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.

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:
01
Model orchestration layer (supporting AWS Bedrock, open-source LLMs)
02
Multi-agent architecture for task automation and collaboration
03
API and integration layer for enterprise system connectivity
04
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:
01
Modules for prompt engineering, fine-tuning, preference modelling (SFT, RLHF)
02
Data pipelines for secure preprocessing, chunking, and embedding
03
Post-processing, validation, and output evaluation
04
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

Why Choose aptGenAI?

01
Enterprise-grade deployment with flexible architecture
02
Fast time-to-value with use-case kits and prebuilt agent templates
03
Secure and governed AI lifecycle from prototype to production
04
Tailored to your data, language, and industry context
05
24x7 support and platform enablement through Aptus AI Delivery Framework
Case Studies

Featured Success Stories

To build a scalable, secure, and analytics-ready Big Data platform to support advanced business intelligence, customer analytics, AML, segmentation, and other use cases—while optimizing existing infrastructure and unlocking the full value of enterprise data.
Big Data & Analytics Platform Implementation for Enhanced Business Performance in Banking

100% to 300% Improvement in Query Performance

Migration of 700+ TB Across 12,000+ Tables

USD 15+ Million ROI from Phase 1 Implementation

99.6% SLA Achieved with 24x7 Platform Support

To minimize scrap (initially at 21%) and enhance ADY% (production efficiency initially at 79%) using a consolidated BI & analytics platform with integrated ML models, real-time reporting, and on-demand data availability.
BI & Analytics Platform to Improve ADY% and Reduce Scrap in Telecom Manufacturing

200% Improvement in Model Execution Performance

Enhanced ADY% and Scrap Reduction

Integrated Reporting with Real-Time Dashboards

Always-On Platform Support

To build an ML-driven predictive pricing engine that could accurately forecast monthly supply, demand, and pricing for different food product categories, improve decision-making, and reduce time and cost spent on manual estimations.
ML-Based Price Prediction Engine for Optimizing Supply, Demand, and Pricing

Automated Optimal Price Estimation

Improved Forecasting Efficiency

CI/CD Enabled Retraining Pipeline

Cost and Time Savings Through Automation

To enhance regulatory adherence, document clarity, and operational efficiency by implementing an AI-based web platform for SOP evaluation and rewriting—addressing variability, complex language, and manual review bottlenecks in Biocon’s document processes.
AI-Powered SOP Rewriting Interface for Regulatory Compliance and Document Quality

Streamlined SOP Rewriting and Review Workflow

Improved SOP Quality and Readability

Audit-Ready Change Traceability

Foundation for AI-Enabled Regulatory Compliance at Scale

To automate and digitize the process of updating medicine preparation templates by replacing placeholder text with meaningful chemical and process information—eliminating manual effort, reducing human error, and speeding up processing across large volumes of documents.
Automated Placeholder Document Creation for Digitization of Pharma Templates

95% Reduction in Manual Effort

90–95% Accuracy in Placeholder Text Replacement

Drastic Time Reduction

Significant Cost Savings

See More Success Stories

Start Your Generative AI Journey

Whether you are starting your first pilot or scaling across the enterprise, aptGenAI provides the building blocks, tools, and strategic support you need.
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