Services
Algorizk Labs helps technology companies investigate difficult mathematical problems, design new cryptographic protocols, verify correctness-critical components, and prepare technical ideas for efficient implementation.
Ways to work together
For companies with an important technical question that requires rigorous analysis before committing engineering resources.
Typical deliverables
Typically structured as a focused one-to-two-week engagement.
For teams requiring an original construction, a new protocol component, or a meaningful improvement to an existing system.
Typical deliverables
Structured around clearly defined technical milestones.
A time-boxed engagement designed to transform a promising research direction into a testable technical result.
Typical deliverables
Usually delivered through a two-to-four-week research sprint.
For proof systems and cryptographic workloads with significant arithmetic or prover-performance bottlenecks.
Typical deliverables
Defined according to the protocol and target hardware platform.
Ongoing senior research involvement for startups that need specialized expertise without building a full internal laboratory.
Typical deliverables
Organized as a recurring monthly research collaboration.
Technical questions
Algorizk Labs works with teams when the important question sits between mathematical design, cryptographic correctness, software performance, and hardware architecture.
The first step is to identify the dominant cost rather than optimize every layer at once. Depending on the proof system, the bottleneck may come from finite-field arithmetic, polynomial evaluation and folding, hashing or commitments, memory movement, or implementation architecture. Algorizk combines mathematical analysis, profiling, algorithmic redesign, and prototype benchmarks before recommending an optimization path.
FPGA acceleration is most useful when an expensive kernel is repeated, structurally regular, parallelizable, and suitable for a custom arithmetic or memory architecture. A feasibility study should compare throughput, latency, memory traffic, hardware resources, implementation effort, and the existing CPU or GPU baseline before committing to RTL development.
Selected Sumcheck and finite-field kernels can expose regular arithmetic and structured memory access that map well to FPGA architectures. Algorizk has built and hardware-validated a Mersenne-31 Sumcheck prover core, connecting protocol structure to RTL architecture, timing, resource use, and experimental validation.
External R&D is valuable when an engineering decision depends on mathematics, protocol design, formal reasoning, or performance architecture and the team needs evidence before committing a larger implementation effort. The goal is to turn an uncertain technical question into a validated direction.
See the FPGA Sumcheck case study for a concrete hardware-validation example.
Working method
Clarify the research question, constraints, success criteria, and expected deliverables.
Study the mathematical structure, relevant literature, and possible technical approaches.
Test the strongest ideas through mathematical proofs, machine-checked formalization, experiments, prototypes, or performance models.
Provide a clear technical result, documented conclusions, and a practical path forward.
Start a conversation
Tell us what you are trying to prove, optimize, or implement. We can begin with a focused technical assessment of the problem, risks, and possible research directions.
Screened inquiries
Submit a concise, non-confidential description through the dedicated project inquiry form.
Direct contact information and a secure communication channel can be provided after the initial inquiry has been reviewed.
Submit a project inquiry