LatentView Analytics
Chennai-based, publicly listed analytics firm founded in 2006.
Founded 2006 | Chennai, India | 1,001–5,000 employees
predictive-analyticsdata-engineeringml-development
What is LatentView Analytics?
LatentView Analytics is a business analytics and digital transformation consultancy founded in 2006 by Venkat Viswanathan and Pramod Jandhyala, headquartered in Chennai, India. The company completed an IPO on the NSE and BSE in December 2021, reporting record oversubscription, and now employs roughly 1,170 people. Its work spans broader business analytics and BI in addition to custom ML model development.
LatentView Analytics was founded in 2006 and is headquartered in Chennai, India. The firm employs 1,001–5,000 people and works primarily with clients in Retail, Financial Services, Technology/SaaS, CPG sectors. Its primary differentiator is: Publicly listed (NSE/BSE since 2021) analytics firm with two decades of operating history.
LatentView Analytics tech stack and services
PythonTableauAWSSnowflake
| Service area |
|---|
| Predictive Analytics |
| Data Engineering |
| Custom ML Development |
LatentView Analytics use cases
Short answer: LatentView Analytics is best suited for companies wanting BI delivery with ML layered in.
| Use case |
|---|
| Companies wanting a combined BI dashboard and predictive-model deliverable |
| Retail or CPG analytics programs where ML is one part of a broader reporting stack |
| Buyers prioritizing a publicly-traded analytics vendor for procurement reasons |
LatentView Analytics pricing
Short answer: LatentView Analytics uses a fixed project and managed analytics services pricing approach. Minimum engagement starts at Not published.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From Not published | Well-defined scope |
| Managed services | Variable; depends on team size | Large programmes or team augmentation |
LatentView Analytics does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
LatentView Analytics pros and cons
| Advantages | Things to consider |
|---|---|
| +Public listing since December 2021 provides financial transparency uncommon among private competitors | -Core positioning is business analytics/BI first, with custom ML development as one offering rather than the central focus |
| +19 years of continuous operation with founders still central to the business | -Less specialist ML certification or AI-first branding than firms like Quantiphi or Neurons Lab |
| +1,170+ employees supports mid-to-large scale engagements | -Minimum engagement size not publicly disclosed |
| +Broad BI and analytics capability useful for buyers who need reporting alongside ML |
LatentView Analytics vs alternatives
How LatentView Analytics compares to the other top Machine Learning Development agencies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Neurons Lab | Regulated finance firms, PoC-to-production ML delivery. | One of the few AI consultancies worldwide holding AWS's Advanced Machine Learning Consulting Competence. | 4.8 | Full comparison |
| Tensorway | Mid-market companies, full-stack ML plus agentic AI. | full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team. | 4.6 | Full comparison |
| Provectus | Mid-market and enterprise buyers, AI bundled with cloud... | Combines AI/ML delivery with cloud and big-data engineering as a single integrated systems-integrator practice. | 4.5 | Full comparison |
| InData Labs | Fintech, healthcare, SaaS — specialist data-science boutique. | Dedicated in-house R&D center focused specifically on data science and AI rather than broad software outsourcing. | 4.5 | Full comparison |
| AI Superior | EU SMBs, research-grade ML at accessible pricing. | PhD-founder-led team with an explicit research-and-development service line alongside standard client delivery. | 4.3 | Full comparison |
| Data Monsters | GPU-heavy deep learning, NVIDIA-partnered lab. | Elite NVIDIA partnership status supporting GPU-optimized deep learning delivery (per company website; independently unverifiable tier). | 4.2 | Full comparison |
| ITRex Group | Mid-market companies, AI/ML plus IoT/edge deployment. | Explicit focus on applied AI paired with intelligent-edge and IoT development, not just cloud-based ML. | 4.2 | Full comparison |
| Ideas2IT | Healthcare and BFSI enterprises, AI within product engineering. | Employee-ownership model paired with vertical focus in Healthcare, BFSI, and Manufacturing. | 4.1 | Full comparison |
| Quantiphi | Financial-services enterprises, cloud-native AI at scale. | AI-native firm that reached enterprise scale (2,600+ employees) without pivoting from generalist IT outsourcing. | 4.4 | Full comparison |
| Fractal Analytics | Large enterprises, publicly-listed AI/analytics partner. | First Indian AI company to complete an IPO (NSE/BSE, February 2026), adding public financial transparency. | 4.4 | Full comparison |
| Tredence | Retail, CPG, industrials — vertical-focused data science at... | Deep vertical focus applying AI specifically within retail, CPG, and industrials contexts rather than horizontal AI consulting. | 4.2 | Full comparison |
| Sigmoid | Large enterprises, data-engineering-first ML delivery. | Data-engineering-first delivery model, with ML/AI built directly on pipelines the firm also builds and manages. | 4.2 | Full comparison |
| Indium Software | Existing Indium QA clients adding AI/ML. | Long-standing QA and testing heritage now paired with proprietary AI accelerators like teX.ai. | 3.8 | Full comparison |
| Grid Dynamics | Enterprises needing SEC-level transparency, AI at scale. | Nasdaq-listed public company (GDYN) with SEC-filed financials, offering procurement transparency few competitors match. | 4.1 | Full comparison |
| Persistent Systems | Very large enterprises, AI from their existing IT... | Enterprise-wide scale (24,000+ employees) supporting AI/ML as part of a full IT services portfolio, not a standalone specialty. | 3.8 | Full comparison |
| EPAM Systems | Largest global enterprises, AI within a massive engineering... | Largest headcount on this list (62,000+) with NYSE-listed financial transparency and a proprietary LLM orchestration platform (EPAM DIAL). | 3.8 | Full comparison |
| SoftServe | Enterprises wanting an established AI/ML, cloud, and IoT... | 32 years of continuous operation spanning both a US public-market presence and deep Ukrainian engineering roots. | 4.0 | Full comparison |
| N-iX | Fortune 500 clients, European-HQ dedicated ML/AI line. | 23 years of operating history originating from a Novell technology acquisition, now serving Fortune 500 clients from a Malta-based HQ. | 4.0 | Full comparison |
| DataArt | Finance, media, healthcare enterprises — established global AI... | 28 years of operating history across 30+ global delivery locations, with a newer (2024) dedicated AI strategy consulting service line. | 3.9 | Full comparison |
| Andersen | Mid-to-large enterprises, AI/ML plus custom software, one vendor. | Named AI-powered robotic integration line alongside standard AI/ML and data science services. | 4.0 | Full comparison |
| Innowise Group | Companies wanting AI/ML within full-cycle software development. | Full-cycle software development scope (web, mobile, cloud, QA, security) with AI/ML as one of several integrated specialties. | 3.9 | Full comparison |
| Sigma Software Group | Companies wanting ML from a top-ranked outsourcing firm. | Consecutive annual placement on IAOP's World's Top 100 Outsourcing list every year since 2015. | 4.0 | Full comparison |
| Exadel | Enterprises, end-to-end model design through MLOps. | Explicit end-to-end scope 'from model design to MLOps and integration' as one of five named core service lines. | 4.1 | Full comparison |
| MobiDev | Retail, hospitality, fitness companies — proven mid-size AI... | 65+ delivered AI/ML products concentrated in retail, hospitality, fitness, and health/wellness verticals. | 4.2 | Full comparison |
| Master of Code Global | Companies building conversational AI and chatbot products. | Specialization narrowly focused on conversational AI and chatbots, with 1,000+ projects delivered over 21 years. | 4.1 | Full comparison |
| ScienceSoft | Companies wanting AI/ML from an established IT generalist. | 36 years of continuous IT consulting history, one of the longest track records among firms on this list. | 3.9 | Full comparison |
| Intellectsoft | Enterprises wanting AI app development, brand-name client history. | Named enterprise client roster (EY, Harley-Davidson, London Stock Exchange, Qualcomm, Jaguar) rare among mid-size firms on this list. | 4.0 | Full comparison |
| Belitsoft | Small-to-mid companies, affordable AI/ML add-on. | 21 years as a custom software development firm now expanding deliberately into generative AI and predictive analytics. | 3.9 | Full comparison |
| Neoteric | SMBs wanting an accessible generative-AI specialist. | 20 years of operating history condensed into a compact, generative-AI-focused team rather than a broad IT services portfolio. | 4.3 | Full comparison |
| Addepto | Companies wanting boutique AI/BI, now KMS-backed. | Boutique AI/BI consultancy that gained additional scale and resources through its December 2025 acquisition by KMS Technology. | 4.1 | Full comparison |
| Softweb Solutions | Companies needing AI/ML plus IoT, Avnet-backed. | Backed by Avnet, a global electronics distributor, giving unusual hardware/IoT supply-chain proximity for AI-on-device projects. | 3.9 | Full comparison |
LatentView Analytics FAQ
What is LatentView Analytics?
LatentView Analytics is a business analytics and digital transformation consultancy founded in 2006 by Venkat Viswanathan and Pramod Jandhyala, headquartered in Chennai, India. The company completed an IPO on the NSE and BSE in December 2021, reporting record oversubscription, and now employs roughly 1,170 people. Its work spans broader business analytics and BI in addition to custom ML model development.
How much does LatentView Analytics charge?
LatentView Analytics uses fixed project and managed analytics services pricing. Minimum engagement starts at Not published. A discovery call is required to get project-specific quotes.
What tech stack does LatentView Analytics use?
LatentView Analytics works with Python, Tableau, AWS, Snowflake. Primary industries served include Retail, Financial Services, Technology/SaaS, CPG.
Is LatentView Analytics right for enterprise?
Companies wanting BI delivery with ML layered in. 1,001–5,000 team size. Key consideration: Core positioning is business analytics/BI first, with custom ML development as one offering rather than the central focus.
What are the best LatentView Analytics alternatives?
The best alternatives to LatentView Analytics depend on your use case. Top options are:
- Neurons Lab: one of the few ai consultancies worldwide holding aws's advanced machine learning consulting competence.
- Tensorway: full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team.
- Provectus: combines ai/ml delivery with cloud and big-data engineering as a single integrated systems-integrator practice.
Compare LatentView Analytics with other Machine Learning Development agencies
LatentView Analytics vs Neurons Lab LatentView Analytics vs Tensorway LatentView Analytics vs Provectus LatentView Analytics vs InData Labs LatentView Analytics vs AI Superior LatentView Analytics vs Data Monsters LatentView Analytics vs ITRex Group LatentView Analytics vs Ideas2IT LatentView Analytics vs Quantiphi LatentView Analytics vs Fractal Analytics LatentView Analytics vs Tredence LatentView Analytics vs Sigmoid LatentView Analytics vs Indium Software LatentView Analytics vs Grid Dynamics LatentView Analytics vs Persistent Systems LatentView Analytics vs EPAM Systems LatentView Analytics vs SoftServe LatentView Analytics vs N-iX LatentView Analytics vs DataArt LatentView Analytics vs Andersen LatentView Analytics vs Innowise Group LatentView Analytics vs Sigma Software Group LatentView Analytics vs Exadel LatentView Analytics vs MobiDev LatentView Analytics vs Master of Code Global LatentView Analytics vs ScienceSoft LatentView Analytics vs Intellectsoft LatentView Analytics vs Belitsoft LatentView Analytics vs Neoteric LatentView Analytics vs Addepto LatentView Analytics vs Softweb Solutions