Aplikacja UrbanKisaan do YC

Winter 2020Active

UrbanKisaan przeszedł przez Y Combinator w batchu Winter 2020 jako firma z branży Industrials. Poniżej: czym zajmuje się firma, kto ją założył i jej aplikacja do YC, zrekonstruowana pytanie po pytaniu w prawdziwym formularzu YC.

Batch YC: Winter 2020
Branża: IndustrialsAgriculture
Wielkość zespołu: 53
Status: Active
Wystartowano: 2020

Foundersi

Vihari KanukolluFounder
Srinivas ChagantiFounder
Dr. Sairam Reddy PalicherlaFounder

Czym zajmuje się UrbanKisaan

UrbanKisaan is an AI-for-plant-biology company. We build foundation models and the physical infrastructure that trains them. Shipping a single new seed variety takes about ten+ years. Two on germplasm, three on crosses and selection, three or four on field trials, one on regulatory. Inside that decade, prediction and experiment never properly meet. DNA is abundant, phenotype data is scarce and unpaired, and the cycle never trains itself. We closed that loop. Three foundation models cover the upstream science. Aadi is a 48-layer transformer trained from scratch on the public and proprietary corpus of plant genomes; it reads plant DNA and ranks variants before any wet-lab spend. Jeeva is the genotype-to-phenotype model that turns a seed and a target environment into yield, flowering, maturity, and height with confidence intervals plus per-locus attribution. Akash is the geospatial backbone - it maps every pixel of every field to crop class and growing condition. Two pieces of physical infrastructure close the downstream half. GeneRush is a controlled-environment chamber engineered for speed: extended photoperiod, optimized temperature, integrated phenomics. Wheat reaches anthesis in 38 days. Breeding programs run 4 - 6 generations a year instead of 1 - 2. GrowRush takes that same chamber to commercial production scale, where every harvest is also a labelled phenotype training pair flowing back to Jeeva. The unit is paid for by what it grows; the science works because the unit is identical to the chamber the AI was trained on. Every cycle produces proprietary genotype-to-phenotype data the next generation of models needs. The ten-year breeding cycle compresses toward three. We are already commercial

Aplikacja UrbanKisaan do YC, zrekonstruowana

Aplikacja Y Combinator

UrbanKisaan, batch Winter 2020. Prawdziwe pytania z formularza, odpowiedzi na podstawie danych publicznych.

Founders2
Company7
Progress7
Idea4
Equity3
Curious2
Batch Preference1

Company

Company name

UrbanKisaan

Describe what your company does in 50 characters or less.

Foundation models and autonomous chambers for plant biology

What is your company going to make? Please describe your product and what it does or will do.

We make AI models and physical infrastructure that compress the breeding cycle for new seed varieties. Aadi reads plant DNA to rank variants. Jeeva predicts phenotype from genotype and environment. Akash maps field conditions across regions. Our hardware GeneRush accelerates breeding indoors, and GrowRush scales it commercially with real-time data flow into our models.

Where do you live now, and where would the company be based after YC?

We are based in Hyderabad, Telangana, India, and plan to continue operating there after YC.

Explain your decision regarding location.

We are based in Hyderabad because of local expertise and access to agricultural research environments. It also places us close to key partners and our target markets in India's agriculture sector.

21 dodatkowych odpowiedzi w pełnej aplikacji

Są w pełnej wersji. Utwórz darmowe konto, aby otworzyć je w YC Insights, obok każdego innego batcha YC.

Zobacz pełną aplikację

Często zadawane pytania

Czy to jest prawdziwa aplikacja UrbanKisaan do YC?

Nie. Y Combinator utrzymuje prywatność złożonych aplikacji. Jest to rekonstrukcja: prawdziwe pytania z formularza YC, na które odpowiedziano na podstawie publicznych danych UrbanKisaan (notatki o premierze, tło founderów, opis produktu). Pokazuje, jak firma taka jak UrbanKisaan przedstawiłaby się YC, a nie tekst, który złożyli.