Build. Deploy. Scale. With Responsible AI

aptGenAI™ – Your Enterprise Generative & Agentic AI Platform

aptGenAI™ is Aptus Data Labs’ proprietary Generative & Agentic AI platform, designed to help enterprises transform operations through intelligent automation, contextual reasoning, and AI-driven decision-making. It combines scalable infrastructure, responsible design principles, and advanced AI agent orchestration to deliver real business impact across industries.

From pharma compliance to supply chain optimization, aptGenAI enables enterprise-grade deployment of Generative AI solutions using advanced techniques like RAG (Retrieval-Augmented Generation), LLM fine-tuning, and autonomous agent design.

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Product Overview

Pie is an enterprise-level AI assistant / chatbot built to provide powerful customer experiences, employee productivity, and operational intelligence across large organizations. Designed using a cutting-edge multimodal and agentic architecture, Pie combines the capabilities of advanced Large Language Models (LLMs) like GPT-4, Llama, Claude, and Mistral, with structured workflow orchestration, real-time data access, and intelligent tool selection.

With seamless integration across web, mobile, Microsoft Teams, Slack, and WhatsApp, Pie transforms enterprise engagement through context-aware responses, voice-enabled interactions, dynamic RAG pipelines, and built-in connectors to connect to ERP, CRM, HRMS, and more.

Guiding Principles

Ethical and Secure AI Development

24/7 AI-powered helpdesk across web, WhatsApp, Teams, etc.

Domain-Centric Customization

Adapts LLM capabilities to your business language, processes, and enterprise systems through fine-tuning and contextual layering.

Scalable & Flexible Architecture

Designed for cloud, hybrid, and on-prem environments to support performance, availability, and interoperability.

Built-in Governance & Compliance

Integrates explainability, traceability, audit logs, and regulatory alignment into the full model lifecycle.

LLMOps for Reliable Production

Enables smooth AI operations with monitoring, versioning, observability, caching, and continuous feedback.

what it does

aptGenAI = Platform + Framework

As a Platform

Enables end-to-end capabilities, infrastructure, and enterprise rediness

aptGenAI provides a complete stack for building and running Generative AI + Agentic AI applications:

Model orchestration layer (supporting AWS Bedrock, open-source LLMs)

Multi-agent architecture for task automation and collaboration

API and integration layer for enterprise system connectivity

Real-time inference with performance management tools

As a Framework

Guides methodology, principles, and development practices

aptGenAI offers a methodology to build and manage responsible AI solutions:

Modules for prompt engineering, fine-tuning, preference modelling (SFT, RLHF)

Data pipelines for secure preprocessing, chunking, and embedding

Post-processing, validation, and output evaluation

AI lifecycle practices embedded with governance and reproducibility

Business Use Case Development

aptGenAI accelerates business transformation by helping you identify, design, and operationalize high-value AI use cases:

Discovery & Alignment

Collaborative workshops to map business challenges to AI opportunities.

Use Case Design & Architecture

Framework-based design of data flow, model interaction, and agent logic.

Rapid Prototyping

Build and test domain-specific copilots, chat interfaces, or decision agents in a sandbox.

Deployment & MLOps

Use performance tracking, model versioning, and feedback loops for enterprise deployment.

Continuous Learning & Scale

Update models with feedback, expand to new departments or geographies, and monitor governance.

Industry Use Cases

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Industry

Example Use Case

Industry

Pharmaceutical & Life Sciences

Example Use Case

GxP document automation and summarization

Industry

Banking & Finance

Example Use Case

Risk review co-pilot and fraud detection agents

Industry

Manufacturing

Example Use Case

Root cause analysis and failure prediction

Industry

Retail & CPG

Example Use Case

Campaign content creation and customer interaction

Industry

Supply Chain

Example Use Case

Forecasting agents and procurement optimization

Case Studies

Featured Success Stories

Data Engineering

A Banking Big Data & Analytics Platform with 24x7 Support

100–300% improvement in query performance

USD 15M+ ROI in Phase 1 of implementation

10+ AI/ML use cases delivered across key functions

99.6% SLA achieved with 24x7 infrastructure support

Cloud Computing

Enterprise Data Lake and Analytics implementation for a large Pharmaceutical Company in India on AWS platform

30–40% Reduction in IT Costs

Accelerated Analytics with 3X Faster Reporting

AI/ML-Ready Infrastructure

Manual Work Reduction

Analytics Modernization & Migration

Data, Process , Batch jobs and Work flow migration to Hadoop Platform

40% Reduction in IT Infrastructure Costs

60% Improvement in Data Processing Speeds

4X Scalability Boost

70% Reduction in Downtime

Analytics & Artificial Intelligence

Supply Chain Scheduling & Route Optimization for an Oil & Gas company

Accurately forecasted voyage schedules

Minimized total logistics cost

Fully automated scheduling system

Improved cost visibility and planning accuracy

Analytics & Artificial Intelligence

Enabled a leading mortgage financing company to predict credit risk accurately and automate their process

85–90% model accuracy

Complete automation of the credit risk process

Improved risk visibility and strategy formulation

Consistent model performance

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aptGenAI™ – Your Enterprise Generative & Agentic AI Platform

Product Overview