Starter
$0/month
For researchers evaluating Synthera for initial scientific discovery workflows.
- Up to 25 guided prompts per month
- Basic materials discovery workspace
- Community discord support
Design performance-verified and production-ready materials with our state-of-the-art AI agent, Raven.
Materials discovery relies on trial-and-error iteration, consuming months of R&D cycles for each synthesis pathway.
Polymer synthesis planning requires rare domain expertise, creating bottlenecks and single points of failure in research teams.
Photonics and semiconductor R&D is fundamentally limited by materials iteration speed, not computational or fabrication capacity.
Synthera's flagship AI product, Raven, is an AI copilot purpose-built for materials discovery & synthesis planning in advanced R&D labs. Our platform generates manufacturable, production-ready molecular formula and synthesis routes optimized for commercial competitiveness.
Rapidly discover and propose molecules from target material specifications or molecular properties.
Automatically design feasible polymer synthesis pathways from discovered molecular formula.
Integrates chemical feasibility constraints, semiconductor process compatibility, and photonic material requirements.
Generates synthesis routes that chemists can validate and execute directly, reducing ideation-to-bench time by 10x.
User defines target polymer properties, molecular structure, or material performance requirements for your photonic or semiconductor application.
Our Raven copilot discovers and proposes the appropriate molecular candidates based on your target specifications. The synthesis planning engine evaluates feasible pathways, scoring for chemical viability, cost, and process compatibility.
Simulation verifiers review AI-generated routes, validate assumptions, and let scientists proceed directly to lab synthesis with confidence.
Synthera serves R&D teams at the intersection of chemistry, materials science, and next-generation semiconductor manufacturing.
Accelerate photoresist and polymer dielectric development for advanced node processes.
Design polymers for waveguide cladding, optical adhesives, and electro-optic materials.
Streamline polymer synthesis for specialty materials, coatings, and functional compounds.
Enable rapid iteration on novel polymer architectures and material property optimization.
Start exploring with a lightweight plan, then scale into production-grade scientific AI workflows as your team grows.
For researchers evaluating Synthera for initial scientific discovery workflows.
For individual scientists running recurring materials discovery & synthesis planning experiments.
For advanced R&D teams using Synthera as part of a daily production-grade technical workflow.
For corporate and industrial partners deploying Synthera across multiple programs and platforms.
Synthera combines deep expertise across materials science, scientific AI, and venture building, with our founding team from UIUC, UC Berkeley, UBC, and Shanghai Jiaotong University.
CEO
Chief Scientist
CTO / Chief AI Architect
COO
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