Generate novel antibodies, CAR T receptors, nanobodies, and humanized variants in minutes. BiCell AI combines advanced structural modeling with machine learning to streamline complex design workflows.
BiCell AI bridges the gap between complex machine learning models and actionable wet-lab candidates.
Move from target selection to candidate generation in a fraction of the traditional development timeline. Generate viable candidates in hours instead of months.
Our models evaluate structural compatibility, binding interactions, and sequence optimization simultaneously, ensuring high-affinity, developable candidates.
Maintain complete flexibility with our credit-based system. Pay only for the simulations you run, with no recurring monthly or annual platform fees.
Select a specialized AI model tailored to your therapeutic modality. Each simulation yields fully optimized sequence and structural data.
Generate fully human antibody candidates designed specifically against your target antigen. Our AI models evaluate structural compatibility, binding interactions, and sequence optimization in real-time.
Design novel CAR-T receptor binders capable of targeting new tumor-associated epitopes beyond the limitations of existing antibody libraries.
Rapidly create highly stable single-domain nanobody candidates capable of binding difficult, hidden, or previously inaccessible protein targets.
Transform non-human antibody sequences (e.g., murine, rabbit) into human-compatible variants while preserving structural integrity and binding affinity.
Say goodbye to restrictive monthly subscriptions. BiCell AI operates on a transparent credit system designed for academic researchers, agile biotech companies, and global pharmaceutical teams alike.
Your purchased credits stay in your account indefinitely until you use them.
Run 1 or 100 simulations concurrently. Top up whenever your pipeline demands more computing power.
Choose a credit volume that matches your pipeline scale. Volume discounts apply automatically.
Perfect for pilot projects and academic validation.
Optimized for active therapeutic pipelines.
For high-throughput discovery campaigns.
A streamlined, secure, and intuitive process built for modern discovery teams.
Register in seconds. Academic researchers and biotech teams receive complimentary starter credits to run initial tests.
Purchase the exact credits required for your campaign. No contracts, no subscriptions, and total cost transparency.
Input your target antigen sequence or upload structural coordinates. Adjust parameters like binding constraints and humanization thresholds.
Receive fully optimized sequences, binding affinity predictions, and high-resolution 3D structural models (PDB format).
BiCell AI was founded with a singular mission: to democratize advanced computational protein engineering. Traditional antibody discovery is plagued by long timelines, high failure rates, and exorbitant costs.
By leveraging state-of-the-art deep learning architectures trained on vast structural databases, we enable researchers to design high-affinity biologics entirely in silico, dramatically reducing wet-lab validation cycles.
We believe that breakthrough therapeutics shouldn't be locked behind enterprise-only software contracts. Our platform is built to scale from individual academic labs to global research organizations.
Have questions about our AI models, custom enterprise integrations, or credit purchases? Contact our scientific support team today.
Our scientific support team will review your inquiry and reach out within 24 business hours.