SYS.STATUS: NOMINAL
Moving beyond cloud-dependent AI. Quaerite deploys completely self-contained, hardware-elastic neuro-symbolic nodes directly onto corporate workstations, data rooms, or tactical edge hardware. Zero external APIs, Z3 + WebAssembly mathematical proof gates, Lorentz ℍ³¹ hyperbolic memory, and continuous on-device execution.
100% Air-Gapped Autonomy
Zero-socket binary execution verified via static PE/ELF import audits. Complete data isolation with zero cloud dependencies or network egress.
Z3 SMT & Wasm Sandbox
Every quantitative citation, tolerance stack-up, and contract invariant is proven UNSAT for counterexamples before a single token is released.
Lorentz ℍ³¹ Spatial Mapping
Embeds deep organizational, legal, clinical, and codebase hierarchies onto a 32D Lorentz hyperboloid with sub-15ns Fréchet circuit breakers.
Autonomic Silicon Profiling
Boot-time hardware governor dynamically scales 1.58-bit packed ternary SIMD and GGUF execution to match exact host RAM, VRAM, and L3 cache.
Legacy enterprise AI relies on fragile cloud wrappers, flat Euclidean vector lookups, and probabilistic token sampling—introducing severe data-custody vulnerabilities, unpredictable costs, and silent mathematical hallucinations. Quaerite replaces these abstractions with a native Rust/C++ neuro-symbolic edge operating system.
Standard language models predict the next statistically likely token, not objective mathematical truth. Quaerite gates generative synthesis behind an in-process Z3 theorem prover (QF_LRA continuous tolerance polytopes, QF_LIA discrete invariants, and 5-lemma Apollo contract decomposition) paired with a fuel-metered WebAssembly arithmetic sandbox. Any ungrounded citation, violated boundary, or miscalculated figure triggers an immediate fail-closed block before a single token is rendered.
High-density local reasoning and adaptation have historically required multi-million-dollar cloud GPU clusters. Quaerite breaks this barrier behind your firewall using 4-trit-per-byte packed ternary ({-1, 0, +1}) SIMD kernels (AVX2, SSSE3, ARM64 NEON, and CUDA) alongside first-order memory-efficient adaptation. At boot, the hardware governor profiles host RAM, VRAM, and L3 cache residency to run deterministically on standard workstations or forward-deployed tactical nodes.
Euclidean embeddings exponentially distort deep tree-like hierarchies such as regulatory statutes, corporate structures, clinical ontologies, and software call graphs. Quaerite projects multi-modal organizational knowledge onto a 32-dimensional Lorentz hyperboloid manifold with FIPS 180-4 SHA-256 chain-of-custody indexing. A pre-generation Fréchet geodesic coherence gate evaluates evidence curvature in under 15 nanoseconds, halting out-of-distribution drift prior to inference.
Beyond natural-language intelligence, Quaerite includes a neuro-symbolic formal code auditor for mission-critical Rust, C/C++, and Solidity systems. The engine parses function-scoped ASTs, maps call-graph depth in ℍ³¹, constructs concrete Z3 counterexample witnesses for arithmetic and state-transition vulnerabilities, proves remediation UNSAT, and synthesizes production-ready Certora CVL 2.0 formal verification specifications completely offline.
Built directly into the Quaerite Sovereign OS desktop application, our autonomous code security suite combines QAI-1 Native Core (1.58-bit ternary symbolic reasoning) and high-capacity Sovereign Architect & Vanguard Nodes with in-process Z3 SMT theorem proving and automated Foundry execution—discovering deep state-transition flaws, eliminating false positives, and synthesizing mathematically verified code patches completely on-device.
Parses full repository ASTs, cross-contract call hierarchies, and historical audit/commit corpora onto the 32D Lorentz hyperboloid—isolating unaudited delta commits and filtering known issues automatically.
Couples QAI-1's symbolic invariant decomposition with Sovereign Architect code reasoning to probe fixed-point rounding, flash-loan state transitions, signature replay, and access-control bypasses.
Compiles and executes candidate harnesses against local forks or repository trees. Requires both a passing baseline positive control (test_control_*) and a measured numeric loss/state-delta assertion.
Generates drop-in unified diff remediations, re-runs the execution suite to confirm the vulnerability is closed without breaking existing tests, and exports formal Certora CVL 2.0 invariant rules.
Engineered to deliver concise, proof-carrying executive and tactical briefs—showing exact mathematical work without inundating operators with solver noise.
Airborne Battle Management (AWACS), Forward Operating Base logistics, expeditionary USMC operations, and submarine reactor/acoustic telemetry under strict EMCON and CMMC Level 2+ air-gap mandates.
M&A covenant cap-table waterfalls, cross-default indenture analysis, and distressed credit modeling with deterministic Wasmtime arithmetic verification and zero MNPI cloud exposure.
Intraoperative orthopedic/spinal robotic clearance verification and FEMA disaster-response logistics—enforcing sub-millimeter kinematic tolerances and structural safety envelopes.
Machine-checked vulnerability discovery, concrete exploit witness extraction, and automated Certora CVL 2.0 invariant synthesis for DeFi vaults, L2 bridges, and embedded systems kernels.
For Tier-1 enterprise, defense, QAI App code-security licensing, and formal verification deployment inquiries or architectural whitepapers, contact our integration team.
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