Signal intake grid
Scrapers, research capture, and model synths pouring context into NEURA and Signal Loom every hour.
Stack
We map every platform to an OS phase so partners can trace how signals enter, who composes the work, how deployments stay hardened, and which surfaces keep AI teams observable.
Why this stack
Every tool inside the studio is self-hosted or API-first so squads can automate without waiting on new procurement.
How it evolves
We audit quarterly and swap components fast—anything that slows launch cadence gets replaced or automated.
Scrapers, research capture, and model synths pouring context into NEURA and Signal Loom every hour.
Where specs, budgets, and squad assignments get locked before we greenlight a venture.
Data, orchestration, and hosting layers that keep deployments reliable without headcount.
Databricks
Unified analytics and ML runtime for streaming, training, and collaboration.
Mage
Modern pipeline builder when we need deterministic data products.
n8n
Self-hosted workflow automation gluing agents, APIs, and telemetry.
Elest.io
Managed DevOps that keeps our experiments hardened and deployable.
The telemetry layer PRISM and TRACE use to audit every autonomous decision.
Activation
License specific squads, rent the full operating system, or co-build a bespoke environment. We deploy these tools so you inherit reliable infrastructure on day one.