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Unified Ingestion Accelerator

Modernize ingestion with AI-driven ETL, intelligent pipelines, and domain-aware vector optimization.
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I needed a cost-effective transaction monitoring tool which would identify high-risk transactions, flag potential control weaknesses, improve over time through machine learning, reduce the number of false positives reviewed by the compliance team and be user-friendly in terms of configuration and visualization. konaAI delivers on all counts, and I was very pleased with the choice we made.

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Overview

The Unified Ingestion Accelerator modernizes how enterprises bring data into their ecosystems by unifying structured and unstructured ingestion into a single, intelligent workflow. It replaces fragmented pipelines with AI-powered generation, automated optimization, and seamless deployment.

For structured data, it automates the creation and refinement of PySpark, SQL, and Beam pipelines while applying AI-driven reviews to improve performance and correctness. Industry-aligned templates further accelerate time-to-production for critical data domains.

For unstructured data, it delivers multi-modal ingestion across documents, text, logs, and images with built-in vector optimization designed for high-precision retrieval. This ensures every RAG and AI system downstream is powered by clean, contextual, and search-ready enterprise knowledge.

What Does This Do Better Than Others?

Most ingestion tools focus only on structured ETL and require heavy manual engineering. We deliver an AI-native, domain-aware ingestion accelerator built for modern data ecosystems. This accelerator:

Agentic Ingestion Semantic Intelligence

Agentic Ingestion + Semantic Intelligence

Automates 60–80% of ingestion through AI-generated ETL and semantic mapping, while understanding domain context across healthcare, BFSI, manufacturing, and telecom datasets.

Vector-Optimized

Vector-Optimized for RAG & Search

Eliminates retrieval errors through domain-aware vector index tuning that enhances precision for enterprise RAG and knowledge-retrieval systems.


transparency-governance

Full Transparency & Governance

Provides 100% lineage visibility for both structured and unstructured assets, strengthened by human-in-the-loop approvals and medallion architecture alignment.


rapid-deployment

Rapid, Industry-Aligned Deployment

Accelerates implementation through pre-built industry UDMs, DQ rules, and ingestion templates that shorten time to production.



How It Works

Structured Ingestion
uia-how-it-works-left
Unstructured Ingestion
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Tech Stack

• Databricks, PySpark, Spark, Beam

• GCP-native ingestion (Pub/Sub, Dataflow, Composer, BigQuery)

• LLM-driven semantic mapping and code generation

• Vector DBs: Pinecone, Weaviate, FAISS

• Orchestrator agents + Human-in-the-loop governance

• Integrated DQ, privacy masking, CI/CD, and observability

Use Cases

The Unified Ingestion Accelerator is built for diverse, high-scale enterprise environments and adapts seamlessly across modern data platforms.

Cloud & Platform Modernization

Cloud & Platform Modernization

Accelerates cloud migrations from Informatica, Talend, and ADF into GCP, Databricks, and other modern lakehouse ecosystems while standardizing ingestion at scale.

AI, RAG & GenAI Enablement

AI, RAG & GenAI Enablement

Provides high-precision retrieval pipelines and vector-optimized ingestion required for reliable RAG, GenAI, and advanced analytics applications.

Industry-Specific & Regulated Data Flows

Industry-Specific & Regulated Data Flows

Supports healthcare, BFSI, telecom, and manufacturing datasets with pre-built ingestion for HL7, FHIR, FIX, OPC-UA, EHR, and financial statements.

Enterprise Analytics & Core Data Products

Enterprise Analytics & Core Data Products

Powers Customer 360, supply chain analytics, risk and compliance pipelines, and cross-domain data products with consistent, governed ingestion patterns.

If your business runs on data and AI, this accelerator ensures faster, cleaner, and more reliable ingestion across the enterprise.

Business Benefits of Using UIA

  • efficiency

    Operational Efficiency Gains

    Enables 10× faster pipeline creation while reducing migration and ingestion effort by 50–70% through automation and optimized engineering workflows.

  • Stronger Governance & Compliance

    Accelerated Analytics & AI Outcomes

    Delivers 95% AI-ready data with enriched metadata, traceability, and domain-aware vector optimization that significantly lowers hallucination risk.

  • regulatory-confidence

    Stronger Governance & Compliance

    Provides consistent governance with structured approvals, full lineage visibility, and medallion-aligned deployment for regulated enterprise environments.

  • Continuous-Audit

    Continuous Data Reliability

    Ensures high-quality, production-ready pipelines across GCP, Databricks, and Spark workloads through automated tuning and validation.

  • Additional Advantages

    Additional Advantages

    Reduces total cost of ownership by up to 60%, accelerates cloud adoption, and strengthens the foundation for scalable AI and data products.


Ready to accelerate ingestion across structured and unstructured data?

Book a demo and see how Unified Ingestion can upgrade your entire data ecosystem.

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Insights

Frequently Asked Questions

Does this replace my existing ETL tools?

No. It enhances your migration and modernization strategy and automates pipeline creation for cloud-native platforms.

Can it ingest industry-specific file formats?

Yes. Supports HL7, FHIR, FIX, OPC-UA, EHRs, financial statements, IoT data, and more.

How does the unstructured ingestion handle RAG optimization?

 It applies domain-aware chunking, embedding tuning, similarity metric optimization, and automated index rebuilds. 

Does the accelerator support on-prem connectors?

Yes. It connects to on-prem databases, legacy ETL repositories, file systems, and message queues.

Can we integrate our own vector DB or ingestion framework?

Yes. The system is extensible to FAISS, Pinecone, Weaviate, LangChain, and custom ingestion frameworks.

Is human approval mandatory?

Yes. Every pipeline passes through structured human-in-the-loop validation for governance.

How much setup effort is needed?

Setup is light because the accelerator includes templates, starter kits, GCP scripts, blueprints, and DQ rules.