Nirvan Labs

Co-founded by IIT, IIM, and ex-Amazon alumni

AI evaluation, data infrastructure, and analytics for operational teams.

Nirvan Labs builds LLM evaluation scorecards, reliable data pipelines, and forecasting or reporting workflows that teams can monitor, hand off, and improve.

Book a discovery call hello@nirvanlabs.org
Bodhi-leaf inspired technical visualization of Nirvan Labs work across AI evaluation, data pipelines, forecasting, supply chain, and BFSI systems
LLM Evaluation golden datasets, RAG scorecards AI Applications RAG, copilots, document intelligence Data Engineering bronze, silver, gold pipelines Forecasting accuracy, scenarios, planning Supply Chain SKU signals, inventory planning BFSI risk signals, audit trails, reports
LLM EvaluationAI Apps and CopilotsData PipelinesForecastingSupply ChainBFSI

From evaluation frameworks and medallion data pipelines to forecasting models and BFSI reporting workflows, we build systems around the way teams actually operate, measure decisions, and improve over time.

Evaluation, applications, infrastructure, analytics

What we build

Evaluation Systems

LLM Evaluation and Reliability

Golden datasets, task rubrics, prompt and model comparisons, RAG scorecards, regression tests, and quality monitoring.

AI Applications

LLM Application Development

RAG assistants, internal copilots, document intelligence, workflow automation, human review flows, and AI product integrations.

Data Infrastructure

Data Infrastructure and Pipelines

Bronze ingestion, silver validation, gold business marts, orchestration, data quality gates, and dashboard-ready semantic layers.

Business Analytics

Forecasting and Business Analytics

Demand, inventory, revenue, and operations forecasting with baselines, backtesting, accuracy tracking, scenarios, and dashboards.

Supply Chain

Supply Chain and Inventory Analytics

SKU-level analysis, reorder signals, lead-time visibility, supplier reporting, service-level views, and exception workflows.

BFSI

BFSI AI and Data Solutions

Risk analytics, anomaly detection, audit trails, PII-aware document workflows, access controls, and reporting automation.

AI systems, reporting layers, operational workflows

Built around scorecards, pipelines, dashboards, and handoff docs

Built by an IIT, IIM, and ex-Amazon alumni-led team with hands-on delivery across AI, analytics, and data systems.

We turn vague AI ideas into evaluation reports, model scorecards, and monitored workflows.

We connect models to reporting layers, data contracts, operations, and decision-making workflows.

We design systems with audit trails, quality checks, access controls, and clear handoff documentation.

We focus on scorecards, data quality checks, monitoring, and handoff docs that keep systems usable after launch.

Discovery, evaluation, deployment, iteration

How we work

  1. 01

    Frame the use case and success metrics

  2. 02

    Map data sources and operating workflows

  3. 03

    Build the prototype and data contracts

  4. 04

    Evaluate with scorecards or backtests

  5. 05

    Deploy the pipeline, model, or workflow

  6. 06

    Monitor quality, cost, and drift

BFSI, retail, SaaS, supply chain, operations

Where we help

BFSISupply chainRetail and inventory-led businessesSaaS and technology companiesOperations-heavy teamsStartups building AI products

Audits, sprints, production builds

Ways to work with us

LLM evaluation, analytics, data engineering, BFSI

Start with a clear problem

Tell us what you are trying to automate, evaluate, forecast, or improve. We will help turn it into a prioritized backlog, delivery plan, and measurable first build.

hello@nirvanlabs.org