How much does Wand AI cost?

Wand does not publish pricing; wand.ai/pricing returns 404 and buyers are routed to a demo booking form. It sells as an enterprise platform through sales, with deployments scoped from single process automation up to entire divisions and no public self serve tier. Inference, not stated by the vendor: pricing is likely tied to scope, agents and deployment model.

What are the best alternatives to Wand AI?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Wand AI among multi-agent platforms are Pokee AI, Distyl AI, Agent Zero, Artian. Each is graded on the same public evidence, and no vendor pays for placement.

Can Wand AI be self hosted or run in a private VPC?

Full under the Agentic Index verification standard. Wand AI publishes public evidence of self hosted or private VPC deployment, along with data residency options for controlling where agent data is processed and stored. Evidence basis: Deployment is offered on premises, in a private cloud or hosted, and the hosted service runs in a primary US region with additional regions across Europe, Asia Pacific and the Americas over multiple availability zones. Production runs on a. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Wand AI have SOC 2, SSO and role based access control?

Partial under the Agentic Index verification standard. Wand AI publishes some public evidence of security and identity controls, but narrower than the full set of SOC 2, single sign on (SSO) and role based access control (RBAC). Evidence basis: Wand states that a SOC 2 Type II examination is in progress for the 2026 cycle and that it is GDPR ready, so no attestation is complete yet. Data is encrypted at rest and in transit, staff sign in with SSO and MFA, access follows least priv. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Wand AI give you tracing and observability into agent runs?

Partial under the Agentic Index verification standard. Wand AI publishes some public evidence of logging or observability, but narrower than full tracing and auditability across agent runs. Evidence basis: Built in dashboards, decision tracking and agent accountability are named, and the control panel, the hub for governance, visibility and control, shows live performance data, costs and goals. What is recorded about an agent's actions and re. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Wand AI

Q: Who is Wand AI for?

Global enterprises and governments, Financial services and asset management firms, Insurance companies, Operations and business process teams

Also known as: Wand OS, Wand Synthesis AI, Agent Control Panel

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Multi-agent platformindependentVerified 2026-09-27

Entry priceNot public; enterprise platform quoted through sales, scoped from single process automation up to entire divisionsFull pricing detail

Agentic labor infrastructure and operating system for the hybrid workforce, letting governments and global enterprises create, execute, orchestrate, and govern AI agents that work alongside humans, from a single process up to entire divisions.

Wand AI, legally Wand Synthesis AI Inc., is a Palo Alto company founded in 2022 by Rotem Alaluf that calls itself agentic labor infrastructure for governments and global enterprises. Its platform, Wand OS, is the operating system for a hybrid workforce: teams add agents alongside people, set their objectives and guardrails, and coordinate multi-agent, multi-human work from a command center, from a single process up to an entire business division. Named relationships on its own site include Franklin Templeton and a partnership with Nityo Infotech, and in February 2025 Wand acquired Accern, a real-time data infrastructure provider for finance, compliance, and risk.

The product is described in layers. A Control Panel handles governance, cost control, and policy and objective guardrails; Collab is a shared workspace where people and agents communicate and manage day-to-day work; Process Automation runs end-to-end workflows that humans scope and agents carry out; and Division Automation hands a whole function to coordinated agents.

Underneath sit an Agent Network where agents execute and coordinate, Agent Management that enforces rules, budgets, and outcomes, Agent University for continuous learning, and an Agent Economy for access to outside tools, data, and services. Agents escalate edge cases to people based on confidence levels, and the platform assembles and trains new agents to fill performance gaps.

Wand publishes few technical specifics: its pages do not name the models behind its agents, list connectors, or document an API, and its trust page reports a SOC 2 Type II examination in progress for the 2026 cycle. Deployment is offered on premises, in a private cloud, or hosted, with hosting in a primary US region and additional regions in Europe, Asia-Pacific, and the Americas. Pricing is enterprise and quoted after a demo. It suits large organizations and public-sector buyers who want a governed hybrid workforce with deployment control and are prepared to evaluate it with the vendor; teams wanting a documented, self-serve builder will find little to inspect before a sales conversation.

Vendor details

Canonical URL

https://wand.ai

Subcategory

Agentic workforce operating system

Funding status

Independent, headquartered in Palo Alto, California, founded in 2022 by Rotem Alaluf; acquired Accern in February 2025.

Company status

independent

Use cases & customers

Primary use cases

Building and governing a hybrid human and agent workforceEnd to end process and division automationEnterprise data discovery and analysisGoverned multi agent collaboration

Target customers

Global enterprises and governmentsFinancial services and asset management firmsInsurance companiesOperations and business process teams

Deployment options

CloudPrivate cloudOn premises

Integrations

Agents are said to work across systems, tools and departments, and an Agent Economy layer gives them access to outside tools, data and services, but Wand publishes no connector list, named system, integration mechanism or API. Accern, acquired in February 2025, supplies real time structured and unstructured data for agents to draw context from. Deployment options span hosted, private cloud and on premises.

In practice

An asset manager wants agentic AI in its investment process without losing control. Wand's workforce and agent management technologies let Franklin Templeton deploy agents at scale under strict oversight, compliance, and risk control.

An enterprise worries about agents acting outside policy. Wand's control panel enforces budgets, compliance controls, and guardrails on access and autonomy, tracks every decision, and has agents escalate edge cases to humans based on confidence.

A knowledge worker needs answers buried across the organization. Wand's intelligent data discovery reaches across thousands of emails, documents, and data sheets, and its agent network assembles the right specialists to answer in minutes.

Sources & related URLs

Related / legacy domains

https://enterprise.wand.ai

Research sources

https://wand.ai/ https://wand.ai/product-page https://wand.ai/trust_security https://wand.ai/hubfs/Website/files/llms.txt https://wand.ai/blog-old2/meet-wand-what-we-build-why-it-matters https://wand.ai/blog-old2/wand-ai-acquires-accern-expanding-real-time-data-capabilities

Agentic Index coverage score

6.5 / 14 capabilities · 46%

Integrations & Tool Calling	Partial
Agents are said to work across systems, tools and departments, and an Agent Economy layer gives them access to external tools, data, services and other agents. No connector, named system or integration mechanism is published. SourceWand AI, wand.ai/product-page and wand.airead 2026-10-06
Workflow Orchestration	Full
Multi agent, multi human workflows run from a command center, an Agent Network is where agents execute and coordinate, Process Automation carries end to end workflows scoped by humans, and Division Automation runs a business division's work through coordinated agents. Collab is where people and agents communicate, coordinate and manage day to day work. SourceWand AI, wand.ai/product-pageread 2026-10-06
Knowledge Grounding & RAG	Partial
The February 2025 acquisition of Accern brings real time data infrastructure over billions of structured and unstructured data points for agents to extract and aggregate context from. How a customer's own knowledge is indexed and retrieved is not documented, and the Agent Economy layer also gives agents access to outside data. SourceWand AI, the Accern acquisition post on wand.ai and wand.ai/product-pageread 2026-10-06
Human Oversight & Guardrails	Partial
Agents escalate edge cases to humans based on confidence levels, the control panel sets autonomy levels, budgets and policy guardrails, and Agent Management, an oversight layer, enforces rules, budgets and outcomes. People scope the workflows that Process Automation hands to agents. No step where a person approves an action before it runs is described. SourceWand AI, the Meet Wand post on wand.ai and wand.ai/product-pageread 2026-10-06
Security, Identity & Governance	Partial
Wand states that a SOC 2 Type II examination is in progress for the 2026 cycle and that it is GDPR ready, so no attestation is complete yet. Data is encrypted at rest and in transit, staff sign in with SSO and MFA, access follows least privilege with role based control, and access is reviewed at least quarterly. Wand's own overview says role based controls keep people in command of the agents, and SOC 2 report requests go to its security team. SourceWand AI, wand.ai/trust_security and the Meet Wand post on wand.airead 2026-10-06
Observability & Auditability	Partial
Built in dashboards, decision tracking and agent accountability are named, and the control panel, the hub for governance, visibility and control, shows live performance data, costs and goals. What is recorded about an agent's actions and reasoning, or how it can be reviewed later, is not described. SourceWand AI, wand.ai/product-pageread 2026-10-06
Memory & State Persistence	Partial
Agents are described as learning team dynamics and preferences over time, retraining on outcomes through the Agent University engine and learning from humans. No memory store with a stated scope, lifetime or delete path is documented. SourceWand AI, wand.ai/hubfs/Website/files/llms.txt and wand.ai/product-pageread 2026-10-06
Deployment & Data Residency	Full
Deployment is offered on premises, in a private cloud or hosted, and the hosted service runs in a primary US region with additional regions across Europe, Asia Pacific and the Americas over multiple availability zones. Production runs on a major public cloud provider, and disaster recovery uses a secondary region. SourceWand AI, wand.ai/trust_security and /product-pageread 2026-10-06
Prebuilt Agents, Templates & Packs	Partial
The platform autonomously assembles and trains agents to fill performance gaps, through Agent University, which trains, retrains and creates agents itself. No catalog of named ready made agents is published. SourceWand AI, wand.ai/hubfs/Website/files/llms.txt and wand.ai/product-pageread 2026-10-06
Triggers & Channel Coverage	Partial
Wand describes autonomous process management and agents working without constant oversight, and people direct agents in the Collab workspace, where they communicate and coordinate day to day work. No schedule, event, webhook or channel mechanism is documented. SourceWand AI, wand.ai/hubfs/Website/files/llms.txt and wand.ai/product-pageread 2026-10-06
Model Flexibility & Routing	Not documented
Wand does not say which models power its agents, and no model provider or customer model choice is named. Agent University trains and retrains the agents on outcomes, but the underlying models stay unnamed. SourceWand AI, the Meet Wand post on wand.ai and wand.ai/product-pageread 2026-10-06
APIs, SDKs & MCP Extensibility	Not documented
No API, SDK, MCP server or developer documentation for Wand's platform is published. Its interoperability claim is about agents reaching other systems through the Agent Economy layer, not about outside systems calling Wand. SourceWand AI, wand.ai/product-page and wand.airead 2026-10-06
Testing, Debugging & Optimization	Partial
Performance benchmarking, live performance data and agents that retrain on outcomes are named, and Agent University is described as a continuous learning engine that trains, retrains and creates agents. No evaluation harness, test set or release gate for agent changes is documented. SourceWand AI, wand.ai/product-page and wand.ai/hubfs/Website/files/llms.txtread 2026-10-06
Browser & Computer Use	Not documented
Browser and computer use capabilities are not described anywhere in the product. Agents reach outside tools, data and services through the Agent Economy layer instead. SourceWand AI, wand.ai/product-pageread 2026-10-06

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Recent platform changes

2026-08-12·IntegrationsPartially Verified

Wand AI integrated VLNO's model robustness technology into its Sovereign AI offering. This integration generates adversarial attacks tailored to agentic workflows to harden open-weight models against vulnerabilities.

Bears on: Security / enterprise

View source

View all 1 change for Wand AI →Tracked since Aug 2026 · Verified from public vendor sources

Pricing

Not public; enterprise platform quoted through sales, scoped from single process automation up to entire divisions

enterprise agreement, believed scoped to agents, processes automated, and deployment model

What is public

No list prices, units or entry point are published; wand.ai/pricing returns 404 and the site routes buyers to a demo booking form. The four product layers and on premises, private cloud or hosted deployment are public.

Billing mechanics

Not published. Inference, not stated by the vendor: an enterprise agreement negotiated with sales, with scope tied to which product layers are deployed, from Agent Control Panel and Collaboration Platform through Process and Division Automation, and to the deployment model chosen.

Cost watchouts

Expanding from process automation to division automation, or from hosted to on premises deployment, may materially change contract size beyond an initial quote.

Variable cost rationale

Deployments are explicitly designed to scale at the customer's pace from a single process to full divisions, so cost presumably grows with the number of agents, processes, and departments automated, though pricing is negotiated as an enterprise agreement rather than metered on usage.

Additional watchouts

Confirm how pricing scales as automation expands from single processes toward division level deployment, and whether on premises or private cloud deployment carries different commercial terms than hosted.

Sales call required

Yes, required for paid access

Free / trial

No public free tier; contact and demo led

Key ambiguities

It is not published whether pricing is seat based for the collaboration layer, workload based for the automation layers, or a blended enterprise agreement.

Missing data

No public anchor for entry price, billing unit, or contract structure.

Agentic Index verified 2026-09-27

Official pricing page

Related vendors

Alternatives to Wand AI

The closest documented capability profiles to Wand AI among multi-agent platforms tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

Pokee AI8.5 / 14Adds documented APIs, SDKs & MCP Extensibility
Distyl AI8.0 / 14Adds documented Model Flexibility & Routing
Agent Zero10.0 / 14Adds documented Model Flexibility & Routing and APIs, SDKs & MCP Extensibility, among others
Artian11.0 / 14Adds documented Model Flexibility & Routing and APIs, SDKs & MCP Extensibility
Helio8.5 / 14Adds documented Model Flexibility & Routing and APIs, SDKs & MCP Extensibility
Legion Intelligence11.5 / 14Adds documented Model Flexibility & Routing and APIs, SDKs & MCP Extensibility

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Wand AI with other vendors →Compare all multi-agent platforms →See where Wand AI ranks →

Data confidence: medium

Head to head

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