Generative & Agentic AI

Generative & Agentic AI

Aptus Data Labs brings the power of Generative AI and Agentic AI systems to enterprises looking to unlock next-level productivity, creativity, and automation. Our capabilities are tailored to empower end-users, be it business analysts, operations professionals, data scientists, or decision-makers, through responsible, explainable, and scalable AI-driven solutions.

We help you harness foundation models (FMs), large language models (LLMs), and domain-specific agentic frameworks to generate, synthesize, automate, and act—spanning content, code, insights, and workflows.

What We Offer: Generative & Agentic AI Services

Strategy and Use Case Discovery

  • Identify AI-first opportunities using design thinking workshops.
  • Build AI adoption roadmaps tailored to your business processes.
  • Prioritize high-ROI Generative AI use cases across domains.

Custom LLM & Agent Development

  • Defined AI hub, data & compute infrastructure and AI components
  • Fine-tuning of open-source and proprietary LLMs (e.g., LLaMA, Falcon, GPT variants).
  • Domain-specific agents that simulate human-like tasks—e.g., customer support assistant , audit review, document automation, clinical trial review, automated R&D synthesis.
  • Embedded agents for real-time decision support and workflow orchestration.

AI Applications Prototyping & Deployment

  • Rapid PoCs and production-grade apps using Retrieval-Augmented Generation (RAG) and prompt chaining techniques.
  • Generative document summarization, policy drafting, automated reasoning, and more.
  • Integrate into enterprise environments with secure APIs and UX.

Responsible AI

  • Data privacy, fairness, and explainability baked into every solution.
  • Role-based access and auditability for enterprise deployment.
  • Human-in-the-loop models for sensitive decisions.
Strength to transform

Technology & Infrastructure Expertise

We are cloud-agnostic but deeply integrated with hyperscale partners such as:
01

Microsoft Azure OpenAI & Fabric

for seamless integration into M365, Power Platform, and Azure ML environments.
02

AWS Bedrock & SageMaker

for secure, scalable model deployment and managed inference.
03

Google Vertex AI

for enterprise-ready LLMs and pipeline orchestration.
04

Databricks

for Unified Data & AI Workflows with Delta Lake and MLflow.
05

Open Source platforms

for customizable AI workflows using tools like Hugging Face, LangChain, and MLflow.
Our solutions are built to scale across multi-cloud and hybrid-cloud environments, ensuring performance, compliance, and cost optimization.
Operational offerings

AI & Analytics Services Portfolios

AI & Analytics Assessment and Advisory

End-to-End AI/ML Model Development & Deployment (MLOps)

AI Pipelines for continuous intelligence and automation

Model Monitoring, Drift Management & Support

AI/ML Services integration with AWS, Azure, GCP & Open-Sources

Ecosystem & Partner Integration

Model providers
Tooling partners
Data platforms
Business integration
We leverage a modular, pluggable architecture to integrate Generative & Agentic AI solutions into your existing tools and data ecosystem—seamlessly.

Business Impact Delivered

01
Increased forecast accuracy and optimization
02
Significant cost reduction via route and resource optimization
03

Automated AI-driven decisions with minimal human intervention

04
Improved customer satisfaction through proactive strategies
05
Improved productivity through automation improvement

Aptus Data Labs Differentiators

01
“From Data to Decisions, via Generative Intelligence.” - The aptGenAI framework is Aptus Data Labs’ structured, modular approach to designing, building, and scaling Generative & Agentic AI applications across industries. It empowers organizations to operationalize LLMs and AI agents effectively, ethically, and with measurable outcomes.
02
Accelerator kits: Pre-built industry-specific agents and GenAI use cases (e.g. Pharmaceutical industry QMS Reviewer, AI Auditor,  AI Chatbot , Document Grader, Language Translation, RCA creation etc)
03
AI Engineering at Scale: MLOps + LLMOps +AIOps (AI Foundry in Action)
04
Trained SMEs & Practitioners: Across data governance, AI ethics, and compliance (HIPAA, GxP, GDPR, etc.)
05
End-to-End Lifecycle Management: From ideation → build → run → scale (AI Force in Action)
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

Our integrated offering

Advanced Analytics & AI
Production Deployment & Support Enablement
Modernization & Migration Factory

Looking to explore how Generative AI, Agentic AI, and Responsible AI can impact your business?

Connect with our experts for a 30-minute consultation and experience a live demo to get started.
Talk to an AI Expert

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Data and AI Practioners

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HQ - Novel Tech Park, #46/4, GB Palya, Near Kudlu Gate, Hosur Main Road, Bengaluru, India, Pin – 560068
info@aptusdatalabs.com
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