AI makes research faster. We make sure it still holds up.
AI makes research and documentation faster — and makes it easier to fabricate a source, lift someone else’s work without attribution, or lose track of how a conclusion was reached. Research-Ready builds software and a methodology that reverses that: research as traceable as forensic evidence, following the discipline of the Electronic Discovery Reference Model (EDRM) — self-hosted, so no one else can erase that trail.
Self-hosted, because control is a precondition for accountability
Every pipeline runs on a self-hosted AI stack. Reproducible means something concrete here: someone who wasn’t part of the project can reconstruct how a result came about from the stored data and the log alone — without asking the team. Data, source code, and models stay inside the environment you control, even while the pipeline makes decisions on its own.
- Every step — who did what, when, based on what — sits in a version-controlled, timestamped archive
- Services run with least privilege and verify each other before exchanging data
- Passwords and keys are stored encrypted, never in plain text
- No vendor lock-in: models and providers are interchangeable
Eight pipelines, one approach
From citable research to business creation — each pipeline is a self-contained, adaptable production line with its own repository.
Research treated as evidence, not as claims
Every pipeline follows a forensic discipline for research and documentation — inspired by the chain-of-custody rigor of the Electronic Discovery Reference Model (EDRM), and developed through research into reproducible research infrastructure at the Value Chain Hackers Lab, Windesheim.
That way a citation stays a citation, a source stays a source — and a conclusion can be traced back to the evidence behind it.
Fixed infrastructure, no per-user bill
Compute is spread across a compact server setup — no data center required. Want language models running fully locally, with no external fallback at all? That can be added once the need arises.
- Predictable infrastructure costs instead of a SaaS bill that grows with usage
- No per-user or per-seat pricing
- Shareable across multiple teams or departments within the same organization
Start small, see results fast
- Weeks 1–2 Intake. Pick an owner and one process or pipeline.
- Weeks 3–6 Setup. Connect the platform to existing systems and data.
- Weeks 7–10 Pilot live. Runs alongside the existing workflow, with human oversight.
- Weeks 11–13 Evaluation. On quality, time saved, and cost — then a decision on scaling up.
One process owner · A pilot budget · Access to one bounded process
No long-term contract. No vendor lock-in. Visible from day one.
Curious what a pipeline could do for your organization?
Book a short, no-obligation call, or send us a message directly.