AnGel AI: Software for Biomaterials R&D

Tell AnGel AI what you're building. It researches the field, designs formulations, plans the experiment and models your results, all in one chat.

  1. Research

    A sourced report across literature, patents, clinical, regulatory and market records.

  2. Design

    Ranked formulation concepts, each ingredient traced to a measured recipe and checked against FDA inactive-ingredient limits.

  3. Execute

    A plate-ready experiment and materials list, run in your lab or by GelTech on Carousel.

  4. Model

    Results build models from your own data, so each run plans a better next one.

Apply for the AnGel AI beta Your data, formulations and IP stay yours.
AnGel AIBeta

An injectable hydrogel that releases a GLP-1 drug over 4 weeks, with degradation as the main release mechanism and minimal burst release.

Research

Scout scanned 5,000+ sources across literature, patents, clinical trials, regulation and market. Report ready.

Know what's been done before you mix anything

Get a sourced research report across literature, patents, clinical trials, regulation, market and similar products through Scout, with every key finding marked verified or unverified.

Start from formulations with evidence behind them

Get ranked formulation concepts through Design, each with its likely failure, the first test to run, and every ingredient traced to a measured recipe or flagged as an estimate.

Plan a screening experiment, plate by plate

Lay out hundreds of formulations across well plates through the experiment planner, so one run maps the space instead of testing one recipe at a time.

  • Built for Carousel. Plate formats, deck slots and the properties Carousel measures.
  • Checked before it runs. The planner flags missing replicates and confirms inputs vary independently.
  • Every property you need. Swelling, degradation, rheology, mechanics, structure and release.

Run it yourself, or have GelTech run it

Download the plan, the formulation CSV and the bill of materials to run the experiment in your lab, or send it to GelTech for an indicative quote and an ML-ready data package with QC.

Build models from your own data

Find out whether your data is ready to model through Data & Models: upload a dataset, map each column, and run a quality and predictability check.

Shown: a demo model on synthetic data, as in the app. Your own models are built once your data is ready to model.

Your data stays yours

  • Encrypted in transit and at rest, and isolated per project
  • Never used to train shared models
  • IP, formulations and results stay client-owned under strict NDAs
A row of palm trees against a blue sky

Apply for the AnGel AI beta

AnGel AI is in beta for R&D teams who'll share feedback as it grows. Tell us what you're building and we'll set up a call and a walkthrough.

By sending, you agree to our terms and privacy policy. Please leave out confidential formulation details until an NDA is in place.