Curasynth

Therapeutics intelligence

The evidence for a target already exists. It is in seven places that do not agree on what things are called.

Curasynth harmonizes diseases, targets, drugs, biomarkers, trials, publications and pathways into one substrate where an identifier means the same thing everywhere — and puts an analyst on top of it that can be asked a question in a sentence.

Seven entities, harmonized, joined and served.

Counts are distinct records the Analyst can reach today, with duplicates removed.

EntityRecords
Clinical trials537,415
Biomarkers95,500
Targets79,177
Publications, full text61,863
Diseases33,842
Drugs11,758
Pathways4,228

Alongside them: 6.3 million paper-to-paper citations, 470,286 drug–target binding measurements, 348,198 disease-hierarchy relationships so a question about a disease reaches its subtypes, and CRISPR dependency measured in organoids as well as on plastic.

A drug, a target and a trial are the same objects everywhere you look.

Public biomedical sources each key their records their own way. The same molecule is a ChEMBL ID here, a UNII there, a free-acid name in one table and its salt form in another — so the evidence about it is real, and scattered, and does not add up.

Curasynth assigns one identifier per entity and holds it stable, then declares every relationship between them explicitly. That is what makes a question like what else is known about this target answerable in one pass rather than seven.

shared identity Diseases Targets Drugs Biomarkers Trials Publications Pathways
Every relationship is declared, not guessed — and every declared relationship is checked, so a link that stops resolving is caught rather than silently returning nothing.

Ask a question. Get back the evidence and where it came from.

  1. 01

    Ask

    A question in a sentence — a target and a disease, a drug and a liability, a mechanism you want the literature on.

  2. 02

    The Analyst assembles

    It reads across all seven entities at once: expression and tractability, binding measurements, trial history, biomarker associations, the papers and what they cite.

  3. 03

    A dossier you can check

    Every claim carries its source, its license and its vintage down to the record. Nothing is asserted that cannot be traced back to where it came from.

  4. 04

    Hand it off

    The same evidence is available through MCP, so it reaches the AI tools your team already works in rather than staying behind another login.

Breadth of evidence, and identity that holds.

Every entity, every question

Most tools are deep in one modality. The differentiator here is how much evidence one question can reach — chemistry, genetics, clinical history and literature in a single pass, including dependency measured in organoids rather than only on plastic.

7 entities · 138 declared relationships

Provenance on every record

Source, license, distribution terms and vintage travel with each record, not just each source — so a result built from mixed sources reports the terms it actually inherits.

76 sources, each with its license terms

Identifiers that do not move

An identifier is an assertion about which molecule you mean. Ours never change meaning once assigned, and withdrawn ones still resolve, so a citation from last year still answers.

Withdrawn identifiers still resolve

Checked, not assumed

Cross-references, data health and license terms are verified on every release. A link that quietly stops working is treated as a failure, not an empty page.

Verified on every release

We are working with a small number of research teams.

If you are evaluating targets, repurposing candidates or trial precedent and you spend more time reconciling sources than reading them, we would like to hear what you are working on.

Contact
jide@fitila.ai
Built by
Fitila Labs
Where
Fulton Market District
Chicago, Illinois