# Manazo Labs — Complete Site Content > This file contains the full text content of every page on https://www.manazo-labs.com > It exists so that LLMs and AI assistants can read the entire site in a single fetch without executing JavaScript. > For the page index and links, see https://www.manazo-labs.com/llms.txt --- # Metadata company: Manazo Labs site: https://www.manazo-labs.com location: Halifax, Nova Scotia, Canada products: Manazo Certus, Certus Agent, Certus Metadata API, Certus Privacy Agent status: Live — API available last_updated: 2026-03-21 --- ## Homepage URL: https://www.manazo-labs.com/ ### Hero # Manazo Labs **The Formal Verification Layer for Enterprise AI.** Every LLM inference is a probabilistic event. No guarantee on what the model saw. No proof of what it ignored. No formal record of what it transmitted. We built the infrastructure that changes that — not with better models, but with mathematics that cannot be wrong. Manazo Labs. Intelligence from First Principles. ### About The dominant paradigms of machine intelligence have reached their limits. Statistical approximation, however sophisticated, cannot provide the guarantees that consequential decisions require. Healthcare cannot afford hallucination. Finance cannot tolerate opacity. Critical infrastructure cannot accept *probably correct* as a standard. We believe the next generation of AI infrastructure will be formally verified — every reasoning step provably bounded, every inference mathematically characterized, every output accompanied by a certificate that can be audited, trusted, and defended. Our research platform has formally verified 44 machine-checked theorems with zero unresolved assumptions. From this foundation we build AI infrastructure products that do not exist anywhere else — because the mathematics required to build them does not exist anywhere else. This is not an incremental improvement on existing AI. This is a different foundation entirely. --- ## Manazo Certus URL: https://www.manazo-labs.com/certus ### Status Live — API available. Two-week free trial on production workloads. No payment required. Start your free trial: https://www.manazo-labs.com/certus ### Headline **The formally verified inference layer for enterprise LLM deployment.** ### Overview Every time your organization sends a prompt to a large language model, you are making an unverified bet. You do not know with certainty what the model attended to. You cannot prove what information influenced the response. You have no formal record of what was transmitted to external systems. You cannot mathematically bound the information your model actually needed versus what you sent. Manazo Certus changes that. Certus sits between your application and your LLM — any LLM, including your own internal models. It applies a formally verified approach to identify and retain the tokens that matter most to your query, compresses your input within a mathematically bounded envelope, and produces a formal certificate on every operation backed by machine-checked Lean 4 theorems. The certificate records exactly what the model saw, what was removed, and the mathematical bound on information loss. This is not heuristic compression. This is formally verified inference infrastructure. **44 machine-checked Lean 4 theorems · Zero unresolved assumptions · Empirically validated at production scale** ### What Manazo Certus Delivers **Cost Reduction** — 38–45% fewer tokens Direct reduction in API spend or GPU inference costs. Measured automatically. Invoiced as a share of verified savings. **Context Extension** — 2–3× context window 60–70% token reduction on long-context workloads multiplies your usable context window. Documents that required chunking now process whole. Coherence preserved. Cross-chunk errors eliminated. **CapEx Deferral** — Hardware purchases deferred Compression reduces KV cache memory per request, enabling more concurrent requests on existing GPU infrastructure. Companies running internal LLMs defer hardware purchases measured in hundreds of thousands of dollars. **Latency Reduction** — Faster inference Fewer input tokens means faster inference. For real-time applications the difference between acceptable and unacceptable response times. **Parallelization Capacity** — More throughput, same hardware Same hardware handles more concurrent requests when each request uses less KV cache memory. Directly increases throughput without infrastructure changes. **Privacy & Data Minimization** — Formally characterized Compressed prompts contain only the tokens the model needs. Irrelevant content removed before reaching external APIs. Formally characterized data minimization for GDPR and HIPAA workloads. **Auditability** — Machine-readable certificate The Certus certificate is a formal record of what information your model saw when it produced its output. Machine-readable, auditable, defensible to regulators. **Reduced Prompt Injection Surface** — Defense in depth Adversarial content injected into long documents is disproportionately removed by formally verified compression. Defense in depth, not a security guarantee — but a meaningful, formally characterized reduction in attack surface. **Reasoning Chain Preservation** — 100% chain integrity — all compression levels Causal and numerical reasoning chains preserved at 100% across all compression levels and spacing conditions. Logical chain integrity improved. Formally certified on every compression. Your model reasons correctly from compressed documents. **Source Confusion Resistance** — 4.92/5.00 — 50 trials, 72B production model Formally verified compression preferentially retains query-relevant information. Source confusion resistance — the property that prevents models from conflating or misattributing information across documents — is formally characterized on every operation. Resistance holds at aggressive compression settings. Every compression is certified. ### Compression Configurations **Precise** — High precision · 70.7% token retention Perfect fidelity across all evaluation dimensions. For regulated industries, clinical applications, legal review, and compliance workloads where mathematical certainty is not optional. **Balanced** (recommended) — Standard · 62–65% token retention Zero quality degradation on standard enterprise workloads. The right configuration for most production deployments. **Aggressive** — High compression · 55–58% token retention Last configuration with perfect fidelity scores. For high-volume, long-context pipelines where cost reduction is the primary objective and formal quality bounds are maintained. ### Model Compatibility Compatible with any transformer-based LLM: OpenAI, Anthropic, Google, Llama, Qwen, Mistral, and proprietary internal models. If your model uses attention mechanisms, Certus works. ### Pricing Manazo Certus is priced as a share of verified savings delivered. Self-serve customers pay 25% of their monthly token cost reduction — measured automatically from usage data. No savings, no charge. Enterprise customers with more complex value profiles — context extension, CapEx deferral, compliance enablement — are priced on annual contracts reflecting total organizational value. ### Call to Action Start your free trial at https://www.manazo-labs.com/certus Request an enterprise briefing at https://www.manazo-labs.com/certus --- ## Manazo Certus — Frequently Asked Questions URL: https://www.manazo-labs.com/certus/faq **Q: What is Manazo Certus?** A: Manazo Certus is formally verified inference infrastructure for enterprise LLM deployment. It compresses your input prompts using a formally verified approach grounded in machine-checked Lean 4 theorems, and produces a mathematical certificate on every operation. The result is faster, cheaper, more compliant, and more capable AI inference — with a formal proof backing every claim. It is the first product from Manazo Labs' formally verified research platform. **Q: How is this different from other compression tools?** A: Every other compression approach is heuristic. It uses rules, patterns, or statistical models to decide what to remove. Heuristic compression can produce good results on average but cannot make formal guarantees on any specific operation. Manazo Certus applies a scoring function grounded in machine-checked Lean 4 theorems, removes only tokens that fall within a mathematically bounded information loss envelope, and produces a certificate on every operation. The certificate is not a quality estimate. It is a proof. No other compression system in the world produces this. **Q: We run our own internal LLMs. Does Certus still apply?** A: Yes — and for internal deployments the value is often stronger. Certus is model-agnostic. It works with any transformer-based architecture including proprietary and fine-tuned internal models. For internal GPU infrastructure, every token you send through your model costs compute time and KV cache memory. At 60–70% token reduction on long-context workloads, you reduce inference compute costs by the same margin, enable more concurrent requests on existing hardware, and defer GPU hardware purchases. For compliance-sensitive internal deployments, the formal certificate provides auditable proof of information loss bounds that your current setup cannot provide. **Q: What is a formal certificate and why does it matter?** A: Every Certus compression produces a certificate — a machine-readable document specifying the epsilon bound, the retained information mass, the compression ratio achieved, and the theorem identifiers that guarantee the information loss bound. This is a mathematical proof that the compression met a formally specified standard. For regulated industries the certificate is auditable evidence that your AI inference met a formal standard. For legal and compliance teams it answers the question no other AI infrastructure can currently answer — what exactly did your model see when it produced that output? **Q: What does context extension mean?** A: By compressing input tokens by 60–70% on long-context workloads, Certus effectively multiplies your usable context window by 2–3×. A model with a 128,000 token context limit can process the equivalent of 256,000 to 384,000 tokens of original content in a single inference pass. Documents that previously required chunking — which degrades coherence and introduces cross-chunk errors — can now be processed whole. For legal, medical, financial, and research applications where document integrity matters, this is a capability expansion not just a cost reduction. **Q: How does Certus help with GPU capacity and hardware costs?** A: Compression reduces KV cache memory consumption per inference request. Less memory per request means more concurrent requests on the same hardware. For organizations running internal LLMs on A100 or H100 infrastructure, this directly translates to increased throughput without capital expenditure. A company facing a decision between purchasing additional GPU nodes at $60–100K each or deploying Certus can bridge that capacity gap immediately — particularly valuable given GPU procurement timelines currently running 3–6 months. The capital expenditure deferral argument compounds with scale. **Q: How does Certus support GDPR and HIPAA compliance?** A: Certus removes tokens that are not relevant to the query before the prompt reaches any external API. This mathematically characterized data minimization — provably bounded by the formal certificate — reduces the volume of potentially sensitive information transmitted to third-party LLM providers. For organizations subject to GDPR data minimization requirements or HIPAA minimum necessary standards, the certificate provides a formal record of what was transmitted and what was not. This often unlocks external API usage that legal and compliance teams were previously blocking entirely. **Q: What models does Certus support?** A: Any transformer-based large language model. OpenAI, Anthropic, Google, all open-weight models including Llama, Qwen, and Mistral families, and proprietary or fine-tuned internal models. If your model uses attention mechanisms Certus works. **Q: How do I integrate Certus?** A: Point your existing LLM calls through the Certus endpoint, specify your configuration — Precise, Balanced, or Aggressive — and your prompts are compressed before reaching the model. No architectural changes. No retraining. No new dependencies. Full documentation and SDK available. Most integrations complete in under an hour. **Q: What does it cost?** A: Manazo Certus is priced as a share of verified savings delivered. Self-serve customers pay 25% of their monthly token cost reduction — measured automatically from usage data. No savings, no charge. Enterprise customers with more complex value profiles — context extension, CapEx deferral, compliance enablement — are priced on annual contracts reflecting total organizational value. A two-week free trial on your actual production workload is available with no payment required. **Q: Is our data secure?** A: Certus processes your prompts within the compression operation and does not store prompt content beyond that duration. Formal data processing agreements available for enterprise customers. On-premise deployment options available for organizations with strict data sovereignty requirements. We will never use your data to train models, benchmark competitors, or for any purpose beyond delivering your compression result. **Q: What else is Manazo Labs building?** A: Manazo Certus is one product from a platform with 44 machine-checked theorems and zero unresolved assumptions. Our research engine has identified a substantial pipeline of additional product compositions from this foundation. Three further products are in active development or available now — Certus Agent for multi-agent pipelines, Certus Metadata API for zero-knowledge billing and verification, and Certus Privacy Agent for regulated on-premise deployments. If you want to understand the platform vision, request a briefing. **Q: What is the Prohibited Use Doctrine?** A: Manazo Labs operates under a binding set of ethical commitments. Our technology will never be used for autonomous weapons systems, kinetic or cyber warfare, mass surveillance, or social control applications — regardless of customer, contract value, or jurisdiction. The Founder maintains a permanent Sovereign Veto over any partnership that violates this doctrine. These are not policies. They are load-bearing principles. --- ## Certus Agent URL: https://www.manazo-labs.com/certus-agent ### Status Launching — early access available. Request early access: https://www.manazo-labs.com/certus-agent ### Headline **The protocol layer for multi-agent AI pipelines.** ### Overview Multi-agent AI pipelines degrade with depth. The deeper your pipeline, the worse the outcomes. Context accumulates noise. Facts get lost. Quality collapses. This is the accepted limitation of every current agentic architecture — accepted because nobody had the formal theory to fix it. Manazo Labs built that theory. Then built the product. Certus Agent sits at every boundary between agents in your pipeline. It applies formally verified compression at each agent handoff, conditions each compression on the receiving agent's specific task, and produces a cryptographically linked certificate at every hop. Every token in your final agent's context has formal provenance across the entire pipeline. The result: multi-agent pipelines that do not degrade with depth. Validated empirically across 1,500 trials on 250 documents on a 72B production model. Zero variance on critical fact survival in all certified configurations. This is not an improvement on existing agentic architectures. This is a different foundation entirely. **Formally proven quality guarantees · Depth-independent · Cryptographically auditable end-to-end** ### The Problem Certus Agent Solves Standard multi-agent compression degrades multiplicatively with pipeline depth. Validated benchmark results across 1,500 trials: | Configuration | Context Size | Fact Survival | Quality | |-------------------------|-------------|---------------|---------| | No compression | 100% | 100% | 100% | | Single-hop | 73.8% | 71.3% | 81.3% | | 5-hop standard | 34.1% | 28.8% | 47.6% | | 5-hop Certus Agent | 46.7% | 100.0% | 100.0% | | 5-hop Agent + memory | 76.9% | 100.0% | 100.0% | Certus Agent achieves better compression than single-hop while delivering perfect fact survival and perfect quality across five agent boundaries. Standard approaches lose 71% of critical facts at the same depth. ### What Certus Agent Delivers **Depth-independent quality** — Formally proven quality guarantees that hold regardless of pipeline depth. Five hops or fifty, the formal bound does not degrade. **100% fact survival** — Critical facts are formally preserved across all compression hops. Validated at zero variance across 1,500 trials. What your first agent knew, your final agent knows. **53% token reduction across 5 hops** — Without any sacrifice in quality. Your pipeline costs half as much to run and delivers better outcomes than an uncompressed pipeline. **Cryptographic audit trail** — Every hop produces a formal certificate. The certificates are cryptographically linked into a chain. Every token in the final agent's context has a verifiable record of every compression boundary it crossed. For regulated industries: formally auditable agentic AI. **Task-aware compression** — Each compression is conditioned on what the receiving agent actually needs. Downstream agents receive clean, task-relevant context — not the accumulated reasoning scaffolding of every prior agent. **Complete pipeline provenance** — Formal proof that every piece of information the final agent used to produce its output survived every compression hop above the formal quality bound. ### Certificate Chain Every Certus Agent pipeline produces a certificate chain — a cryptographically linked sequence of formal certificates, one per compression hop. Each certificate is signed and linked to the previous hop's certificate. The complete chain is a machine-verifiable record of the entire information flow through your agent pipeline. For compliance, audit, and regulated-industry deployment: the chain answers the question no other agentic AI infrastructure can answer — what exactly did each agent see, and what formal guarantee covered each handoff? ### Deployment Certus Agent exposes two execution modes. **Stateful** — Create a pipeline, execute hops as each agent produces output, retrieve the complete certificate chain on completion. For live agentic orchestration where agent outputs are determined dynamically at runtime. **Stateless** — Submit a complete pipeline in one request, receive all compressed contexts and the full certificate chain in one response. For evaluation, testing, and batch processing workflows. Both modes produce identical formal guarantees and cryptographically equivalent certificate chains. ### Pricing Certus Agent is priced on annual enterprise contracts reflecting total pipeline value — cost reduction, quality improvement, compliance enablement, and audit trail capability. Contact us for enterprise pricing. Early access available now. --- ## Certus Metadata API URL: https://www.manazo-labs.com/certus-metadata ### Status Live — production deployed. ### Headline **Zero-knowledge billing and verification for enterprise AI infrastructure.** ### Overview The Certus Metadata API is the cloud-side component of the privacy-preserving deployment architecture. It enables accurate billing, certificate verification, and compliance reporting for organizations that require their prompt content to remain entirely within their own infrastructure. Manazo Labs receives encrypted mathematical metadata from local Certus agents. We verify the compression occurred correctly. We compute billing from the metadata. We provide certificate verification. At no point does Manazo Labs receive, store, or have access to customer prompt content or model outputs. This is not a privacy policy. It is a system architecture. ### What It Does **Zero-knowledge billing** — Billing computed entirely from encrypted mathematical parameters. Token counts, compression ratios, and quality bounds transmitted in encrypted form. Prompt content never transmitted. **Certificate verification** — Cryptographic proof of each compression certificate verified without access to certificate content. Confirms correctness was achieved without seeing what was compressed. **Compliance reporting** — Usage logs and certificate records maintained for regulatory audit purposes. Content-free by design. **Air-gap support** — Accepts encrypted audit log batches from fully offline deployments. Billing and verification available for organizations with zero outbound connectivity requirements. ### The Approved Metadata Schema The Certus Metadata API operates on a fixed, enforced schema. The following fields — and only these fields — are transmitted from customer infrastructure to Manazo Labs in local agent deployments. Schema violations are rejected. No other fields are accepted under any circumstance. The approved fields are: job identifier, customer identifier, agent version, compression configuration, epsilon bound, alpha parameter, original token count, compressed token count, compression ratio, retained information mass, processing time, certificate cryptographic proof, certificate identifier, theorem identifiers, timestamp, billing event flag, deployment mode, encryption key identifier, and payload integrity signature. Every field is a mathematical parameter, an identifier, or a cryptographic value. No field contains or can contain text content. --- ## Certus Privacy Agent URL: https://www.manazo-labs.com/certus-privacy ### Status Available — enterprise deployment. ### Headline **Formally verified compression inside your infrastructure. Your content never leaves.** ### Overview The Certus Privacy Agent is a self-contained local agent that runs the full Certus compression pipeline within customer infrastructure. Prompt text is compressed locally. The formal certificate is generated locally. Only encrypted mathematical metadata is transmitted to the Certus Metadata API. For organizations whose legal and compliance teams require architectural privacy guarantees rather than contractual commitments: the Privacy Agent makes it technically impossible for Manazo Labs to receive your content. This is not a privacy policy. It is a property of the system. ### Deployment Modes **Cloud** — Default. Compression performed by Manazo Labs API. Appropriate for non-sensitive workloads. Fastest integration path. **Hybrid** — Local agent runs all compression inside customer infrastructure. Only encrypted mathematical metadata transmitted to the cloud. Customer text never leaves the customer's network. Enterprise default for sensitive workloads. **Air-Gap** — Fully on-premise. No outbound network connection required. Metadata written to a local encrypted audit log. Customer exports periodically for billing reconciliation. For classified, maximally isolated, and sovereign deployment environments. ### Privacy Architecture Three independent layers enforce the guarantee that text content never leaves customer infrastructure. The first layer operates at the input boundary — logging and validating request metadata without logging or transmitting request content. The second layer operates at the output boundary — scanning all outbound metadata fields and blocking transmission if any field contains content above a formally specified threshold. The third layer operates at the cloud boundary — the Certus Metadata API enforces the approved schema on every received payload and rejects any field not in the approved set. All three layers must be simultaneously circumvented to violate the privacy guarantee. Each layer is independently enforced and independently auditable. ### Encryption All metadata transmitted from the Privacy Agent to the Certus Metadata API is encrypted using AES-256-GCM authenticated encryption. Customer private keys are generated and held by the customer. Manazo Labs stores only the corresponding public key for payload verification. Customer private keys never leave customer infrastructure under any deployment mode. ### Who It Is For The Certus Privacy Agent is the right deployment option for organizations in healthcare, legal services, financial services, defense contracting, and government where prompt content constitutes protected health information, privileged legal communication, material non-public information, or classified data. For these organizations, a privacy policy is not sufficient. An architectural guarantee is required. --- ## What We're Building URL: https://www.manazo-labs.com/building ### Headline **One platform. Formally verified. Continuously compounding.** ### Overview Manazo Labs operates a unified research engine — 44 machine-checked theorems, zero unresolved assumptions — that identifies connections between formal mathematics and production AI engineering problems. Our platform does not generate research for its own sake. It generates products. Formally verified, empirically validated, ready for enterprise deployment. No other organization has this foundation. No other organization could build what we build from it. The mathematics required to discover these products took two decades of work across applied mathematics, quantitative finance, medical science, and mathematical physics to assemble. It cannot be replicated by hiring. It cannot be replicated by funding. It exists because of an intellectual journey that cannot be shortcut. Our platform has identified a substantial pipeline of product compositions ready for development. We are building them in order of commercial impact. **44 machine-checked theorems · Zero unresolved assumptions · Multiple mathematical domains** ### Products **Manazo Certus** — Live. The formally verified inference layer for enterprise LLM deployment. A mathematical certificate on every operation. Two-week free trial available. See: https://www.manazo-labs.com/certus **Certus Agent** — Launching. The protocol layer for multi-agent AI pipelines. Formally proven quality guarantees regardless of pipeline depth. 100% fact survival validated across 1,500 trials. See: https://www.manazo-labs.com/certus-agent **Certus Metadata API** — Live. Zero-knowledge billing and verification. Prompt content never received by Manazo Labs in local agent mode. See: https://www.manazo-labs.com/certus-metadata **Certus Privacy Agent** — Available. Fully local deployment for regulated industries. Text never leaves your infrastructure. See: https://www.manazo-labs.com/certus-privacy ### Closing Statement These are not incremental improvements. They are what happens when you start from the right mathematics. --- ## The Manazo Manifest — Our Operational Bounds URL: https://www.manazo-labs.com/manifest ### Introduction Manazo Labs builds for high-assurance civilian and industrial deployment. The formal safety envelopes underpinning our technology have been mathematically characterised for specific operational contexts — and no others. The following bounds define the verified perimeter of everything we build. They are not policies. They are properties of the system. All technology developed within these walls is governed by absolute Operational Bounds. ### Article I — Operational Scope: Civilian and Industrial Stability All technology developed at Manazo Labs is engineered for high-assurance civilian and industrial environments. Our architectures are not designed, tested, or certified for integration into autonomous weapons or lethal decision systems. The formal safety envelope of our platform does not extend to those applications — by design. ### Article II — Operational Bounds: Non-Kinetic Environments Our formally verified research and infrastructure are validated for non-kinetic operational contexts. No Manazo technology has been characterised for weapons targeting, offensive cyber operations, or kinetic attack systems. Deployment outside the verified envelope voids the formal guarantees our platforms provide. ### Article III — Data Minimization by Proof, Not Policy Our systems are engineered to operate on only the data they formally require — nothing more. This mathematically characterised minimisation is structurally incompatible with mass surveillance architectures, social scoring systems, or state-level persistent monitoring. No Manazo product can be configured to serve those functions without destroying the formal properties that make it valuable. ### Article IV — Integrity Veto To preserve the validity of our machine-checked research and the integrity of our formal safety envelopes, the Founder retains the right to reject any partnership or integration that exceeds the verified operational bounds of our technology. This is not a commercial safeguard. It is a mathematical one. --- ## Contact URL: https://www.manazo-labs.com/contact Manazo Labs accepts enterprise inquiries, partnership discussions, and research collaboration requests. Contact form available at https://www.manazo-labs.com/contact Enterprise customers may request a briefing directly from any product page. --- ## Technical Glossary **Formal verification**: Mathematical proof that a system behaves as specified, checked by a proof assistant. Manazo Labs uses Lean 4. Every claim in a Certus certificate is backed by a machine-checked theorem — not a test, not a benchmark, a proof. **Manazo Certus**: Formally verified prompt compression for enterprise LLM deployment. Sits between your application and your LLM, compresses input within a mathematically bounded envelope, and produces a certificate on every operation. **Certus Agent**: Formally verified multi-hop compression for multi-agent AI pipelines. Applies certified compression at every agent boundary, conditions each compression on the receiving agent's task, and produces a cryptographically linked certificate chain providing complete provenance across the entire pipeline. Formally proven quality guarantees hold regardless of pipeline depth. **Certus Metadata API**: The cloud-side component of the privacy-preserving deployment architecture. Receives only encrypted mathematical metadata from local Certus agents. Never receives prompt content or model outputs. Enables billing and certificate verification from mathematical parameters alone. **Certus Privacy Agent**: Local deployment agent that runs Certus compression entirely within customer infrastructure. Prompt content never leaves the customer's network. Transmits only encrypted mathematical metadata to the cloud. **Epsilon bound (ε-bound)**: The formal upper bound on information loss in a Certus compression operation. Every certificate specifies an epsilon value — a mathematically proven guarantee on the quality of the compression. Formally verified in Lean 4 and embedded in every certificate produced. **Formal certificate**: The machine-readable proof document produced on every Certus compression. Specifies the epsilon bound, the retained information mass, the compression ratio, and the theorem identifiers backing the guarantee. Auditable, defensible to regulators, and cryptographically signed. **Certificate chain**: The cryptographically linked sequence of formal certificates produced by a Certus Agent pipeline — one certificate per compression hop. Each certificate is signed and linked to the previous. The complete chain is a machine-verifiable record of every compression boundary in the pipeline and provides formal provenance for every token in the final agent's context. **KV cache**: Key-value cache in transformer inference. Each input token requires a key-value pair during inference. Certus reduces KV cache memory consumption per request by reducing input token count, enabling more concurrent requests on the same GPU hardware and deferring hardware purchase decisions. **Token reduction**: The reduction in input token count achieved by Certus compression. Certus achieves 38–45% token reduction on standard workloads and 60–70% on long-context workloads. **Compression configuration**: Certus offers three configurations — Precise (70.7% token retention, perfect fidelity), Balanced (62–65% retention, recommended for most enterprise workloads), and Aggressive (55–58% retention, for high-volume pipelines where formal quality bounds are maintained). **Source confusion resistance**: The property that prevents models from conflating or misattributing information from different sections of a multi-document context. Certus achieves 4.92/5.00 source confusion resistance across 50 trials on a 72B production model. Formally characterized on every compression. **Reasoning chain preservation**: The property that causal and numerical reasoning chains survive compression intact. Certus achieves 100% reasoning chain preservation across all compression levels. Formally certified on every compression. **Air-gap deployment**: A fully on-premise deployment mode of the Certus Privacy Agent with no outbound network connection. All compression occurs locally. Metadata written to a local encrypted audit log. Designed for classified, sovereign, and maximally isolated environments. **Prohibited Use Doctrine**: The binding ethical commitments governing all technology built at Manazo Labs. Manazo technology will never be used for autonomous weapons, kinetic or cyber warfare, mass surveillance, or social control — regardless of customer, contract value, or jurisdiction. Enforced by a Founder Sovereign Veto. **Lean 4**: The interactive theorem prover used by Manazo Labs to machine-check all formal proofs. Lean 4 is an open-source proof assistant in which mathematical claims are verified by a trusted kernel. All Certus certificates reference Lean 4 theorem identifiers.