Perslis
PEEL · THE SCIENCE AI RUNTIME FOR RESEARCH

The runtime
your research runs on.

Run every experiment, every literature search, and every model call through one governed console. Peel gives it a knowledge graph where facts carry their evidence; Lois reasons over what is known; and every answer comes back pinned to its source — local by default, yours to inspect, challenge, and build on.

Pilot program running — sign up today

macOS (universal) · Linux (x86_64 / aarch64) · checksum-verified · no runtime needed

CONNECTS WITH

Get your lab hooked up
and running.

No special equipment and nothing to rip out — we connect the systems your lab already uses. Literature, structures, variants, chemistry, and pathways through the services below; on the WetHands side, your LIMS, electronic lab notebooks, and instrument APIs. One governed console, every answer source-pinned.

PubMedPubMed CentralarXivbioRxivOpenAlexSemantic ScholarUniProtRCSB PDBAlphaFold DBInterProEnsemblNCBIClinVardbSNPPubChemChEMBLKEGGReactome

Queried live through their public interfaces under the source contract. Names and marks belong to their respective owners; no partnership or endorsement is implied.

~372kstructured knowledge records
35defined relation types
~65ktyped relation instances

Prototype snapshot reported in the public paper; these are scale figures, not bioscience coverage or accuracy scores. Read the source ↗

REAL DATA · INTERACTIVE EXPLORER

Knowledge has a shape. Explore it.

Six choices. Three turns. 216 distinct paths. This real AAC conversation sample makes context and relationships visible. Click a cell to light up its path and inspect its dataset connectors. Switch topics and explore a different tree.

Current topic

Cardiology

In patients with coronary artery disease and heart failure, guideline-directed medical therapy should precede revascularization strategies like PCI or CABG.

Drag to orbit · Scroll to zoom · Click to inspect · Or use the keyboard pickers below

X = Turn 1Y = Turn 2Z = Turn 3

This explorer contains conversation knowledge, not biomedical findings. Connectors are dataset relationships; a connector alone does not establish a real-world causal claim.

FROM COMMUNICATION TO DISCOVERY

Built for meaning.
Designed for knowledge that compounds.

Peel began with augmentative and alternative communication, where context and dependable expression matter deeply. The same principles speak to a larger scientific need: preserve the basis of a claim, make relationships explicit, and keep open questions visible.

01

Peel · The knowledge

Structured records keep context and typed connectors together, making knowledge inspectable and reusable.

02

Lois · The reasoning

A symbolic engine follows recorded relationships, explains its paths, and can return unknown when evidence is missing.

03

Perslis · The science runtime

The surrounding environment connects science tools, experiments, and verification. Each result still has to earn its standing through evidence within a defined scope.

GO DEEPER INTO PEEL

One system. Five ways to understand it.

02

Understand the system

How knowledge, reasoning, and execution fit together.

Explore chapter
02

Records, typed relationships, reasoning, and expression — four parts with distinct jobs, so you can see where an answer came from and where its authority ends.

Explore chapter
03

Meet Lois

What supported, conflicting, and unknown mean.

Explore chapter
03

Query stored knowledge, follow the explanation path, and check known conflicts. When the graph lacks a relationship, Lois returns unknown instead of a guess.

Explore chapter
04

Run the science runtime

Literature, molecular data, pathways, computation — and experiments — under one source-pinned contract.

Explore chapter
04

Five layers — literature, molecular data, computation, the source contract, pathways — plus WetHands experiments. Every result names its database, or it is an error.

Explore chapter
05

Walk the instrument wall

44 instruments, 19 services, one console.

Explore chapter
05

PubMed to AlphaFold to KEGG on one console, the compute bench, the WetHands lane, and pure C++ on the metal — instruments that were never meant to connect, talking.

Explore chapter
06

Keep it airtight

Local models by default, never trained on your data, the record never leaves your disk.

Explore chapter
06

Reasoning runs on local Ollama models by default; nothing leaves your devices to train any model; external models are opt-in; and the record — graph, ledger, notebook — is files on your disk that work with the cable pulled.

Explore chapter
07

Explore bioscience

From evidence maps to testable hypotheses.

Explore chapter
07

Evidence maps, pathway review, hypothesis comparison, and continuity across a lab — the proposed research workflow we want to evaluate with partners.

Explore chapter
08

Inspect the evidence

Public artifacts, prototype scope, and the validation path.

Explore chapter
08

Released datasets and models, the prototype's real scope, the public papers, and the validation path — what is built, what is next, and what still needs a test.

Explore chapter
THE NEXT WAVE OF DISCOVERY

Let every discovery become
the beginning of another.

Our ambition is a research foundation where teams can inspect evidence, compare hypotheses, and retain the reasoning behind a result. Domain partnerships and careful evaluation are how we take that foundation into bioscience.

SEE IT RUN

Watch Peel work.

A real research session, replayed live in your browser — the AI proposes, the floor pulls real data by accession, catches a contradiction, and abstains when nothing resolves. Every line comes back pinned to its source.

symbolic_floor — ai scientist · live, no MCP


Peel for bioscience — every fact pinned to its source database.
Continue exploringThe system