Skip to content
Now looking for synthesis, analytics and data partnersPartnerships

Peptides and AI, in one loop.

Explore the platform

Better peptides start with better data.

Pulse Molecular is a young company from Hong Kong, working where peptide science meets AI. We are building a loop: explore designs on screen, have them made by partners, measure every batch independently and turn each measurement into structured data. Our aim is models that learn from that data and make the next design better.

Pulse Enterprise Limited, Hong Kong

Verified production

Measured, not assumed

Partners make the peptides, an independent laboratory measures every batch for HPLC purity and endotoxins. Each result becomes a structured data point, the material we are building our models on.

How we measure

Partnerships

Build the loop with us

Synthesis, fill and finish, analytical laboratories, packaging, research and data: every partner adds a step to the loop and new data to learn from. We are looking for partners who want to grow with a young company.

Become a partner

Small team, sharp focus

Pulse Molecular is a young team working across peptide science, data and software, led by director Kalani Ginepri. Partners talk directly to the people who decide.

Who we are

Peptides and AI

01 Read

Readable data

Chromatograms, mass spectra and endotoxin results usually arrive as documents. We are building tools that turn them into structured, comparable data.

02 Anticipate

Earlier signals

Our aim is models that read sequence, structure and analytical data together, so quality and stability questions surface before the next batch is made.

03 Design

Variants on screen

We want to compare sequence variants and modifications computationally first, together with partners, and send only the promising ones to synthesis.

04 Learn

A loop that learns

Every measurement goes back into the data. That is how we aim to make each design round better informed than the one before.

Three capabilities, one loop

Peptide intelligence, AI-guided design and verified production. Each one feeds the next, and every batch adds to the data we are building our models on.

Capabilities