by Bajpai Labs · CRISPR & genomic optimization

Ranked CRISPR guides in days, not weeks.

GeneForge replaces manual guide design and slow CRO workflows with genome-wide screening that surfaces your best guide RNAs and codon-optimized constructs before a single synthesis order.

Delivery pipeline

  • Genome-Wide Screening01500K+ guide variants · off-target search · tissue chromatin weighting
  • Safety & Edit Refinement02Pathogenic loci exclusion · bystander prediction · manufacturability scoring
  • Ranked Delivery03Top 10–20 sequences · validation playbook · manufacturing-ready files
Research-grade · genome-wide · 10–14 days
Faster than manual CRO design
500K+
Guide variants screened
10–14 days
Typical delivery
The Problem

Manual guide design is slow, risky, and misses off-targets.

Off-target risk

Hand-picked guides miss cryptic off-target sites across the genome. One undetected cut at a pathogenic locus can derail an entire program.

8–10 weeks per cycle

CRO guide design and internal bioinformatics workflows take months. Manufacturing slots and IND timelines do not wait.

~50 guides evaluated

Manual design explores a tiny fraction of the search space. Most synthesized guides fail first-pass validation.

The Solution

Genome-wide guide screening that ranks your best sequences before synthesis.

  1. 01

    Upload your target

    Provide a genomic locus, base editing objective, or therapeutic construct sequence.

  2. 02

    Genome-wide pipeline runs

    Guide enumeration, off-target screening, tissue chromatin weighting, and edit outcome simulation.

  3. 03

    Ranked sequences delivered

    Top 10–20 guides or constructs with safety tiers, validation playbook, and manufacturing files.

Traditional CRO
~50 guides · 8 weeks · 60% hit rate
GeneForge
500K screened · 10 days · 100% top-5 validation
Design choices

Built for gene editing decisions, not dashboards.

Every architectural choice in GeneForge serves one goal: get your team to the right guide sequences and constructs faster—with off-target safety built in.

01
Screen before you synthesize

Most CROs design a handful of guides by hand. GeneForge screens hundreds of thousands of variants genome-wide, so you synthesize only sequences worth validating.

02
Off-target safety first

Every guide is ranked by off-target risk tier before on-target score. Pathogenic loci and essential genes are excluded before ranking begins.

03
Research rigor, gene therapy timelines

Research-driven methods from Bajpai Labs, delivered in days with full technical documentation your regulatory team can use.

04
Direct line to leadership

You work with the architects who built the pipeline, not a sales team relaying requirements to a black box.

Advanced features

The science behind CRISPR optimization.

Published, peer-reviewed methods composed with proprietary scoring from Bajpai Labs.

Genome-wide guide screening

DeepCRISPR ensemble scoring across 500K+ guide variants with tissue-specific chromatin accessibility weighting.

Off-target prediction

Cas-OFFinder, CHANGE-seq validated sites, and pathogenic loci exclusion with tiered risk classification.

Base editor optimization

BE-Hive and DeepABE ensemble for ABE/CBE guides with bystander edit prediction and edit outcome simulation.

Codon optimization

AAV and lentiviral payload optimization with CAI scoring, mRNA structure prediction, and packaging constraint enforcement.

Edit outcome simulation

In silico indel and base edit distribution prediction for preclinical planning and regulatory documentation.

Manufacturability scoring

GC content, synthesis complexity, repeat motif detection, and immunogenic epitope filtering before delivery.

Methodology

Closed-Loop Edit Calibration

Guide enumerationOff-target screeningRankingWet-lab recalibration
Iterative guide refinement

Each cycle narrows the candidate space using edit outcome data, not a one-pass screen.

Wet-lab feedback integration

Amplicon-seq and flow cytometry outcomes retrain scoring models, tightening predictions over time.

Reducing off-target risk

Closed-loop calibration catches guides that score well in silico but fail safety review in vitro.

Why GeneForge

Research rigor. Gene therapy speed.

GeneForge combines research-driven engineering from Bajpai Labs with genomic optimization expertise that most pure-software vendors lack.

  • Genome-wide by default

    Every engagement screens hundreds of thousands of variants—not a handful of hand-picked guides.

  • Off-target safety built in

    Pathogenic loci exclusion and tiered risk classification before any sequence reaches your lab.

  • Manufacturing-ready output

    Ranked sequences with validation playbooks and CMC-ready files your team can act on immediately.

  • Direct line to leadership

    You work with the architects who built the pipeline, not a sales team.

Gene editing services

Four pipelines. One editing platform.

From CRISPR guide design through codon optimization, each service shares the same genome-wide screening infrastructure and the same senior team.

All services
  1. 00

    CRISPR Guide Design

    Genome-wide · Cas9/Cas12Start here

    500K+ guide variant screening, on-target activity prediction, genome-wide off-target analysis, and tissue-specific chromatin weighting. Delivers ranked guide RNAs with safety tiers.

    Engagements typically $150K–$280K per programSee capabilities
  2. 01

    Off-Target Prediction & Safety Screening

    Cas-OFFinder · CHANGE-seq

    Genome-wide off-target search with pathogenic loci exclusion, tiered risk classification, and amplicon sequencing panel design for confirmation.

    Engagements typically $150K–$250K per programSee capabilities
  3. 02

    Base Editing Guide Optimization

    ABE · CBE · bystander control

    Protospacer enumeration, on-target edit prediction, bystander edit modeling, and edit outcome simulation for ex vivo and in vivo programs.

    Engagements typically $200K–$320K per programSee capabilities
  4. 03

    Codon Optimization & Edit Simulation

    AAV · lentiviral · expression

    Codon optimization for gene therapy payloads, expression simulation, packaging constraint enforcement, and genome edit outcome modeling.

    Engagements typically $250K–$400K per programSee capabilities

by Bajpai Labs

Ready to synthesize only your best guides?

30-minute intro call with the Bajpai Labs team. No pitch deck, just a scoping conversation.