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ACTAVA Agentic Platform

ACTAVA AI · Operations & Productivity

No attestation published

Certification per AWS Marketplace.

Provenance reach4 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownSaaS
ProvenanceUnknown44% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

The **ACTAVA Agentic Platform** includes **KORA** (our agentic development lifecycle suite), **CHRYSO** (our agentic governance suite), **chi-BENCH** (our healthcare benchmark) - all purpose-built for healthcare and regulated industries. Together they make up the **ACTAVA Agentic Platform**, so enterprises now have a single, comprehensive system to build, evaluate, improve, and manage AI agents across complex front-, middle-, and back-office operations.

**ACTAVA KORA** supports conversational, background, and voice AI agents across multi-step workflows with human oversight at critical decision points. Healthcare-native interoperability connects agents to clinical and administrative systems without requiring custom integration. Grounded healthcare and enterprise intelligence keeps agent behavior anchored in verified knowledge.

Show the rest of the publisher’s description (6 more lines)

Before deployment, behavioral benchmarking validates agent performance against pre-built and customer standards. After deployment, multi-timescale learning turns real-world outcomes into auditable improvements, strengthening performance without compromising guardrails. Utilization management and real-time ROI reporting help control costs and measure impact from day one.

**ACTAVA CHRYSO** provides real-time monitoring and automated control evidence. It ensures AI agents remain compliant with critical standards, including NIST AI RMF, HIPAA, CMS HEI, and ONC HT1. It meticulously analyzes organizational policies against specific framework requirements to identify critical gaps and missing control elements. By assigning a completeness score from 0 to 100, it provides a transparent quality metric alongside actionable recommendations for immediate improvement.

To ensure global compliance, it includes cross-framework validation to satisfy multiple standards simultaneously, ultimately resulting in a definitive approval decision: approve, revise, or reject the policy.

**ACTAVA chi-BENCH** is the first benchmark to test agentic AI on healthcare administration as it actually runs. Built and reviewed by AI, clinical, and academic experts, it evaluates complex workflows like prior authorization, utilization management, and care management across dense policy, hidden state, multi-role coordination, and provider-payer handoffs.

Its tasks are grounded in real managed-care operations, making it one of the largest and most realistic evaluations of agentic AI in a policy-dense enterprise setting. The results show a clear gap between frontier agents and the reliability healthcare requires.

**ACTAVA's Agentic Platform** is where agentic AI stops being experimental and starts operationalizing across the enterprise.

Highlights

Highlighted by the publisher on AWS Marketplace.

Govern the full agentic lifecycle and orchestrate enterprise agents across systems: Build, evaluate, deploy, and improve multi-modal agents within a single platform. Connect agents via an interoperability layer to reduce integrations and scale easily. Maintain guardrails with permissions, audit trails, and human approval workflows. Strengthen performance over time by turning real-world outcomes into validated improvements.

Expand who can build and manage agents. Accelerate with experts: Enable business teams to build and launch agents through a guided, natural-language, low-code experience. Move faster with forward-deployed experts working alongside your team to deploy agents quickly. Start from hundreds of healthcare-specific workflows with prebuilt tools and domain integrations.

Measure your agentic ROI and keep LLM costs in control: Control spend by using policy-based routing, usage limits, and cost controls to align model choice with task value Gain visibility and get real-time views of usage, performance, and cost across agents to make evidence-based scaling decisions. Prove value and define ROI upfront and continuously measure hours saved, financial impact, and agent performance over time.

Agent build and provenance

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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.

Plans and pricing as listed

6 listed
Growth Package Additional OUs
  • Units
$1.50
Scale Package Additional OUs
  • Units
$1.30
Enterprise Package Additional OUs
  • Units
$1.13
Enterprise Package
  • Units
$900,000.00
P12M
Scale Package
  • Units
$600,000.00
P12M
Growth Package
  • Units
$300,000.00
P12M

Refund terms

As stated by the publisher on AWS Marketplace.

Terms of contract define any refund policy.

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource
CustomEulaCustomEulaSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Paid
6 plans listed
Delivery
SaaS
ACTAVA provides customer support through dedicated Slack channels and email. Feel free to reach out at support@actava.ai
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Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.