Salient Predictions
Machine-learning subseasonal-to-seasonal forecasts, two to 52 weeks out — built by MIT and Woods Hole climate scientists.
About
Salient Predictions works in the forecast gap most vendors ignore: weeks to months ahead. The Boston company was developed by scientists from MIT and the Woods Hole Oceanographic Institution, co-founded by physicist-turned-climate-modeler Sam Levang (chief scientist) with Matt Stein as CEO. Its models combine novel ocean and land-surface data with machine learning to produce subseasonal-to-seasonal forecasts from two to 52 weeks out — the horizon that matters for energy trading, agricultural planning and retail seasonality.
The company has raised venture funding including a $3M round in 2023 backed by Munich Re Ventures, Powerhouse Ventures, First Star Ventures and EIC Rose Rock, and partners with firms like Enwex on renewable-energy indices (2026). It is a young, niche enterprise product: probabilistic forecasts and industry insight dashboards sold to energy and agriculture clients, not a consumer app.
What it can do
- 2-to-52-week subseasonal-to-seasonal forecasts
- ML models on ocean and land-surface data
- Probabilistic exceedance features
- Industry insight dashboards
- Energy and agriculture forecast products
Setup
Contact Salient for a demo or pilot — the platform is sold as an enterprise subscription with forecast dashboards.
Prerequisites
Enterprise engagement; weather-risk use case for a scoping call.
Use cases
Works with
Trust score — 5/10
Scored 5/10 (TIER metrics, metrics-v1). Evidence: MIT/Woods Hole origins and Levang's co-founder role verified via an in-depth podcast interview; $3M 2023 raise with named investors via press release; 2026 Enwex partnership documented. Strengths: credible scientific pedigree, serves a real underserved horizon, partnerships with energy-index providers. Docked for: (1) early-stage with limited public customer evidence; (2) 'world's most accurate S2S' claim is provider-stated with no independent benchmark; (3) no public pricing or self-serve path. License: proprietary enterprise SaaS; pricing on request.
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 5.0/10
- Maintenance · recency, releases, issue load
- 7.0/10
- Openness · license + docs
- 2.0/10
- Manual review · sanity read + red-flag check
- 6.0/10
- · Boston; developed by MIT and Woods Hole Oceanographic Institution scientists
- · Co-founder/chief scientist Sam Levang; CEO Matt Stein
- · Subseasonal-to-seasonal forecasts, 2 to 52 weeks out
- · $3M 2023 raise: Munich Re Ventures, Powerhouse, First Star, EIC Rose Rock
- · 2026 Enwex partnership on renewable-energy indices
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.