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Where AI in Genomics
Meets Clinical Impact        

Meet Us At #Booth 1822

ASHG 2026 | October 20–24 | Montréal, Canada

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Still grappling with genomics challenges? Leverage the new-age AI to solve them faster. See how precision diagnostics teams use AI to interpret variants, integrate multi-omics data, and scale clinical workflows without scaling headcount.

As variant interpretation bottlenecks and multi-omics integration become urgent, see how ClairLabs delivers AI-powered genomics workflows built for audit-ready clinical insight.

Schedule a Meeting

ClairLabs Platforms and Solutions
That Move the Needle   

Impactomics

Our Flagship Multi-omics Platform

See how Impactomics powers end-to-end genomic data analysis, from raw FASTQ to clinical-grade reports. Built for clinical genomics laboratories and research teams that need speed, traceability, and compliance in a single platform.

What you'll see:

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ClairOS

Multi-agent AI for Variant Intelligence

ClairOS is an orchestrated, multi-agent AI system built for genomic data interpretation with AI. It coordinates specialized agents across variant calling, evidence synthesis, and classification — delivering faster, more consistent results than single-model approaches.

What you'll see:

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  50–70% Faster TAT 

Analysis that took days now completes overnight

2X Analyst Throughput  

While AI handles triage, your experts handle decisions

10–15% higher diagnostic yield  

AI catches variants that manual
review misses

20–30% cost reduction

Automation removes redundant compute and manual effort

Meet Our Leaders at Booth #1822  

chandra
Chandra Ambadipudi  Co-founder & CEO AI-genomics strategy | Enterprise value | Data governance
pankaj
Pankaj Gaddam   Co-founder & CTO  Technical architecture | Cloud infrastructure | AI platform engineering
amit
Amit Parhar    Senior Director, Strategic Sales Workflow ROI modeling | Partnership frameworks | Go-live planning for AI diagnostic & pharma teams
vivek
Dr. Vivek Gopalan      Director, Data & Bioinformatics Engineering NGS pipeline architecture | Cloud-native bioinformatics | Multi-omics data integration | Variant-calling optimization
Contact-us 3-1

Encountering business challenges that are costing
you time, accuracy, and throughput?

Our Focus Areas at ASHG 2026 

This year's ASHG program reflects the exact challenges ClairLabs solves.
Here's where our work intersects with the conference's most-watched themes.
Vect1
AI-driven Variant Interpretation   

ASHG 2026 hosts a dedicated workshop on best practices for AI in clinical genome analysis. ClairLabs has operationalized this. Our AI clinical decision support workflows deliver automated ACMG classification with explainable, traceable outputs.

Vect2
Multi-omics for Rare Disease  

A confirmed hands-on ASHG workshop focuses on using AI-enhanced multi-omics tools to solve rare and undiagnosed diseases. Impactomics integrates genome, exome, RNA-seq, and methylation data into one analytical layer.

Vect3
Scalable Infrastructure for Genomics at Scale

As sequencing volumes outpace legacy systems, ClairLabs' cloud-native architecture and API-first data engineering let labs scale interpretation and reporting without scaling headcount, infrastructure spend, or specialist hiring.

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Responsible AI in Clinical Genomics

ASHG's ELSI sessions address AI ethics, genetic privacy, and transparency. ClairLabs designs every solution with explainable AI at the core. No black boxes. Every recommendation is auditable.

See You at ASHG! 

Whether you're looking to pilot a genomic variant analysis platform, explore AI in genomics for your rare disease program, or evaluate how data engineering and governance can future-proof your lab.

Download the Whitepaper

Reducing the Manual Curation Burden for NGS