From Space to Signal in Seconds
The real-time weather rail for trading
CONFIDENTIAL · PRIVATE ALPHA VERSION
Beat the storm. Beat the market.
SYFE turns satellite, radar, and model updates into small, tradable signals delivered in seconds to minutes.
Today's options are slow & clunky
- Public/free feeds arrive minutes late and in bulky files
- "Forecasts" get pushed; changes that move prices are buried
- Building private ingest is expensive and slow to stand up
Our targets beat these (see Slide 5)
SYFE Overview
We own the ingest path where possible (satellite dishes, co-lo near model/radar mirrors), compute what changed, and push signals via stream/API. Simple to integrate, easy to backtest, designed for desks.
Stream/API/Parquet
SYFE Lite vs SYFE Pro
SYFE LITE (POC, 3 months)
- 1 hobbyist HRIT station
- NEXRAD + HRRR deltas
- Stream/API + Parquet
- Live dashboard
Radar ≈ 2-3 min
Model deltas ≤ 1 min
SYFE PRO (Premium, 9 months)
- Dual GRB sites (GOES East/West)
- GLM lightning
- Co-lo delivery
- Optional lightning/private radar
Satellite/GLM ≈ 1.5-2.5 min
Radar ≈ 2-3 min
Model deltas ≤ 1 min
Why we win on speed
- Satellite scans happen every 1-10 min; we process and push within ~2 min
- Radar scans complete every ~5 min; we emit on-polygon onset/ETAs in ~2-3 min after scan
- Models publish hourly; we ship run-over-run deltas within ~1 min of publish
Market size & our wedge
Weather services are a $2.7B global market today and growing. Alternative data spend in finance is $11B+ and rising—funds already budget for fast, unique data. Our first-beach is U.S. energy/commodities funds, utilities/ISOs, and large ag.
Sources: market research + bottoms-up buyer counts
Competition & our edge
| COMPETITOR | THEIR FOCUS | THEIR GAP |
|---|---|---|
| Legacy vendors IBM, DTN |
Broad products | Minutes-level lag, portals over streams |
| New obs networks Tomorrow.io, Climavision |
Unique sensors/coverage | Not finance-first speed packaging |
| Data rails ICE, Bloomberg |
Distribution | Not weather-specialized deltas |
OUR EDGE: deterministic speed, delta-first packaging, simple stream/API, replay
What we ship
REAL-TIME SIGNALS
- Weather-to-trading deltas in seconds
- Energy demand shocks (HDD/CDD)
- Severe weather alerts with geofencing
- Lightning & storm intensity metrics
DELIVERY METHODS
- Direct streaming via WebSocket/Kafka
- REST API for on-demand queries
- Historical data via Parquet files
- Visual overlays for validation
EXAMPLE DATA FORMAT FOR HEDGE FUNDS:
{ feature: "HDD_shock", region: "PJM_West", value: -3.2, ts_obs: 1234567890, latency_ms: 87 }
Business model & pricing
Traction plan & milestones
OCT-DEC '25 (PILOT)
HRIT live; API v0.9; 3 pilots on-air; 2 LOIs
JAN-MAR '26 (PRO BUILD)
GRB vendor selection; Site #1 live (Mar); Beta partner online
APR-DEC '26 (SCALE)
Pro GA Apr 1; 10-12 Pro logos; $2.8M ARR (Base)
Funding ask
Seeking $200k SAFE for 5% (pre-seed) to fund the 3-month POC
Includes ~30% buffer for surprises
Next raise (if POC succeeds): fund Pro build (dual GRB sites + co-lo + first premium data partner)
Founder & Team
AKBAR PATHAN - FOUNDER & CEO
VENTURE CAPITAL EXPERIENCE
Open Innovation Intern at Plug and Play Tech Center - the world's largest VC by global reach. Deep understanding of what makes startups succeed at scale.
TECHNICAL EXPERTISE
Quantitative Finance major + CS minor at Stevens Institute of Technology. Built trading models achieving 40%+ CAGR. Knows exactly what hedge funds and trading desks need.
EXECUTION TRACK RECORD
Scaled MSA budget by 1592% ($260→$4400), grew following 436%. Led development of medical research app for 30,000+ users.
Join us as we make weather tradeable in real time