The questions enterprises actually ask

Arvenza.ai is the Enterprise AI Operating Layer: four products for designing, running and governing AI agents on top of your existing business systems. Helix runs the agents, integrations and knowledge pipelines; AgentManager governs the calls agents make to AI models; Arvenza DB retrieves from your documents by meaning, by words and by connection; and VGL answers graph questions over the databases you already run. Your teams ship working AI solutions in weeks instead of quarters.

An AI operating layer sits between your AI models and your business systems. The model provides raw intelligence; the operating layer provides everything that turns it into a dependable business solution — connections to your systems, grounding in your knowledge, security and access control, human approval workflows, and full operational visibility.

Yes. Arvenza's products run entirely inside your own environment: on-premises, in a private cloud or at the edge. Helix ships as a single self-contained binary or a container image, alone or on an orchestrated cluster. Paired with a locally hosted AI model, no data ever leaves your network.

Helix works with 16+ model providers: the major commercial model services, the leading cloud AI platforms, and models you host yourself. Changing provider is a one-line configuration change, so there is no lock-in. AgentManager, now in preview, adds one governed gateway in front of all of them, with routing, failover, budgets and guardrails.

Helix includes 440+ built-in connectors across 33 categories: CRM and ERP systems, document and collaboration platforms, relational and document databases, messaging systems, cloud services, and any REST or SOAP API. Enterprise integration patterns (retries, routing, circuit breakers) handle real-world reliability. VGL adds graph questions over your databases without copying any data.

Human-in-the-loop means a person approves an agent's action before it takes effect. In Helix, any step can require approval — for example, only risk-flagged requests, or every final decision while the solution earns trust. The agent pauses, a reviewer approves or rejects with feedback, and everything is recorded in the audit trail.

Yes. Every request carries a step-by-step reasoning trail — what the agent checked, in what order, and why it concluded what it did — visible to reviewers and auditors. This makes agent decisions explainable rather than a black box, which is essential for approvals, compliance, and building user trust.

Security is built in. Helix supports JWT and OAuth2 authentication with your existing identity provider, TLS and mutual TLS, multi-tenancy, PII masking in knowledge pipelines, and a complete audit trail. Arvenza DB encrypts data at rest, and VGL runs every query as the person asking. Because everything runs in your environment, it inherits your network and data controls too.

No. Agents, integrations, and knowledge pipelines are described in readable, declarative configuration that an IT team can learn in about a day — no model training, no heavy coding. Deep AI expertise is optional, not required.

A focused proof of concept typically runs in weeks, not months: we agree the use case and success criteria with you, implement in your environment with your data, and demonstrate against those criteria. The same configuration then moves to production without a rewrite.

Frameworks are developer libraries: powerful, but you build and maintain the surrounding system yourself, including integrations, security and operations. Arvenza.ai is a platform where those layers ship as one governed product. Frameworks suit teams building custom AI software; Arvenza.ai suits organisations that want business outcomes running on enterprise-grade foundations quickly.

Licensing is tailored to your deployment size and support needs. Commercials are discussed once we understand your use case — typically after a successful proof of concept. Arrange a conversation and we will walk you through the options.