Manufacturing & Automotive

Manufacturing Intelligence, Powered by Cloud and AI.

We build the cloud infrastructure, custom applications, and GenAI agents that help manufacturers move faster, reduce operational risk, and put intelligence where decisions actually happen — across product design, supply chain, operations, and aftermarket.

Explore AI Engineering
Manufacturing with AI and cloud technology
GenAI agents in production
supply chain · service · workforce
Cloud + AI + Custom Apps
integrated, not siloed
5+
GenAI Agent Types Deployed
PLM · ERP · MES
Systems We Integrate With
24/7
AI-Powered Support Coverage
Day 1
ROC Operational Visibility
The Challenge

Where manufacturing enterprises lose time, money, and knowledge

The biggest operational challenges in manufacturing aren't on the shop floor — they're in the systems, processes, and siloed knowledge that surrounds it.

Knowledge Trapped in Systems

Design guidelines live in PLM, SOPs in SharePoint, vendor contracts in ERP, service histories in DMS — all disconnected. Every cross-system answer requires a specialist and costs a day. Iterations take weeks; prototyping costs stay high; new engineers take months to become useful.

Supply Chain Running on Guesswork

Demand forecasting errors create excess stock or stock-outs. Tender and RFP cycles are manual. Supplier compliance checks are periodic reviews, not continuous signals. BOM management is slow, fragmented, and error-prone — especially across multi-tier global suppliers.

After-Sales Support is Reactive and Expensive

Warranty claims take weeks to process. Field technicians rely on tribal knowledge for diagnostics. Customer queries about equipment — especially in tractor and auto — go to call centres that look things up in the same fragmented systems. High training costs compound the problem as expertise walks out the door.

What We Do Here

Cloud, AI, and custom software — applied to manufacturing

We don't do shopfloor automation or OT connectivity. We build what surrounds and supports manufacturing operations — cloud infrastructure, intelligent agents, custom applications, and operational resilience.

01
GenAI Agents for Manufacturing Operations

We build AI agents that work across your PLM, ERP, MES, SCM, and DMS data — answering complex cross-system queries, automating repetitive decisions, and surfacing insight that was previously locked in specialist knowledge. Tender agents, vendor support AI, compliance checkers, and troubleshooting assistants for field teams.

LLM Agents RAG on Enterprise Data ERP / PLM Integration Human-in-the-Loop
02
Cloud Infrastructure & Migration

We migrate and modernise the application and data infrastructure that manufacturing enterprises run on — legacy applications to cloud-native, batch processes to event-driven, monoliths to microservices. Multi-cloud where needed, cost-optimised by design, compliant from day one.

Cloud Migration Multi-Cloud Kubernetes CI/CD
03
Custom Application Development

Manufacturing workflows don't fit off-the-shelf products. We build custom applications for supply chain visibility, vendor management, warranty processing, after-sales service, and workforce enablement — integrated with your existing systems of record, not replacing them.

Custom Portals Workflow Automation API Integration Mobile-First
04
Resilient Operations Center (ROC)

BootLabs ROC provides 24/7 monitoring, incident management, and operational intelligence for manufacturing IT environments. From cloud infrastructure to application uptime — we keep production-critical systems observable, resilient, and recoverable.

24/7 Monitoring Incident Management Observability SLA Management
Deployed GenAI Use Cases

AI agents we've built for manufacturing & auto

These are not concepts or prototypes. These are production-deployed agents built on real manufacturing data — PLM, ERP, MES, SCM, and DMS systems.

Supply Chain & Procurement

Agents deployed across procurement and supplier management workflows:

  • →BOM visualisation & analytics agent
  • →Tender / RFP response agent
  • →24/7 AI-enabled vendor support
  • →Inspection checklist extraction
  • →Vendor performance scoring agent
Sales, Service & Aftermarket

AI-first service and support — built for tractor, auto, and heavy equipment:

  • →Voice-based service booking & requests
  • →Multimodal troubleshooting AI (tractor & auto)
  • →24×7 conversational support for vehicle queries
  • →Warranty claim processing agent
  • →Service request management AI
Workforce & Plant Operations

Reducing tribal knowledge risk and manual compliance overhead:

  • →Secure enterprise RAG platform
  • →AI ticketing system for employees
  • →JD & CV match agent for hiring
  • →Statutory compliance inspection agent
  • →Asset & contract lifecycle management agent
How We Build AI for Manufacturing

A four-layer architecture — built on your systems of record

GenAI in manufacturing only works if it's grounded in your actual data. We connect to the authoritative source — PLM, ERP, MES, SCM — and build upward with the right governance in place.

Layer 4 Interaction, Governance & Control

Ensuring responsible AI deployment with human oversight and transparent audit trails.

Human-in-the-Loop Approvals Explainability Read-Only by Default Role-Based Access & Audit Logs Safety Gates
Layer 3 Intelligence & Reasoning Layer

The only layer where GenAI components reside — combining LLMs with manufacturing-specific business logic and domain rules.

Large Language Models (LLMs) Deterministic Business Logic Domain Rules Cross-system Reasoning Confidence Scoring
Layer 2 Data Context & Knowledge Fabric

Normalising and enriching fragmented manufacturing data — BOM hierarchies, SOPs, manuals, operational logs — into a unified knowledge base the AI can reason over.

Structured Data Models (BOM, costs, schedules) Unstructured Knowledge (SOPs, manuals, guidelines) Context Enrichment Clause-level Indexing & Retrieval
Layer 1 Manufacturing Systems of Record

The authoritative sources. GenAI never owns the truth — it reads from these systems. We integrate, never replace.

PLM / CAD — Design intent, EBOMs, ECOs ERP — MBOM, cost data, vendor contracts MES — Production orders, quality events, downtime SCM — Inventory, lead times, supplier performance DMS / Service — Field failures, warranties, repair histories
Industry Trends

Where manufacturing enterprise technology is heading

The companies investing in enterprise AI and cloud now will have a structural advantage within 18 months. These are the shifts defining the roadmap.

Trend 01
GenAI Agents Replacing Enterprise Workflows

Manufacturing enterprises are deploying GenAI agents that navigate between PLM, ERP, and SCM in a single query — handling tasks that previously required multiple specialists and days of effort. Tender agents, vendor evaluation AI, and compliance assistants are moving from pilot to production.

Trend 02
AI in SDLC — Business Users Shipping MVPs

A new pattern is emerging: business users describe a manufacturing workflow in natural language, and an AI-assisted development process generates a working MVP — tested and validated — before being handed to engineering for production hardening. This is collapsing custom app development timelines from months to days.

Trend 03
Multimodal AI in Service & Aftermarket

Text-only AI is giving way to multimodal systems in service and repair — where a field technician photographs a component and the AI cross-references service manuals, warranty records, and fault histories to diagnose the issue instantly. For tractor and auto OEMs, this is transforming first-call resolution rates.

Real Outcomes

What we've delivered

From live engagements across manufacturing and automotive. Names are confidential; outcomes are real.

GenAI Agent RAG SAP ERP Integration
24/7 AI Vendor Support Bot for a Large Automotive Manufacturer

A large automotive manufacturer's vendor management team was overwhelmed with repetitive supplier queries — PO status, invoice timelines, compliance requirements. We built an AI agent grounded in live SAP ERP data that handles vendor questions end-to-end, escalating only genuine exceptions to the procurement team.

70%+
Queries Self-Resolved
24/7
Vendor Support
50%
Faster Resolution
Read case study
Cloud Infrastructure Developer Self-Service IaC
Self-Service Cloud Platform That Delivers Enterprise Infrastructure in Hours

A leading automotive and manufacturing group needed to scale dozens of digital initiatives simultaneously — but cloud provisioning took weeks. We built a self-service internal developer platform on top of AWS, Azure, and GCP, giving engineering teams the ability to spin up fully governed, production-ready environments on demand.

20×
Faster Cloud Adoption
30%
Cloud Cost Optimisation
2×
Faster Go-to-Market
Read case study
Azure OpenAI Multilingual AI Agentic Bot
24×7 AI-Powered Customer Support Across 12+ Languages for a Leading Automotive Group

A leading Indian automotive and manufacturing group was struggling to provide consistent, multilingual customer support across its diverse product lines. We deployed a GenAI-powered conversational agent on WhatsApp and web, trained on product manuals, service FAQs, and dealer knowledge — available in 12+ languages around the clock.

60%
Call Deflection
4.2/5
CSAT Score
12+
Languages Supported
Read case study
How We Engage

Our approach to manufacturing engagements

We don't start with a solution deck. We start by understanding your systems, your pain, and where AI or cloud will move the needle fastest.

Step 01
Use Case Discovery

We map your top pain points across product design, supply chain, plant operations, sales & service, and workforce — and identify the 2–3 use cases where GenAI or cloud can deliver measurable value within 90 days.

Step 02
Systems & Data Assessment

We understand your PLM, ERP, MES, SCM, and DMS landscape — where the data lives, how clean it is, and what integration approach will ground your AI in authoritative, trustworthy sources.

Step 03
Build, Deploy, Govern

We build and deploy — agents, applications, or infrastructure — with governance built in from the start: human-in-the-loop controls, audit trails, role-based access, and safety gates. Every output is explainable.

Ready to put AI to work in your manufacturing enterprise?

Talk to engineers who understand PLM, ERP, and MES — and know how to build AI agents that work with your systems, not around them. Discovery session is free.

Explore AI in SDLC