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

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

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

See More Success Stories

Our integrated offering

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.

Contact Us