AGRIVISION AI press resources

We're an AI-first technology company building intelligent products for global agriculture, headquartered in Detroit. Our flagship product, YieldAI Global, is an AI crop-intelligence platform designed for agricultural extension workers and farming households across India, Africa, Latin America, and Southeast Asia. The idea is to put real-time agronomy, market, weather, and pest intelligence in the hands of the field workers who advise farmers but today often work with no real-time data and no AI tools.

Our flagship product is live: YieldAI Global launched and is available in India, the USA, and Canada at yieldaiglobal.com, with a free trial. That said, we're still early — AGRIVISION AI was founded in May 2026, it's a founder-led company at the very start of its commercial journey, with no funding round announced. I'd rather be precise than dress it up: the product is real and usable today, and the company is early-stage.

We're still in the open-question phase on monetization, and I won't pretend otherwise. The starting hypothesis is to deliver value to the extension layer first — the workers who each advise roughly 1,200 farming households — and figure out durable models from there, whether that's institutional, public-sector, or partnership-based. Pricing and go-to-market come after we've proven the product genuinely helps in the field; revenue isn't the thing we're optimizing for at this stage.

The capabilities that make a credible AI advisory possible — strong multilingual LLMs, retrieval grounding, and affordable multimodal vision — have only recently matured enough to be trustworthy for high-stakes agronomic advice. At the same time, a single extension worker still advises around 1,200 households, usually with no real-time tooling, so the gap between what's technically possible and what's actually deployed in the field is wide. That gap is the opportunity, and it's why this is the right moment to build.

There's an active agritech and digital-advisory space, from government extension programs to point apps for weather, prices, or pest ID. Our bet is less about any single feature and more about grounding: a voice-first, multilingual system built specifically for the extension worker's workflow, with agronomic advice that's retrieval-grounded in ICAR, FAO, and state-department sources and continuously evaluated for accuracy and safety. As a live but early-stage entrant, I'd frame us by that specific thesis rather than as someone displacing incumbents today.

I'm Vijesh Reddy Golamari — founder, CEO, and AI architect of AGRIVISION AI, and a Generative AI Engineer and Technical Lead at Symplore Inc. I was born in Hyderabad in 2000 and moved to the US in 2023 for a master's. I've spent about five years building production AI: LLM evaluation and red-teaming, open-weight model fine-tuning, distributed training, and CLIP multimodal vision, enterprise generative AI and RAG, and end-to-end ML and recommendation systems. AGRIVISION AI is where I'm pointing that experience at agriculture.

Factual reliability across many languages and 40-plus countries, for advice where a wrong answer can cost a farmer a season. We're building a routed multi-model stack with a three-layer RAG grounded in agronomic primitives from sources like ICAR and FAO, CLIP-based vision for pest and disease identification, and a continuous evaluation harness with separate factual, safety, and cultural-appropriateness tracks. Getting advice that's correct, safe, and culturally appropriate in a farmer's own language and context — not just fluent — is the real engineering problem, and it's why we're being careful before we ship.

We're building in public, so the most useful thing is to follow the work and reach out. Press and general contact is hello@agrivisionai.org, I'm at vijeshreddy@agrivisionai.org, and the site is agrivisionai.org. We share progress through the AGRIVISION Build Notes newsletter on LinkedIn, our code is on GitHub at github.com/agrivisionai-org, and we're on X at @yieldaiglobal — and you can try the product at yieldaiglobal.com. Domain experts in agronomy and extension, and journalists who want to track an early-stage company honestly, are especially welcome.