AI Ready Data Platform

With Augmantis, you can obtain solid foundations for your data to gather insights from your raw and scattered data through business intelligence.
With the AI Data Platform, you can ingest, store, manage, and analyze your data all in one platform in preparation for your AI initiatives.

AI-ready data backbone

Creating the Data Foundation for Enterprise AI

Augmantis helps businesses to convert fragmented data into a consolidated intelligence ready platform. Augmantis' AI-Ready Data Platform includes all aspects of data ingestion, storage, governance, and analytics in a scalable framework. We help companies deal with data silos, improve data quality, and build data sets that can be used in machine learning and Generative AI. Through our offering of the Enterprise AI Data Platform, we help companies derive insights faster, make better decisions, and deploy AI use cases effortlessly.

Enterprise AI data platform

Unify siloed data into a single AI-ready Data Platform

Guarantee data quality and governance across all pipelines

Deploy AI faster with an Enterprise AI Data Platform

AI Data Platform Services for
Business Development

Let us innovate through a tailored AI Data Platform solution, one which caters to the specific requirements of your business.
Augmantis will provide you with a solid foundation of data throughout all phases of the process.

Unified Cloud Lakehouse Architecture

Disrupt enterprise data silos through centralization of both structured and unstructured data on a scalable cloud-based storage platform.

  • Compute & Storage Decoupling
  • Multi-Format Data Handling
  • Single Source of Truth

Automated DataOps & ELT Pipelines

Use smart pipelines to expedite the process of converting data into information that can be queried by your AI systems.

  • Zero-Code Pipeline Generation
  • Incremental Data Loading
  • Version-Controlled Datasets

Active Governance & Quality Control

Developing a trustworthy data foundation involves incorporating quality control measures and stringent security processes at the data level.

  • Automated Lineage & Traceability
  • Proactive Quality & Drift Monitoring
  • Dynamic Security & Access Control

Enterprise Semantic Layer & Knowledge Graphs

Contextualize your business through your AI agents by mapping out complicated data relationships into a comprehensible semantic structure.

  • Agent-Ready Knowledge Graphs
  • Unified Metric Definitions
  • Graph-Powered RAG Integration

Real-Time Event & Telemetry Streaming

Empower independent agents and forecasting models using ultra-high-speed data feeds from throughout your enterprise.

  • High-Throughput Message Brokering
  • Micro-Batch Transformations
  • Event-Driven AI Triggering

Scalable Vector & Multi-Modal Infrastructure

Plan for future advancements in AI by incorporating vector databases and multimodal storage into your data architecture.

  • High-Dimensional Vector Storage
  • Multi-Modal Processing Pipelines
  • Automated Embedding Management
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Drive Enterprise Growth through
Augmantis’ Future-Proof AI Data Infrastructure

Harness the power of complex data with an AI-driven data platform that is ready for the future. With experience in digital transformation, Augmantis empowers organizations to build an AI data infrastructure that ensures actionable insights.

Deriving Value from Augmantis via Integration of Data and AI Platforms

Augmantis creates enterprise-level AI Data Architecture, which interlinks your documents, databases, knowledge bases, and business apps to create a single layer of intelligent foundation. The AI Data Pipeline at Augmantis automates the entire process of gathering, cleaning, governing, and delivering data to AI models, thus ensuring the correctness and contextuality of all insights and responses.

Whether you are creating AI copilots, search platforms, customer support bots, or other AI-based knowledge systems, Augmantis provides enterprise-level solutions in terms of an AI Data Platform.

Integration of data and AI platforms

What We Build — AI in Practice

Explore how Augmantis has helped organizations transform complex business challenges into measurable outcomes through strategic AI consulting, intelligent automation, and data-driven innovation.

Industries We Serve

We go deep in the industries we serve—not wide. Our production AI expertise spans insurance, warranty, healthcare, fintech, retail, automotive, logistics, and beyond.

Healthcare

Innovative Technology for Better Patient Care.

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FinTech

Secure Digital Banking Solutions.

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Insurance

AI Powered Risk Management.

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Supply Chain & Logistics

Optimizing Supply Chain Operations.

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Retail & Ecommerce

Modern Shopping Experience.

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Automotive

Smarter Mobility with AI.

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Edutech

Personalized Learning with AI.

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Transportation

Smarter, Safer & Connected Mobility.

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Restaurant

AI-Powered Dining Experiences.

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Warranty

AI-Driven Warranty Management.

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Real estate 

AI-Enhanced Real Estate Solutions.

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The Delivery Process of Our Proven AI Data Platform Solution

From strategy to implementation, the structured delivery process of Augmantis will ensure a smooth journey with quicker implementations.

Strategy & Roadmap

Assess business objectives, data readiness, and AI potential.

Strategy & Roadmap

Develop a data platform strategy that aligns with business objectives.

Data Preparation

Structure, clean, and prepare enterprise data for AI models.

Architecture Design

Design scalable data platforms that fit your business operations.

Build & Monitor

Develop, deploy, and integrate pipelines within business applications.

Monitor & Optimization

Monitor performance and optimize data for sustained success.

Committed to Helping Businesses Build a Data
Foundation to Ensure Their Success

Learn how over 2,000 organizations have fast-tracked their digitalization with the help of Augmantis' experience in creating
Enterprise Data Platform and AI Data Platform solutions.

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INNOVATE

New Ideas

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DEVELOP

Quality Solutions

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DELIVER

On Time, Every Time

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DRIVE SUCCESS

Business Growth

Accelerators

Augmantis Enterprise AI Data Platform Accelerators for Production

Based on the extensive experience eComStreet has in software development, we provide the following AI Data Platform accelerators, which drastically reduce the engineering effort and implementation time to establish the AI Data Platform. Augmantis data platform accelerators include pre-designed assets, architecture references, and best practices for fast implementation.

  • Develop and implement AI Data Platforms faster with Augmantis.
  • Minimize engineering effort and implementation costs
  • Scalable architectures ready for production use
  • Reusability of data frameworks and enterprise integration
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ACCELERATOR
🚀
AI Data Platform Accelerator

Fast-track adoption of your AI Data Platform with pre-made frameworks, reusable components, and architecture references developed by Augmantis that reduce development time and quicken the release of production-grade solutions.

AGENTIC
🤖
Agentic AI on Your Data Platform

Construct agentic AI agents through Augmantis, which can reason, plan, and orchestrate tools on top of an AI-ready Data Platform, thus automating complex business processes.

RAG
🔍
Enterprise RAG on an AI Data Platform

Develop retrieval-augmented generation (RAG) models, which are built by integrating your large language models with the enterprise AI data platform.

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Are you Ready to Create your Enterprise AI Data Platform using Augmantis?

Book an appointment for a strategic discussion with Augmantis to discuss Scalable AI Data Infrastructure and validate your use case with a proof of Concept.

Frequently Asked Questions

Get answers to common questions about the Augmantis AI-Ready Data Platform and discover how our enterprise AI expertise, backed by eComStreet, helps organizations unify data, improve quality, and deploy AI with confidence.

The AI-ready data platform represents a comprehensive platform that enables collection, storage, cleansing, management, and service of data ready for analysis, machine learning, and generative AI use cases. Instead of multiple platforms and formats, it offers structured and easily accessible data, which is the very backbone of every AI success story.

AI Data Platform resolves the most challenging problem that enterprises have been facing when implementing their AI initiatives – lack of consistency and disparity in the data. This tool gathers data from different sources into one governed layer, processes it automatically, and offers ready-to-use datasets in real-time or batch mode.

In traditional data warehousing, the purpose of the data warehouse is to hold structured data for reporting and analytics. However, in the case of the Enterprise AI Data Platform, there is far more involved than just storing the data. The data stored in the platform may be in structured, semi-structured, or even unstructured form, and real-time processing is enabled along with governance, feature engineering, and machine learning workloads.

Generative AI as well as Agentic AI need quick and efficient access to data that is precise and current. The function of the AI Data Infrastructure is to provide the necessary computing power along with security for a response based on business data. Without the existence of the AI Data Infrastructure, there will be errors in the output produced.

If the proper design of AI Data Architecture takes place, then all the input data for models is going to be well-organized, relevant, and appropriate. With such an approach, data would be ingested, structured, versioned, and managed, which would help avoid any mistakes or biases, reduce model training and inference time, as well as make the results more reproducible.

With the use of AI Data Integration Services, it is possible to unite all of your applications, databases, and external data sources into one unified picture. With Data Engineering Services, it becomes possible to develop and maintain the processes that will help you turn the collected data into information. These two services together can help you become more efficient and save effort.

A data lakehouse is a combination of the features of a lake and a warehouse, creating one place for keeping all the data. A data platform provides scalability, governance, and self-service within the organization. The AI data pipeline facilitates the transfer of data and its preparation for further use to make sure the models get new data inputs. All of these provide the foundation enterprise AI needs.

Augmantis AI is the Artificial Intelligence development division of eComStreet and brings together the expertise of software engineering with that of AI. When designing our data platforms, we consider the AI application from day one and take into account scalability, security, and business impact. This method helps businesses move from data fragmentation to AI deployment efficiently.

First, we should understand your business goals and what data you can work with. Second, we create a modular architecture capable of working within the cloud environment, able to provide scalability and flexibility in terms of handling the increasing amount of data and new AI initiatives without any rework needed. This is made possible through reusable frameworks, pipelines, and proper governance.

Yes. Augmantis AI helps companies analyze their existing systems, bridge gaps where necessary, and migrate their existing data systems into a new, modernized system capable of supporting AI. We take a phased approach, which causes minimal interference with your existing processes while providing cloud-native solutions and improved data quality.

Absolutely. End-to-End AI Data Integration Services & Enterprise Data Engineering Services, such as data ingestion, pipeline development, data transformation, data quality management, and real-time data processing, can be done by Augmantis AI. The above-mentioned services will help you integrate your data with other systems to make it ready for any AI use case.

Security is a feature of every layer of our architecture. Augmantis AI ensures role-based access control, encryption of data at rest and in transit, audit trails, and policies aligned with corporate governance requirements. There are many more areas, such as data privacy and responsible use of AI, which we take into account in order to guarantee the trustworthiness of your AI Data Platform.