Project-level scientific memory · EU-first

Ask your lab's own work — and get a cited answer, not a guess.

SciWay reads your team's papers, protocols, ELN entries, results and decision notes, then answers questions with the exact source behind every claim. When the sources disagree, it shows both. When the answer isn't there, it says so.

"What did this team already try, why did they decide it, and what evidence supports it?"
Open the app → Try it on your own text
No sign-up to try · a synthetic demo lab is built in · runs on EU-hosted or fully on-premises inference.
SciWay answering a question with a grounded, cited answer
0.98 citation precision@1measured on SciFact — a reproducible, open-dataset eval
Every answer cites its source — or refusescalibrated refusal is on by default, not a setting you find later
EU-hosted or on-premisesyour choice of inference — data can stay entirely on your hardware
Why now

A team's hardest-won knowledge is scattered — and the EU is starting to mandate keeping it.

What a lab tried, why it decided, and what failed lives across ELNs, email, file shares, results tables and decision notes — most of it never written down twice. General-purpose AI tools answer over this confidently even when the evidence isn't there, and rarely cite or refuse. Meanwhile Horizon Europe, DFG/NWO and NFDI now tie funding to FAIR data management, turning a lab's own memory into a budgeted requirement.

How it works

It retrieves the evidence first, then shows you its reasoning.

Ask a question and SciWay pulls the relevant passages from your project, classifies what it found, and shows its work — a cited answer when the evidence supports it, both sides when sources disagree, and a plain refusal when the project doesn't contain the answer.

Supportedgrounded + cited
A supported answer backed by cited source quotes with provenance

The evidence supports it — you get the answer with the exact source quotes behind it.

Conflictingboth sides shown
Conflicting evidence surfaced, showing two sources that disagree on a value

Two sources disagree on a value — both are flagged with provenance, not silently merged.

Refusedno evidence → no guess
A calibrated refusal showing what was considered but found insufficient

The evidence is missing — it refuses, and shows you what it considered.

See it yourself

Paste a paragraph. Ask a question. Watch it ground — or refuse.

This runs SciWay's deterministic grounding right here in your browser — no sign-up, no API key, nothing leaves this page. The answer is a verbatim sentence from your text; ask something it doesn't cover and it refuses instead of guessing.

Try: "what temperature was the stability study?" (answered) vs "what protein concentration was used?" (refused). Synthetic / non-PII content only.
Your grounded answer — with the cited source sentence — will appear here.
Inside the product

One workspace over every silo.

Bring your own documents — PDF, DOCX, XLSX, CSV, MD, TXT, JSON or pasted text — or open the one-click sample project to explore the synthetic demo lab. Trace any claim to its source location, map concepts in the knowledge graph, share a project with your team, and export FAIR metadata.

SciWay project dashboard summarizing a lab's ingested artifacts
SciWay interactive knowledge-graph concept map of a project's corpus
SciWay FAIR export panel: DataCite, Dublin Core and RO-Crate metadata
Capabilities

A trust layer over your corpus — not another chatbot.

Every capability keeps the same contract: a claim is only made if a source backs it, and that source is always one click away.

Grounded answers with provenance

Every claim carries its source system, title, page / row / line, exact quote and link. Inspect the evidence behind any sentence.

Calibrated refusal

When the evidence isn't there, SciWay abstains instead of bluffing — and shows what it considered but found insufficient. On by default.

Conflict surfacing

When sources disagree on a value, both are flagged with provenance — so decisions rest on the full picture, not the first hit.

Semantic retrievalLIVE

Embeddings-based search finds the right passage even when the words don't match — with a calibrated similarity floor so weak matches refuse rather than mislead.

Typed-relation knowledge graphLIVE

Not just a concept map: edges are typed (supports / contradicts / decided / uses-protocol) with their own provenance, and entity mentions are linked across documents — click an edge to see the two chunks behind it.

Cross-project precedent searchLIVE

"Has this team ever tried X before?" — a permission-aware search across every project you own or share, with the same grounded citation + refusal contract. The wedge no literature tool or single-project assistant can answer.

Scientific tasksLIVE

Assign a follow-up to a teammate with a due date, straight from an answer or a document. They get notified on assignment — the CRM gap generic RAG chatbots don't close.

Shared projectsLIVE

Invite your team into a project with owner / editor / viewer roles. The questions you ask and the grounded answers you keep accumulate into a shared record.

Citable evidence export

Export a project's documents, saved Q&A and provenance as a citable evidence log (Markdown / JSON), plus FAIR metadata (DataCite, Dublin Core, RO-Crate).

EU-hosted or on-premises inferenceLIVE

Run answers on an EU-resident model (with PII minimization), on a local model on your own hardware, or with no LLM at all — the deterministic engine returns a verbatim cited sentence with nothing leaving the machine.

Ways to run it

Try it in a browser, or keep every byte on your own hardware.

The same product, three deployment shapes — pick the one that matches how sensitive your data is.

Demo lab

Anyone, in 30 seconds

A built-in synthetic lab to explore with zero sign-up — ask the golden questions, see the refusal and conflict states, inspect the citations.

Open the demo →

Hosted workspace

Individual labs & teams

Create an account, upload your documents into isolated projects, ask, and invite your team. Runs on EU-resident infrastructure with per-tenant isolation.

Live  Open your workspace →

Self-hosted, isolated lab

Air-gapped & data-sensitive sites

Deploy the whole stack — store, vector search, graph memory and a local LLM — onto one server inside your network. We install it and hand it off; no data ever leaves the box, and we hold no credentials to the running system.

In build  Talk to us about a pilot →
Roadmap

Where SciWay is going.

An honest status of what's shipped, in build, and exploratory. The provenance-and-refusal contract holds at every stage.

Shipped

  • Grounded QA with citations, conflict & calibrated refusal
  • Semantic embeddings retrieval with a calibrated similarity floor
  • EU-resident & local LLM-written answers (opt-in; deterministic by default)
  • Bring-your-own multi-file upload + paste, per-project isolation
  • Shared projects with roles; saved Q&A memory; knowledge graph with typed relations (supports / contradicts / decided / uses-protocol edges, not just keyword co-occurrence)
  • Cross-project precedent search — "has this team ever tried X before?"
  • Scientific tasks — assign follow-ups with a due date, get notified on assignment
  • Citable evidence export + FAIR (DataCite / Dublin Core / RO-Crate)
  • Read-only connector adapters — Zotero, Google Drive, Benchling (fixture-tested; live-API validation in pilots)

In build

  • Self-hosted "isolated lab" box — fully offline, on your infrastructure
  • Bulk corpus import for onboarding an existing project
  • More read-side connectors (LabArchives, Zenodo)

Exploring

  • Multi-hop reasoning across silos
  • Institutional / RDM-office deployments
  • Audit-grade evidence logs & provenance graphs
  • Design-partner pilots (German / Dutch life-science labs)
Trust & EU

Built to be checkable, and honest about its stage.

SciWay is a venture-track prototype, and we say so. Inference is deterministic by default; any external model call is opt-in, key-gated, and PII-redacted, and can be replaced by a model on your own hardware. Bundled lab data is fully synthetic, and the demo accepts synthetic / non-PII content only. Compliance features — GDPR-aware handling, EU hosting, FAIR-aligned export — are design intent for pilots, not a certification. We'd rather under-claim and show our work.

View the open-source repo →

Tell us where your team loses its memory — and try it in 2 minutes.

Are you a PI, researcher, or RDM / data steward who keeps re-discovering what your team already tried? Your answers steer what we build next.

Open the app → Take the 2-min survey
Get in touch

Pilots, partnerships, questions

We're talking to academic and translational life-science labs and their institutions about design-partner pilots — hosted or self-hosted.

Email · hello@sciway.software

See it

Open the app

A built-in synthetic demo lab to explore with zero sign-up, plus bring-your-own projects — create an account, upload your docs, invite your team, and ask.

Open the app → View the code