Spark has two arms. Spark Studio builds the operating systems of businesses, with the business. Spark Labs builds the reusable tools and blueprints those systems run on, hardened in Studio work and dogfooded on our own company. The Studio proves it. The Labs ship it.
The open spec for a company operating system: memory, schemas, approvals, evals, tool connectors. Extended on every Studio engagement. Yours at handover.
Open spec · v0.4
The markdown-in-git company brain a business and its agents work from: source of truth, workflows, decisions, ownership, permissions. The v1 of SparkOS, and what our own company runs on.
Template · in use
A Rust engine for Open Knowledge Format knowledge graphs: lint the graph, query typed relations, export it for a website, render it. Runs the Belgian accounting graph and a client's public knowledge graph.
Rust · MIT
The delivery patterns we reuse across clients: the agent workspace backbone, an agent workspace UI, a public marketing site with an agent layer, an agent-friendly wiki, multi-app feedback, bank integration via Ponto.
Patterns · proven
Command-line tools for the recurring admin of a Belgian business: tasks, CRM, banking, e-invoicing over Peppol. Agents call them the same way people do, with the same guardrails.
Tooling · in use
Every page served as markdown on request, an MCP server, a public API, discovery files. The pattern behind the page you are reading.
Live · sparkcollective.be
Fewer tools, each with real autonomy. These are the external tools that integrate cleanly with an agent workspace and pull their weight next to what we build. Each entry says what it is for and why it is the one we would reach for.
Conversation-first data collection: AI-driven interviews that replace forms and surveys for client intake, user research, and employee feedback.
API-native with full REST access, webhooks, and real-time event streams, so an agent can spin up interviews and pull structured insight back without human setup. ~89% completion vs ~23% for traditional forms.
Turns AI-generated HTML into shareable presentation links, so research and analysis land as readable decks instead of text dumps.
Agents publish a deck with a single command, automating generation through distribution. Per-recipient tracking and version history that a wall of text can't offer.
Clients comment directly on a live site; an agent turns those comments into pull requests for developer review.
Built to orchestrate agent-driven development: feedback in, PRs out, with developers keeping full control through review before anything ships. Kills the scattered-feedback-to-code grind.
Peppol-certified e-invoicing: send and receive electronic invoices and procurement documents over the Peppol network, end to end.
A clean REST API an agent can drive directly, open-source, end-to-end encrypted, and cheap (free up to 25 docs/month, volume-based after). Does exactly the one job a Peppol integration needs.
Secrets management: central store for API keys, certificates, and credentials, replacing scattered .env files across every environment and workload.
Identity-based auth lets an agent fetch secrets just-in-time without a human pasting keys, the safe way to give agents real access. API-first, open-source, with rotation and an audit trail.
Your business is already a codebase. Spark makes it explicit, executable, and owned. Start with the €5,000 Foundation Track — a fixed-scope diagnostic that ends with your Spark Map and a clear next step. With or without us.
What happens after you book: a free 30-minute call where we map where AI fits your current workflows. You leave with a concrete first step, scoped, no obligation to continue.