/Companies

SoranoAI

Techstars '25Plug and Play Ventures

Stanford, US · Founded 2025 · 3 employees on LinkedIn · 3 known investors

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SoranoAI builds AI-powered weather intelligence products that convert forecast data into probabilities and market signals for prediction market traders. Its main platform compares live market prices against data-driven weather probabilities to highlight where market odds diverge from likely outcomes.

Also known as Sorano · SoranoAI

Investors · 3

Techstarslisted by TechstarsBoulder · $220K

How we know: the Techstars portfolio · open dataset · Top 3000 Accelerator Startups (no YC) 2026-08 · Not right? Tell us

Plug and Play VenturesreportedSilicon Valley · $50K – $400K

How we know: open dataset · Top 3000 Accelerator Startups (no YC) 2026-08 · Not right? Tell us

Company profile

researched Sep 2026

SoranoAI is a 2025-founded company developing what it calls prediction infrastructure: a software layer that sits on top of forecasting systems a customer already uses, monitors how those forecasts perform against real outcomes, learns from that feedback and improves the outputs. The company positions the layer as horizontal, applicable to revenue, demand, energy, prices, markets, risk and weather predictions, and emphasizes that customers retain their own models, providers and proprietary methods rather than replacing them. Integration is offered through an API for conventional software and through MCP for autonomous agents.

The company's first live application is weather. Sorano applies its layer across traditional and AI-based weather models — it cites GFS, IFS, ICON, HRRR, ENS, AIFS and NWS — and channels the improved outputs into Kumo Edge, a product that turns the forecasts into intelligence for prediction market traders. Earlier company material describes a weather intelligence platform aimed at accelerating the energy transition, using diffusion models to generate long-range forecasts up to 120 days ahead for energy traders, grid operators and renewable planners, with an AI-to-AI approach intended to remove manual calibration and support scheduling of renewables and natural gas. A related description characterizes the product as a natural-language-based weather platform supporting long-term decisions in industries such as energy and agriculture.

Founding story

SoranoAI was founded by Stanford PhD researchers working at the intersection of climate science and AI, starting from the premise that even advanced forecasting systems improve when they continuously learn from real-world outcomes. The team has roots in Stanford University's TomKat Center for Sustainable Energy, where the listed members are Ayako Kawano (E-IPER PhD), Renzhi Jing (postdoctoral advisor, School of Medicine) and Prof. Yuan Wang (PI, Earth System Science). Ayako Kawano, PhD '26, presented the venture at Stanford Graduate School of Business's Demo Day 2025 in June 2025, hosted by Stanford Venture Studio and the Center for Social Innovation.

Business model

B2B software. SoranoAI offers two routes: Kumo Edge, a live product that applies the Sorano prediction layer to weather markets for prediction market traders, and an enterprise offering in which companies place Sorano on top of the forecasts they already use, integrated via API for software systems and MCP for AI agents. Caplight characterizes the business model as B2B with a subscription SaaS and services/consulting customer profile.

Traction

The company reports that all seven leading weather models it tested improved with its layer, with an average accuracy improvement of 40% and individual forecasts improving by up to 99%. Kumo Edge is described as a live product. Caplight lists roughly six employees and total funding of $120,000, and reports monthly website visitors of about 1.8K.

Latest developments

SoranoAI's site presents the company as a horizontal prediction layer for the agentic era, with two available routes to work with it: the live Kumo Edge weather-markets product and an enterprise integration via API and MCP. Caplight records an accelerator round dated October 2025 as the most recent funding activity.

▸Full profile — market position, technology, go-to-market, geography, history

Market position

An early-stage, Stanford-affiliated company in AI and data infrastructure, positioned within weather and prediction intelligence. Caplight groups it in the AI, Data & Cloud Infrastructure sector and lists Salient Predictions, Planette AI and Jua as comparable companies.

The layer is described as model-agnostic and additive: customers keep their existing models, providers and proprietary methods private while Sorano improves the resulting predictions, rather than substituting a new forecasting system. The company states the same layer applies across prediction types — revenue, demand, energy, prices, markets, risk and weather.

Technology

A continuous-learning layer that monitors the performance of existing forecasting models and improves their outputs without replacing the underlying systems. In the weather application it operates across traditional and AI-based numerical weather models including GFS, IFS, ICON, HRRR, ENS, AIFS and NWS. Earlier material describes the use of diffusion models to generate long-range forecasts up to 120 days ahead and an AI-to-AI approach that removes manual calibration. Distribution is through an API for software and MCP for agents.

Go-to-market

Direct enterprise engagement through the website's inbound contact flow, alongside a self-serve-facing live product, Kumo Edge, aimed at prediction market traders. Technical distribution is via API and MCP integrations into customers' existing software and agent stacks. The company also draws on accelerator and university networks, citing backing from Techstars and StartX and roots in the Stanford founder community.

Businesses and AI agents that rely on forecasts, across energy, finance and trading, insurance, supply chain, sales and agriculture. Named user groups include prediction market traders (via Kumo Edge), energy traders, grid operators and renewable planners.

Geography

United States. Caplight lists a San Francisco, California headquarters; the company's academic roots are at Stanford University.

History

The company was founded in 2025 out of Stanford research. It presented at Stanford GSB's Demo Day 2025 in June 2025 as a natural-language-based weather platform for energy and agriculture, and its TomKat Center profile describes a prototype for long-range weather forecasting informed by Stanford research and 72 industry interviews. Caplight records accelerator and grant participation during 2025, including a grant round in September 2025 and accelerator entries in June and October 2025. The company subsequently broadened its positioning from weather intelligence to a general prediction-improvement layer, with weather as its first live use case delivered through the Kumo Edge product.

Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Average forecast accuracy improvementJan 202540%
Employee countJan 20256 employees
HeadcountAug 20263
Industry interviews conductedJan 202572 interviews
Leading weather models improved in testingJan 20257 of 7 (GFS, IFS, ICON, HRRR, ENS, AIFS, NWS)
Maximum forecast horizonJan 2025120 days
Maximum individual forecast improvementJan 202599%
Monthly website visitorsJul 20261,800 visitors
Total funding raisedOct 2025$120K

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Timeline · 4

launches, deals, and filings
Oct 2025
Accelerator round

Caplight lists an accelerator round dated October 1, 2025 as SoranoAI's most recent funding activity; StartX and Plug and Play Tech Center are listed as accelerator investors.

source ↗

Sep 2025
$120K grant round led by Techstars

Caplight records a $120,000 grant round led by Techstars, with TomKat Center for Sustainable Energy also listed among investors.

$120K source ↗

Jun 2025
Presented at Stanford GSB Demo Day 2025

Ayako Kawano, PhD '26, presented SoranoAI, described as a natural language-based weather platform for industries such as energy and agriculture, at Demo Day 2025 hosted by Stanford Venture Studio and the Center for Social Innovation at Stanford Graduate School of Business.

source ↗

Jan 2025
Kumo Edge weather-markets product available

Kumo Edge, powered by the Sorano prediction layer, is presented as a live product that improves outputs from leading traditional and AI weather models and turns them into intelligence for prediction market traders.

source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

▸Research sources · 8

primary sources listed

8 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does SoranoAI do?
SoranoAI builds a prediction layer that continuously improves the accuracy of existing forecasting models for businesses and AI agents.
Who are SoranoAI's investors?
SoranoAI's investors include Techstars, Plug and Play Ventures, StartX.
Where is SoranoAI headquartered?
SoranoAI is headquartered in Stanford, US.