Translate research questions into scalable, sandboxed workflows across HPC or cloud.
Turn natural queries into powerful parallel processing pipelines. Scale biological data analysis—no coding required.
Piloting with research labs and genome facilities
Try Demo →The Life Sciences Data Bottleneck
Genome annotation pipelines take 2–6 weeks per study; 80% is spent on scripting and cluster wrangling instead of discovery.
Complex Processing
Biological data analysis requires specialized knowledge and custom coding for each dataset type.
Data Quality Drag
Inconsistent metadata, mislabeled samples, duplicates, and contamination undermine results and burn weeks on manual curation.
Infrastructure Burden
Researchers must manage servers, dependencies, and parallel performance instead of focusing on science.
Slower Discovery
Time spent on technical setup delays the real work of biological discovery and insight generation.
A10i: Natural Query → Intelligent Processing
Our agentic platform translates natural queries into sophisticated parallel workflows. Just describe your analysis needs and watch AI agents process your biological data across distributed workers.
Core Innovations
Our platform is built on a foundation of cutting-edge AI and data engineering.
Natural Query → Spec DSL
Describe your analysis in plain language. Our system converts it to executable specifications.
Automated Data Cleaning
Detects mislabeled records, duplicates, contamination, and inconsistent metadata; preserves raw vs. curated views with provenance.
Agent MapReduce Engine
Specialized AI agents process your biological data in parallel across distributed infrastructure.
Secure Sandbox
All processing happens in isolated, secure environments. Your data stays protected throughout the workflow.
Our Team
Our team brings over 20 years of combined expertise in software engineering, AI/ML, and data science, with a deep specialization in computational biology and bioinformatics.
Get Started
Ready to transform your biological data processing? Start with our demo platform and see how natural language queries become powerful parallel workflows.