE THAN 25
LANGUAGES.
THE LARGE DATASET GENERATED USING AN
INTELLIGENT DATA PIPELINE COULD BE USED
FOR OTHER INNOVATIONS IN SPEECH
RECOGNITION.
The Benefits

16. DeVono/UPMO
Office Booking Application
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A L E A D I N G O F F I C E S P A C E A N D C O M M E R C I A L P R O P E R T Y
C O N S U L T A N T S U P P O R T I N G B U S I N E S S E S A C R O S S U K &
I N T E R N A T I O N A L L Y
Challenge
Lack of a Digital platform where customers could
book offices for the short term, like booking
accommodation on Airbnb.
Solution
 Black Basil Technologies developed an ‘Airbnb’
application using serverless architecture.
 This web application was built using Vue.js for UI
and AWS Functions for the backend, and
DynamoDB for the data store.
 It leverages Algolia for search and Google map
API for visualizing office locations on the map.
The Platform developed
• View Architecture Vision
STRAIGHTFORWARD AND
STREAMLINED OFFICE BOOKING
ON A SHORT-TERM BASIS.
THE COMMISSION REVENUE
INCREASED BY 40%
NEW CUSTOMER VISIBILITY AND
ENGAGEMENT IMPROVED BY 60% HELPING
BUILD CREDIBILITY AND TRUST.
The Benefits

17. CustomerTestimonials
Quality of engagement, commitment and flexibility is valued
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Murali Vivekanandan (CTO)
"Black Basil played a key strategic role in shaping up our new age automation platform's
architecture and collaborated well with our architects, product manager, technical leads and
developers ensuring the platform is designed and delivered well with the right engineering
practices. They provided thought leadership in DevOps, QA Automation and Agile delivery to
ensure that Element5 emerges as an 'Elite DevOps performer' based on DORA metrics. They
also provided the right guidance on building our long-term data strategy by following the Data
Lakehouse architecture. Their tech leadership is never hesitant even in having code pairing
sessions with our developers and are always ready to roll up their sleeves whenever required."
Wisen Tanasa CTO, UPMO (acquired by DeVono):
"Black Basil was engaged to contribute to our office marketplace application
and their consultants contributed to the application since the day they were
onboarded. They became an integral part of the team, contributing quickly to
shipping our front-end features and, most significantly, the integration to
Google Maps."

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Thank you