Black Forest: Better Decisions, Faster, At Any Scale
Black Forest™ is Craxel's patented knowledge infrastructure. Data becomes immediately queryable at ingest, so decision makers and AI work from a picture that is current, at a fraction of the compute.
Modern organisations generate extraordinary volumes of data from sensors, transactions, cyber telemetry, logistics platforms and intelligence sources, flowing continuously at machine speed. Without an architecture that connects and contextualises that information in real time, decision makers and AI systems operate from fragmented, stale or inconsistent pictures.
Black Forest organises information not as static records in isolated systems but as a living network of relationships connected across time, holding consistent performance regardless of scale.
Speak with our teamWhy Conventional Architectures Degrade At Scale
Conventional indexing was designed for a different era. B-Tree structures, in use for more than 50 years, impose an access cost that rises with the size of the data set.
Access cost grows with volume. Each lookup traverses more of the structure as data accumulates, so performance degrades precisely when the data set becomes most valuable.
Ingest is serialised. New records enter through a single root, one at a time, constraining throughput at exactly the moment data arrives fastest. The alternatives carry their own penalties:
- Hash indexes deliver constant time lookup but discard locality, so they cannot serve range, proximity or relationship queries.
- Brute force scanning restores flexibility at unsustainable compute cost, rising in direct proportion to data volume.
- Partitioning across large server clusters converts the problem into spiralling infrastructure and energy spend.
- The consequence is incomplete analysis, missed signals and slower decisions.
Constant Time Access, By Design
Craxel's patented algorithm is a probabilistic hash that preserves hierarchy instead of order while solving a difficult hash collision problem. The result is O(1) indexing, where the cost of locating data is decoupled from the size of the data set.
Because hierarchy is preserved, Black Forest retains the selectivity that conventional hash indexes discard. Range, bounding, interval and nearest neighbour queries are supported through SQL, SPARQL and a native API, with multi-dimensional indexes that fuse graph, geospatial, relational, time series and vector structures in a single infrastructure.
Data is indexed on arrival rather than in overnight batches, and ingest runs in parallel rather than through a single entry point. Craxel has demonstrated indexing rates of 1 gigabit per second using a single pair of commodity cloud servers.
Query cost is proportional to the quantity of valid responses rather than the scale of the data, which makes low latency access from low cost hyperscale storage practical at petabyte and potentially exabyte scale.
High Performance Searchable Encryption allows data to be encrypted at the application layer, then stored and searched inside the database without the data layer holding the encryption keys. Analytics run over fully encrypted data, so security is never traded for speed of access.
Efficiency At Scale
Traditional platforms partition data across large server clusters, with costs that spiral as volumes grow. Black Forest provides low latency access from low cost hyperscale storage such as S3, reducing the compute, OPEX and associated energy used by as much as 90%. Because performance is independent of data set size, capacity planning is no longer a trade against query latency.
For workloads that demand very low latency, such as agentic AI or real time recommendation, legacy platforms have limited options and typically partition data across large clusters. Black Forest removes that constraint, so cost and performance no longer move in opposite directions as the data set grows.
The algorithm behind this is patented as Organizing Information Using Hierarchical Data Spaces. Because data is written to a precisely computed location rather than searched for, Black Forest needs substantially less compute and can serve hot access to very large volumes from commodity object storage.
Where Black Forest Is Applied
