01

drip · for researchers

the unified peptide pipeline. one api. one vendor.

discovery, prediction, structure, simulation, scoring, and calibration ship as one call. delivered via licensed Aurora technology, priced per pipeline run, available to academic labs, biotech teams, and regulated industry.

aurora-licensed technology · drip-operated pipeline · output-only api

02

capabilities

drip vs the field

drip delivers the unified peptide pipeline via licensed aurora technology.

axisdripcradlebiolmchromaesm3rfdiffusiontamarindmenten
vendors needed to replicate drip's pipeline14545634
unified pipeline (discovery → predict → fold → sim → score → calibrate)·······
on-chain attestable results (uma oracle)·······
customer-isolated prediction (inputs not retained or shared)······
public api with pipeline-runs pricingenterprise only·limitedself-host·

replicating drip via a competitor stack: roughly $8k to $15k a month, plus six weeks of integration engineering. drip delivers the same outcome through one api call.

03

example

python client

installable from pypi at alpha launch.

from drip_peptides import DripClient

client = DripClient(api_key="...")
result = client.generate(
    profile={"targets": ["anticancer"], "length_range": [8, 14]}
)

04

pricing

priced per pipeline run

tierwhopriceincludesquota
open researchacademic labs, .edu, peer-reviewed publishersfreediscovery + predict onlyrate-limited, attribution required
labsmall bio labs, postdoc-budget research$499 / mofull pipeline (discovery → fold → simulate → score)1,000 pipeline runs / mo
biotechbiotech teams, scaled research workloads$2,499 / mofull pipeline + customer-isolated prediction enabled10,000 runs / mo, priority queue
enterpriseregulated industry, dedicated workloads$25k / mo + $25k setupunlimited runs, dedicated infra, customer-isolated prediction, SLAunlimited
desci$DRIP-denominated, deferred post-launchpost-launchprediction-market integrations + on-chain attestationtba

a pipeline run is one full call covering discovery, prediction, structure, simulation, and scoring. customer-isolated prediction means your inputs are not retained or used for shared model updates; this is not probability calibration in the post-hoc ML sense.

05

data handling

what we log and what we don't

we log the minimum metadata required for billing and abuse prevention: request timestamps, pipeline-run counts, tier identity, and error codes. this is what the invoice and rate-limiter run on. nothing else is retained at the account level.

sequence content submitted to predict, generate, fold, simulate, and score endpoints is not retained beyond job completion plus a 24-hour debug window. after that window closes, the submitted sequence is not recoverable from drip infrastructure. it is not written to any persistent store, not indexed, and not accessible to drip staff outside the debug window.

submitted sequences are not used for corpus updates, model retraining, or any shared model updates. the underlying peptide stack is licensed from Aurora; drip operates the inference pipeline and delivers output only. no customer input feeds back into the model. this applies at all tiers including customer-isolated prediction.

06

alpha access

request access

researcher access opens open-research-tier first. submit below; we'll reach out when your slot is live.