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Top enterprises across the globe trust us with their AI transformation journeys. Meet our customers

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Powerful use cases to enable Enterprise AI Transformation

Data Cleanup
& Organization

Digital Experience
Management

Workflow & Process
Automation

Image & Video Recognition

Capture & create data through audio & video analysis. Classify videos based on enriched metadata such as image / video guidelines and more.

Document Extraction

Identify and extract relevant information from documents using OCR and NLP. This can be done even when the data structure is changed.

Data Cataloging

Create robust data catalogs that are organizable for queries and allow for team members to build their own models over time.

Image & Video Moderation

Automate the process of monitoring and removing content that is inappropriate or of poor quality.

Content Moderation

Using Computer Vision and NLP, create enriched metadata for images and text based on domain-specific taxonomy.


Personalized Content & Recommendations

Using historical data and robust real-time user profiles, predict demand for products and services and optimize resources as well as operational expenditure.

Know Your User

Build dynamic user profiles and understand every user’s unique behavior. This offers you a singular view of your customer across channels and touchpoints.

Targeting & Personalized Promotions

Target any new piece of content to the right cohort of users for maximum engagement. Personalize promotions for new products, services & content based on user profiles.

Lead Qualification & Nurturing

Drive more qualified leads and nurture your leads to faster conversions by user profile enabled lead scoring and sales enablement.

Churn Prevention

Enable higher user retention by facilitating user movement down the conversion funnel - be it onboarding, pre-assessment, or availing services - based on real-time knowledge of every user.


Intelligent Document Processing (IDP)

Leverage AI, along with programmable automation, to convert data extracted from documents into usable, structured formats, and for consumption by downstream systems.

Content & User Onboarding

Onboard & organize content faster using enriched metadata. Automate workflows for user onboarding with quality checks such as text & image moderation.

Why does power up with Blox?

Content, user and process data

Platform design which allows for all kinds of data to talk to each other

Intelligence layer which extracts context and meaning from the data layer

Private marketplace of models across industries to handle a variety of data types & use cases

Modular Application Blocks that allow for varied business solutions to plug & play

Data science hub that allows your teams to build and deploy models

Highly optimised contextual search engines which can assemble content real-time based on live user action

SaaS & On Prem delivery available in hosted and deployed modes

Platform Play for end-to-end deployment

Consultative approach Tech + AI Expertise

Poly cloud architecture deployed across AWS, Azure, GCP

Better Together seamless integration into existing systems

Growth & Revenue

  • More revenue from the same set of customers
  • Increase in LTV
  • Reduction of churn

Optimization & Efficiciency

  • Improved employee productivity and throughput
  • Reduced costs

The Blox Stack

The three layers that unify data, processes and people

Tool & Applications

Data extraction & model building
Content Hub
Audience Hub
DXM
Platform Mgmt Tools
Data Science Hub

Data science & Engineering

Data Extraction
Text Extraction
Image Processing
Personalization
Recommendation
Audience
Workflow Automation
Intelligent Document Processing
SDK
API
Management Plane
Data Science Tools

Platform & Infrastructure

Private Cloud
Public Cloud
Edge

The 3 pillars of Enterprise AI

One Platform. Endless Possibilities.

Plug and play any of these capabilities to solve any business problem

AI Transformation that delivers in weeks, not years

30 days: GO-LIVE
60 days: AI SUCCESS
90 days: GROWTH
The 30-60-90 Framework

Discovery& Scope

  • Identify business use cases
  • Interpret as technical & product problem statements
  • Craft solutions
The 30-60-90 Framework

Solutioning Workshop

  • Understand solution scope
  • Ramp up tech from existing scaffold to deliver
  • Work with customer teams to integrate
The 30-60-90 Framework

Onboarding & Outcomes

  • Ensure stability
  • Enable ease of data access
  • Define clear success metrics
The 30-60-90 Framework

AI Success

  • Monitor & measure performance
  • Track success
  • Nurture growth
  • Build a roadmap
The 30-60-90 Framework

Enhancement & Growth

  • Trigger enhancements & iterations of AI solutions
  • Discover more mission critical challenges to solve and deliver impact for the customer

AI that delivers Impact across industries

50%

Reduction is resource costs

75%

Increased customer retention

10x

Faster go-live through process automation

~25%

Of customer revenue contributed by Blox

30% - 50%

Lift in site wide conversion rate

20$ - 35$

ROI for every 1$ spent of us

40% - 60%

Lift in revenue per visit

85%

Reduced time in data organisation processes

40%

Increase in conversion rate with enriched data

90%

Accuracy in extraction, enabling faster document processing

A Framework for AI Transformation

AI Maturity a measure of an organization’s wholesome ability to implement AI solutions at scale. The key to AI maturity, from exploring AI to transforming with it, is envisioning what that end-state could look like for the bisomess and envisioning a clear path to that vision from the company’s current state.

Get exclusive access to our state of the market report

In conversation with over 100 AI Transformation leaders across industries & geos

Pratik Pal

CEO, Tata Digital

“Tata Neu was built on three pillars - data, supply chain, and omnichannel. Data was the first pillar. We had a customer base of 150 million and 4800 physical touchpoints across the country. We wanted to harmonize all that data in one ecosystem, keeping security and privacy in mind, with utmost importance - and that was how Tata Neu was born.” he added, speaking of the inception of the app and how the data the 150-year-old conglomerate had acquired over the years helped them increase their stronghold in the digital space.

Timo Weis

Associate Vice President, Infosys

“It starts with building a base - breaking down a problem into smaller mini problems, assessing what’s in place and what must be brought together. It all starts with data - bringing all the data together from different sources in one data lake, ensuring they all have a unique identifier. Building a strong base is critical to start the personalization journey. Data will never be 100% correct. Not everything can be perfect, and that’s okay. Even if your data is just 80% perfect, you could still use it for personalization, as long as you deliver benefits and derive results

Venkat Raghavan

Associate Director & Global Head at Tesco

“I think there are two types of issues regarding data reliability - Structural Problems and Human mistakes. We can make rules to control human mistakes, but structural problems are bigger. The entity or individual that owns the data has to ensure that the data is trustable. There should also be somebody who’s unbiased, looking at the data, interpreting it, and presenting it to decision-makers. You get into problems when you lose the sanctity of this chain.”

Powering AI Success Stories Around The Globe

image: Powering AI Success Stories Around The Globe

Talk to an AI Transformation Expert

Looking for something more? Blox.ai specializes in powering AI solutions across domains. Talk to us to understand how you can grow your business and what it means to become AI-native.