Insightful Data Technologies 2.0 AI
Next‑generation intelligence for global commodities markets
AI‑driven forecasting, risk analytics, and structured research for desks that need precision, not noise — led by Chanan Zevin, CEO.
We build advanced analytical systems for physical commodities: direction, horizons, and confidence — with clear language first and optional depth when you need it.
- Global commodities — energy, industrial metals, agriculture, freight‑sensitive flows
- Models, exposure interpretation, and decision‑support narratives
- Institutional tone: confident, analytical, evidence‑first
Focus
Global commodities & cross‑asset context
Technology
AI, predictive models, risk analytics
Leadership
Chanan Zevin — strategy & model design
Use
Decision support — not investment advice
Why it matters
From fragmented data to actionable foresight
Commodity markets punish delay and ambiguity. We translate complex supply, macro, and positioning dynamics into signals you can scan, then support with methodology and narrative — so serious visitors see both the “what” and the “why.”
How it works
Data → models → insights → strategy
- 1
Data
Curated inputs across commodities, macro, and cross‑asset factors.
- 2
Models
Predictive and risk frameworks tuned for regimes, not single prints.
- 3
Insights
Clear readouts: direction, horizon, confidence, and invalidation paths.
- 4
Strategy
Desk‑ready framing for hedging, exposure, and timing decisions.
Markets in focus
Physical layers we track
Prediction work sits on inventory paths, supply response, policy, and weather — illustrated below as visual anchors, not live feeds.
Products & solutions
AI risk, hedging, exposure, and predictive strategy
Each solution is presented with short copy, a schematic visual, and a direct CTA — explore the full layout on the solutions page.
What you get
Intelligence built for commodity risk
Outputs map to how desks think: direction, horizon, and what would change the view.
Market insights
Research & commentary
Short articles, forecasts, and structured notes on global commodities — maintained as a public research layer alongside the analytical console.
Leadership
Chanan Zevin — CEO
Strategy and model direction for Insightful Data Technologies 2.0 AI — bridging rigorous quantitative work with institutional communication.
Proof & examples
How serious desks evaluate us
Engagements can include anonymized case walkthroughs, sample analytical readouts, and methodology sessions — so stakeholders see the workflow, not just the brand.
- Structured forecast examples with horizons, confidence, and invalidation notes
- Exposure and hedging illustrations aligned to commodity factor structure
- Optional deep dives on model assumptions under NDA
With gratitude to Microsoft Azure for Startups for their support.
Where to go next
Dashboards, services & sibling products
Open the prediction console here; equities and the public journal run on dedicated sites.
Not investment advice. See Contact for enterprise access and data onboarding.