Statoberry LLP, founded by a passionate group of statisticians, is redefining the way agricultural research engages with data science. We are a forward-thinking analytics firm with a vision to transform complex datasets into insights that are approachable, meaningful, and true to our name a little bit sweet.
Structure
Statoberry LLP, Thiruvananthapuram, Kerala
Recognition
Recognised startup, Kerala Startup Mission
Incubation
K-AgTech Launchpad, a NABARD, KAU and WSU initiative
Mentorship
Department of Agricultural Statistics, KAU
Flagship platform
RAISINS, 12,000+ researchers, 60+ modules
Publishing
PAPAYA Academic Press and JOSTA, ISSN 3107-6882, DOAJ indexed
Also building
KissanFinder traceability, vision and data APIs, custom AI assistants
Mentored, incubated and recognised by
Our journey is deeply rooted in academia and innovation. Statoberry is proudly mentored by the Department of Agricultural Statistics at Kerala Agricultural University (KAU), ensuring a strong foundation in scientific rigor and relevance. We have been incubated under the AgTech Launchpad, a joint initiative of NABARD, KAU, and Western Sydney University, Australia (WSU), which has empowered us to refine our ideas and bring them closer to real-world application. As a recognized startup under the Kerala Startup Mission, we continue to scale our solutions with the guidance, support, and ecosystem provided by the state’s premier innovation framework.
At Statoberry LLP, we blend statistical expertise with cutting-edge technology to build platforms, APIs, and tools that support agricultural research, precision farming, and farmer–consumer connectivity. Our work reflects a single belief: that data science, when made simple and accessible, has the power to transform agriculture and create lasting impact.
We empower researchers, educators, and agricultural professionals with intelligent, user-friendly tools. Through AI-powered platforms and cutting-edge APIs, we simplify analytics so that every decision, from the research lab to the field can be evidence-based and impactful.
Our Vision at Statoberry LLP is to make data science in agriculture simple, accessible, and impactful by transforming complex data into actionable insights. We aspire to empower researchers with intuitive tools, support farmers with secure and transparent platforms, and advance agri-technology through intelligent APIs and precision solutions all while bridging academia and innovation to create a future where agriculture is sustainable, connected, and data-driven.
| Services | Description |
|---|---|
| RAISINS | R and AI Solutions for INferential Statistics: an intuitive, no-code environment blending R, Python, and AI for rapid analysis in agricultural science. Over 60 modules across experimental design, statistical genetics, econometrics and social science, used by 12,000+ researchers. |
| JOSTA | Our open-access, peer-reviewed journal (ISSN 3107-6882), published by PAPAYA Academic Press with Crossref DOIs and DOAJ indexing. |
| Robotics & Precision Farming APIs | High-performance, vision-enabled APIs that integrate seamlessly with agricultural robotics and automation systems. |
| KissanFinder.com | A secure, encrypted platform connecting farmers directly to consumers, ensuring transparency, trust, and traceable produce. |
| Custom Bots & Assistants | AI assistants that guide research workflows, provide data support, and streamline tasks. |
| Site & App Development | Beautiful, fast, and responsive websites and dashboards to showcase your labs, datasets, tools, and services. |
We make advanced analytics feel effortless, but let you dig deeper when you need to.
All our tools are tailored to real-world agricultural workflows.
We believe great tools can be beautiful and intuitive, and delivered with a touch of delight.
We add the sugar to make the statistics sweet.
Chief Technology Officer
Statistical systems and AI analytics.
Senior Data Analyst
Data analytics and platform workflows.
Information Security Officer and Analyst
Secure systems, data protection and infrastructure security.
Senior Advisor (Statistics)
Statistical review and methodology.
LLM Expert & Data Analyst
Large language models and data science.
Q & A Strategist
Quality review and technical validation.
Marketing Lead
Outreach and growth strategy.
Creative Head
Digital marketing and communications.
Assistant Professor & Head
Department of Agricultural Statistics, College of Agriculture, Vellayani, Kerala Agricultural University. Principal Mentor, K-AgTech Launchpad.
Principal Scientist, ICAR-Central Tuber Crops Research Institute
Statistical genetics · Statistical genomics · Machine learning · Data integration
Scientist, ICAR-Indian Agricultural Statistics Research Institute
Time series and forecasting · Sample surveys · Machine learning · Applied statistics
Scientist (Senior Scale), Agricultural Statistics, ICAR-Indian Institute of Soil and Water Conservation, Dehradun
Agricultural statistics · Research methodology · Sampling inference · Small area estimation · AI/ML for NRM · DSS development
Lead Data Scientist, Intermountain Forestry Cooperative, College of Natural Resources, University of Idaho, USA
Computational statistics · Spatial statistics · Statistical learning methods
Assistant Professor, Department of Agricultural Statistics, Uttar Banga Krishi Viswavidyalaya
Sample surveys · Small area estimation · Multivariate analysis
Get in touch for demos, project inquiries, or collaborations. Statoberry LLP: sweet, simple, and powerful data science for agriculture.