Reads the literature
She reads the papers and shows her sources. Every fact links straight back to where it came from — nothing unsourced.
Lois works alongside you like a careful postdoc who never sleeps — and never guesses. She reads the papers, pulls the data, keeps track of your ideas, and does the legwork. And the part that matters most: when she isn't sure, she tells you. Nothing she hands you is made up.
A research prototype from Perslis Research. She runs on your hardware, and you decide what she can touch.
This is Lois's hosted knowledge floor, live. Ask about a gene or protein, or how two are connected. Every grounded answer comes back with its receipts; when the evidence isn't there, she tells you instead of guessing. The full free-form reasoning runs in your own lab — this is the part we can safely show the world.
Hi — I'm Lois. Ask me about any human gene or protein — if I don't already hold it, I'll research it live from the real databases (UniProt, PDB, AlphaFold) and show you the receipts. Or ask how two are connected.
Ask about any human gene (BRCA1, MTOR, KRAS…) — if she doesn't already hold it, she researches it live from the real databases and builds the grounded graph you see in the hologram. Try "tell me about the moon" and she'll refuse to invent one. The full free-form reasoning runs inside your lab.
Not a chatbot bolted onto your workflow — a partner who does the parts of research that eat your day, and does them with her receipts showing.
She reads the papers and shows her sources. Every fact links straight back to where it came from — nothing unsourced.
Structures, sequences, variants, chemistry, pathways — gathered from the world's databases into one place, so you stop tab-hopping.
When the evidence isn't there, she says "I don't know" instead of a confident guess. That honesty is the whole point.
She writes down what she expects before she looks — so she can't quietly move the goalposts, and neither can you.
Your instruments, LIMS, notebook, and datasets — brought into one console she can actually reason over.
Organizes files, prepares data, runs analyses, and kicks off long jobs — then checks back with you when they're done.
Hand her a task and come back to finished results. She works on her own and shows you exactly what she did.
She keeps the thread across days and sessions, building on what you did before instead of starting cold every time.
Runs on your own hardware. Your data doesn't leave the building unless you decide to send it.
Scoped access you grant and can pull back at any time — and a quiet review before she ever touches your systems.
Works in English, 中文, and 日本語 — while the facts themselves (accessions, IDs, sequences) stay universal.
Every answer comes with the trail behind it — the sources, the path, the checks — so you can follow it, not just trust it.
Lois doesn't just sound confident — she shows her work. Every answer arrives with its evidence attached, and where the record is silent she hands you an honest gap instead of a plausible-sounding invention. For research, an honest "unknown" is often the most useful answer you can get: it tells you where the next experiment should go.
You see everything she does. She earns access in stages, on your terms, and gives it back when the work is done. She's grounded in a knowledge floor that only lets through what can be traced to a source — so the thing you get to trust is the evidence, not her tone of voice.
You ask a real question. She comes back with an answer, its sources, and an honest note about what's still uncertain. You check the trail, push back, and she updates. It feels less like prompting a tool and more like working with a colleague who does the tedious parts and keeps you both honest.