Everything a potential client asks before taking us seriously.

OrvixLabs is a hybrid agency based in Necochea, Buenos Aires. It designs, builds and operates private infrastructure with enterprise artificial intelligence. It has proprietary products (Vortica, Gustave H, Geovox), operates the Agora modular ecosystem, maintains two proprietary cognitive engines (IRIS SCE and Casandra) and a laboratory for autonomous agents (Argos).

An organization where professional humans design and decide, and a permanent staff of specialized AI agents executes the operational tasks. Capacity no longer scales by hiring more people, it scales by instantiating more agents. That allows taking on bigger projects with the same human structure, and keeping costs accessible. Brand and category in registration process.

A traditional consultancy scales with human hours. OrvixLabs scales with proprietary AI agents that execute, while humans design and decide. That reduces unit cost without sacrificing quality and allows taking on more projects in parallel. The consultancy charges by hour, OrvixLabs charges by results.

A traditional agency uses commercial LLMs as the final product. OrvixLabs builds and operates private infrastructure. Proprietary cognitive engine (IRIS SCE, Casandra), dedicated installation per client, Hamilton philosophy for technical resilience, and Magnifica Humanitas principle for ethical responsibility in every system.

OrvixLabs is an company based in Necochea, Buenos Aires. It serves clients in Argentina and Latin America with focus on local compliance, Law 25.326 (Argentina), Brazilian LGPD. It also operates outside LATAM with GDPR compliance when applicable. Construction and operation are remote.

The cases page of the site shows real implementations of OrvixLabs and IRIS SCE. For specific details by industry or case, it is best to talk directly through the contact form, where we can share information under NDA when appropriate.

Three proprietary products. Vortica, B2B commercial intelligence platform for SMBs, integrable with CRMs. Gustave H, professional assistant with 3D avatar and voice, multi-channel. Geovox, positioning platform for AI engines. Plus the Agora modular ecosystem, the IRIS SCE and Casandra engines, and the Argos laboratory.

Vortica is a standalone B2B commercial intelligence platform designed for SMBs. It solves three concrete things, prospecting with real buying signals, automated lead follow-up, and intelligence tools to prepare meetings. Integrable with most major regional CRMs. It is not part of the Agora ecosystem, it is a separate product.

Gustave H is a professional assistant with 3D avatar and natural voice. It lives on the professional's phone as an application, multi-channel through official WhatsApp Business, voice calls, email and Telegram. Designed for active professionals, doctors, lawyers, accountants, architects, notaries, insurance brokers, real estate agents, consultants, agricultural advisors and veterinarians. Has its own site at gustaveh.com.

Geovox is a positioning platform for artificial intelligence engines. It makes a business appear when someone asks ChatGPT, Claude, Gemini, Perplexity or Google AI Overviews about their industry. Not passive monitoring, full cycle, detects where the client is invisible, diagnoses why with multi-agent deliberation, produces the content needed, and measures evolution. LATAM and Spain market.

Agora is the OrvixLabs modular cognitive ecosystem. Five applied artificial intelligence systems (Omnira for omnichannel attention, Sibila for commercial intelligence, Cosmos for orders and stock, Polaris for customer retention, Nemesis for decision audit) that solve concrete business pains. They work alone or connected, share memory, identity and context. All run on the Casandra deliberative engine.

Global platforms are excellent for filtering contacts by criteria. Sibila works on the next step, deciding which of those contacts is really worth pursuing, what signals they show and what to say to them. It does triple-cross between the client's offer, the target company's probable pain, and the specific decision-maker's priority. It explicitly says when it is not worth contacting someone.

It is not another chatbot. Its success metric is problems solved per turn, not tickets handled. That changes the whole architecture. It has persistent memory across channels, contextual reading (distinguishes between angry and confused customers), ability to escalate to a human with full resolved context, and operational honesty (says I don't know when it doesn't know, does not invent).

To guarantee real data sovereignty (physical separation, not just logical), ownership of the operational memory built over time, and ability to configure the system according to each company's specific needs without waiting for a provider's roadmap. It is more expensive to operate than multitenant, but it is the only way to offer those guarantees.

You can start with just one. That is the ecosystem's logic. Each system solves a concrete pain. Sibila if the priority is prospecting, Omnira if it is attention, Cosmos if it is orders and stock, Polaris if it is retention. Connecting systems comes later when you already have one working.

It depends on the system and the integration required. Sibila typically takes between four and six weeks until real operation. Omnira between six and eight. Cosmos depends on the number of channels to integrate, between six and twelve weeks. The dedicated installation is prepared in parallel so it is not a bottleneck.

Each system has its own pricing based on operation volume. Three components, dedicated initial installation (one-time), monthly operating cost covering infrastructure and maintenance, and a variable component per usage. When a client takes two or more systems from the ecosystem, the joint operating cost decreases by economies of scale. The exact detail is discussed per project.

Agora was the public space of Greek polis where the city deliberated, traded and decided. That sense (a place where multiple systems meet and deliberate) is what we want to convey. The engines have mythological names associated with their function. Cassandra anticipated (deliberation), Caduceus symbolizes communication, Janus had two faces and is associated with transitions, Pyxis is the compass that orients. It is narrative coherence, not marketing.

Between two and four weeks depending on catalog complexity and modules to activate. The first module ships in fifteen days on average; each additional module adds one to two weeks. The brand doesn't put developers on it; we handle the integration.

Yes. One-click OAuth integration with Tiendanube and Shopify. For Woo, VTEX, Adobe Commerce and custom sites, we integrate via API. The system imports the brand's catalog and runs inside the existing site, without the brand having to migrate anything.

No. The experience lives inside the brand's site as a button on each product page or as a full experience on a subdomain. The customer enters as always and finds the experience waiting. No downloads, no required registration.

The brand. Everything the system learns about audience behavior, try-ons performed, most explored products and conversions, stays as the brand's data. We don't sell it to third parties, we don't cross it with other brands' data, we don't use it to feed general models.

Yes. Modules are independent and added one at a time. A brand can start with Apparel and add Accessories months later, or begin with Sillage in a perfumery and add Beauty when ready. The integration doesn't have to be redone.

Google Try-On operates inside Google Shopping: the customer tries on in Google and is then redirected to the store; the brand loses control of experience, branding and data. The Look lives inside the brand's site with its full branding, tries on full outfits (not just one garment), includes AI conversational stylist, size prediction, and social sharing with the brand included. The Apparel page has a point-by-point comparison table.

Yes. Each module is designed for a specific category: Apparel for fashion, Accessories for independent jewelry, premium eyewear and watches, Footwear for premium sneakers and footwear, Sillage for chain, independent and niche perfumeries, and Beauty for perfumeries with makeup and proprietary cosmetics brands. A multi-category brand can activate multiple modules.

No. The system imports the photos you already have and processes them automatically. For flat photos, model photos and details, the pipeline generates the "virtual garment" version ready to use. No reorganization or new shoot required.

IRIS SCE is the OrvixLabs proprietary cognitive engine. It powers Vortica from day one, the custom systems OrvixLabs builds, and the technical infrastructure behind the proprietary products. It has six cognitive modes and five Hamilton resilience layers. Dedicated site at iris-sce.com.

Casandra is the proprietary deliberative engine that powers the Agora ecosystem. Unlike a typical wrapper, which makes a single call to a model and returns the response, Casandra makes several parallel calls to different models with different roles (verifier, challenger, synthesizer, director) and only returns a response when there is consensus. If the agents do not agree, the system explicitly says I am not certain instead of inventing.

That is deliberately part of the design. If the deliberative engine's agents do not agree, the system returns the response marked as low certainty and explicitly lists what arguments in favor existed, what objections were raised, and why there is no consensus. The final decision remains with the human who receives the response. That is the opposite of blind confidence.

IRIS SCE is the OrvixLabs cognitive engine in general, the architecture underneath everything we build. Agora is an ecosystem of specific products that run on IRIS and specifically on the Casandra deliberative engine, which is part of IRIS. IRIS is the infrastructure. Agora is what is built on top to solve concrete business pains.

It depends on the product. Custom systems and Agora are installed on the client's dedicated infrastructure or controlled by OrvixLabs according to contract, with encryption at rest and in transit. Vortica and Gustave H in SaaS mode operate on OrvixLabs infrastructure with logical isolation. Self-hosted Premium of Gustave H is installed on the client's server. Each modality is documented in the contract.

It is expected that an agent will make mistakes. That is why we apply Hamilton philosophy, five layers of redundancy, automatic detection, self-healing, technical escalation, critical alert, human intervention only if everything else has failed. Additionally, for critical decisions Magnifica Humanitas applies, the agent deliberates and recommends but the final decision is always signed by a human.

Argos is the OrvixLabs laboratory project, with no commercial deadline. Research on autonomous agents that not only execute tasks but decide what to do. It combines autonomous environment exploration, world modeling from observations, derivation of own objectives without explicit instructions, and planning with self-correction. Most motivating application, response to disasters and crises where humans cannot arrive in time.

Today it is research. Argos is our laboratory project with no commercial deadline. We are validating that the four capabilities of an autonomous agent (observe, model, derive objectives, plan with self-correction) work integrated in a controlled environment. If that validation is successful, the next step is industrial and critical applications. Nothing in OrvixLabs's current work depends on Argos.

Natural disasters (earthquakes, floods, wildfires, tsunamis) where connectivity fails and humans cannot arrive in time. Building emergencies (fires, collapses) where an agent can read the situation inside and guide evacuation. Conflict and humanitarian crisis. Operation in unviable environments (nuclear, mines, compromised critical infrastructure). In all cases Magnifica Humanitas applies, the agent deliberates and observes, decisions that affect lives are always signed by a human.

We use Data Shield, our own real-time anonymization layer. Before any sensitive data leaves your perimeter towards an external AI model (GPT, Claude, Gemini), Data Shield replaces sensitive entities (names, CUIT, CBU, DNI, addresses, amounts) with semantic tokens. The AI model receives "Person_1" and "Entity_1", never your real data. The response comes back to your perimeter and tokens are restored. Full technical detail in Data Shield.