A deterministic, compliance-enforced AI platform that scales from your phone to a server rack. Not a single model — a family of reasoning engines from 42M to enterprise-grade, designed for markets where failure is unacceptable and traceability is mandatory.
Anubis derives value from six tightly integrated systems that cannot be meaningfully decoupled. Together they create a multiplicative — not additive — value effect.
A symbolic token routing system (Hieroglyphics) that parses structured tokens to route requests across specialist inference lanes with strict reproducibility guarantees and auditable routing traces.
Hot, Warm, and WORM memory tiers integrating short-term context, session memory, and write-once regulatory memory with cryptographic immutability guarantees.
An AI-native compliance framework where policy enforcement, engineering standards, and security posture are embedded directly into inference pathways — not bolted on after.
Every inference can be deterministically replayed using recorded routing decisions, token streams, and memory state snapshots. Full forensic replay capability.
A custom deterministic tokenizer built on morpheme and etymological decomposition with temporal and multimodal edge tags. Linguistically grounded, not statistical. A first-class artifact, not an afterthought.
Security enforcement is performed within the model execution pipeline itself — not via external wrappers. Constraints are integrated directly into generation and routing logic.
A deterministic control plane governing how intelligence is executed based on policy, risk, role, and cognitive constraints. Every routing decision is replayable and attributable.
Unlike existing LLM routers, Anubis guarantees deterministic replay, auditable routing traces, and symbolic routing grammars embedded at the tokenizer level. This enables enterprise-safe AI execution and materially reduces operational and legal risk.
Unlike external policy filters that catch violations after the fact, Anubis enforces compliance at generation time through Horus (security posture) and Papyrus (engineering standards).
Policy-aware token generation, user-authenticated compliance bypass, and immutable audit logs tied to every generation event. Your AI produces compliant outputs by design, not by hope.
The Anubis backend is a low-level C++/CUDA engine with explicit control over memory, math, and determinism. Same inputs always yield identical results — eliminating the nondeterminism common in PyTorch-based training stacks.
Production-grade trainer with checkpointing, resume, and autopruning. A sealed, curated corpus with verifiable provenance. Everything you need to build, audit, and own your models with confidence.
Anubis isn't one model — it's a family of models designed to run at every scale. Same architecture, same deterministic guarantees, scaled to your hardware.
Models from 42M to 14B parameters running directly on your device. Phones, tablets, laptops, and PCs with dedicated GPUs. Apple Metal and Windows CUDA/AVX2. No internet required.
14B to 40B parameter models running on leased dedicated server hardware. Mac Studio-class machines provisioned and managed through us. Professional-grade AI without the enterprise footprint.
Full rack-mounted deployments on A6000, A100, or H100 GPU clusters. Hardware sourced and owned by us. Setup covers procurement and installation. Annual license for continued operation.
Intelligence artifacts include enforceable validity windows, expiration, and invalidation triggers — preventing temporal misuse of AI outputs in regulated domains.
Structured representations distinguishing reducible and irreducible uncertainty that constrain synthesis — suppressing hallucinations and false certainty by design.
Quantified reasoning budgets govern abstraction depth and synthesis breadth based on risk, enabling predictable AI cost and liability control.
Internal deliberation between engineering, legal, safety, and policy intelligences prior to output — institutional reasoning within an AI system.
Retroactive invalidation of conclusions with dependency tracking. Solves precedent drift and regulatory change risk with auditable unlearning.
Rights-aware intelligence artifacts enforce ownership and jurisdictional constraints at runtime — enabling licensing and IP-safe AI use.
Anubis is infrastructure-grade AI. Deterministic. Auditable. Compliant. Yours.