---
url: https://invertbio.com/solutions/oligonucleotide
path: /solutions/oligonucleotide
kind: marketing
---

Oligonucleotides & Small Molecule

# Complex chemistry. Connected process data.

Oligo and small molecule programs create valuable process data across synthesis, purification, and analytical work, but that data rarely lives in one place. Invert helps your team connect the full batch story, so you can compare faster, scale more confidently, and carry hard-earned development learning forward.

[Book a demo](/demo)

The problem

## From synthesis to final quality, connected.

Oligonucleotide and small molecule development depends on understanding how chemistry, purification, and analytical outcomes connect across batches. Teams working on ASOs, siRNAs, GalNAc conjugates, and other complex modalities need to track how synthesis conditions, cleavage and deprotection, purification methods, impurity profiles, and final product quality change across scales and process versions.

That is hard when synthesis data, purification data, and analytical results live in different systems or files. Comparing full-length product purity, n-1 impurity levels, step yield, batch-to-batch consistency, and cost of goods often requires manual aggregation every time. As programs move toward scale-up, CDMO transfer, or commercial manufacturing, the optimization context that development built can become difficult to access right when it matters most.

Invert gives teams a connected foundation for process data across synthesis, purification, and analytical workflows. Your team can trace each batch from process conditions to final quality outcomes, compare batches without rebuilding the analysis, and preserve the process learning needed to improve scale-up success.

Capabilities

## Easily answer questions like:

-   Across my last 20 ASO syntheses, what coupling step is driving most of the impurity burden?
-   Compare crude purity and step yield across the last three synthesis columns.
-   For the API crystallization, compare particle size distribution across our last 10 batches and flag outliers.
-   Which reaction temperature and solvent ratio combinations have historically given the cleanest impurity profile?
-   Compare HPLC method performance across our QC lab and the CDMO’s — are the impurity profiles aligned?
-   For the ASO purification, what’s the tradeoff between resin loading and full-length product recovery?

How we deliver

## We help your team keep chemistry, quality, and scale-up connected.

01

### Connect the full batch story

Invert brings synthesis, purification, and analytical data into one organized layer. Your team can understand how process conditions connect to purity, yield, impurities, and final batch outcomes without stitching the story together by hand.

02

### Compare batches without the rebuild

Oligo and small molecule teams need to compare across conditions, scales, process versions, and purification methods constantly. Invert makes those comparisons easier to run and repeat, so teams can spend less time aggregating data and more time deciding what to improve next.

03

### Carry development learning into scale-up

Scale-up and tech transfer should not lose the optimization work your team already did. Invert keeps development context, batch history, and process decisions organized, so teams can move toward larger scales with more confidence.

Explore the product

## The product behind every batch.

[Foundation

### Synthesis, purification, and analytical — one connected record.

Invert brings chemistry, quality, and analytical data into one traceable layer, so you can follow each batch from process conditions to final outcome.

Explore Foundation](/product/foundation) [Intelligence

### Your hardest oligo questions, answered in minutes.

A bioprocess-native AI teammate that compares batches across conditions, scales, and process versions — and preserves the development context for scale-up.

Explore Intelligence](/product/intelligence)

Case study · CMC Biologics

3,046

FTE hours saved per program

~98%

reduction in manual data effort

3 weeks

to start monitoring your first run

[Read the full case study](/case-studies/cmc-biologics)

## Scale with the chemistry intact.

Bring a purity investigation, a scale-up comparability question, or a CDMO transfer that’s lost the development context. In 30 minutes we’ll show you what your batch history looks like on one connected record.

[Book a demo](/demo)
