Latent View Analytics Limited (LATENTVIEW.NS) Bundle
Founded in 2006 and headquartered in Chennai, Latent View Analytics Limited is a data-driven force serving over 75 clients across 12 countries - including more than 40 Fortune 500 firms - and reported revenue of ₹714 crore in FY24, up 20.16% year-on-year; with a mission to create holistic, sustainable impact through data, a 30% jump in R&D to ₹100 million in FY23, strategic alliances like Databricks, active investments in Generative and Agentic AI, and plans to scale international revenue from about 40% in 2023 to 60% by 2025, Latent View's vision to hit $200 million by FY28, achieve carbon neutrality by 2030, and establish a Generative AI Centre of Excellence underscores how its core values - integrity, innovation, collaboration, customer centricity, excellence, and an inclusive culture - are being operationalized to turn client challenges into measurable business outcomes
Latent View Analytics Limited (LATENTVIEW.NS) - Intro
Overview Latent View Analytics Limited, established in 2006 and headquartered in Chennai, Tamil Nadu, is a leading provider of digital analytics solutions. The company's offerings span visual insights, predictive analytics, digital solutions, and data engineering, serving industries such as retail, technology, and financial services. With a global footprint, Latent View serves over 75 clients across 12 countries, including more than 40 Fortune 500 companies. In FY2024 the company reported revenue of ₹714 crore, a 20.16% increase over the prior year. Latent View has been recognized for technical excellence and strategic partnerships - notably with Databricks - and is actively investing in emerging technologies including Generative AI and Agentic AI. Mission- Deliver actionable analytics and AI-driven decisioning that translate data into measurable business outcomes for global enterprises.
- Bridge technical rigor and domain understanding to create scalable analytics platforms and bespoke solutions.
- Foster long-term client partnerships by ensuring measurable ROI, data trustworthiness, and continuous innovation.
- Be the trusted analytics partner for enterprises undergoing digital transformation, enabling data-first strategies at scale.
- Lead the adoption of next-generation AI (Generative AI, Agentic AI) in enterprise analytics to create autonomous, insight-driven business processes.
- Expand global delivery and solution footprints while retaining deep industry specialization across retail, technology, and financial services.
- Client Centricity - prioritize outcomes and align analytics initiatives to measurable business KPIs.
- Technical Excellence - invest in cutting-edge platforms and partnerships (e.g., Databricks) to deliver scalable, production-grade solutions.
- Innovation - continuously explore and adopt new AI paradigms (Generative AI, Agentic AI) to solve complex problems.
- Integrity & Trust - ensure data governance, reproducibility, and ethical AI practices across engagements.
- Collaboration - combine domain experts, data engineers, and data scientists to build cross-functional solutions.
| Metric | Value / Note |
|---|---|
| Founded | 2006 (Chennai, Tamil Nadu) |
| FY2024 Revenue | ₹714 crore |
| Revenue Growth (YoY FY2024) | 20.16% |
| FY2023 Revenue (approx.) | ₹595 crore (approx., derived from reported YoY growth) |
| Global Clients | 75+ clients across 12 countries |
| Fortune 500 Clients | 40+ |
| Core Service Areas | Visual insights, Predictive analytics, Digital solutions, Data engineering |
| Strategic Partnerships | Databricks and other ecosystem alliances |
| Emerging Tech Investments | Generative AI, Agentic AI, scalable analytics platforms |
- Scale platform-led offerings that embed analytics into client workflows to increase recurring revenue and stickiness.
- Accelerate GenAI and Agentic AI proof-of-value pilots into production, leveraging partnerships (e.g., Databricks) for performance and governance.
- Deepen verticalized solutions for retail, technology, and financial services to capture higher wallet share among existing Fortune 500 clients.
- Expand presence across high-growth geographies while maintaining delivery excellence from Chennai and global delivery centers.
Latent View Analytics Limited (LATENTVIEW.NS) - Overview
Latent View Analytics' mission is to help clients win by creating holistic and sustainable impact powered by data. The company focuses on long-term partnerships, transforming client challenges into opportunities through cutting-edge analytics that drive better customer understanding, streamlined operations, and innovative product offerings.
- Help clients win by delivering scalable, sustainable data solutions tailored to unique customer needs and goals.
- Become a talent magnet by empowering employees through a culture of fun, collaboration, and continuous learning.
- Drive excellence and thought leadership by ingraining innovation and insight into the company's DNA.
- Leverage advanced technologies (ML/AI, cloud analytics, data engineering) to convert challenges into measurable business outcomes.
In fiscal year 2023, Latent View significantly increased its investment in innovation and capability-building, exemplifying its mission and long-term orientation.
| Metric | FY2022 | FY2023 | Change |
|---|---|---|---|
| R&D Expense (₹ million) | 76.9 | 100 | +30% |
| R&D as % of Revenue | - | - | Increased focus on analytics capability |
| Strategic Focus Areas | Data engineering, analytics | Advanced ML/AI, product analytics, scalable platforms | Broadened technology scope |
Core pillars that translate mission into action:
- Customer-Centric Delivery - measurable SLAs, tailored analytics roadmaps, and continuous value delivery.
- People & Culture - structured learning programs, internal innovation sprints, and collaborative team ecosystems.
- Technology & Innovation - sustained R&D investment, partnerships with cloud and ML vendors, and internal IP development.
- Thought Leadership - publishing insights, domain-focused frameworks, and advisory engagements that shape client strategy.
Operationalizing these pillars involves concrete practices and KPIs:
- Scaled solutions with modular architectures to reduce time-to-value and support multi-year engagements.
- Continual upskilling measured via certification counts, internal training hours, and mentorship outcomes.
- R&D spend growth (30% YoY in FY2023 to ₹100 million) dedicated to enhancing analytical capabilities and proprietary accelerators.
For a detailed financial perspective and investor-focused insights, see: Breaking Down Latent View Analytics Limited Financial Health: Key Insights for Investors
Latent View Analytics Limited (LATENTVIEW.NS) - Mission Statement
Latent View Analytics Limited (LATENTVIEW.NS) commits to enabling data-driven transformation for enterprises worldwide by delivering actionable insights, scalable engineering, and AI-first solutions that accelerate decision-making and business value. Vision Statement Latent View envisions inspiring and transforming businesses to excel in the digital world by harnessing the power of data and analytics. The company's strategic growth roadmap emphasizes international expansion, technology leadership in Generative AI, sustainability, and measurable revenue growth.- Expand global footprint: ~40% of revenue from overseas clients in 2023, with a target of 60% by 2025.
- Revenue ambition: Target to reach $200 million in revenue by FY28, driven by data engineering, Generative AI, and intensified account mining.
- AI leadership: Establish a dedicated Centre of Excellence for Generative AI to centralize R&D, engineering innovation, and internal productivity tools.
- Sustainability: Commit to achieving carbon neutrality by 2030 across operations.
- Partnerships: Build strategic alliances with technology firms and academic institutions to broaden service offerings and accelerate innovation.
- Client-first orientation - measurable outcomes and ROI-led engagements.
- Engineering excellence - scalable, secure data platforms and models.
- Innovation culture - sustained investment in R&D and AI CoE to maintain technical edge.
- Sustainability and governance - ESG-aligned operations and carbon reduction plans.
- Collaborative partnerships - co-innovation with tech vendors and academia.
| Metric / Year | 2023 (Base) | 2025 (Target) | FY28 (Target) | 2030 (Target) |
|---|---|---|---|---|
| Overseas Revenue (%) | ~40% | 60% | - | - |
| Revenue (USD) | - (base year) | - (scale-up) | $200,000,000 | - |
| Generative AI CoE | Planned / initial investments | Operational & scaling | Core R&D hub driving productized solutions | Industry-leading capabilities |
| Carbon Neutrality | Commitment announced | Reduction initiatives ramped | Net-zero roadmap execution | Carbon neutral (target) |
| Strategic Partnerships | Existing alliances | Expanded co-innovation agreements | Deep academic & tech partnerships | Global partner ecosystem |
- Scaled data engineering and cloud-first platforms to support cross-border delivery and large enterprise workloads.
- Generative AI solutions for analytics augmentation, synthetic data, and domain-specific model deployment.
- Enhanced account mining and cross-sell motions leveraging customer analytics to reach the $200M revenue goal.
- ESG programs and operational efficiencies to meet the 2030 carbon-neutral commitment.
Latent View Analytics Limited (LATENTVIEW.NS) - Vision Statement
Latent View Analytics Limited (LATENTVIEW.NS) envisions becoming the trusted global partner for data-driven transformation, enabling enterprises to harness analytics at scale to make faster, smarter decisions while creating sustained value for customers, employees, and shareholders. Core strategic pillars and measurable commitments:- Scale: Targeting multi-geography delivery capability to serve Fortune 500 clients across North America, Europe, and APAC, with >50% revenue from outside India.
- Technology leadership: Continuous investment in AI/ML R&D to ensure productized analytics offerings account for a growing share of revenue.
- Talent growth: Expand the workforce and specialist bench while maintaining high employee engagement and low attrition.
- Transparent governance and ethical conduct underpin commercial relationships and financial reporting.
- Commitment to statutory compliance, audit discipline, and responsible data stewardship across client engagements.
- Ongoing investment in analytics platforms, proprietary IP, and automation to reduce time-to-insight and project costs.
- Emphasis on measurable outcomes - conversion of client pilots into scaled deployments and repeatable solutions.
- Cross-functional teams combining domain experts, data scientists, engineers, and client stakeholders to deliver integrated solutions.
- Partner ecosystems to accelerate delivery and broaden service coverage.
- Client-first metrics: Net Promoter Score (NPS) and renewal rates used as core KPIs to align delivery and product evolution.
- Outcome-based commercial models that tie fees to measurable business impact for customers.
- Defined SLAs, quality gates, and continuous improvement programs to exceed industry benchmarks in project delivery and client satisfaction.
- Employee-first programs to foster psychological safety, upskilling, flexible work, and equitable opportunities across levels and geographies.
| Metric | Value |
|---|---|
| Annual Revenue (most recent fiscal) | ₹ 780 crore |
| Year-over-Year Revenue Growth | ~20% |
| Net Profit (most recent fiscal) | ₹ 120 crore |
| Market Capitalization (approx.) | ₹ 10,500 crore |
| Employee Strength | ~2,500 |
| International Revenue Share | ~55% |
- Integrity: Quarterly governance reviews, external audits, and public disclosures to maintain investor trust.
- Innovation: R&D allocation and patenting activity; pilot-to-production conversion rates tracked per quarter.
- Collaboration: Cross-sell/up-sell metrics across accounts and internal utilization rates for multi-disciplinary teams.
- Customer centricity: Target NPS improvement, renewal rate >85%, and average deal size expansion driven by outcome-based engagements.
- Excellence: On-time delivery >95% and defect rates reduced through automated QA and best-practice runbooks.
- Culture: Attrition target <10% and diversity metrics with incremental year-on-year improvement in female and underrepresented hires.

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