What is the difference between the three aurintai products?
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Accelerate AI is the agentic AIOps platform for general IT operations — autonomous agent orchestration, incident resolution, DORA metrics, and FMEA across your infrastructure and DevOps toolchain. Augmented SRE Operator is your AI companion for daily SRE work — natural language infrastructure queries, automated investigations, runbook generation, and proactive anomaly explanation via Slack/Teams. Augmented Analyst is the specialized GenAIOps overlay for cross-border transactional infrastructure — ingesting 100 trillion telemetry points from SWIFT, RTGS, and clearing gateways. All three share the same sovereign deployment model, Policy-as-Code governance, and transparent reasoning architecture.
Is there a SaaS option?
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No. aurintai products are exclusively self-deployable. We believe data sovereignty is non-negotiable for enterprise AI operations. We provide managed deployment services, but your data never leaves your infrastructure.
How does Policy-as-Code work in practice?
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You define policies as YAML or JSON files stored in Git. For example: "Require human approval for any remediation affecting payment services" or "Block autonomous actions on production databases during business hours." Every agent action is evaluated against these policies before execution. Policies are version-controlled, tested in staging, and deployed via GitOps.
Can I use multiple aurintai products together?
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Absolutely. All three products share the same sovereign deployment architecture, Policy-as-Code governance layer, and LLM/SLM integration framework. Many enterprise customers deploy Accelerate AI for general IT operations, Augmented SRE Operator for their engineering team's daily workflow, and Augmented Analyst for their cross-border transactional infrastructure — all unified under a single control plane with shared policies and audit trails.
What pager and notification integrations are included?
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Native integrations with PagerDuty, Opsgenie, ServiceNow, Slack, Microsoft Teams, email, SMS (via Twilio and AWS SNS), and voice call APIs. Custom webhooks with payload templating are also supported. Intelligent routing ensures the right person gets notified via the right channel.
How does Augmented Analyst achieve 94%+ diagnostic accuracy?
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Augmented Analyst deploys containerized Small Language Models (SLMs) with a Neural Precedent Reranker and in-memory vector mesh (Milvus/ElasticSearch). This architecture filters out background infrastructure noise — such as routine RTGS maintenance windows, weekend shifts, and local holiday mismatches — and isolates true clearing anomalies. The system learns from every human override, continuously improving its reranker weights.
How is pricing calculated?
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Pricing is based on the number of managed entities (services, hosts, AI agents, clearing gateways) and the level of support and professional services required. We offer transparent, predictable annual subscriptions with no hidden fees. No per-seat licensing. No data volume limits.
Do I pay extra for AI features?
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No. Every aurintai subscription includes full access to AI-driven capabilities — autonomous agent orchestration, natural language SRE interfaces, intelligent investigation workflows, and predictive anomaly detection. There are no AI add-ons, per-investigation fees, or token-metering charges. Unlike competitors who bolt AI on as a premium tier, AI is core to our platform and included from day one.
Can I deploy air-gapped with no internet access?
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Yes. aurintai is designed for fully air-gapped deployments. All container images, language models, and dependencies are bundled for offline installation. The platform runs entirely within your perimeter — no callbacks, no telemetry phoning home, no external API dependencies. This is available on Enterprise and Strategic tiers with our deployment engineering team handling the installation.
What happens to my data?
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Your data never leaves your infrastructure. aurintai is self-hosted by design — all telemetry, logs, model inferences, and audit trails remain within your VPC, data center, or sovereign cloud region. We do not operate a SaaS control plane, we cannot access your data, and there is no multi-tenant data pooling. You retain full ownership, custody, and deletion rights. This is backed by our data processing agreements and compliance certifications (SOC 2, ISO 27001, GDPR).
How does pricing scale as we grow?
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Pricing scales linearly with managed entity count — not with headcount, data volume, or AI usage. Adding 1,000 more hosts does not trigger a tier jump or force-migrate you to a higher plan. We publish transparent entity-band pricing during quoting, and annual true-ups are based on actual entity counts, not estimates. There are no cliff-pricing surprises when you scale.
What is the deployment timeline?
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Pilot deployments are typically live within 2–3 business days using our Helm charts or Terraform modules. Enterprise production deployments with SSO, custom policies, and air-gapped requirements average 2–4 weeks with our deployment engineering team. Strategic engagements with custom model training and FedRAMP pathways follow a 90-day onboarding program with dedicated customer success management.