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.
Every engagement starts with your KPIs - cost reduction, yield improvement, compliance, throughput. The AI architecture follows the goal, not the other way around.
Our systems integrate with your existing stack - SAP, Oracle, legacy databases - without ripping anything out. AI sits on top; your operations keep running.
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.
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.
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.
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.
Across sectors and use cases, these are the AI systems we deploy at enterprise scale.
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.
Sensor-driven models that forecast equipment failure before it happens — reducing unplanned downtime and extending asset life. Deployed across manufacturing, mining, and energy sectors.
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.
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.
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.
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?
Every AI system we build is governed by our TRUST — our ethical AI framework for responsible, secure and scalable AI deployment.
Explainable outputs. Auditable decisions. No black boxes in production systems.
Systems stress-tested for edge cases, adversarial inputs, and operational drift.
Built around the people who use them — not just the data they're trained on.
Architected to grow — from one plant to an entire group, from one market to twenty.
Designed with compliance, governance and security requirements considered from the beginning — not bolted on after the fact.








We follow a structured, high-accountability process. Every phase has a defined deliverable - and a defined owner on our side.
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.
A prioritised AI opportunity map with projected ROI per initiative - before you spend a pound on development.
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.
A board-ready technical roadmap with timelines, cost projections, and clear business case.
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.
A production-grade AI system running in your environment — not a pilot, not a demo.
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.
Compounding returns as the system learns your operations — with average payback achieved in 8-14 months.
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.
If you're looking for an AI team that understands your business before writing a single line of code, LSDB is ready
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.
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.
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.
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.
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.
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.
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.