AI Solutions Driving ROI Across Industries
Life Sciences / Pharma
LLM-to-SQL multi-agent system for clinical trial analysis (LangGraph, RAG)
SaaS Support Automation
Custom GPT-powered agent to classify and summarize incoming tickets
Public Sector Intelligence
AI-powered data harmonization and dashboarding with secure pipeline integration
Retail & CX
Customer intent classification and personalization using fine-tuned NLP models
Finance
Real-time anomaly detection and risk scoring using streaming ML inference
End-to-End AI Engineering Expertise
Comprehensive AI capabilities from research to production deployment.
LLM & NLP Solutions
Fine-tuning, embedding models, prompt engineering, GraphRAG
Multi-Agent & LangGraph Systems
Use of LangGraph + LangChain to orchestrate AI agents with memory and tools
ML Pipelines & MLOps
Model training, versioning, and deployment via SageMaker, MLflow, Kubeflow
Vision, Audio & Structured AI
Computer vision, audio processing, tabular ML, and hybrid pipelines
AI Governance & Security
Red-teaming, NIST AI RMF, OWASP for LLMs, threat modeling, safe deployment
Why Organizations Trust Anpu Labs for AI
Our comprehensive AI expertise ensures secure, scalable, and effective artificial intelligence solutions.
Custom-built LLM agents and pipelines using open-source models
Secure, explainable AI with built-in model guardrails
End-to-end AI lifecycle support—from prototype to production
Federated, air-gapped, or cloud-native AI deployments
Multi-modal workflows (text, vision, audio, structured data)
PromptOps and evaluation frameworks using LangSmith and Weights & Biases
How We Build and Deploy AI—Responsibly
A systematic approach to AI development that prioritizes security, ethics, and measurable outcomes.
AI Opportunity Mapping
Identify highest-impact workflows and build feasibility maps
Data Strategy & Preparation
Clean, label, and structure training-ready datasets
Model & Agent Development
Train/fine-tune models or build orchestration layers (LLMs, RAG, multi-agent)
Deployment & Integration
Secure model serving, APIs, CI/CD pipelines, agent monitoring
Feedback Loops & Governance
Human-in-the-loop workflows, evaluations, and continuous improvement
AI That Drives Results You Can Measure
Proven outcomes across diverse AI implementations demonstrate our expertise and approach.
>90%
classification accuracy in support ticket AI workflows
30x
faster clinical data querying via LLM-to-SQL agents
5x
faster model deployment cycles using MLOps best practices
Zero
model misuse incidents across all AI security-reviewed deployments
>70%
task automation rate for enterprise back-office AI pilots
100%
NIST AI RMF alignment for regulated AI implementations