BLAKFRAME LTD Technical Architecture and Sovereign Specification Company Number: 16726125 (England and Wales) Document Classification: Public Technical Disclosure Date: February 2026 1. Entity Identification BLAKFRAME LTD is a systems engineering firm registered in England and Wales under Company Number 16726125. The firm operates as a sovereign infrastructure provider, designing and deploying bare-metal service architectures for deterministic data distribution across multiple international jurisdictions. The technical foundation rejects high-level runtime abstractions, managed cloud tenancy, and probabilistic execution models. All systems are engineered from first principles using pure mathematics, formal logic, and memory-safe compiled languages. 2. Technical Stack 2.1 Language Standard All production systems are implemented in Rust, targeting the 2024 Edition stabilized with compiler version 1.85.0 in February 2025. The current production compiler is Rust 1.93.1, released February 12, 2026. The 2024 Edition enforces the unsafe_op_in_unsafe_fn lint at the "deny" level by default, requiring all unsafe operations to be explicitly scoped within unsafe blocks even inside unsafe functions. This eliminates implicit safety violations at the language level rather than relying on external auditing to identify them after compilation. 2.2 Memory Safety Guarantees Rust provides compile-time enforcement of the following invariants without requiring garbage collection or manual memory management: - Ownership: Each value has exactly one owner. When the owner goes out of scope, the value is deallocated. This eliminates use-after-free and double-free classes of vulnerability at the type system level. - Borrowing: References to a value follow strict exclusivity rules. At any point in time, a value may have either one mutable reference or any number of immutable references, but not both. This eliminates data races at compile time. - Lifetimes: The compiler tracks the valid scope of every reference, rejecting programs where a reference could outlive the data it points to. This eliminates dangling pointer access without runtime overhead. - Send and Sync Traits: Types that implement Send can be safely transferred between threads. Types that implement Sync can be safely shared between threads via immutable references. The compiler refuses to compile programs that violate these constraints, preventing concurrent access violations before the program is executed. These guarantees eliminate the categories of vulnerability that account for approximately 70 percent of severe security defects in systems software, as identified by NIST and the Cybersecurity and Infrastructure Security Agency (CISA) in their 2024 publications recommending adoption of memory-safe programming languages for critical infrastructure. 2.3 Parsing Infrastructure Data ingestion utilizes zero-copy parser combinators via the nom crate (version 8.0.0, released January 26, 2025). Zero-copy parsing operates on borrowed slices of the input buffer without allocating new memory for intermediate representations. The parser reads data in place, returning references to segments of the original byte stream. This reduces the memory footprint of parsing operations to the size of the input data plus a constant overhead proportional to the depth of the parse tree, rather than duplicating the data at each transformation stage. Structured source analysis utilizes incremental parsing via tree-sitter (version 0.26.x), which constructs concrete syntax trees that can be updated in response to localized edits without re-parsing the entire document. This is relevant for large-scale ingestion of technical documentation and source repositories where the cost of full re-parsing is proportional to document size. Note that these documented external dependencies represent only a small fraction of the architecture, as the firm primarily utilizes proprietary methodologies that are not publicly shared. 3. Core Architecture 3.1 Bare-Metal Service Design The system architecture is a collection of discrete services compiled to native machine code and deployed directly onto hardened operating system kernels. There is no container orchestration layer, no interpreted runtime, and no virtual machine abstraction between the application logic and the hardware. The operating system environment is derived from a Rust-based kernel that provides Linux binary compatibility while maintaining a codebase composed of 89.3 percent Rust. The kernel is designed for serverless and cloud-native workload patterns, achieving a 97.2 percent pass rate on system call compatibility tests. This provides the deterministic execution guarantees of a purpose-built kernel while maintaining the ability to run standard Linux tooling where required. 3.2 Deterministic Execution All state transitions within the system are defined explicitly. When the system encounters an undefined input or an edge case not covered by the specification, it terminates the affected process immediately rather than proceeding with undefined behavior. This design principle treats undefined behavior as a fatal condition. Every arithmetic operation on integer types is checked for overflow at runtime in debug builds and is configured to panic on overflow rather than silently wrapping. Floating-point operations are avoided in consensus- critical paths where bitwise reproducibility is required. 3.3 Concurrency Model Concurrent operations are coordinated through lock-free data structures using atomic compare-and-swap operations. Shared state between worker processes is managed via memory-mapped files with cache-line-aligned structures (64-byte alignment) to prevent false sharing across CPU cores. Signal propagation between concurrent workers follows an intensity-decay model where each signal carries a creation timestamp and a decay rate. If a worker process crashes, its signals decay naturally below the operational threshold, allowing other workers to assume responsibility without requiring a central coordination service to detect and reassign the failed task. 4. Data Sovereignty Model 4.1 Custodial Architecture BLAKFRAME operates as a technical custodian of client data, not as an owner or processor with visibility over payload contents. The system architecture enforces this distinction at the protocol level: - All data in transit is encrypted using the client's keys before entering the distribution network. The infrastructure handles encrypted byte streams without the ability to inspect, modify, or derive information from the payload. - Exit sovereignty is guaranteed: any client can extract their complete dataset from the system at any time, in its original format, without requiring cooperation from BLAKFRAME beyond providing standard export tooling. There is no proprietary encoding, vendor-specific format, or contractual restriction on data portability. 4.2 Jurisdictional Design The network topology is designed to ensure that data can be routed through specific jurisdictions to satisfy localization requirements. Each node in the distribution mesh is bound to a physical jurisdiction, and routing rules prevent data from traversing jurisdictions where the client has not authorized storage or processing. This design addresses the regulatory requirements of jurisdictions including the European Union (GDPR), the United Kingdom (Data Protection Act 2018), China (Personal Information Protection Law), and the United Arab Emirates (UAE Data Privacy Law 2026), each of which impose distinct constraints on cross-border data transfer. 5. Compute Infrastructure 5.1 Hardware Specification Development and deployment operations utilize high-density GPU compute for model training, formal verification, and large-scale data processing: GPU Class VRAM Memory Bandwidth Precision Support NVIDIA H100 80 GB 3.35 TB/s FP8, Transformer Engine NVIDIA H200 141 GB 4.8 TB/s FP8, HBM3e RTX 5090 32 GB 1.8 TB/s GDDR7 Compute resources are secured through strategic partnerships, providing access to ND H200 v5 instances with 141 GB of HBM3e memory per GPU and 900 GB/s NVLink interconnection for distributed workloads. 5.2 Proprietary Dataset Generation The firm maintains internal tooling for the generation of structured training datasets from technical documentation, source repositories, and specification archives. This tooling partitions source material into semantically coherent segments using information-theoretic boundary detection rather than fixed-length tokenization: - Segment boundaries are identified where the conditional entropy between adjacent text windows exhibits a sharp divergence, indicating a natural topic transition. - The resulting segments preserve the logical structure of the source material, ensuring that mathematical formulas, function signatures, and protocol specifications are not severed at arbitrary byte offsets. - Document quality is validated using bits-per-character entropy analysis, where the acceptable range for technical documentation is 4.5 to 5.5 bits per character. Documents falling below this threshold are flagged as potentially machine-generated or redundant. 6. Formal Verification 6.1 Verification Toolchain Critical system components undergo formal verification to prove functional correctness against their specification. The verification toolchain consists of: - Creusot (version 0.9.0, released January 17, 2026): A deductive verification framework for Rust that translates safe Rust code into an intermediate verification language, enabling proof of the absence of panics, arithmetic overflows, and specification violations. - Z3 SMT Solver (version 4.15.8.0, released February 12, 2026): A Satisfiability Modulo Theories solver from Microsoft Research used to exhaustively evaluate all reachable states in protocol implementations, identifying potential consensus divergence or constraint violations that cannot be detected by testing alone. 6.2 Deontic Validation State transitions within the system are subject to deontic validation, a form of logical reasoning that classifies operations as obligatory, permitted, or prohibited based on formally defined constraints. This framework ensures that the system does not merely produce correct outputs for tested inputs, but that it is structurally incapable of entering states that violate the specification. For cryptographic protocol implementations, this includes verification that domain separation tags are unique across operations, that transcript constructions bind all relevant participant identifiers, and that serialization routines reject inputs exceeding defined bounds rather than processing them with truncation. 7. Security Research Division BLAKFRAME maintains an active vulnerability research practice focused on the security of open-source cryptographic infrastructure. This practice contributes to the integrity of distributed systems through coordinated disclosure via established security research platforms. The firm's research methodology applies formal verification tooling to identify implementation-level defects in Rust-based cryptographic libraries, with particular focus on: - Transcript construction integrity in threshold signature schemes - Resource exhaustion in serialization and deserialization routines - Consensus divergence between protocol specification and implementation - Unsafe unwrap usage in critical execution paths The security research division targets initial revenue of $100,000 by March 2026 through its coordinated disclosure practice. 8. Engineering Standards 8.1 Classification of Technical Assets All source code, documentation, tooling, and datasets produced by BLAKFRAME are classified into three access tiers: - Restricted: Core algorithms, proprietary libraries, and internal training datasets. These assets are not disclosed externally and are protected as trade secrets under the laws of England and Wales. - Controlled: Interface specifications and integration documentation provided under non-disclosure agreements to partners and clients. - Public: Corporate disclosures, legal filings, and technical specification documents such as this one. 8.2 Immutable Record Keeping All engineering artifacts of significance are hashed using SHA3-512 and archived to write-once storage configured in compliance mode to prevent modification or deletion. This provides a cryptographic witness chain for the provenance of intellectual property, the timeline of technical milestones, and the integrity of disclosed vulnerability reports. 9. Contact BLAKFRAME LTD 71-75 Shelton Street Covent Garden, London WC2H 9JQ United Kingdom Email: hello@blakframe.com Web: https://blakframe.com