Inside the Spark

We're engineering the stack that lets raw intelligence—human or model-powered—explode into action.

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A.P.E. — AI Processing Engine

Lightweight control · Massive throughput · Audit-ready

Most "agent" frameworks are either bloated, opaque, or brutally expensive. We wanted none of that.
So we built A.P.E.—a pipeline-based engine that gives you just enough control to enforce schemas, verify outputs, and run thousands of parallel tasks without turning your codebase into spaghetti.

Pipeline DNA

Compose, mutate, and branch flows at runtime.

Schema Lock

Every model response is validated, auditable, and traceable.

High-Performance Core

Execute 1,000+ pipelines in parallel—no sweat.

Provider-Neutral

Plug into any LLM API or local checkpoint.

Pure Python

Lean code built on Burr, Pydantic, and standard tooling.

Prometheus — Ideation & Innovation Engine

From vague brief → structured Idea Graph

Cloud or On-Prem

Deploy where your data lives.

Idea Graph Modeling

Visual context trees accelerate real brainstorming.

Innovation Workflows

Purpose-built prompts that turn sparks into strategies.

Status: Closed Beta — invite-only pilots in progress.

Forge — Creativity in Your Browser

Where humans steer the blaze

Custom Web UI for Prometheus

Stack + Graph views, persona packs, live cost meter.

Collab-Ready

Real-time sync keeps teams in the same flow.

Status: Closed Beta — request early access.

Ready to build on the spark stack?

→ Talk to us about Enterprise deployment