Problem & approach
Computational Design for Immune-Evasive Therapies.
Leveraging structural biology models to engineer biocompatible interfaces for cellular transplantation. This is a methodical, model-driven approach—built to earn regulatory confidence without promising instant cures.
Readiness snapshot
Workflow transparency
Design → Simulate → Fabricate: every step is versioned with audit-ready data for regulatory reviewers.
Agent-driven precision
Surface-engineered cell therapies tuned by autonomous design loops to evade immune detection.
Macro-encapsulation system
Retrievable macroencapsulation with controlled permeability for nutrients and secreted factors, designed to minimize host immune recognition.
Clinical pragmatism
Manufacturability, sterilization, and regulatory pathfinding baked into the design loop from day zero.
The Arcis Aegis macro-encapsulation system
Dual-layer architecture, designed to minimize host immune recognition.
A macro-encapsulation system that blends computational design with controlled porosity. Tuned for oxygen exchange and factor secretion while reducing immune visibility.
Molecular Stealthing
AI-mutated surface proteins reduce HLA visibility and blunt innate sensing while preserving therapeutic function.
The Aegis Shield
Macro-encapsulation pouch with tunable porosity for oxygen exchange and surface optimization informed by structural models.
Dual-layer architecture: tunable porosity for oxygen exchange + computational surface optimization.
Development pipeline
Built for speed, audited for rigor.
We compress discovery to preclinical readiness with explicit checkpoints for immunogenicity, manufacturability, and surgical usability. Every handoff is versioned and reviewable.
Design: Computational interface design and epitope minimization.
Simulate: Porosity modeling, immune-docking stress tests, and permeability simulations.
Fabricate: Prototyping and physical validation of prioritized constructs and devices.
Qualify: Performance characterization and manufacturability checks.
Document: Regulatory-ready data packs with audit trails and APIs.
Technology stack
Validating computational predictions with established structural biology methods to confirm stealth mutations.
An autonomous loop where expert models score protein sequences against immunogenicity constraints, iteratively evolving low-cohesion candidates.
Physics-based simulations to assess stability and prioritize candidates before physical fabrication.
Structured data management ensuring full traceability from computational design to experimental results.
Development pipeline
Program snapshot
Transparency on modality, indication, and stage for current Arcis programs.
Scientific credibility
Scientific Network
Building a network of advisors across transplant surgery, immunology, and structural biology to guide our pre-clinical roadmap and data integrity frameworks.
Research Focus
- • Computational surface engineering for immune evasion (In-silico validation).
- • Specialized macroencapsulation permeability modeling.
The Cohesion Loop
Our specialized LangGraph agentic workflow autonomously cycles through generation, simulation, and judging. An LLM expert analyzes simulation data to iteratively mutate sequences, minimizing T-cell cohesion for enhanced immune evasion.