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Insight Solutions

Transform gene editing workflows with real-time kinetic insights.

Maximize efficiency from discovery to commercialization with the CRISPR Analytics Platform™.

CRISPR Analytics Platform™

A failed CRISPR run leaves you with many questions. Quantitative kinetics help you answer them—before you spend weeks on downstream assays.

  • Was the gRNA design suboptimal for efficient RNP formation?
  • Did the Cas protein and gRNA combine properly to form the RNP complex?
  • How strong was the binding affinity to the target DNA?
  • What was the cleavage efficiency?

About CRISPR QC™

Confidently optimize key steps of your CRISPR workflow

Leverage insight solutions to gain accurate, reproducible data for confident decisions—from early discovery through manufacturing.

Empower discovery, development, and manufacturing with real-time quantitative insights into RNP formation, DNA target binding kinetics, cleavage activity, and more.

Discover more

Insight Solutions

Three kinetic pillars for your CRISPR program

Direct measurement of nucleic acid–protein interactions and cleavage—so you can troubleshoot faster and scale with confidence.

RNP formation

Pre-screen gRNA efficiency, RNP assembly, and stability before costly sequencing and screening confirmation experiments.

  • Identify the most effective gRNA
  • Optimize multiplex gRNA & ratios
  • Detect gRNA lot-to-lot variability

DNA target binding

Measure binding of target DNA amplicons to immobilized RNPs in real time to capture CRISPR-Cas DNA binding activity.

  • Quantify binding of RNPs to amplicon
  • Optimize designs or Cas proteins
  • Understand environmental factors

Cleavage

Detect CRISPR-Cas cleavage activity in real time with high sensitivity on the CRISPR Analytics Platform™.

  • Quantify cleavage efficiency
  • Increase reproducibility
  • Identify Cas activity variation

Why CRISPR QC

Accelerate gene editing decisions with measurable insight

Move faster by revealing what actually changes between doses, deliveries, reagents, and designs—before time and effort are lost.

Mechanism-aware measurement

Assays designed to surface functional behavior inside cells—not black-box endpoints that hide why outcomes change.

Time-resolved functional insight

Multi-parameter readouts that clarify how dose, delivery, and reagent performance drive editing outcomes over time.

0% Fewer blind optimization cycles
0–5 Actionable decisions per experiment
0–6× Faster identification of failure modes
0 Assay to compare doses, lots, and vendors

THE FUTURE OF CRISPR EFFICIENCY

Your journey

Four simple steps from challenge to insight

  1. 1

    Describe your workflow

    Share targets, reagents, and what “good” looks like for your program.

  2. 2

    Design the pilot

    Our team proposes a focused assay plan aligned to your decision points.

  3. 3

    Run & measure

    Execute kinetic measurements on the CRISPR Analytics Platform™.

  4. 4

    Deliver insight

    Receive a clear report and recommended next steps to de-risk what comes next.

Testimonials

What teams value most

“Kinetic insight turned our CRISPR troubleshooting from guesswork into measurable comparisons between designs.”

Discovery lead · Gene editing program

“We reduced iterative screening costs by catching RNP assembly issues upstream.”

Manufacturing scientist · Cell therapy

“The platform helped us compare binding behavior under conditions that mimic our real process.”

Platform engineer · Synthetic biology

Featured use cases

Explore how researchers streamline gene editing workflows

Representative topics aligned to resources on crisprqc.com.

Case studies · July 25, 2024

Optimizing RNP complexes and improving multiplex efficiency

Data-driven gRNA selection and complex optimization using quantitative kinetic readouts.

View resources

Case studies · July 25, 2024

Accelerating optimization with quantitative DNA binding analysis

Therapeutic development teams use binding kinetics to compare candidates with confidence.

View resources

Case studies · July 25, 2024

In vitro cleavage assays that streamline workflows

High-sensitivity cleavage detection to quantify efficiency and variability.

Explore more use cases

Technology

Introducing the CRISPR-Chip™

Meet the graphene-based biosensor foundation behind quantitative in vitro analysis of CRISPR-Cas biochemistry.

Courtesy of UC Berkeley — learn how the chip enables kinetic measurements that support confident decisions.

CRISPR editing success starts with better measurements

Talk to our team about your research challenges and goals.

Contact us