41%↑6
A27%↓3
B8%↓7
C24%↑4
DFrom signals to strategy.
Every Monday
DSGHT.ai is a living foresight platform that monitors relevant sources in your industry, keeps four scenarios live as the world shifts, and delivers a decision-ready brief every Monday morning. Built for strategy leaders in banking, energy, and telco.
Strategy team briefing? Talk to us
Runs across your CEE data stack as-is · no heavy integration needed
EurostatEU SDMX
CNB ARADCZ central bank
NBPPL central bank
OECDhealth · labor
ECB SDWEU statistics
OpenAlexresearch papers
arXivpreprints
EUR-LexEU legislation
AI agents, built for specialty
Instead of one generic AI assistant, the work splits between six specialists. Each one reads a different type of source and looks for a different type of signal — so nothing useful slips through.
Scanning 1,000,000+ sources
47 signals · 14 contradictions · 8 alerts
- Trend ScoutMonitoring
- Policy WatcherWatching
- Market IntelScanning
- Risk DetectorActive
- Behavior AnalystTracking
- Horizon ScannerProbing
How it works
Define
your future space
- Choose industry, geography, and time horizon
- Launch six specialized agents in seconds
- Watch them start monitoring 355,830 sources
- Add your company context — strategy docs, board decks, internal research (optional)
Let agents
do the work
- Generate four scenarios using proven foresight methods (2×2 matrix, scenario planning)
- Preserve contradictions and tensions — never average them away
- Trace every claim back to a transparent, verifiable source
Decide
first
- Update scenarios automatically as reality shifts
- Recommend concrete strategic moves, ranked by stake and timing
- Deliver a decision-ready brief every Monday morning
When the world moves, the scenarios move with it
Scenario probabilities shift with every new signal. Recommendations follow. Below is a live example for Banking 2030 — exactly what your strategy team sees Monday morning.
Auto-refresh
Triggersignal shift
Scopebanking-2030
Enabled
Scan 355,830 sources
#ATraditional Dominance
18%↓34
#BDigital Disruption
74%↑50
#CHybrid Model
4%↓8
#DRegulatory Block
Stable — no action needed
Hold retail branch footprint
Launch: Q3 2026
Accelerate digital mortgage
Launch: Q1 2026
Pilot fintech partnerships
Launch: Q4 2026
No action triggered
Stable signal
LivingIntelligentExplainableAdaptiveTransparent
This is strategic foresight.
Questions, answered
Everything you need to know about DSGHT.ai before you talk to us.
A classic foresight project gets you a €50,000 PDF report after three months of work. A month after delivery it’s already out of date because the world has moved on.
DSGHT.ai is a permanent layer underneath your strategy — a platform that keeps scenarios live 24/7 and tells you every Monday what shifted. It doesn’t replace strategic thinking. It’s the infrastructure underneath it. Why a single plan isn’t enough →
Traditional foresight is a snapshot — four scenarios fixed in a single moment, static probabilities, recommendations that don’t move.
Living Foresight means the scenarios update themselves. Probabilities shift as new signals arrive. Recommendations rewrite. You can see in real time which way the world is leaning. Instead of a PDF, a dashboard that reacts. Read: The Obsolescence Trap →
A Future Space is a thematic workspace — for example “Banking 2030: Open Finance” or “CEE Energy Transition.” You define the industry, region, and horizon, and six agents start monitoring sources, generating four scenarios, and tracking signals. You can run several Future Spaces in parallel: one for the core business, another for new markets, a third for the regulatory environment.
Setting up your first Future Space takes about 10 minutes. The six agents start monitoring within seconds. You’ll see the first complete set of scenarios within 24 hours. The first Monday brief lands a week after onboarding.
Every claim in the dashboard links to its primary source — click through and see where the answer came from. Every change in scenario probability has a reasoning trace: which signals moved it, how strongly, and why. No black box.
Your inputs (decision context, internal documents) stay in an isolated workspace. The agents only read sources you point them at — public data, your own documents, or sources you’ve licensed. No client data leaves the EU, and no model is trained on your inputs.