1. A Cognitive Computing Company

2. Chatbot
Accure builds Chatbot powered by Momentum
driven AI to conduct conversation via textual
method. This is designed to convincingly simulate
how a human would behave as a conversational
partner. NLP engine in Momentum process the
incoming text and respond appropriately as it’s
trained via Machine learning algorithm within the
Momentum AI platform.

3. Sample Chatbot
screens and
functionalities

4. Dashboard
Before the chatbot begins
the chat, it prompts the user
to provide the necessary
detail to identify the users

5. User chat window
Once the detail is obtained
then chat window begins the
chat

6. Attachment screen
Allow the users to express
their issues via different files.
We have supported so far all
the files mentioned in the
screen

7. Agent side chat window

8. Chatbot AI powered by Momentum
• Expected Query answered by Chatbot as per FAQ
• Based on user’s feedback as a closing statement ML
provides the feedback to Chatbot
• In case, chatbot not able to answer the user’s query human
agent takes over the case and approach user/customer
• Chatbot gets the training via ML algorithm and improves the
query handling capability

9. Introducing
An Autonomous AI Platform

10. What is Momentum
Momentum is a data science platform that puts supercomputing power in
the hands of users to rapidly deploy AI solutions.
Superfast ETL AI & NLP IoT Visualization

11. MOMENTUM Works With Any Data
Geo-Location
(Latitude /
Longitude)
Drones
Satellites
Mobile & Social
Media
Images
IoT SensorsDatabases
Assorted File
Types

12. Realtime images transmitted to Momentum AI
Momentum ’s Deep Insight
detects defects
Triggers actions and alerts
e.g. Separate defective products to different bins
Trigger machine shut off if a calibration issue detected
Electrical and environmental sensors data
Dashboards with KPIs
Momentum reference architecture for IIoT for
Industry 4.0
Various Applications Data

13. Momentum Features to build AI Solutions
Structured
records
Momentum
ETL
Distributed
OCR
MINE
Parser, Rest Client,
DB Import
Direct
Protocol Data Lake
AI and ML
Application & Visualization
Images
Digitized
documents
Integration with
existing system
Integration with
3rd Party Application
UnStructured
records
Various Sensors
& IoT devices
Chatbot
Messages

14. DATA STORAGE
Built for Variety, Volume, Velocity, & Scale
PROCESSING OPTIMIZATION
Data is automatically optimized Scalable Cluster
Design
VISUALIZATION
Visualization does not crash as data size / volume increases

15. 15
SERVICESTECHNOLOGY / PLATFORM
Data
Science
Virtual
or
On-site
suppor
t
Training
Actionable
Insight
End-to-End Support

16. What can you do with Momentum
Data Ingestion
Data Transformation
ML & AI
NLP
IoT
Data Pipeline
Visualization
Integration
Custom Analytics
From multiple data sources: RDBMS, NoSQL, Dropbox, S3 and more
SQL based interface to perform complex transformation over structured and
unstructured data at large scale
AI with automated feature engineering without a single line of code
Text mining and NLP with NER, sentiment, semantic and concept categorization
Highly scalable realtime stream analytics of data from IoT devices and sensors
Automate entire data flow from ingestion to AI to insight using drag-n-drop tools
An integrated visualization engine to see insights on web browser, also works
standalone with several data sources
A single interface to write extension in Java - does not require to learn complex
APIs
Processed data can be sent to several supported external databases to integrate
with other systems

17. Why Momentum
• Auto AI with Momentum does not require data science skill
• AI deployment to production in days and not in months/years
• Save on data wrangling time which is 80% of data science activity
• The most import tasks a data scientist does:
• Feature engineering
• algorithm selection
• hyperparameter tuning
Momentum does it all, automatically.
• Deploy on-premise or cloud

18. What we offer?
Momentum AI platform
AI Advisory
Use case
development
Best practice implementation
Data Science
AI model development
AI Deployment
On premise or cloud
deployment
Custom AI
app development

19. Customers