Collaboration & trials
We are a small team looking for a few partners who want controlled trials—clear scope, shared protocols, and results you can reproduce—not a self-serve data harvest or a vendor roadshow.
Friendly trials (United States)
We are preparing invite-only friendly trials of the Explico® Intelligent Assistant (IA), targeted for late Q1 2027 in the United States, with a deliberately small cohort. The goal is to learn under real controls—scoped access, notices, declines—not to pretend we are already at full production scale. Secured shared SaaS is what we ship to customers today. In the Laboratory we continue research toward a hardened on-premises appliance for workflows that may never belong on a shared plane—that direction is not a product commitment. Dates and entitlements may change; we will not market what we have not measured.
Controlled research trials
If your group runs accountable IA research, we may be a useful implementation partner: we can host or co-design trials where both sides agree on boundaries (no training on your prompts, minimized metadata, audit where applicable). We are especially interested in teams willing to remove practical barriers—legal templates, security questionnaires, and shared evaluation scripts—so the experiment is about the hypothesis, not procurement theater. We do not replace your IRB, counsel, or CISO; we try to meet them halfway with documentation and narrow scopes.
How to reach us
Research and partnership inquiries begin on the main site Contact section with an introductory video call. We look for genuine joint work—academic depth, systems rigor, or regulated-industry innovation with a research mindset—not a one-way extraction of roadmaps or curators.
Who we hope to meet
- Researchers (university or industry) in accountable AI, security, or efficiency—comfortable with versioned prototypes and side-by-side evaluation.
- Teams who will run a controlled trial with us rather than ask for unlimited early access.
- Educator–curators and industry Subject Matter Experts (SMEs) who care how knowledge domains evolve with teaching judgment, not only model demos.
- Partners who bring scenarios and skeptical review—datasets when appropriate, but always with clear use limits and reproducible scripts.
We are not seeking white-label resale of our platform. We are not the right fit if you want to resell our work, take without giving back, or join the Laboratory only as a consumer—true collaborators bring material that makes controlled experiments meaningful.
What each side brings
Partners often bring
- Domain datasets and evaluation scenarios that expose real failure modes.
- Optimized pipelines or pedagogy that stress repeatability, not demos.
- Skeptical review—the kind that only relaxes when benchmarks are reproducible.
Explico® brings
- A working IA stack, curator-oriented workflows, and lab tooling to compare experimental builds on the same pipeline outputs.
- Evaluation discipline aimed at repeatability beside people—not replacing them.
- Honest reporting when something fails; promotion to product only after it earns a gate.
When the fit is right, collaboration grows in measured steps—video calls first, shared trial docs, then deeper work if both sides still see value.
Contact for an introduction · What we measure · Laboratory overview