About TeselaGen
Pioneering the intersection of AI and biotechnology to accelerate discovery and transform how the world engineers biology.
Our Story
Large companies participating in the bio-economy are replacing traditional processes and technologies with automated workflows and AI-driven optimization. The demand for integrated platforms that unify design, build, test, and learn cycles has never been greater.
Founded by scientists and engineers from Stanford, Harvard, and University of California, TeselaGen was built to meet this challenge head-on.
Our Value Proposition
TeselaGen deploys the first solution that incorporates state-of-the-art design automation technology for biotechnology as a secure enterprise operating system.
The DBTL Cycle
Our platform is built around the Design-Build-Test-Learn cycle, providing purpose-built tools for each stage.
Design
High-throughput experiment design using machine learning-suited tools. Define combinatorial libraries, optimize codon usage, and plan assemblies with intelligent automation that scales from single constructs to thousands of variants.
Build
Automation and tracking of product development with third-party integration. Generate lab-ready protocols, manage worklists, and connect seamlessly with liquid handling robots and LIMS for end-to-end traceability.
Test
Centralized data acquisition and standardization across formats. Ingest data from plate readers, sequencers, and analytical instruments into a unified schema that makes cross-experiment comparison effortless.
Discover
Powered by proprietary Synthetic Evolution ML engine for 10x faster convergence. Leverage advanced machine learning models to identify optimal variants, predict performance, and guide the next design cycle with data-driven insights.
Application Areas
TeselaGen powers innovation across diverse fields of biotechnology.
Biological R&D
Accelerate discovery across the full design-build-test-learn cycle with integrated tools for sequence design, assembly planning, and data analysis.
Protein Engineering
Engineer proteins with desired properties using directed evolution guided by machine learning, with automated library design and screening workflows.
AgriTech
Develop next-generation agricultural products through precision trait engineering, with tools optimized for plant genomics and multi-gene constructs.
Fermentation Optimization
Optimize microbial fermentation processes by systematically exploring strain, media, and process parameters with ML-guided experimental design.
Metabolic Engineering
Design and optimize metabolic pathways for the production of valuable compounds, from biofuels to pharmaceuticals, using data-driven approaches.
Vaccine Development
Accelerate vaccine candidate design and testing through rapid construct generation, automated screening, and predictive modeling of immune responses.
Try Tesela AI for free
Design libraries, generate protocols, and optimize experiments with AI agents. No credit card required.