Inceptez | Enterprise Data Engineering & Generative AI Platform

Pillar 1: Products

Intelligent AI Agents

Deploy autonomous agents like Resumify and JobPoster to revolutionize your recruitment and enterprise workflows.

Explore Products

Pillar 2: Solutions

Enterprise Security Solutions

SOC2 compliant architectures, Private VPC deployments, and real-time fraud detection for FinTech at scale.

View Solutions

Pillar 3: Training

Inceptez Academy

Upskill your workforce with industry-leading curriculum in Generative AI, Data Engineering, and MLOps.

Browse Catalog

Pillar 4: Datacenter

Indegenius Private Cloud

Sovereign, on-premise AI infrastructure with liquid-cooled racks and zero data egress for maximum security.

Discover Private Cloud

Pillar 5: Tools

Developer Tools

Accelerate development with SparkOpt Memory configurator and our rapid Py-SQL Converter.

Try Tools Now

Inceptez Engine 2.0 Now Available

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Industry Solutions

Enterprise security. Consumer simplicity.

We bridge the gap between rigorous enterprise governance and the ease of modern consumer apps. Deploy LLMs inside your VPC with complete control.

On-Premise Sovereign Cloud

Indegenius Private Cloud

Stop renting hardware. Own your AI infrastructure. Our custom-built, liquid-cooled racks bring hyperscale performance to your private data center with zero data egress.

Real-time Anomaly Detection Active

SOC2 Type II Compliant

Full audit trails and enterprise-grade encryption for all data in transit and at rest.
Private VPC Deployment

Deploy our models entirely within your cloud environment (AWS, Azure, GCP). No data leaves your perimeter.
Role-Based Access Control

Granular permissions for datasets, models, and API keys. Integration with Okta and Active Directory.

Read the Security Whitepaper

Agentic RAG Architecture

Enterprise-grade flow for autonomous decision making

Input

User Query

Guardrails Check

➜

Orchestrator

Router Agent

Planning & Reasoning

➜

Vector DB (RAG)

SQL Database

External APIs

➜

Synthesis

LLM (GPT-4/Llama)

Response Gen

Key Features

• Self-Correction: Agents can retry failed steps automatically.
• Memory: Persistent context across sessions via Redis.
• Observability: Full trace logging with LangSmith/Arize.

Tech Specs

• Latency: < 400ms (Cached)
• Context Window: 128k Tokens
• Security: PII Redaction Middleware

Enterprise Technology Stack

The foundation of modern AI infrastructure

Data Plane

Snowflake

Databricks

Delta Lake

Apache Iceberg

Control Plane

Apache Airflow

Prefect

dbt Core

Dagster

MLOps & LLMOps

MLflow

Weights & Biases

LangSmith

Arize Phoenix

Compute Infrastructure

Kubernetes (EKS/AKS)

Ray Cluster

AWS Batch

Docker

Inceptez Academy Catalog

Comprehensive curriculum for the AI era

Executive Track

Generative AI Pioneer

4 Weeks

Live + Async

LLM Fundamentals: Transformers, Tokenization, and Context.

Prompt Engineering: Chain-of-Thought, ReAct, and Few-Shot techniques.

Business Strategy: Identifying high-value use cases and ROI calculation.

Engineering Track

Agentic AI Builder

12 Weeks

Capstone Project

RAG Architecture: Vector databases, chunking strategies, and retrieval ranking.

Building Agents: Using LangChain and LangGraph for stateful multi-step reasoning.

Evaluation & Monitoring: Setting up RAGAS scores and feedback loops.

Experience Indegenius

Book a private tour of our sovereign cloud facility

Tour Highlights

1
H100 Clusters: See our dedicated training pods in action with liquid immersion cooling.
2
Zero-Trust Security: Walk through our biometric access layers and air-gapped zones.
3
Sovereign Stack: Demo our proprietary control plane that never connects to the public internet.

Slots available for next week

Full Name

Work Email

Company

Interest

Executive Whitepaper

The State of Enterprise AI Security 2024

Executive Summary: As enterprises move from LLM pilots to production, security vectors have multiplied. This report analyzes data from 500+ deployments to identify the top 3 vulnerabilities: Prompt Injection, Data Leakage, and Model Hallucination.

1. The Prompt Injection Crisis

Standard firewalls cannot detect semantic attacks. Our research shows that 40% of production LLMs are susceptible to "jailbreaking" techniques where users bypass safety filters. We discuss implementing a dedicated AI Firewall layer to sanitize inputs before they reach the model.

2. PII Redaction at Scale

GDPR and CCPA compliance requires rigorous PII scrubbing. We compare regex-based approaches vs. Named Entity Recognition (NER) models, finding that hybrid approaches yield 99.9% redaction accuracy with minimal latency impact.

Key Recommendations

Implement RBAC at the vector chunk level.
Use "Constitutional AI" principles for model alignment.
Deploy private instances of LLMs within VPCs for sensitive data.

FINANCIAL SERVICES | DATA ENGINEERING

Scaling Data Pipelines at Global FinTech

Reducing ETL latency from 4 hours to 15 minutes

400%

Faster Processing

$1.2M

Annual Savings

Data Downtime

The Challenge

A leading FinTech provider was struggling with legacy Hadoop clusters. Daily reconciliation jobs took 4+ hours, often missing SLA targets for opening bell reporting. As data volume grew to 2PB, the system became unmanageable.

The Solution

Inceptez re-architected the platform using a modern Lakehouse approach:

Migrated legacy HDFS to S3 + Delta Lake for ACID transactions.
Implemented Spark Memory Configurator to auto-tune executor sizes based on workload.
Switched from batch to micro-batch streaming using structured streaming.

Technical Architecture

Raw Sources
(Kafka/API)

➜

Bronze
(Ingestion)

➜

Silver
(Clean/Join)

➜

Gold
(Aggregates)

14:20 / 45:00 HD

Building Autonomous Agents from Scratch

Recorded Live • October 15, 2024

Join our Lead AI Architect as he demonstrates how to build a customer support agent that can reason, access a database, and perform actions. We cover the full lifecycle from prompt engineering to tool definition and deployment.

Agenda

00:00 Introduction to Agentic Workflows
08:15 Defining Tools (Search, Calculator, SQL)
22:40 Implementing Memory with LangGraph
35:00 Live Demo & Q&A

Speakers

David Chen

Principal AI Architect

Sarah Jones

Head of Product

Intelligent AI Agents

Enterprise Security Solutions

Inceptez Academy

Indegenius Private Cloud

Developer Tools

The Inceptez Ecosystem

Generative AI & Agents

Data Engineering

Cloud Engineering

Enterprise security. Consumer simplicity.

Indegenius Private Cloud

SOC2 Type II Compliant

Private VPC Deployment

Role-Based Access Control

Upskill your workforce for the AI era.

Generative AI Pioneer

Data Architect Pro

MLOps Master

Agentic AI Builder

Latest Resources

The State of Enterprise AI Security 2024

Scaling Data Pipelines at FinTech Co.

Building Autonomous Agents with Inceptez

Ready to architect the future?

Agentic RAG Architecture

Key Features

Tech Specs

Enterprise Technology Stack

Data Plane

Control Plane

MLOps & LLMOps

Compute Infrastructure

Inceptez Academy Catalog

Generative AI Pioneer

Agentic AI Builder

Experience Indegenius

Tour Highlights

The State of Enterprise AI Security 2024

1. The Prompt Injection Crisis

2. PII Redaction at Scale

Key Recommendations

Scaling Data Pipelines at Global FinTech

The Challenge

The Solution

Technical Architecture

Building Autonomous Agents from Scratch

Agenda

Speakers