Why LSDB AI

Not a chatbot demo.

Real AI. Real ROI.

We don't believe in AI proof-of-concepts that never leave the boardroom. We deliver working systems - deployed, integrated, and generating measurable returns within months, not years.

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1. Outcome-first scoping

Every engagement starts with your KPIs - cost reduction, yield improvement, compliance, throughput. The AI architecture follows the goal, not the other way around.

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2. Zero ERP disruption

Our systems integrate with your existing stack - SAP, Oracle, legacy databases - without ripping anything out. AI sits on top; your operations keep running.

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3. Domain expert models

Off-the-shelf LLMs aren't trained on your industry. Ours are. Proprietary models fine-tuned for manufacturing, mining, healthcare, and legal domains deliver domain-specific intelligence beyond what generic AI tools can provide.

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4. Frontier research backing

Our delivery teams are backed by an active research lab with breakthroughs in protein folding prediction and quantum-AI optimisation - and partnerships with IIT, IIM, CMU, and Imperial College.

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5. Enterprise-grade ethics

Our TRUST framework aligns every deployment with recognised AI governance and compliance requirements, including UNESCO, OECD, EU AI Act, GDPR, HIPAA, and ISO/IEC 42001 - so you can scale AI without regulatory exposure.

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6. Global delivery, local context

250+ specialists across Pune, Bangalore, London, Sydney, New York, Dubai, Singapore, and Tokyo. On-the-ground expertise with global engineering depth for organisations operating across multiple markets.

Capabilities

What we actually build

Across sectors and use cases, these are the AI systems we deploy at enterprise scale.

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Computer vision

visual inspection & defect detection

Real-time quality control on production lines. Our vision models detect defects, anomalies, and deviations at speeds and accuracy rates no human inspector can match — integrated directly into your line to support faster and more consistent quality inspection.

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Predictive AI

predictive maintenance

Sensor-driven models that forecast equipment failure before it happens — reducing unplanned downtime and extending asset life. Deployed across manufacturing, mining, and energy sectors.

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Language AI

domain expert LLMs

Custom large language models fine-tuned on sector-specific data — for manufacturing compliance, legal document analysis, clinical decision support, and mining safety protocols. Not general-purpose chatbots, but AI systems designed around specific business and industry requirements.

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Automation

intelligent process automation

AI-powered automation for document processing, approval workflows, procurement, and reporting — replacing manual, error-prone processes with systems that automate repetitive work, improve consistency, and adapt as processes change.

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Analytics

AI-powered decision intelligence

Forecasting, demand planning, supply chain optimisation, and yield analytics — turning your operational data into faster, data-driven business decisions that happen faster and with greater confidence.

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Infrastructure

MLOps & AI platform engineering

The infrastructure layer that makes AI sustainable — model versioning, deployment pipelines, monitoring, retraining triggers, and hyperscaler optimisation across AWS, Azure, and GCP.

Ready to turn these enterprise AI capabilities into measurable operational returns for your organisation?

Ethics and compliance

Our trust framework

Every AI system we build is governed by our TRUST — our ethical AI framework for responsible, secure and scalable AI deployment.

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1. Transparent

Explainable outputs. Auditable decisions. No black boxes in production systems.

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2. Robust

Systems stress-tested for edge cases, adversarial inputs, and operational drift.

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3. User-Centric

Built around the people who use them — not just the data they're trained on.

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4. Scalable

Architected to grow — from one plant to an entire group, from one market to twenty.

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5. Trustworthy

Designed with compliance, governance and security requirements considered from the beginning — not bolted on after the fact.

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How we work

From assessment to impact.

A proven AI implementation playbook.

We follow a structured, high-accountability process. Every phase has a defined deliverable - and a defined owner on our side.

1

Discovery and assessment

A structured audit of your processes, data landscape, and technology stack. For manufacturing clients, our assessment covers 371 questions across 7 factory stages - identifying exactly where AI and business automation can generate the fastest return.

The outcome

A prioritised AI opportunity map with projected ROI per initiative - before you spend a pound on development.

2

Strategy and architecture

We design the full AI system - model selection, data pipelines, integration architecture, and compliance requirements. No generic frameworks. Built specifically for your constraints and goals.

The outcome

A board-ready technical roadmap with timelines, cost projections, and clear business case.

3

Build and integration

Our engineering teams - AI/ML, cloud, data, and computer vision - build and integrate the system into your environment. First AI application typically goes live within 12 weeks of project kick-off.

The outcome

A production-grade AI system running in your environment — not a pilot, not a demo.

4

Optimisation and scale

Post-deployment, our MLOps team monitors model performance, retrains on new data, and continuously improves accuracy and throughput. We also expand the system - most clients deploy 5-7 AI applications per site.

The outcome

Compounding returns as the system learns your operations — with average payback achieved in 8-14 months.

Case studies

Explore how we've helped organisations modernise operations, scale digital platforms, and integrate AI into real world environments. Our technology stack spans enterprise software, cloud platforms, AI frameworks, and modern development languages — selected to deliver speed, scalability, and resilience.

Let's build what matters

If you're looking for an AI team that understands your business before writing a single line of code, LSDB is ready

Frequently asked questions (FAQs)

1. How is LSDB's AI service different from buying a SaaS AI tool?

SaaS AI tools are generic. They're not trained on your processes, your data, or your sector's compliance requirements. LSDB delivers bespoke AI systems built and integrated specifically for your operations with full engineering ownership and ongoing optimisation from a dedicated team.

2. Do we need to replace our existing ERP or systems?

No. Our AI systems are designed to sit on top of your existing stack whether that's SAP, Oracle, Dynamics, or legacy databases. We integrate without disrupting what's already working. Zero ERP disruption is a core delivery principle.

3. How long before we see a live AI application?

For most engagements, the first AI application goes live within 12 weeks of project kick-off. This is not a pilot it's a production-grade deployment running on real data in your environment.

4. What is the typical return on investment?

Across our 150+ projects, the average payback period is 8-14 months. This varies by sector and use case, but our discovery phase will model the projected ROI for your specific situation before any development begins.

5. Is the AI service suitable for mid-market businesses, not just large enterprises?

Yes. While we work with large enterprises and government clients, our modular approach means mid-market organisations can start with one or two high-impact AI applications and expand from there. We scale the engagement to match your size and ambition.

6. How does LSDB handle data security and compliance?

Every deployment is governed by our TRUST framework, aligned with GDPR, HIPAA, EU AI Act, NIST, and ISO/IEC 42001. Data sovereignty, access controls, and audit logging are built into the architecture from day one not added retrospectively.

7. What sectors do you have the deepest expertise in?

Manufacturing is our most differentiated vertical with a structured assessment framework covering 371 questions across 7 factory stages. We also have deep domain expertise in mining, healthcare, government, energy, and legal services across 21+ countries.