Intelligence that removes obstacles

Ancient wisdom.
Modern AI.

We harness the timeless power of strategic thinking and cutting-edge artificial intelligence to remove the obstacles standing between you and your goals.

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About VighnaAI

VighnaAI is an AI consulting company delivering intelligent, scalable solutions for complex business challenges. We combine deep engineering expertise with cutting-edge AI to drive real business value — not slideware.

  • Overcoming obstacles

    Intelligent AI solutions that eliminate friction and complexity.

  • Technology and engineering expertise

    Deep engineering meets cutting-edge AI for real, measurable results.

  • Driving growth

    Scalable strategies that deliver lasting business value.

How We Work, As a Principle

Not slogans — the actual practices behind every engagement.

Data stays yours

Local-first LLM deployment by default — client data never leaves client infrastructure.

Transparent costing

Fixed-fee phases with infrastructure costs itemized separately, never bundled invisibly.

Domain-first engineering

We know when AI is the right tool and when it isn't — and we say so before we build.

Built to be handed over

Documentation and training included, so your team isn't dependent on us for every change.

What We Do

Six ways we put AI to work inside a business.

Document Intelligence

Instant, cited answers from your own manuals, policies, and contracts.

Process & Ticket Automation

Classify, route, and pre-fill repetitive requests automatically.

Predictive Monitoring

Catch equipment or process problems before they cause damage.

Compliance Assistant

Extract and track requirements from contracts, tenders, and regulations.

Visual Quality Control

Catch defects on the line with computer vision, before a customer does.

Team Enablement

Workshops and no-code tools so your team builds on this independently.

Industries We Serve

Real solutions built across key verticals.

Solar & Renewable Energy

Predicting inverter failure before it happens and mining tender documents for compliance risk — both live and testable today.

Battery & Energy Storage (BESS)

Forecasting cell degradation months ahead, so replacement and maintenance are planned, not reactive.

Manufacturing & Quality Control

Catching a defect on the line at production-grade accuracy, before it ever reaches a customer.

Retail & Franchise Operations

Automating royalty calculation and flagging anomalies across every outlet, without hand-written fraud rules.

Logistics & Fleet Management

One live, color-coded view of battery health across an entire mixed fleet, not just a single unit.

Engineering & Technical Documentation

Turning thousands of manuals and case files into cited, sub-2-second answers — no more tribal knowledge.

Financial & Compliance

Fast where the AI is confident, human-reviewed where it isn't — auditable at every step.

See exactly how each of these was built in Case Studies & Projects below.

How We Work

A working pilot in 3–4 weeks on your real data — not a slide deck.

  1. 01

    Understand — Week 1

    Interviews with the teams who'd actually use it. What questions come up daily, what data exists, pain points ranked by effort and risk.

  2. 02

    Assess — Week 1–2

    Impact × feasibility × risk scoring, infrastructure and data-privacy check, feasibility assessment.

  3. 03

    Build — Week 2

    Working pilot in 3–4 weeks on real or representative data. Highest-impact use case implemented, local LLM, no cloud dependency.

  4. 04

    Measure — Week 3

    Pre-defined KPIs — response time, handling time, accuracy. Live demo with the actual team, structured feedback collected.

  5. 05

    Enable — Week 4

    Team training and no-code tooling so the client isn't dependent on outside help for every change. Governance document and roadmap for the next use case.

Technology Stack & Expertise

Domain depth most AI vendors don't have.

AI / ML

PythonPyTorchScikit-learn LSTM / GRU / TransformerCNNXGBoost

LLM & Agentic AI

LangChainLlamaIndexRAG Ollama (local LLM)FAISSMulti-agent / A2A protocols

MLOps & Infrastructure

DockerKubernetesFastAPI MLflowEvidently AIGitHub Actions CI/CD AzureAWS

Automation

n8nMake.com

Dashboards & Interfaces

StreamlitPlotly

Engineering & Simulation

MATLAB / SimulinkAltair HyperWorks ANSYSCATIA V5Siemens NX

This depth in engineering and simulation is the genuine differentiator most AI vendors don't have.

Case Studies & Projects

Real, deployed solutions — not concepts.

Inverter Failure Prediction

Predictive AI for solar/battery systems — prevents unplanned downtime and costly equipment failures.

GitHub Live Demo Demo may take a moment to wake up

Tender Compliance RAG

AI-powered compliance assistant for DISCOM tenders — cited, verifiable answers in seconds.

GitHub Live Demo Demo may take a moment to wake up

Franchise Accounting AI

Automated royalty calculation, transaction categorisation, and anomaly / fraud detection.

GitHub

Human-in-the-Loop Operations

Multi-agent pipeline with confidence-based routing — 75% auto-approved, 25% escalated to review.

GitHub

Vision-Based Quality Control

Battery-cell defect detection — 98.8% test accuracy, 0.988 macro-F1.

GitHub

Engineering Documentation RAG

1,000 documents indexed into 50,000 searchable chunks — under 2-second cited answers.

GitHub

Battery Digital Twin

Predicts battery State of Health up to 60 days in advance, within ±2 weeks accuracy.

GitHub

EV Fleet Battery Intelligence

Real-time SOH/SOC monitoring dashboard across a mixed 40-vehicle fleet.

GitHub

How We Price

Fixed-fee phases, not hourly billing — so budget is never a surprise. (Indicative — final figures confirmed at proposal stage.)

Discovery

₹0 – 1.5L

Stakeholder interviews, data/infra audit, feasibility report.

1 week

Pilot

₹4L – 10L

One use case, working demo on real or sample data.

3–4 weeks

Production

₹15L – 40L

Full deployment — dashboard, alerting, HITL workflow, on-prem/local LLM setup.

6–12 weeks

Retainer

₹1L – 3L / month

Monitoring, model refresh, support, incremental features.

Ongoing

Your infrastructure cost (server or cloud) is always itemized separately, billed at cost. Figures above are approximate and subject to final review.

Ready to overcome obstacles?

Let us help you find intelligent solutions for your challenges.

Our Mission

Empower businesses with intelligent solutions that transform operations and drive sustainable growth.

Our Vision

To be a leading partner in delivering intelligent solutions, engineering, and digital transformation across our industries.

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Our Leadership

Meet the Team

Experienced leaders combining deep engineering expertise with AI innovation.

Prateek Gaur

Co-Founder & Technical Lead

AI & ML specialist with expertise in predictive systems and intelligent solutions. Background in battery systems (BMS/BESS) and mechanical/CAD design — brings domain depth most AI vendors don't have.

Our Technical Lead brings:

  • M.Sc. Energy Engineering — Technische Universität Berlin
  • Battery Management Systems Specialization — University of Colorado Boulder
  • Machine Learning Specialization — DeepLearning.AI / Stanford Online
  • Python for Everybody Specialization — University of Michigan
  • CATIA V5 Certified Associate — Dassault Systèmes
  • Siemens NX Certified Designer — Siemens PLM
LinkedIn

Rajan Jha

Co-Founder & Business Lead

Technology architect with deep expertise in scalable AI systems and engineering.

LinkedIn

Deepak S

Co-Founder & Business Lead

Solutions expert focused on delivering real-world AI impact and business transformation.

LinkedIn

Contact Us

Get in Touch

Reach out to our team for inquiries, partnerships, or project discussions.

Or send us a message