Atlas4D is a 4D spatiotemporal data layer that unifies GIS, time-series, network telemetry, events and AI into one real-time "brain" for cities, networks and critical infrastructure.
Atlas4D is not a slide deck – it is a running production system with real services, real data and real observability.
Real-time network monitoring with ping/SNMP workers, semantic search (pgvector + LLM), H3-indexed observations and MVT visualization. Currently processing 13,000+ observations.
Attendance prediction with Maximum Adjusted Linear Prediction (γ = 0.996), combining weather, calendar context and historical behaviour with transparent bias correction.
Fusion of trajectories, anomalies and environmental conditions into short-term risk forecasts on an H3 grid, with a configurable prediction horizon.
🎯 Bottom line: Atlas4D is a live, observable system – not a prototype. The architecture, data model and deployment are already in place; funding now goes into productization and scaling, not into “building from scratch”.
Modern cities are blind in 4D: space + time + movement.
Atlas4D is not just a dashboard – it is a 4D spatiotemporal data layer for the real world.
“4D Spatio-Temporal RDBMS / Data Platform”
A database-backed platform that models entities, movement, events and risk
across space and time on top of PostgreSQL.
“A database that mirrors the real world in space and time.”
Atlas4D unifies GIS + time-series + events + graph-like relations + vector AI
into one spatiotemporal model, exposed via SQL, STSQL, APIs and maps.
While others sell separate GIS tools, monitoring systems or AI add-ons, Atlas4D is built as a native 4D layer: time, space, trajectories, anomalies and predictions are first-class citizens, not afterthoughts or plugins.
Atlas4D has the potential to become a “Linux for spatiotemporal data”: an open, extensible layer that cities, telcos and infrastructure operators can run on-prem or in the cloud, with SDKs for Rust / Go / Python and a growing ecosystem of domain-specific modules (NetGuard, Event Risk, Threat Forecasting, etc.).
Atlas4D is not a slideware idea. It is a running platform with real services.
Atlas4D is founder-built by someone who has lived in networks, infrastructure and real-time systems for years.
[Hristo Beyazov&Digicom team] – engineers and architects with hands-on experience in telecom, network monitoring and geospatial systems.
Has designed and operated production systems for critical infrastructure and networks, where downtime and blind spots are not an option. Atlas4D is a synthesis of this experience: “from siloed monitoring tools to one 4D model of reality”.
Currently building Atlas4D full-time, bootstrapped, with a strong bias towards running code over slides.
What happens if you put capital behind a working prototype.
Result: from prototype to sellable pilot with live reference.
Result: SaaS-ready platform with repeatable revenue model.
Result: category-defining platform for 4D intelligence in the region.
All numbers above are indicative and can be adapted to specific investor strategy, timelines and geography.
Atlas4D is raising a €650K seed round (target range €600K–700K) to fund 18 months of runway, 2–3 core hires and 2–3 lighthouse pilots with cities, telcos or infrastructure operators.
~€300K – core engineering team.
~€140K – to turn Atlas4D into a repeatable product with 2–3 lighthouse deployments.
~€110K – go-to-market and operational backbone.
~€100K – reserved for uncertainties in deep-tech and on-prem deployments.
There is already a running platform. The next step is to turn it into a product line.
The timing for a 4D spatiotemporal data layer is uniquely good.
Atlas4D is pre-seed / seed stage, founder-built and already running in production. We are exploring a funding round to productize the platform with 1–2 lighthouse customers.