---
title: Zeblok Computational
---

[![Zeblok Logo_BC Red_transparent](https://info.zeblok.com/hs-fs/hubfs/Zeblok%20Logo_BC%20Red_transparent.png?width=640&height=176&name=Zeblok%20Logo_BC%20Red_transparent.png "Zeblok Logo_BC Red_transparent")](https://info.zeblo.com/home)

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## Search Something!

# Introducing the Ai-MicroCloud®

![Heading (6)](https://info.zeblok.com/hubfs/Heading%20(6).png "Heading (6)")

## Cloud-to-Edge Ai-Application Lifecycle Management to Scale Applied-Ai

- ### Build Once, Run Ai-Anywhere
- ### **Bring Ai-Stack to Data (not the other way around)**
- ### Uniquely comprehensive combination of Infrastructure-as-Code with Ai DevSecOps
- ### **Public Cloud Experience On-Premises & Edge**
- ### Enterprise Ai-AppStore experience
- ### **Pre-aggregated multi-class, multi-cloud Ai-Assets**
- ### Prepackaged Solutions: GenAi Suite, Time-Series, Pattern Miner, Explainable Ai Suite

# Introducing the Ai-MicroCloud®

![Heading (6)](https://info.zeblok.com/hubfs/Heading%20(6).png "Heading (6)")

## Cloud-to-Edge Ai-Application Lifecycle Management to Scale Applied-Ai

- ### Build Once, Run Ai-Anywhere
- ### **Bring Ai-Stack to Data (not the other way around)**
- ### Uniquely comprehensive combination of Infrastructure-as-Code with Ai DevSecOps
- ### **Public Cloud Experience On-Premises & Edge**
- ### Enterprise Ai-AppStore experience
- ### **Pre-aggregated multi-class, multi-cloud Ai-Assets**
- ### Prepackaged Solutions: GenAi Suite, Time-Series, Pattern Miner, Explainable Ai Suite

# Introducing the Ai-MicroCloud®

![Header Image AI-MicroCloud](https://info.zeblok.com/hubfs/Header%20Image%20AI-MicroCloud.png "Header Image AI-MicroCloud")

## Cloud-to-Edge Ai-Application Lifecycle Management to Scale Applied-Ai

- ### Build Once, Run Ai-Anywhere
- ### **Bring Ai-Stack to Data (not the other way around)**
- ### Uniquely comprehensive combination of Infrastructure-as-Code with Ai DevSecOps
- ### **Public Cloud Experience On-Premises & Edge**
- ### Enterprise Ai-AppStore experience
- ### **Pre-aggregated multi-class, multi-cloud Ai-Assets**
- ### Prepackaged Solutions: GenAi Suite, Time-Series, Pattern Miner, Explainable Ai Suite

# Better Machine Learning Operations

Automation via speech recognition, natural language processing based chatbots, and sentiment analysis are core to delivering better consumer experiences and improving business operations. Generative Ai is transforming user experiences for enterprises. Advanced personalization and improved decision-making have become foundational to enterprises.

 Get Started Now!

![Better Machine Learning Thumbnail](https://info.zeblok.com/hs-fs/hubfs/Better%20Machine%20Learning%20Thumbnail.png?width=748&height=962&name=Better%20Machine%20Learning%20Thumbnail.png "Better Machine Learning Thumbnail")

0

Faster provisioning on Hyperscalers

0

Faster provisioning on Bare Metal servers.

0

Time to initial RAG LLM use case

> ## Zeblok Computational delivers long-term value by helping our customers and partners build products powered by Artificial Intelligence.

![Mouli Narayanan Headshot](https://info.zeblok.com/hs-fs/hubfs/Mouli%20Narayanan%20Headshot.jpeg?width=60&height=60&name=Mouli%20Narayanan%20Headshot.jpeg) Mouli Narayanan Zeblok Computational Founder & CEO

# Trusted by Leading Ai Technology Companies

![Autonomy Institute Logo](https://info.zeblok.com/hs-fs/hubfs/Autonomy%20Institute%20Logo.png?width=220&height=50&name=Autonomy%20Institute%20Logo.png)

![Edjx Logo](https://info.zeblok.com/hs-fs/hubfs/Edjx%20Logo.png?width=108&height=50&name=Edjx%20Logo.png)

![Advantech_logo](https://info.zeblok.com/hs-fs/hubfs/Advantech_logo.png?width=240&height=50&name=Advantech_logo.png)

![ATC logo](https://info.zeblok.com/hs-fs/hubfs/ATC%20logo.jpg?width=133&height=75&name=ATC%20logo.jpg)

![BlueStar logo transparent](https://info.zeblok.com/hs-fs/hubfs/BlueStar%20logo%20transparent.png?width=294&height=220&name=BlueStar%20logo%20transparent.png)

![Nvidia](https://info.zeblok.com/hs-fs/hubfs/image5.png?width=160&height=31&name=image5.png)

![Mflow](https://info.zeblok.com/hs-fs/hubfs/3CFECD00-C958-4258-B707-AF0A0242C976_4_5005_c-jpeg.jpeg?width=136&height=50&name=3CFECD00-C958-4258-B707-AF0A0242C976_4_5005_c-jpeg.jpeg)

![Super_Micro_Computer_Logo.svg](https://info.zeblok.com/hs-fs/hubfs/Super_Micro_Computer_Logo.svg.png?width=142&height=75&name=Super_Micro_Computer_Logo.svg.png)

![VY Corporation vycorp](https://info.zeblok.com/hs-fs/hubfs/VY%20Corporation%20vycorp.jpeg?width=100&height=100&name=VY%20Corporation%20vycorp.jpeg)

![72EAC9F1-40A8-41BD-942D-461FF8A5A8F4](https://info.zeblok.com/hs-fs/hubfs/72EAC9F1-40A8-41BD-942D-461FF8A5A8F4.png?width=286&height=150&name=72EAC9F1-40A8-41BD-942D-461FF8A5A8F4.png)

![image9](https://info.zeblok.com/hs-fs/hubfs/image9.png?width=183&height=51&name=image9.png)

![CoreStack](https://info.zeblok.com/hs-fs/hubfs/CoreStack.jpeg?width=200&height=50&name=CoreStack.jpeg)

![Intel](https://info.zeblok.com/hs-fs/hubfs/Intel.jpeg?width=123&height=50&name=Intel.jpeg)

![graymatics](https://info.zeblok.com/hs-fs/hubfs/graymatics.png?width=150&height=150&name=graymatics.png)

![PhoenixNAP Logo](https://info.zeblok.com/hs-fs/hubfs/PhoenixNAP%20Logo.png?width=266&height=50&name=PhoenixNAP%20Logo.png)

![Akai Kaeru Logo](https://info.zeblok.com/hs-fs/hubfs/Akai%20Kaeru%20Logo.png?width=156&height=50&name=Akai%20Kaeru%20Logo.png)

![CEWIT](https://info.zeblok.com/hs-fs/hubfs/CEWIT.png?width=252&height=50&name=CEWIT.png)

![VSBLTY WHite Text](https://info.zeblok.com/hs-fs/hubfs/VSBLTY%20WHite%20Text.png?width=167&height=50&name=VSBLTY%20WHite%20Text.png)

![Stonybrook University](https://info.zeblok.com/hs-fs/hubfs/Stonybrook%20University.jpeg?width=136&height=50&name=Stonybrook%20University.jpeg)

![arrow-electronics-logo](https://info.zeblok.com/hs-fs/hubfs/arrow-electronics-logo.png?width=128&height=50&name=arrow-electronics-logo.png)

![Microsoft_Azure_Logo.svg](https://info.zeblok.com/hs-fs/hubfs/Microsoft_Azure_Logo.svg.png?width=173&height=50&name=Microsoft_Azure_Logo.svg.png)

# Mind the AI-Gap!

![Ai-MicroCloud Icons (10)](https://info.zeblok.com/hs-fs/hubfs/Ai-MicroCloud%20Icons%20(10).png?width=120&height=98&name=Ai-MicroCloud%20Icons%20(10).png "Ai-MicroCloud Icons (10)")

# Barriers to Scaling Applied Ai

#### Platform Gap

![Ai-MicroCloud Icons (5)](https://info.zeblok.com/hs-fs/hubfs/Ai-MicroCloud%20Icons%20(5).png?width=2212&height=2331&name=Ai-MicroCloud%20Icons%20(5).png)

#### Application Gap

Enterprise AI development teams need comprehensive lifecycle management across multi-class, multi-model ecosystems.

 

![Ai-MicroCloud Icons (6)](https://info.zeblok.com/hs-fs/hubfs/Ai-MicroCloud%20Icons%20(6).png?width=2119&height=2103&name=Ai-MicroCloud%20Icons%20(6).png)

#### Integration Gap

Enterprise AI needs secure model serving, strict compliance, and deployment of AI models across different environments.

Simplicity and consistency across heterogenous environments are critical to developer success.

![Platform](https://info.zeblok.com/hs-fs/hubfs/Ai-MicroCloud%20Icons%20(4).png?width=1697&height=1819&name=Ai-MicroCloud%20Icons%20(4).png)

#### Platform Gap

Limited choices force enterprises to move their data close to the AI stack of large hyperscalers for training and inference resulting in lock-in, data risk, wasted infrastructure and dev ops investments, and inability to access to discontinued GPUs.

Businesses need to move AI Stack to their data as opposed to other way around.

![Ai-MicroCloud Icons (5)](https://info.zeblok.com/hs-fs/hubfs/Ai-MicroCloud%20Icons%20(5).png?width=2212&height=2331&name=Ai-MicroCloud%20Icons%20(5).png)

#### Application Gap

AI developers want plug n' play AI frameworks to rapidly build ML applications like AI-driven search, chatbots, AI-driven insights, descriptive analytics and predictive analytics.

Enterprise AI developer teams need comprehensive lifecycle management across multi-class, multi-modal, multi-cloud ecosystems.

![Ai-MicroCloud Icons (6)](https://info.zeblok.com/hs-fs/hubfs/Ai-MicroCloud%20Icons%20(6).png?width=2119&height=2103&name=Ai-MicroCloud%20Icons%20(6).png)

#### Integration Gap

Integrating Ai inferences to applications and business processes requires ability to aggregate data, and to train and release multi-class Ai assets (vision, NLP, LLM, voice, traditional ML/DL) as Ai-APIs.

Enterprise Ai needs secure model serving, strict compliance, and deployment of AI models across different environments.

![Ai-MicroCloud Icons (7)](https://info.zeblok.com/hs-fs/hubfs/Ai-MicroCloud%20Icons%20(7).png?width=3197&height=3069&name=Ai-MicroCloud%20Icons%20(7).png)

#### Usability Gap

Enterprises want public cloud-like experiences across hybrid-cloud, on-premises, and cloud-to-edge. Easy to adopt, simple to use, scalable environments are needed to allocate resources, package inferences, and securely distribute software.

Simplicity and consistency across heterogenous environments are critical to developer success.

# A Powerful Platform to Build, Fine-Tune and Deploy Ai-Models at Scale

- Productivity
- Composability
- Portability
- Scalability

Productivity Composability Portability Scalability

## PRODUCTIVITY

Ai-MicroCloud® uniquely combines Ai-Model operations and Infrastructure-as-Code to create a comprehensive Ai software lifecycle management platform.

- Accelerate model development
- Reduce modeling costs
- Improve modeler productivity
- Streamline and automate using Infrastructure-as-Code
- Build better models, faster

With Zeblok, IT becomes low-touch and fully automated, enabling multi-disciplinary teams to collaborate and increase reuse, resulting in increased organizational productivity.

 Try the Playground

![PRODUCTIVITY_WEBSITER with spacer-1](https://info.zeblok.com/hs-fs/hubfs/PRODUCTIVITY_WEBSITER%20with%20spacer-1.png?width=2000&name=PRODUCTIVITY_WEBSITER%20with%20spacer-1.png)

## COMPOSABILITY

Ai-MicroCloud manages composable components and resources. With Plug n' Play ISV capabilities, the platform is extensible across any Ai use case and workload from Cloud Services Providers to Enterprise AI

- Composable components
- Plug n' Play ISVs
- Composable components
- Composable resources
- Static & dynamic allocation

With cloud-to-edge support, Ai-MicroCloud® orchestrates the entire, end-to-end MLOps process from containers, to static and dynamic allocation of compute resources.

[Try the Playground](https://www.zeblok.com/playground)

![COMPOSABILITY_WEBSITE with spacer](https://info.zeblok.com/hs-fs/hubfs/COMPOSABILITY_WEBSITE%20with%20spacer.png?width=2000&name=COMPOSABILITY_WEBSITE%20with%20spacer.png)

## PORTABILITY

Streamlined automation accelerates  provisioning across hybrid, multi-cloud and bare metal in minutes instead of hours and days.

- Provision in less than 15 minutes across any hyperscaler
- Provision in less than 30 minutes on bare metal servers
- Zero cloud or infrastructure skills needed
- Cloud native portability across any public or private cloud
- Bring DL & ML DevSecOps platform to your data, instead of other way around.

With automation and streamlined workflows, no cloud or infrastructure skills are needed to increase efficiency, control rising cloud spending, and enhance security, allowing greater flexibility and improved resource allocation on development and analysis.

[Try the Playground](https://www.zeblok.com/playground)

![PORTABILITY_WEBSITE with spacer](https://info.zeblok.com/hs-fs/hubfs/PORTABILITY_WEBSITE%20with%20spacer.png?height=2000&name=PORTABILITY_WEBSITE%20with%20spacer.png)

## SCALABILITY

Ai-MicroCloud® autoscales for HOC fine-tuning workloads saving critical resources for training experiment pipelines and Ai-inference workloads.

- Provision, manage and monitor 1000s of cloud-to-edge Ai locations
- Ai Deployment-as-a-Service
- Hybrid, hyperscaler, or on-premises
- Auto-scaling for HPC workloads
- Ai Tuning-as-a-Service

The platform also scales out secure AI-APIs, and can deploy Ai-inference engines to 1000s of locations with minimal manual effort, saving time, resources, and stretching the reach of Ai-inferences and LLMs everywhere.

[Try the Playground](https://www.zeblok.com/playground)

![SCALABILITY_WEBSITE with spacer](https://info.zeblok.com/hs-fs/hubfs/SCALABILITY_WEBSITE%20with%20spacer.png?height=2000&name=SCALABILITY_WEBSITE%20with%20spacer.png)

## Ai-MicroCloud® Platform Features

# Ai-MicroCloud® Platform Features

![Ai-MicroCloud Icons (13)](https://info.zeblok.com/hs-fs/hubfs/Ai-MicroCloud%20Icons%20(13).png?width=42&height=42&name=Ai-MicroCloud%20Icons%20(13).png)

#### LAUNCH

Zero touch infrastructure provisioning.

![Docker icon_red](https://info.zeblok.com/hs-fs/hubfs/Docker%20icon_red.png?width=42&height=42&name=Docker%20icon_red.png)

#### IMPORT

Third Party or Home Grown Docker applications / Notebooks. 

![Aggregate iscon_red](https://info.zeblok.com/hs-fs/hubfs/Aggregate%20iscon_red.png?width=42&height=42&name=Aggregate%20iscon_red.png)

#### AGGREGATE

Third Party or Open Source components as managed services. 

![Jumpstart icon Red](https://info.zeblok.com/hs-fs/hubfs/Jumpstart%20icon%20Red.png?width=42&height=42&name=Jumpstart%20icon%20Red.png)

#### JUMPSTART

Productive model HUB. Import Foundational Models. 

![Playground Icon Red](https://info.zeblok.com/hs-fs/hubfs/Playground%20Icon%20Red.png?width=42&height=42&name=Playground%20Icon%20Red.png)

#### PLAYGROUND

Rapidly load data, prototype and test in Jupiter notebooks.

![](https://info.zeblok.com/hubfs/raw_assets/public/@marketplace/webdew/Dew_Lite/images/service-icon-six.svg)

#### COLLABORATE

Multiple roles. Snapshot work and share.

![](https://info.zeblok.com/hubfs/raw_assets/public/@marketplace/webdew/Dew_Lite/images/service-icon-six.svg)

#### BUILD

Workstation, also known as Studio environment for model training.

![](https://info.zeblok.com/hubfs/raw_assets/public/@marketplace/webdew/Dew_Lite/images/service-icon-six.svg)

#### ORCHESTRATE

Workloads on to CPUs/GPUs with vertical and horizontal scaling.

![](https://info.zeblok.com/hubfs/raw_assets/public/@marketplace/webdew/Dew_Lite/images/service-icon-six.svg)

#### COMPOSE

Static and dynamic resource plans. CLI generates containers.

![](https://info.zeblok.com/hubfs/raw_assets/public/@marketplace/webdew/Dew_Lite/images/service-icon-six.svg)

#### DEPLOY

Microservices, Workstations, APIs and Pipeline jobs.

![](https://info.zeblok.com/hubfs/raw_assets/public/@marketplace/webdew/Dew_Lite/images/service-icon-six.svg)

#### DATA

Drag n' drop into object or block store abstractions for training.

![](https://info.zeblok.com/hubfs/raw_assets/public/@marketplace/webdew/Dew_Lite/images/service-icon-six.svg)

#### AUTOMATE

Python power users use SDO and CLI to automate end-to-end pipelines.

# Ai-MicroCloud® Products

## Ai.Domain.Copilot

![Ai Copilot Screenshots with text with spacer-1](https://info.zeblok.com/hs-fs/hubfs/Ai%20Copilot%20Screenshots%20with%20text%20with%20spacer-1.png?width=621&height=714&name=Ai%20Copilot%20Screenshots%20with%20text%20with%20spacer-1.png "Ai Copilot Screenshots with text with spacer-1")

*For Analysts, Modelers and End Users. Drag n' drop user experience to create domain adapted chat and search. Bring the Gen-Ai stack to data. Fine-tune Ai Anywhere. Run Ai-Anywhere from cloud-to-edge.*

### For rapid domain adaptation using smaller Language Models in use cases such as chat & search. Based on Gen-Ai using foundational models such as Llama and Mistral.

- ### Enhanced contextual understanding in chats & searches
  
  Retrieval augmented fine-tuning approach enhances the system's ability to comprehend and respond to queries in a contextually relevant manner, thereby improving the overall quality of responses, while utilizing smaller model sizes
- ### Domain adaptation capabilities in chats &  searches
  
  Retrieval augmented Fine-Tuning rapid adaptability to different domains empowers the system to provide accurate and domain specific answers, making it a valuable too for addressing diverse business and knowledge domains, while using smaller model sizes
- ### Fine grained knowledge integration in searches
  
  Integration of domain specific knowledge into retrieval augmented fine-tuning generation process ensures that responses are enriched with relevant and detailed information that caters to the specific end user requirements.

 Schedule a Demo

## Ai.Domain.Copilot Features

#### Synthetic Data Generator

Generate Q&A and Chain-of-Thought (CoT) context from a collection of documents and other data sources. Synthetic data case be used for further testing or training. 

#### Multiple Knowledge Sources

Go beyond PDFs, and include websites, SQL and NOSQL databases for context and prompting. Diversify sources of knowledge for inclusion as context in search and chat.

#### Plug n' Play for Rapid Productivity

Plug in vector store, object store, ML Ops engine, knowledge graphs, other foundational models, etc. to rapidly improve productivity and ease of deployment.

#### Optimized Retrieval Augmented Generation

Faster Retrieval Augmented Generation (RAG) on knowledge context using smaller models by utilizing synthetic data generator.

#### Domain-Tuned Model

Generate parameter efficient Fine-Tuned domain models built on Llama2 and Mistral for improved context relevance on domain centric use cases. (Coming soon)

#### Automation Framework

Operationalize deep learning by creating end-to-end pipelines from synthetic data generation to fully deployed chat and search applications.

## Ai.Domain.Copilot Benefits

#### Fast Performance

Load thousands of documents for Chain of Thought (CoT) extractions and Q&A prompts. Scale to multi GPU/CPU/xPU for workloads with smaller units of work called Ai-Microservices. Vector store, embedding creation, retrieval via chat etc. can be independently scaled up.

#### Fast Benchmarking

Rapidly benchmark performance for both embedding creation and retrieval on different "resource" plans regardless of whether the workload run on-premise or public cloud environments.

#### Improved Productivity

Rapidly build enterprise context aware search and chat applications and integrate into existing product portfolios. Ai-MicroCloud® becomes an Ai-analytics engine that enables integration of Ai-APIs into existing portfolio of applications.

#### Energy Consumption

Chain-of-Thought (CoT) reasoning and multi-layered training utilizing domain data allows inference workloads to run on a smaller footprint of GPUs and/or CPUs. We owe it to the world to be more energy efficient!

#### Lower Total Cost of Ownership

Realize significant cost savings from productivity improvements, mix and match choices of on-premises servers, cloud operators, and discount GPU cloud operators, and running RAG use cases on smaller language models. Benefits from portability and hybrid clouds.

#### Zero Vendor Lock-in

Zero Azure or AWS skills needed if running on hyperscalers. Ai-MicroCloud® brings Gen-Ai stack closer to the data, wherever it may be. Seamlessly move workloads between on-premises, opinionated cloud, hypersclaers and edge data centers.

 Schedule a Demo

## Ai.Guard.Rail

![Ai Guardrails Dual_website](https://info.zeblok.com/hs-fs/hubfs/Ai%20Guardrails%20Dual_website.png?width=2000&height=1570&name=Ai%20Guardrails%20Dual_website.png "Ai Guardrails Dual_website")

*For Testers, Analysts and Modelers. Integrates ISV partner capabilities with Ai-MicroCloud® and Ai.Domain.Copilot. Bring the Gen-Ai stack to data. Test Generative-Ai Anywhere.*

### For enabling Testing Framework with evaluators and synthetic data generation for variety of testing scenarios while building enterprise chat and search applications.

- ### Real-world simulations when using LLMs
  
  Chain-of-Thought (CoT) and synthetic data generation using real world domain documents is complex. Enterprises do not have effective test strategies to apply against language models.
- ### Address scale, complexity and dynamic nature
  
  Retrieval augmented Fine-Tuning use case developed typically to produce non-deterministic responses. Adversarial testing and stress testing with domain generated data requires handling for scale and complexity.
- ### Test-cases, HUB, and evaluation metrics
  
  Aggregation of model testcases, model scoring consistency, evaluating LLM performance in specific use cases like chatbots are important for their practical utility and effectiveness over long periods of time.

 Schedule a Demo

## Ai.Guard.Rail Features

#### CoT and O&A Generation

Generate Q&A prompts as test cases for adversarial and stress testing scenarios for LLMs.

#### Evaluators

"Do no Harm" evaluators from our ISV partner Patronus.ai for PII, toxicity, EU-law, Copyright.

#### Model Scoring

Consistently generate model evaluation metrics using our ISV partner Patronus.ai

#### Playgrounds

Knowledge context validators with hyper parameter tuning for few shot prompting on language models and knowledge context testing.

#### Testing on Domain-Tuned Models

Generate data. Complete domain adaptation. Test, fine-tune, incorporate and close the loop. (Coming soon)

#### Test Automation Framework

Automate using SDK. Script end-t0-end pipelines from synthetic data generation to fully deployed RAG for testing purposes.

## Ai.Rover

![Ai Rover Screenshotes_website](https://info.zeblok.com/hs-fs/hubfs/Ai%20Rover%20Screenshotes_website.png?width=2000&height=1604&name=Ai%20Rover%20Screenshotes_website.png "Ai Rover Screenshotes_website")

*For Testers, Analysts and Modelers. Can be tailored for End Users. Drag n' Drop user experience for descriptive analytics. Bring the Ai-Stack to Data. Mine for patterns in high dimensional data anywhere.*

### For descriptive analytics, feature mining, structured data comprehension and visualization. No-Code Analyst providing explainability on high dimensional data sets and to DNNs.

<https://youtu.be/-3mT5GywPN8?si=pHsgG7l2JeOIIu5r&t=16>

 Schedule a Demo

## Ai.Rover Features

#### Model - Less

Statistical analysis using an ensemble of algorithms with powerful data visualization capabilities.

#### No-Code Low-Code Analyst

Self discover of multi-variate patterns in high dimensional structured data spaces.

#### Pattern Miner

Load variety of datasets instantly start pattern mining and visualizations to understand correlations and causes.

#### Plug N' Play

Plug in ML models, logistic regression, etc. for additional inferencing on the datasets.

#### Testing on Domain-Tuned Models

Generate data, domain adaptation, testing, and closing the loop on RAG adaptation. (Coming soon)

#### Descriptive to Predictive

Start with descriptive analytics to identify features and link it to AutoML. (Coming soon)

# Ai-MicroCloud® Solutions

 Filtered Portfolio Gallery

- All
- Banking & Fintech
- Manufacturing
- Intelligent Infrastucture

![Fraud Detection](https://info.zeblok.com/hubfs/Fraud%20Detection.png)

## Fraud Detection & Prevention

 Quickly and accurately analyze large volumes of financial data. ML algorithms can learn from historical financial transactions, spotting patterns, making predictions.

![Risk Assessment](https://info.zeblok.com/hubfs/Heading%20(2).png)

## Insurance & Risk Assessment

 Machine Learning algorithms enable more accurate and efficient risk assessments. Lowering human error, increasing speed, and analyzing vast amounts of data from multiple sources is transforming insurance.

![LLM and Gen Ai Chatbots](https://info.zeblok.com/hubfs/Heading%20(4).png)

## LLM and Generative Ai Powered Chatbots

 LLM and Generative Ai powered chatbots provide 24/7 personalized support, financial advice, routine inquiry management, and in-depthanalysis frees up human resources to focus on complex requests.

![Predictive Maintenance](https://info.zeblok.com/hubfs/Predictive%20Maintenance.png)

## Predictive Maintenance

 AI can analyze equipment data to anticipate potential faults and optimize maintenance schedules, which can reduce downtime and increase operational efficiency. Scaling the use of powerful analytical engines, ML can lower infrastructure maintenance costs and risks.

![Augmented Reality Manufacturing](https://info.zeblok.com/hubfs/Augmented%20Reality%20Manufacturing.png)

## Digital Twins in Manufacturing

 Generative Ai enables creation of digital twins - virtual replicas of physical assets of processes. Using real-time data analysis from sensors, manufacturers create accurate digital representations of products, production, or whole factories.

![Connected Factories](https://info.zeblok.com/hubfs/Connected%20Factories.png)

## Connected Factories

 Connected factories incorporate Ai into production process to build intelligent, network ecosystems and smart factories. Ai-driven linked factories lower costs, increase efficiency, and right size production through adaptive manufacturing ecosystems adjusting to changing market demands.

![Autonomous Systems](https://info.zeblok.com/hubfs/Heading%20(5).png)

## Autonomous Systems and Infrastructure

 Autonomous Intelligent Infrastructure requires deployment of new ML-driven systems such as scalable edge networks, low-latency, secure wireless position-navigation systems, situational sensors (radars, Lidar, sonar, cameras), and edge ingestion through computer vision, NLP and other methods.

![Ai Copilot Screenshots with text with spacer-1](https://info.zeblok.com/hs-fs/hubfs/Ai%20Copilot%20Screenshots%20with%20text%20with%20spacer-1.png?width=621&height=714&name=Ai%20Copilot%20Screenshots%20with%20text%20with%20spacer-1.png "Ai Copilot Screenshots with text with spacer-1")

### Full Control over Global Section

 The dew Free Theme gives the access to edit your global module as per your requirement. Colour, paddling, toggle, content, etc., can be updated as per your own needs.

### Leverage the Power of Responsive Design

 Depending on the screen size and orientation of the device, page elements reshuffle themselves, and easily adjusted for different-sized screens and viewports especially ideal for mobile viewing.

 Some of our experts work in:

![Logo-image](https://info.zeblok.com/hubfs/raw_assets/public/@marketplace/webdew/Dew_Lite/images/Logo-ones.svg "Logo-image")

![Logo-image](https://info.zeblok.com/hubfs/raw_assets/public/@marketplace/webdew/Dew_Lite/images/Logo-twos.svg "Logo-image")

![Logo-image](https://info.zeblok.com/hubfs/raw_assets/public/@marketplace/webdew/Dew_Lite/images/Logo-threes.svg "Logo-image")

<https://www.youtube.com/embed/JkNYYnM2Wkw>

## Create the Website of your Dream with Zero Coding Experience

![Image Placeholder](https://info.zeblok.com/hs-fs/hubfs/raw_assets/public/@marketplace/webdew/Dew_Lite/images/screenshot.gif?width=605&height=451&name=screenshot.gif "Image Placeholder")

- #### Support Multiple Language Versions
  
  With a page speed score of 92%, the theme has optimized code and image compression to help your website load quickly.
- #### Trendy Design with Drag n Drop Module
  
  dew Free Theme has been designed while keep marketers in mind to offer maximum features with no-code approach.
- #### Cross Browser Tested
  
  Recent surveys have indicated that small businesses recognise the need they have to connect with consumer

# Resources

## Zeblok-Ai Digital Foundations Blog

[View All](https://info.zeblok.com/blog?hsLang=en)

[![](https://info.zeblok.com/hs-fs/hubfs/Header%20Image%20Intelligent%20Infrastructure%20.png?width=352&name=Header%20Image%20Intelligent%20Infrastructure%20.png)](https://info.zeblok.com/blog/digital-foundation-for-intelligent-infrastructure-part-i-new-economy-brain?hsLang=en)

### Digital Foundation for Intelligent Infrastructure Part I New Economy Brain

[![Cloud to Edge and On-remise Abstraction](https://info.zeblok.com/hs-fs/hubfs/Screen%20Shot%202023-05-25%20at%2010.28.37%20PM.png?width=352&name=Screen%20Shot%202023-05-25%20at%2010.28.37%20PM.png)](https://info.zeblok.com/blog/cios-should-plan-for-multi-cloud-and-on-premise-abstraction?hsLang=en)

### CIOs should plan for multi-cloud and on-premise abstraction

# Zeblok Media Library

Ai-MicroCloud® Demos

![Retrieval Augmented Generation (RAG) Chatbot with Zeblok Ai-MicroCloud®](http://img.youtube.com/vi/CLq8T5i8WKw/maxresdefault.jpg "Retrieval Augmented Generation (RAG) Chatbot with Zeblok Ai-MicroCloud®")

![Ai-MicroCloud®️ Ai Rover](http://img.youtube.com/vi/-3mT5GywPN8/maxresdefault.jpg "Ai-MicroCloud®️ Ai Rover")

![Ai-MicroCloud and Intel SceneScape](http://img.youtube.com/vi/-_gumRgw0Zs/maxresdefault.jpg "Ai-MicroCloud and Intel SceneScape")

## Frequently Asked Questions

#### What’s different about the dew Free Theme?

With 100% customizable modules and pages, creating a website is now easier more than ever. Wide range of page templates, powerful page builder tool makes dew a perfect choice. Mobile optimized page layouts that dew Free offers, will definitely make it your favorite.

#### Benefits of choosing dew Free Theme?

With dew Free themes, you can easily create world class websites,landing pages and blogs without any help from web developers. User-friendly, customizable and full of premium features. Offers simple content management and SEO recommendations too.

#### Is the dew Free Theme beneficial for small-scale business?

 Absolutely. dew Free theme is highly customizable, data driven and with drag and drop editor you don’t require any help from the developer. Even a layman can work with dew Free themes. Pre-built layouts and configuration will help you build a world-class website.

#### Is the dew Free Theme easy to install?

Yes! dew Free theme installation, configuration and customization takes place via a user friendly interface, where you need not to write any code, hence making it very easy to install it.

#### Is customer support available?

 Yes. Customer support is available 24X7

### Contact Us

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